{"id":1075,"date":"2012-09-02T19:37:02","date_gmt":"2012-09-02T10:37:02","guid":{"rendered":"http:\/\/www.is.doshisha.ac.jp\/news\/?p=1075"},"modified":"2012-09-02T19:37:02","modified_gmt":"2012-09-02T10:37:02","slug":"%e3%80%90%e9%80%9f%e5%a0%b1%e3%80%91ieee-embc","status":"publish","type":"post","link":"https:\/\/is.doshisha.ac.jp\/news\/?p=1075","title":{"rendered":"\u3010\u901f\u5831\u3011IEEE EMBC"},"content":{"rendered":"

San Diego\/USA\u3067\u958b\u50ac\u3055\u308c\u305fIEEE EMBC<\/a>\u306b\u3066\u4e0b\u8a18\u306e\uff14\u540d\u304c\u767a\u8868\u3057\u307e\u3057\u305f\u3002
\n\uff11\uff09\u3000Differences in Blood Flow between Auditory and Visual Stimuli in the Psychomotor Vigilance Task and GO\/NOGO Task\u3000Fukushima, Arika (Master Student)
\n2) Classification Subject Effects Using Changes in Cerebral Blood Flow on the Stroop Test Fukuhara, Michihiro (Master Student)
\n3)The Effects of Sound Environments on Performance of the Memorizing Numerical String Task and Cerebral Blood Flow Changes Hoshino, Yuchi (Master Student)
\n4) Distributed PACS Using Distributed File System with Hierarchical Meta Data Servers Minamitani, Yoshiyuki (Master Student)
\nEMBC\u306fBiomedical Engineering\u306b\u95a2\u9023\u3059\u308b\u5927\u304d\u306a\u56fd\u969b\u4f1a\u8b70\u306e\u4e00\u3064\u3067\u3059\u3002
\n\u975e\u5e38\u306b\u591a\u304f\u306e\u52c9\u5f37\u304c\u3067\u304d\u3001\u8ab2\u984c\u304c\u898b\u3048\u307e\u3057\u305f\u3002
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\n1. \u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n
\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/strong><\/td>\n\u5357\u8c37\u7965\u4e4b<\/td>\n<\/tr>\n
\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/strong><\/td>\n\u968e\u5c64\u7684\u306a\u30e1\u30bf\u30c7\u30fc\u30bf\u30b5\u30fc\u30d0\u3092\u6709\u3059\u308b\u5206\u6563\u30d5\u30a1\u30a4\u30eb\u30b7\u30b9\u30c6\u30e0\u3092\u5229\u7528\u3057\u305f\u533b\u7528\u753b\u50cf\u4fdd\u5b58\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0<\/td>\n<\/tr>\n
\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/strong><\/td>\nDistributed PACS using Distributed File System with Hierarchical Meta Data Servers<\/td>\n<\/tr>\n
\u8457\u8005<\/strong><\/strong><\/td>\n\u5357\u8c37\u7965\u4e4b, \u5ee3\u5b89\u77e5\u4e4b, \u4e09\u6728\u5149\u7bc4\uff0c\u6a2a\u5185\u4e45\u731b\uff0c\u5409\u898b \u771f\u8061<\/td>\n<\/tr>\n
\u4e3b\u50ac<\/strong><\/strong><\/td>\nIEEE Engineering in Medicine & Biology Society (EMBS)<\/td>\n<\/tr>\n
\u8b1b\u6f14\u4f1a\u540d<\/strong><\/strong><\/td>\n34th The Engineering in Medicine and Biology Conference (EMBC’12)<\/td>\n<\/tr>\n
\u4f1a\u5834<\/strong><\/strong><\/td>\nHilton San Diego Bayfront\u3000Hotel<\/td>\n<\/tr>\n
\u958b\u50ac\u65e5\u7a0b<\/strong><\/strong><\/td>\n2012\/08\/28 – 2012\/09\/01<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\n \n<\/div>\n

 
\n2. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30
\n2012\/08\/28\u304b\u30892012\/09\/01\u306b\u304b\u3051\u3066\uff0cSan Diego, California, USA\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305fEMBC\u201912\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u672c\u5b66\u4f1a\u306f\uff0c\u533b\u7642\u306b\u95a2\u3057\u3066\u751f\u4f53\u5de5\u5b66\u3084\u8133\u79d1\u5b66\uff0c\u533b\u7642\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u306a\u30695\u65e5\u9593\u306b\u304b\u3051\u3066\u5e45\u5e83\u3044\u5206\u91ce\u306e\u65b9\u306e\u7814\u7a76\u767a\u8868\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3057\u305f\uff0e
\n\u672c\u7814\u7a76\u5ba4\u304b\u3089\u798f\u539f\uff0c\u798f\u5cf6\uff0c\u661f\u91ce\u3068\u5171\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u751f\u547d\u533b\u79d1\u5b66\u90e8\u4ed6\u7814\u306e\u6797\u3055\u3093\uff0c\u5b89\u9054\u3055\u3093\uff0c\u5357\u3055\u3093\u3068\u3082\u4e8b\u524d\u306b\u4ea4\u6d41\u3092\u884c\u3044\uff0c\u5b66\u4f1a\u3067\u5171\u306b\u767a\u8868\u81f4\u3057\u307e\u3057\u305f\uff0e
\n 
\n 
\n3. \u7814\u7a76\u767a\u8868
\n3.1. \u767a\u8868\u6982\u8981
\n\u79c1\u306f4\u65e5\u76ee8\u670831\u65e5\u306e15:00 \u301c 16:15\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300cHealth Information Systems II (Poster Session)\u300d\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u3067\uff0c75\u5206\u9593\u306e\u767a\u8868\u6642\u9593\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n\n\n\n
In this research, we propose a new distributed PACS (Picture Archiving and Communication Systems) which is available to integrate several PACSs that exist in each medical institution. The conventional PACS controls DICOM file into one data-base. On the other hand, in the proposed system, DICOM file is separated into meta data and image data and those are stored individually. Using this mechanism, since file is not always accessed the entire data, some operations such as finding files, changing titles, and so on can be performed in high-speed.At the same time, as distributed file system is utilized, accessing image files can also achieve high-speed access and high fault tolerant.The introduced system has a more significant point.That is the simplicity to integrate several PACSs.\u00a0 In the proposed system, only the meta data servers are integrated and integrated system can be constructed. This system also has the scalability of file access with along to the number of file numbers and file sizes. On the other hand, because meta-data server is integrated, the meta data server is the weakness of this system. To solve this defect, hieratical meta data servers are introduced.Because of this mechanism, not only fault\u2010tolerant ability is increased but scalability of file access is also increased.To discuss the proposed system, the prototype system using Gfarm was implemented.For evaluating the implemented system, file search operating time of Gfarm and NFS were compared.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 
\n3.2. \u8cea\u7591\u5fdc\u7b54
\n\u4eca\u56de\u306e\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u3067\u306f\uff0c\u6bd4\u8f03\u7684\u60f3\u5b9a\u3057\u3066\u3044\u305f\u8cea\u554f\u3092\u591a\u304f\u9802\u304d\u307e\u3057\u305f\uff0e\u65e5\u672c\u4eba\u306e\u65b9\u306b\u306f\u75c5\u9662\u95a2\u4fc2\u8005\u306e\u65b9\u304c\u304a\u308a\uff0c\u5b9f\u969b\u306b\u5229\u7528\u3059\u308b\u969b\u306e\u6d41\u308c\u306a\u3069\u306b\u3064\u3044\u3066\u8cea\u554f\u3092\u9802\u304d\u307e\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u9802\u3044\u305f\u8cea\u554f\u306b\u3064\u3044\u3066\u8a18\u3057\u307e\u3059\uff0e
\n 
\n\u30fb \u3069\u3046\u3044\u3046\u30d5\u30a1\u30a4\u30eb\u306e\u6d41\u308c\u306b\u306a\u3063\u3066\u3044\u308b\u306e\u304b\uff1f\u5b9f\u969b\u306b\u5229\u7528\u3059\u308b\u969b\u306b\u306f\u3069\u306e\u3088\u3046\u306b\u5229\u7528\u3059\u308b\u306e\u304b\uff1f
\n\u3010\u56de\u7b54\u3011\u3000\u4fdd\u5b58\u30d5\u30a7\u30a4\u30ba\u306e\u6d41\u308c\u306b\u3064\u3044\u3066\u8aac\u660e\uff0e
\n\u30fb \u306a\u305cGfarm\u3092\u4f7f\u7528\u3057\u305f\u306e\u304b\uff1f
\n\u3010\u56de\u7b54\u3011\u3000XML\u62e1\u5f35\u5c5e\u6027\u3068\u3044\u3046\u72ec\u81ea\u6a5f\u80fd\u3092\u6301\u3064\u305f\u3081\uff0e
\n\u30fb \u9023\u643a\u30b5\u30fc\u30d0\u306f\u3069\u306e\u3088\u3046\u306a\u60c5\u5831\u3092\u6301\u3064\u306e\u304b\uff1f
\n\u3010\u56de\u7b54\u3011\u3000\u5834\u6240\u60c5\u5831\u306e\u307f\u3092\u6301\u3063\u3066\u304a\u308a\uff0c\u975e\u5e38\u306b\u30c7\u30fc\u30bf\u91cf\u306f\u5c0f\u3055\u3044\uff0e
\n\u30fb \u9023\u643a\u30b5\u30fc\u30d0\u306e\u8ca0\u8377\u306f\u5927\u304d\u3044\u306e\u3067\u306f\uff1f
\n\u3010\u56de\u7b54\u3011\u3000DNS\u30b5\u30fc\u30d0\u306e\u3088\u3046\u306a\u5f79\u5272
\n\u30fb \u5b9f\u969b\u533b\u8005\u306f\u96fb\u5b50\u30ab\u30eb\u30c6\u3092\u4f7f\u3046\uff0e\u533b\u8005\u306f\u3069\u3046\u4f7f\u3048\u3070\u826f\u3044\uff1f
\n\u3010\u56de\u7b54\u3011\u3000\u96fb\u5b50\u30ab\u30eb\u30c6\u306f\u5206\u304b\u3089\u306a\u3044\uff0e\u305f\u3060\uff0cPACS\u306b\u554f\u3044\u5408\u308f\u305b\u3092\u884c\u3063\u3066\u3044\u308b\u306e\u3067\uff0c\u540c\u3058\u3088\u3046\u306b
\n\u554f\u3044\u5408\u308f\u305b\u308c\u3070\u4f7f\u3048\u308b\uff0e\u5916\u90e8\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3060\u3051\u3053\u306e\u30e1\u30bf\u60c5\u5831\u3092\u7528\u3044\u308c\u3070\u3088\u3044\uff0e
\n\u30fb \u8a55\u4fa1\u306f\u3069\u306e\u3088\u3046\u306b\u884c\u3063\u3066\u3044\u308b\u306e\u304b\uff1f
\n\u3010\u56de\u7b54\u3011\u3000\u901f\u5ea6\u8a55\u4fa1
\n\u30fb \u30b7\u30b9\u30c6\u30e0\u306e\u8a55\u4fa1\u3063\u3066\u96e3\u3057\u3044\u3088\u306d\uff0e\u3053\u306e\u8a55\u4fa1\u3067\u826f\u3044\u306e\uff1f
\n\u3010\u56de\u7b54\u3011\u3000\u826f\u304f\u306f\u306a\u3044\u304c\uff0c\u30e6\u30fc\u30b6\u30d3\u30ea\u30c6\u30a3\u306e\u8a55\u4fa1\u3068\u3044\u3046\u306e\u3082\u5c11\u3057\u9055\u3046\uff0e\u96e3\u3057\u3044\uff0e
\n\u30fb \u533b\u7642\u60c5\u5831\u5b66\u4f1a\u3068\u304b\u3042\u308b\u306e\u3067\u3059\u304b\uff1f\u3053\u306e\u7814\u7a76\u306f\u3069\u3046\u3044\u3063\u305f\u6240\u3067\u767a\u8868\u3059\u308b\u306e\uff1f
\n\u3010\u56de\u7b54\u3011\u3000\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u306a\u3069\u3067\u767a\u8868\u3092\u884c\u3063\u3066\u3044\u308b\uff0e\u533b\u7642\u7cfb\u306f\u521d\u3081\u3066\uff0e
\n 
\n 
\n 
\n3.3. \u611f\u60f3
\n\u767a\u8868\u306f\uff0c\u5916\u56fd\u4eba\u306e\u65b95\u540d\uff0c\u65e5\u672c\u4eba\u306e\u65b93\u540d\u306b\u8cea\u554f\u3092\u9802\u304d\u307e\u3057\u305f\uff0e\u4eba\u6570\u306f\u5c11\u3057\u5c11\u306a\u304b\u3063\u305f\u3067\u3059\u304c\uff0c75\u5206\u9593\u306e\u767a\u8868\u306e\u5185\uff0c\u307b\u3068\u3093\u3069\u4f11\u61a9\u3092\u53d6\u308b\u3053\u3068\u306a\u304f\u8aac\u660e\u3057\u3066\u3044\u305f\u305f\u3081\uff0c\u8074\u8b1b\u8005\u306e\u65b9\u3068\u6df1\u304f\u8b70\u8ad6\u304c\u3067\u304d\u305f\u3068\u611f\u3058\u3066\u304a\u308a\u307e\u3059\uff0e\u8cea\u554f\u3067\u306f\uff0c\u5b9f\u969b\u306b\u4f7f\u3046\u969b\u306b\u306f\u3069\u306e\u3088\u3046\u306a\u6d41\u308c\u306b\u306a\u308b\u306e\u304b\u3068\u3044\u3063\u305f\u70b9\u3092\u8cea\u554f\u3055\u308c\u308b\u65b9\u304c\u591a\u304b\u3063\u305f\u3067\u3059\uff0e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306ePACS\u3092\u958b\u767a\u3057\u3066\u3044\u308b\u65b9\u3084\uff0c\u75c5\u9662\u95a2\u4fc2\u8005\u306e\u65b9\u306a\u3069\u306b\u8cea\u554f\u3092\u9802\u304d\u307e\u3057\u305f\uff0e\u53e3\u982d\u767a\u8868\u306b\u6bd4\u3079\uff0c\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u4f1a\u8a71\u304c\u6c42\u3081\u3089\u308c\u521d\u3081\u306f\u62b5\u6297\u304c\u3042\u308a\u307e\u3057\u305f\u304c\uff0c\u7d42\u308f\u3063\u3066\u307f\u308c\u3070\u975e\u5e38\u306b\u697d\u3057\u3044\u767a\u8868\u3068\u306a\u308a\u307e\u3057\u305f\uff0e
\n 
\n 
\n4. \u8074\u8b1b
\n\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u8074\u8b1b\u3057\u307e\u3057\u305f\u767a\u8868\u306e\u4e2d\u304b\u3089\uff0c5\u4ef6\u5831\u544a\u3055\u305b\u3066\u9802\u304d\u307e\u3059\uff0e\u306a\u304a\uff0c\u5199\u771f\u306b\u3064\u3044\u3066\u306f\u30d5\u30a1\u30a4\u30eb\u30b5\u30a4\u30ba\u3092\u5c0f\u3055\u304f\u3059\u308b\u305f\u3081\u89e3\u50cf\u5ea6\u3092\u843d\u3068\u3057\u3066\u3044\u307e\u3059\uff0e
\n\u30101\u4ef6\u76ee\u3011<\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Line Following Terrestrial Insect Biobots\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Tahmid Latif, and Alper Bozkurt\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Brain-Machine Interfaces with RoboticsPDF\u30d5\u30a1\u30a4\u30eb\u540d \uff1a\u300002512171.pdfAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a The present day technology falls short in offering centimeter scale mobile robots that can function effectively under unknown and dynamic environmental conditions. Insects, on the other hand, exhibit an unmatched ability to navigate through a wide variety of environments and overcome perturbations by successfully maintaining control and stability. In this study, we use neural stimulation systems to wirelessly navigate cockroaches to follow lines to enable terrestrial insect biobots. We also propose a system-on-chip based ZigBee enabled wireless neurostimulation backpack system with on- board tissue-electrode bioelectrical coupling verification. Such a capability ensures an electrochemically safe stimulation and avoids irreversible damage to the interface which is often misinterpreted as habituation of the insect to the applied stimulation.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 
\n\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u6606\u866b\uff08\u30b4\u30ad\u30d6\u30ea\uff09\u306b\u96fb\u6975\u3092\u6307\u3057\u64cd\u4f5c\u3092\u884c\u3046\u4e8b\u3092\u53ef\u80fd\u306b\u3059\u308b\u88c5\u7f6e\u306e\u958b\u767a\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3057\u305f\uff0e\u7814\u7a76\u306e\u76ee\u7684\u3068\u3057\u3066\u306f\u707d\u5bb3\u73fe\u5834\u306a\u3069\u3067\uff0c\u4eba\u9593\u304c\u5165\u308a\u8fbc\u3081\u306a\u3044\u9699\u9593\u3067\u3082\u30b4\u30ad\u30d6\u30ea\u3092\u64cd\u4f5c\u3057\u3066\u72b6\u6cc1\u3092\u628a\u63e1\u3059\u308b\u305f\u3081\u306e\u5229\u7528\u3092\u76ee\u6307\u3057\u3066\u3044\u308b\u305d\u3046\u3067\u3059\uff0e\u7814\u7a76\u306e\u672c\u8cea\u3067\u306f\u306a\u3044\u3067\u3059\u304c\uff0c\u300c\u306a\u305c\u3053\u306e\u866b\uff08\u30b4\u30ad\u30d6\u30ea\uff09\u3092\u9078\u3093\u3060\u306e\u304b\uff1f\u300d\u3068\u8cea\u554f\u81f4\u3057\u307e\u3057\u305f\uff0e\u6b63\u76f4\u306a\u3068\u3053\u308d\uff0c\u82f1\u8a9e\u3067\u306e\u8aac\u660e\u3092\u805e\u304d\u53d6\u308b\u3053\u3068\u306f\u3067\u304d\u306a\u304b\u3063\u305f\u306e\u3067\u3059\uff0e\u5e30\u56fd\u5f8c\uff0c\u3053\u306e\u8ad6\u6587\u306b\u95a2\u9023\u3059\u308b\u8a18\u4e8b\u3092\u898b\u3064\u3051\u307e\u3057\u305f\u306e\u3067\uff0c\u5408\u308f\u305b\u3066\u5831\u544a\u3057\u307e\u3059\uff0e
\n\u3010\u53c2\u8003\u3011\u3000\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u30b3\u30e0\u3000\uff1a\u3000http:\/\/japan.internet.com\/interestingly\/20120907\/1.html
\n 
\n\u30102\u4ef6\u76ee\u3011<\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Real-time Fusion of Gaze and EMG for a Reaching<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Neuroprosthesis
\n\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Elaine A. Corbett, Konrad P. Kording and Eric J. Perreault
\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Neural Interfaces and Regeneration
\nPDF\u30d5\u30a1\u30a4\u30eb\u540d \uff1a\u300001930983.pdf
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a For rehabilitative devices to restore functional movement to paralyzed individuals, user intent must be determined from signals that remain under voluntary control. Tracking eye movements is a natural way to learn about an intended reach target and, when com- bined with just a small set of electromyograms (EMGs) in a probabilistic mixture model, can reliably generate accurate trajectories even when the target information is uncertain. To experimentally assess the effectiveness of our algorithm in closed-loop control, we developed a ro- botic system to simulate a reaching neuroprosthetic. In- corporating target information by tracking subjects\u2019 gaze greatly improved performance when the set of EMGs was most limited. In addition we found that online performance was better than predicted by the offline accuracy of the training data. By enhancing the trajecto- ry model with target information the decoder relied less on neural control signals, reducing the burden on the user.
\n 
\n\u3053\u306e\u7814\u7a76\u3067\u306f\uff0c\u8eab\u4f53\u304c\u4e0d\u81ea\u7531\u306a\u4eba\u306e\u30ea\u30cf\u30d3\u30ea\u306b\u304a\u3044\u3066\uff0c\u753b\u9762\u3092\u4e2d\u6b62\u3059\u308b\u969b\u306e\u5b9f\u9a13\u306b\u95a2\u3059\u308b\u767a\u8868\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3057\u305f\uff0e\u76ee\u306e\u52d5\u304d\u3068\u8155\u306e\u52d5\u304d\u3092\u30bb\u30f3\u30b9\u3057\uff0c\u8155\u306b\u3088\u308a\u753b\u9762\u3092\u30dd\u30a4\u30f3\u30bf\u3067\u6307\u3059\u969b\u306e\u30dd\u30a4\u30f3\u30bf\u306e\u4f4d\u7f6e\u3068\u8996\u7dda\u60c5\u5831\u306e\u3070\u3089\u3064\u304d\u306b\u3064\u3044\u3066\u8003\u5bdf\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3057\u305f\uff0e
\n\u30103\u4ef6\u76ee\u3011<\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Human Behavior State Profile Mapping Based on Recalibrated<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Speech Affective Space Model
\n\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a N. Kamaruddin, and A. Wahab
\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Patient Monitoring Devices and Systems II
\nPDF\u30d5\u30a1\u30a4\u30eb\u540d \uff1a\u300005160389.pdf
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a People typically associate health with only physical health. However, health is also interconnected to mental and emotional health. People who are emotionally healthy are in control of their behaviors and experience better quality of life. Hence, understanding human behavior is very important in ensuring the complete understanding of one\u2019s holistic health. In this paper, we attempt to map human behavior state (HBS) profiles onto recalibrated speech affective space model (rSASM). Such an approach is derived from hypotheses that: 1) Behavior is influenced by emotion, 2) Emotion can be quantified through speech, 3) Emotion is dynamic and changes over time and 4) the emotion conveyance is conditioned by culture. Empirical results illustrated that the proposed approach can complement other types of behavior analysis in such a way that it offers more explanatory components from the perspective of emotion primitives (valence and arousal). Four different driving HBS; namely: distracted, laughing, sleepy and normal are profiled onto the rSASM to visualize the correlation between HBS and emotion. This approach can be incorporated in the future behavior analysis to envisage better performance.
\n 
\n\u3053\u306e\u7814\u7a76\u3067\u306f\uff0c\u5065\u5eb7\u3092\u8eab\u4f53\u7684\u306a\u3082\u306e\u3060\u3051\u3067\u306f\u306a\u304f\uff0c\u7cbe\u795e\u4e0a\u306e\u5065\u5eb7\u3068\u3044\u3046\u5074\u9762\u3067\u3082\u6349\u3048\u4eba\u9593\u306e\u8a08\u6e2c\u3059\u308b\u767a\u8868\u3067\u3057\u305f\uff0e\u300cspeech emotion analysis\u300d\u3068\u3044\u3046\u624b\u6cd5\u3092\u7528\u3044\u3066\uff0c\u559c\u6012\u54c0\u697d\u306e\u5834\u5408\u306eArousal\uff08\u899a\u9192\u5ea6\uff09\u3068valence\uff08\u539f\u5b50\u4fa1\uff1f\uff09\u304b\u3089\u611f\u60c5\u9593\u306b\u50be\u5411\u306e\u9055\u3044\u304c\u3042\u308b\u3068\u7d50\u8ad6\u3065\u3051\u3089\u308c\u3066\u3044\u307e\u3057\u305f\uff0e
\n 
\n\u30104\u4ef6\u76ee\u3011<\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Interactive Segmentation of Airways from Chest X-ray Images<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

using Active Shape Models
\n\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000\u9999\u5c71 \u559c\u5f66
\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Teshwaree Tezoo and Tania S. Douglas
\nPDF\u30d5\u30a1\u30a4\u30eb\u540d \uff1a\u300003870056.pdf
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Classification of airway shapes in chest X-ray images may be useful in computer-aided detection of lymphadenopathy associated with pediatric tuberculosis. This paper presents an interactive approach for airway segmentation from chest X-ray images that may be used in an airway shape classification algorithm. A local normalization filter is applied as a preprocessing step to enhance the visibility of the airways. Segmentation is then performed with the aid of active shape models (ASMs), which are warped to a set of manually defined control points on the image to be segmented, using an affine transformation. Two shape models are built, one of which consists of points on the airway edges only and the other consists of points on the airway edges as well as points on the ribs. The ASMs are built from a set of manually segmented images. The Hausdorff distance is used to compute the accuracy of the segmentations with reference to a manual segmentation.
\n 
\n\u3053\u306e\u7814\u7a76\u3067\u306f\uff0c\u80f8\u90e8X\u7dda\u753b\u50cf\u306b\u304a\u3044\u3066\uff0c\u7279\u5b9a\u306e\u90e8\u4f4d\uff08\u6c17\u9053\uff09\u3092\u9bae\u660e\u306b\u3059\u308b\u305f\u3081\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u767a\u8868\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3057\u305f\uff0e\u73fe\u753b\u50cf\u306b\u5bfe\u3057\u3066\u30d5\u30a3\u30eb\u30bf\u3092\u304b\u3051\u308b\u3053\u3068\u3067\uff0c\u307e\u305a\u753b\u50cf\u3092\u9bae\u660e\u306b\u3057\uff0c\u305d\u306e\u5f8c\u76ee\u7684\u306e\u90e8\u4f4d\uff08\u4eca\u56de\u306f\u6c17\u9053\uff09\u3092\u7279\u5b9a\u3057\u307e\u3059\uff0e\u753b\u50cf\u81ea\u4f53\u3092\u9bae\u660e\u306b\u3059\u308b\u3060\u3051\u3067\u306f\u306a\u304f\uff0c\u7279\u5b9a\u90e8\u4f4d\u306e\u5ea7\u6a19\u60c5\u5831\u3092\u7279\u5b9a\u3057\uff0c\u305d\u306e\u5f62\u72b6\u3092\u629c\u304d\u51fa\u3059\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u305d\u306e\u305f\u3081\u306b\u5f62\u72b6\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u3044\u308b\u3068\u306e\u3053\u3068\u3067\u3057\u305f\u304c\uff0c\u6700\u7d42\u7684\u306b\u306f\u30e6\u30fc\u30b6\u306e\u64cd\u4f5c\u306b\u3088\u3063\u3066\u5b8c\u4e86\u3055\u308c\u308b\u3088\u3046\u3067\u3059\uff0e
\n\u30105\u4ef6\u76ee\u3011<\/p>\n\n\n\n
\u00a0 <\/strong>\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Interactive Radiology Teaching File System: the Development<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

of a MIRC-Compliant and User-Centered e-Learning Resource
\n\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a M. dos-Santos and A. Fujino
\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Health Information Systems II
\nPDF\u30d5\u30a1\u30a4\u30eb\u540d \uff1a\u300017630750.pdf
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Radiology teaching usually employs a systematic and comprehensive set of medical images and related information. Databases with representative radiological images and documents are highly desirable and widely used in Radiology teaching programs. Currently, computer-based teaching file systems are widely used in Medicine and Radiology teaching as an educational resource. This work addresses a user-centered radiology electronic teaching file system as an instance of MIRC compliant medical image database. Such as a digital library, the clinical cases are available to access by using a web browser. The system has offered great opportunities to some Radiology residents interact with experts. This has been done by applying user-centered techniques and creating usage context-based tools in order to make available an interactive system.
\n\u3053\u306e\u7814\u7a76\u3067\u306f\uff0c\u653e\u5c04\u7dda\u6a5f\u5668\u3092\u6271\u3046\u533b\u5e2b\u3084\u6280\u8853\u8005\u306b\u5bfe\u3057\u3066\u9069\u5207\u306a\u5b66\u7fd2\u30b7\u30b9\u30c6\u30e0\u3092\u63d0\u4f9b\u3059\u308be-Learning\u30b7\u30b9\u30c6\u30e0\u306b\u95a2\u3059\u308b\u767a\u8868\u3067\u3057\u305f\uff0e\u3069\u306e\u30d5\u30a7\u30a4\u30ba\u3092\u5b66\u3076\u30b7\u30b9\u30c6\u30e0\u304b\u8cea\u554f\u3057\u305f\u3068\u3053\u308d\uff0cMRI\u88c5\u7f6e\u306a\u3069\u306e\u6271\u3044\u304b\u3089\uff0c\u533b\u7642\u60c5\u5831\u306e\u7ba1\u7406\u307e\u3067\u5168\u3066\u306e\u30d5\u30a7\u30a4\u30ba\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u308b\u3068\u306e\u3053\u3068\u3067\u3057\u305f\uff0e\u672c\u30b7\u30b9\u30c6\u30e0\u306f\u5bfe\u8a71\u7684\u306b\u884c\u308f\u308c\uff0c\u5b9f\u969b\u306b\u5229\u7528\u8005\u304c\u4f7f\u7528\u3059\u308b\u3068\uff0c\u305d\u306e\u5229\u7528\u72b6\u6cc1\u304b\u3089\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u304c\u884c\u308f\u308c\uff0c\u305d\u308c\u3092\u30c7\u30fc\u30bf\u3068\u3057\u3066\u84c4\u7a4d\u3059\u308b\u6a5f\u69cb\u3092\u6301\u3063\u3066\u3044\u308b\u305d\u3046\u3067\u3059\uff0e
\n\uff08\u5199\u771f\u306a\u3057\uff09
\n 
\n 
\n\u53c2\u8003\u6587\u732e
\n1)\u00a0\u00a0\u00a0 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), http:\/\/embc2012.embs.org\/<\/p>\n

\n

\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/strong><\/p>\n<\/div>\n

\n\n\n\n\n\n\n\n\n\n\n
\u00a0<\/strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/strong><\/td>\n\u798f\u5cf6\u3000\u4e9c\u68a8\u82b1<\/td>\n<\/tr>\n
\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/strong><\/td>\n\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/td>\n<\/tr>\n
\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/strong><\/td>\nDifferences in blood flow between auditory and visual stimuli in the Psychomotor Vigilance Task and GO\/NOGO Task<\/td>\n<\/tr>\n
\u8457\u8005<\/strong><\/strong><\/td>\nTomoyuki Hiroyasu, Arika Fukushima, HIsatake Yokouchi<\/td>\n<\/tr>\n
\u4e3b\u50ac<\/strong><\/strong><\/td>\nIEEE Engineering in Medicine and Biology Society<\/td>\n<\/tr>\n
\u8b1b\u6f14\u4f1a\u540d<\/strong><\/strong><\/td>\nThe 34th\u00a0Annual International Conference of the IEEE Engineering in Medicine and Biology Society<\/td>\n<\/tr>\n
\u4f1a\u5834<\/strong><\/strong><\/td>\nHilton San Diego Bayfront<\/td>\n<\/tr>\n
\u958b\u50ac\u65e5\u7a0b<\/strong><\/strong><\/td>\n2012\/08\/27-2012\/09\/01<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\n \n<\/div>\n

 
\n1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30
\n2012\/08\/27\u304b\u30892012\/09\/01\u306b\u304b\u3051\u3066\uff0c\u30a2\u30e1\u30ea\u30ab\u306eHilton San Diego Bayfront\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305fThe 34th\u00a0Annual International Conference of the IEEE Engineering in Medicine and Biology Societ\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u3053\u306eThe 34th\u00a0Annual International Conference of the IEEE Engineering in Medicine and Biology Society1)<\/sup>\u306f\uff0cIEEE Engineering in Medicine and Biology Society\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3055\u308c\u305f\u7814\u7a76\u4f1a\u3067\uff0c\u5ee3\u5b89\u5148\u751f\uff0c\u6a2a\u5185\u5148\u751f\uff0c\u798f\u539f\u7406\u5b8f\u3055\u3093\uff0c\u5357\u8c37\u7965\u4e4b\u3055\u3093\uff0c\u661f\u91ce\u96c4\u5730\u3055\u3093\u3068\u5171\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u3053\u306e\u5b66\u4f1a\u306f\uff0c\u7814\u7a76\u5ba4\u306e\u6d3b\u6027\u5316\u3092\u56f3\u308b\u305f\u3081\u306e\u8b70\u8ad6\u3092\u884c\u3044\uff0c\u5404\u7a2e\u7814\u7a76\u5ba4\u884c\u4e8b\u3092\u5186\u6ed1\u306b\u9032\u3081\u308b\u3053\u3068\u3092\u76ee\u7684\u306b\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\uff0e
\n\u79c1\u306f8\u670828\u3000\u65e5(\u706b)\u304b\u30899\u67081\u65e5(\u571f)\u306e\u4f1a\u671f\u671f\u9593\u5168\u3066\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u6a2a\u5185\u5148\u751f\uff0c\u798f\u539f\u3055\u3093\uff0c\u5357\u8c37\u3055\u3093\uff0c\u661f\u91ce\u304f\u3093\u304c\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e
\n 
\n2. \u7814\u7a76\u767a\u8868
\n2.1. \u767a\u8868\u6982\u8981
\n\u79c1\u306f8\u670829\u65e5(\u6c34)\u306e15:00~16:30\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300cOptical Imaging Poster 1\u300d\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u3067\uff0c90\u5206\u9593\uff0c\u30dd\u30b9\u30bf\u30fc\u306e\u524d\u306b\u7acb\u3061\uff0c\u8208\u5473\u3092\u6301\u3063\u3066\u3044\u305f\u3060\u3044\u305f\u65b9\u3068\u81ea\u5206\u306e\u7814\u7a76\u306b\u3064\u3044\u3066\u30c7\u30a3\u30b9\u30ab\u30c3\u30b7\u30e7\u30f3\u3059\u308b\u3068\u3044\u3046\u5f62\u5f0f\u3067\u3057\u305f\uff0e
\n\u4eca\u56de\u306e\u767a\u8868\u306f\uff0cPsychomotor Vigilance Task (PVT) \u3068 GO\/NOGO task\u306b\u3064\u3044\u3066\u7570\u306a\u308b\u8074\u899a\u523a\u6fc0\u3084\u8996\u899a\u523a\u6fc0\u3067\u8133\u306e\u6d3b\u6027\u5316\u90e8\u4f4d\u304c\u3069\u306e\u3088\u3046\u306b\u9055\u3046\u306e\u304b\u3092\u767a\u8868\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u305d\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n\n\n\n
The Psychomotor Vigilance Task (PVT) and the GO\/NOGO task are generally applied to measure the ability of sustained attention. Advances in functional brain imaging equipment, such as functional Magnetic Resonance Imaging (fMRI) and functional Near-Infrared Spectroscopy (fNIRS), have resulted in increased application of brain imaging with these tasks. However, several different stimuli are adopted in these tasks, including both auditory and visual stimuli. Therefore, even when a subject performs these tasks, it can be assumed that the activated brain regions would vary when the different stimuli are given. Furthermore, even when a subject performs the tasks with the same sustained attention, the activated brain regions would vary when the configurations of these tasks are different. In this study, the reaction time and changes in blood flow were measured when a subject performed the PVT and GO\/NOGO tasks, and so it is possible to discuss (1) the differences between visual and auditory stimuli and (2) the differences between PVT and GO\/NOGO tasks. The results indicated increased blood flow at the left side of the dorsolateral prefrontal cortex in the PVT with visual stimulus compared with the auditory stimulus. In the GO\/NOGO task, the blood flow associated with visual stimuli increased at the both sides of the inferior temporal gyrus and the right side of the inferior frontal gyrus compared with auditory stimuli. These observations suggested that the configurations of these tasks, such as the PVT and the GO\/NOGO tasks, exert influences on the activated brain regions when a subject performs these tasks.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 
\n2.2. \u8cea\u7591\u5fdc\u7b54
\n\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e
\n 
\n\u30fb\u8cea\u554f\u5185\u5bb9<\/strong>1<\/strong>
\n\u30a2\u30e1\u30ea\u30ab\u306e\u5927\u5b66\u751f\u306e\u65b9\u3067\u3057\u305f\u304c\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306ffunctional Near-infrared Spectroscopy(fNIRS)\u88c5\u7f6e\u3067\u8a08\u6e2c\u3057\u305f\u751f\u30c7\u30fc\u30bf\u3092\u898b\u305b\u3066\u307b\u3057\u3044\u3068\u3044\u3046\u3082\u306e\u3068\uff0c\u7d71\u8a08\u7684\u89e3\u6790\u65b9\u6cd5\u306f\u59a5\u5f53\u306a\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u88c5\u7f6e\u3067\u8a08\u6e2c\u3057\u305f\u751f\u30c7\u30fc\u30bf\u306b\u95a2\u3057\u3066\u306f\u305d\u306e\u5834\u3067\u7528\u610f\u3057\u3066\u304a\u3089\u305a\uff0c\u304a\u898b\u305b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u305a\uff0c\u5927\u5909\u6b8b\u5ff5\u306b\u601d\u3044\u307e\u3059\uff0e\u7d71\u8a08\u7684\u89e3\u6790\u6cd5\u306e\u59a5\u5f53\u6027\u3067\u3057\u304c\uff0c\u81ea\u5206\u304c\u3069\u306e\u3088\u3046\u306b\u8003\u3048\u3066\u3053\u306e\u3088\u3046\u306a\u7d71\u8a08\u7684\u624b\u6cd5\u3092\u884c\u3063\u305f\u304b\u3092\u82f1\u8a9e\u3067\u8aac\u660e\u81f4\u3057\u307e\u3057\u305f\u304c\uff0c\u306a\u304b\u306a\u304b\u4f1d\u308f\u3089\u305a\uff0c\u81ea\u5206\u306e\u82f1\u8a9e\u80fd\u529b\u306e\u4f4e\u3055\u3092\u75db\u611f\u81f4\u3057\u307e\u3057\u305f\uff0e
\n 
\n\u30fb\u8cea\u554f\u5185\u5bb9<\/strong>2<\/strong>
\n\u540c\u5fd7\u793e\u5927\u5b66\u6a5f\u68b0\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u5ba4\u306e\u5b89\u9054\u3055\u3093\u304b\u3089\u306e\u8cea\u554f\u3067\u3057\u305f\uff0e\u3053\u306e\u7814\u7a76\u76ee\u7684\u3092\u8a73\u3057\u304f\u6559\u3048\u3066\u6b32\u3057\u3044\u3068\u306e\u8cea\u554f\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u56de\u7b54\u3067\u3059\u304c\uff0c\u3053\u306e\u7814\u7a76\u3092\u9054\u6210\u3059\u308b\u3053\u3068\u3067\uff0c\u4ed6\u306e\u7814\u7a76\u8005\u304cPVT\u3084GO\/NOGO task\u3092\u7528\u3044\u8133\u6a5f\u80fd\u306e\u7814\u7a76\u3092\u884c\u3046\u969b\u306b\u6ce8\u610f\u3059\u3079\u304d\u4e8b\u9805\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u304c\u3067\u304d\uff0c\u7814\u7a76\u76ee\u7684\u306b\u5247\u3057\u305f\u8ab2\u984c\u5185\u5bb9\u3092\u63d0\u4f9b\u3067\u304d\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3068\u3044\u3046\u3053\u3068\u3067\u3057\u305f\uff0e
\n 
\n\u30fb\u8cea\u554f\u5185\u5bb9<\/strong>3<\/strong>
\n\u4e2d\u56fd\u306e\u5927\u5b66\u751f\u306e\u65b9\u3067\u3057\u305f\u304c\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\uff0eElectroencephalogram(EEG)\u88c5\u7f6e\u3067\u7814\u7a76\u3092\u884c\u3063\u3066\u3044\u308b\u5b66\u751f\u306e\u65b9\u3067\u3057\u305f\u304c\uff0cfNIRS\u88c5\u7f6e\u3068\u306f\uff0c\u307e\u305f\uff0c\u305d\u306e\u5229\u70b9\u306e\u8cea\u554f\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u56de\u7b54\u3067\u3059\u304c\uff0efNIRS\u88c5\u7f6e\u306e\u7279\u5fb4\uff0c\u5229\u70b9\u3092\u7b54\u3048\u3055\u305b\u3066\u9802\u304d\uff0c\u3053\u306e\u7814\u7a76\u306f\u306a\u305cfNIRS\u88c5\u7f6e\u3067\u306a\u3044\u3068\u3044\u3051\u306a\u3044\u306e\u304b\u3068\u3044\u3046\u3053\u3068\u3092\u56de\u7b54\u3055\u305b\u3066\u9802\u304d\u307e\u3057\u305f\uff0e
\n 
\n\u30fb\u8cea\u554f\u5185\u5bb9<\/strong>4<\/strong>
\n\u65e5\u672c\u306e\u6559\u6388\u306e\u65b9\u3067\u3057\u305f\u304c\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\uff0e\u53cd\u5fdc\u6642\u9593\u306b\u3064\u3044\u3066\u3067\u3059\u304c\uff0c\u306a\u305c\u8996\u899a\u523a\u6fc0\u306e\u53cd\u5fdc\u6642\u9593\u304c\u8074\u899a\u523a\u6fc0\u3088\u308a\u3082\u9045\u304f\u306a\u3063\u305f\u306e\u304b\u3068\u3044\u3046\u3053\u3068\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u56de\u7b54\u3067\u3059\u304c\uff0c\u8996\u899a\u523a\u6fc0\u306e\u65b9\u304c\uff0c\u8074\u899a\u523a\u6fc0\u306b\u6bd4\u3079\u60c5\u5831\u91cf\u304c\u591a\u304f\u3044\u305f\u3081\u3068\u3044\u3046\u56de\u7b54\u3092\u81f4\u3057\u307e\u3057\u305f\uff0e
\n 
\n2.3. \u611f\u60f3
\n\u4eca\u56de90\u5206\u9593\u3082\u69d8\u3005\u306a\u7814\u7a76\u8005\u3068\u81ea\u5206\u306e\u7814\u7a76\u306b\u3064\u3044\u3066\u30c7\u30a3\u30b9\u30ab\u30c3\u30b7\u30e7\u30f3\u3059\u308b\u6a5f\u4f1a\u3092\u9802\u3051\u3066\u672c\u5f53\u306b\u611f\u8b1d\u306e\u5ff5\u3057\u304b\u3042\u308a\u307e\u305b\u3093\uff0e\u3057\u304b\u3057\uff0c\u81ea\u5206\u306e\u6e96\u5099\u4e0d\u8db3\u3068\u82f1\u8a9e\u80fd\u529b\u306e\u306a\u3055\u3067\u305b\u3063\u304b\u304f\u306e\u6a5f\u4f1a\u306b\u5168\u529b\u3067\u6311\u3080\u3053\u3068\u304c\u3067\u304d\u305a\u5927\u5909\u6094\u3057\u3044\u3067\u3059\uff0e\u307e\u305f\uff0c\u30a2\u30e1\u30ea\u30ab\u306e\u5b66\u751f\u306e\u65b9\u306b\u306f\u306a\u304b\u306a\u304b\u4f1d\u308f\u3089\u305a30\u5206\u9593\u3082\u4ed8\u304d\u5408\u3063\u3066\u4e0b\u3055\u308a\uff0c\u56fd\u3092\u8d85\u3048\u305f\u4eba\u306e\u6e29\u304b\u3055\u3082\u611f\u3058\u307e\u3057\u305f\uff0e\u6765\u5e74\u306f\u6e96\u5099\u3092\u4e07\u5168\u306b\u671f\u3057\u3066\uff0c\u3082\u3063\u3068\u6709\u610f\u7fa9\u306a\u30c7\u30a3\u30b9\u30ab\u30c3\u30b7\u30e7\u30f3\u3092\u3067\u304d\u308b\u3088\u3046\u306b\u9811\u5f35\u308a\u305f\u3044\u3068\u601d\u3044\u307e\u3059\uff0e
\n 
\n3. \u8074\u8b1b
\n\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e5\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e
\n <\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Toward High-Performance Clinically Viable Brain-Machine Interfaces\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Krishna V. Shenoy\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Keynote
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Neural prosthetic systems, also termed Brain-Machine Interfaces, aim to help disabled patients by translating neural signals from the brain into control signals for guiding computer cursors, prosthetic arms, and other assistive devices. Intracortical electrode arrays measure action potentials and local field potentials from individual neurons, or small populations of neurons, in the motor cortices and can provide considerable information for controlling prostheses. Despite several compelling proof-of-concept laboratory animal experiments and an ongoing FDA Phase I clinical trial, at least three key challenges remain which, if left unaddressed, may hamper the translation of these systems into widespread clinical use. We will review these challenges: achieving able-bodied levels of performance across tasks and across environments, achieving robustness across multiple years, and restoring able-bodied quality proprioception and somatosensation. We will also describe some emerging opportunities for meeting these challenges, as well as recent results from our laboratory. If these challenges can be met, intracortically-based neural prostheses may achieve full clinical viability and help increasing numbers of disabled patients.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u3053\u306e\u767a\u8868Brain-Machine Interfaces(BMI)\u306e\u8ab2\u984c\u306b\u3064\u3044\u3066\u3067\u3057\u305f\uff0e\u767a\u8868\u306e\u9014\u4e2d\uff0cEEG\u3092\u7528\u3044\u305fBMI\u3092\u30de\u30a6\u30b9\u306b\u4f7f\u7528\u3057\u305f\u30c7\u30e2\u3092\u898b\u305f\u306e\u3067\u3059\u304c\uff0c\u3057\u3063\u304b\u3057\u3068BMI\u672c\u6765\u306e\u6a5f\u80fd\u3092\u679c\u305f\u3057\u3066\u304a\u308a\uff0c\u7d20\u6674\u3089\u3057\u304b\u3063\u305f\u3067\u3059\uff0e
\n <\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aA Method for Mapping Brain Atlas to Patient Brain Structure by Least-Squares Mesh Method\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Kobayashi, Kaoru\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Hardware and Control Developments in Robotics II
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a This paper presents a new method for mapping a conventional Paxinos atlas onto the patient’s image without the training data. Our mapping uses Least-Squares Mesh (LSM) method. When source and target mesh models and some correspondences between the points of the two models are given, LSM method deforms the source mesh so that it is fitted to the target mesh while moving the points of the source toward to their corresponding points of the target. Paxinos atlas is the set of slices of a cadaver brain. Each slice consists of contours included in the slice, and 3D vertices forming each contour. To apply the LSM method to our method, the triangular mesh model of a given atlas slice is generated. From the vertices on the patient brain surface, we manually specify the corresponding vertices of the points on the brain surface contour of the atlas. Using LSM method with the correspondences, the atlas mesh is mapped onto the patient image. From the experiments using real patient brain images, our method can map Paxinos altas to the patient brain.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u3053\u306e\u767a\u8868\u3067\u7740\u76ee\u3057\u305f\u306e\u306f\u53e4\u5178\u8133\u304b\u3089fMRI\u306e\u753b\u50cf\u306e\u8133\u6df1\u90e8\u304c\u3069\u306e\u90e8\u4f4d\u3067\u3042\u308b\u304b\u4e88\u6e2c\u3059\u308b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u8ab2\u984c\u3068\u3057\u3066\u306f\uff0c\u8133\u6df1\u90e8\u3092\u3069\u306e\u90e8\u4f4d\u304b\u4e88\u6e2c\u3059\u308b\u969b\u306e\u8a08\u7b97\u30b3\u30b9\u30c8\u306e\u591a\u3055\u3067\u3057\u305f\uff0e\u3053\u308c\u306f\uff0c\u3053\u306e\u533b\u7642\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u5ba4\u306b\u901a\u305a\u308b\u3082\u306e\u3067\u3042\u308a\uff0c\u3068\u3066\u3082\u8208\u5473\u6df1\u3044\u767a\u8868\u3067\u3057\u305f\uff0e
\n <\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aA Software Prototype for the Assessment of Tumor Treatment Response Using Diffusion and Perfusion MR Imaging\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Sakkalis, Vangelis\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a MRI IV: Poster I
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Advanced MRI techniques including diffusion and perfusion weighted imaging, has the potential to provide early surrogate biomarkers to detect, characterize and assess treatment response of tumors. However, the widely accepted Response Evaluation Criteria in Solid Tumors (RECIST) are still considered as the gold standard for the evaluation of treatment response in solid tumors, even if according to recent studies RECIST seem to disregard the extent of necrosis, which is the target of all effective locoregional therapies. This is partly due to the fact that measurements of tumor size aren\u2019t the best criterion for assessing actual early response. On the other hand, more sophisticated techniques such as the Apparent Diffusion Coefficient (ADC) and perfusion parameters are usually processed manually and evaluated independently using commercial CAD software, not widely available. In this paper we present an open access extensible software platform providing both diffusion and perfusion analysis in a single, user friendly environment that allows the radiologist to easily and objectively evaluate tumor response to therapy.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u3053\u306e\u767a\u8868\u306f\u56fa\u5f62\u816b\u760d\uff08RECIST\uff09\u3092\u8a55\u4fa1\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u306e\u63d0\u6848\u3067\u3057\u305f\uff0e\u3053\u306e\u7814\u7a76\u5ba4\u306e\u5927\u5800\u541b\u306e\u7814\u7a76\u306b\u901a\u305a\u308b\u3082\u306e\u304c\u3042\u308a\uff0cCAD\u306a\u3069\u306e\u554f\u984c\u70b9\u3082\u53d6\u308a\u4e0a\u3052\u3066\u304a\u308a\uff0c\u4f7f\u7528\u3059\u308b\u30e6\u30fc\u30b6\u30fc\u76ee\u7dda\u306b\u7acb\u3063\u305f\u30b7\u30b9\u30c6\u30e0\u306e\u63d0\u6848\u3067\uff0c\u52c9\u5f37\u306b\u306a\u308a\u307e\u3057\u305f\uff0e
\n <\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aCellular and Molecular Image Analysis\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Erik Meijering, Ph.D.\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a keynote
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a A main challenge of biomedical research in the postgenomic era is the unraveling of the cellular and molecular mechanisms of life. Thorough understanding of the biological processes occurring at these scales is of fundamental importance for the discovery of biomarkers for early diagnosis and for the development of effective drugs and therapies. In the past two decades, revolutionary advances in molecular probing and microscopic imaging technologies have had an enormous impact on the field, and progress in biology has come to rely heavily on these technologies. It has become clear that in order to get the full picture of any living thing, it is necessary to study not only its spatial (morphological or anatomical) properties, but also its temporal (dynamic or functional) behavior. This requires time-lapse imaging, and indeed it is nowadays commonplace to image biological phenomena in three dimensions over time, at multiple wavelengths. The rapidly increasing size (currently in the gigabyte range), dimensionality (3D, 4D, 5D), and complexity (high-content) of the resulting image data poses new challenges for automated data management and analysis. One of the topics for which interest has increased exponentially over the years is object tracking. In order to detect, segment, track, and quantify hundreds to thousands of cells or particles in many hundreds to thousands of image frames, sophisticated computerized methods are very much needed. The goal of this presentation is to survey and discuss the latest trends in the development and application of such methods.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7d30\u80de\u5206\u5b50\u753b\u50cf\u5206\u6790\u306b\u3064\u3044\u3066\u306e\u767a\u8868\u3067\u3057\u305f\uff0e\u7d30\u80de\u753b\u50cf\u306b\u3064\u3044\u3066\u306f\u99b4\u67d3\u307f\u6df1\u304f\uff0cKeynote\u3068\u3044\u3046\u3053\u3068\u3082\u3042\u308a\uff0c\u82f1\u8a9e\u3067\u3082\u7406\u89e3\u3067\u304d\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u3068\u601d\u3044\uff0c\u6311\u6226\u3057\u307e\u3057\u305f\u304c\u3068\u3066\u3082\u96e3\u3057\u304b\u3063\u305f\u3067\u3059\uff0e\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u3092\u3064\u3051\u305f\u7d30\u80de\u753b\u50cf\u3092\u7814\u7a76\u3059\u308b\u3053\u3068\u306f\u795e\u7d4c\u6d3b\u52d5\u3092\u89e3\u660e\u3059\u308b\u306b\u3042\u3063\u305f\u3066\u975e\u5e38\u306b\u91cd\u8981\u3060\u3068\u3044\u3046\u3053\u3068\u3092\u805e\u3044\u3066\u3044\u305f\u306e\u3067\uff0c\u8208\u5473\u306f\u3042\u3063\u305f\u306e\u3067\u3059\u304c\uff0c\u3088\u304f\u7406\u89e3\u3067\u304d\u306a\u304b\u3063\u305f\u3053\u3068\u304c\u6b8b\u5ff5\u3067\u306a\u308a\u307e\u305b\u3093\uff0e
\n <\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aLow-cost intracortical spiking recordings compression with classification abilities for implanted BMI devices\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Bertrand Coppa\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Biomedical Signal Classification III
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Within Brain-Machine Interface systems, cortically implanted microelectrode arrays and associated hardware have a low power budget for data sampling, processing and transmission. It is already possible to reduce neural data rates by on-site spike detection; we propose a method to further compress spiking data at a low computational cost, with the objective of maintaining clustering and classification abilities. The method relies on random binary vector projections, and simulations show that it is possible to achieve a compression ratio of 5 at virtually no cost in terms of classification errors.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u3053\u306e\u767a\u8868\u306fBMI\u306e\u6d88\u8cbb\u96fb\u529b\u306e\u4f4e\u30b3\u30b9\u30c8\u5316\u306e\u7814\u7a76\u3067\u3057\u305f\uff0e\u307e\u305a\uff0c\u9a5a\u3044\u305f\u306e\u306fBMI\u304c\u4f4e\u30b3\u30b9\u30c8\u5316\u306b\u7740\u624b\u3067\u304d\u308b\u3050\u3089\u3044\u767a\u5c55\u3057\u3066\u3044\u305f\u3053\u3068\u3067\u3059\uff0e\u307e\u305f\uff0c\u4f4e\u30b3\u30b9\u30c8\u5316\u306e\u969b\u306b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u624b\u6cd5\u3092\u5229\u7528\u3057\u3066\u3044\u308b\u3053\u3068\u306f\u65b0\u9bae\u3067\u3057\u305f\uff0e
\n 
\n\u53c2\u8003\u6587\u732e
\n1)\u00a0\u00a0\u00a0 The 34th\u00a0Annual International Conference of the IEEE Engineering in Medicine and Biology Society,\u3000http:\/\/embc2012.embs.org\/
\n <\/p>\n

\n

\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/strong><\/p>\n<\/div>\n

\n\n\n\n\n\n\n\n\n\n\n
\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/strong><\/td>\n\u661f\u91ce\u96c4\u5730<\/td>\n<\/tr>\n
\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/strong><\/td>\n\u97f3\u74b0\u5883\u304c\u6570\u5b57\u8a18\u61b6\u8ab2\u984c\u306e\u6210\u7e3e\u3068\u8133\u8840\u6d41\u5909\u5316\u306b\u53ca\u307c\u3059\u5f71\u97ff\u306e\u691c\u8a0e<\/td>\n<\/tr>\n
\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/strong><\/td>\nThe Effects of Sound Environments on Performance of the Memorizing Numerical String Task and Cerebral Blood Flow Changes<\/a><\/td>\n<\/tr>\n
\u8457\u8005<\/strong><\/strong><\/td>\n\u5ee3\u5b89\u77e5\u4e4b, \u661f\u91ce\u96c4\u5730, \u6a2a\u5185\u4e45\u731b<\/td>\n<\/tr>\n
\u4e3b\u50ac<\/strong><\/strong><\/td>\n\u533b\u7642\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u5ba4<\/td>\n<\/tr>\n
\u8b1b\u6f14\u4f1a\u540d<\/strong><\/strong><\/td>\nThe 34th\u00a0Annual International Conference of the IEEE Engineering in Medicine and Biology Society<\/td>\n<\/tr>\n
\u4f1a\u5834<\/strong><\/strong><\/td>\nHilton San Diego\u3000Indigo Ballroom<\/td>\n<\/tr>\n
\u958b\u50ac\u65e5\u7a0b<\/strong><\/strong><\/td>\n2012\/08\/29-2012\/09\/01<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\n \n<\/div>\n

 
\n1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30
\n2012\/08\/29\u304b\u30892012\/09\/01\u306b\u304b\u3051\u3066\uff0cHilton San Diego\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305fThe 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff08http:\/\/embc2012.embs.org\/<\/a>\uff09\uff0e\u3053\u306e\u4f1a\u8b70\u306f\uff0cIEEE\u53ca\u3073EMB\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3055\u308c\uff0c\u5b66\u751f\u3068\u6559\u54e1\u304c\u53c2\u52a0\u3057\u3066\uff0c\u30d8\u30eb\u30b9\u30b1\u30a2\u3084\u30e9\u30a4\u30d5\u30b5\u30a4\u30a8\u30f3\u30b9\u306e\u5206\u91ce\u306b\u5de5\u5b66\uff0c\u79d1\u5b66\uff0c\u60c5\u5831\u306e\u6700\u5148\u7aef\u6280\u8853\u3092\u5fdc\u7528\u3059\u308b\u305f\u3081\u306b\u8b70\u8ad6\u3092\u884c\u3044\uff0c\u533b\u5b66\u306e\u5206\u91ce\u306b\u8ca2\u732e\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u306b\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\uff0e
\n\u79c1\u306f\uff0c30\u65e5\u306b\u767a\u8868\u3092\u884c\u3044\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u6a2a\u5185\u5148\u751f\uff0c\u5357\u8c37\u3055\u3093\uff0c\u798f\u539f\u3055\u3093\uff0c\u798f\u5cf6\u3055\u3093\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e29\u65e5\uff08\u6c34\uff09\u306b\u306f\uff0c\u798f\u539f\u3055\u3093\uff0c\u798f\u5cf6\u3055\u3093\u304c31\u65e5\u306b\u306f\u5357\u8c37\u3055\u3093\u304c\u767a\u8868\u3092\u884c\u3044\u307e\u3057\u305f\uff0e
\n 
\n2. \u7814\u7a76\u767a\u8868
\n2.1. \u767a\u8868\u6982\u8981
\n\u79c1\u306f30\u65e5\u306e9:30\u304b\u3089\u59cb\u307e\u308b\u30bb\u30c3\u30b7\u30e7\u30f3\u300cLate Breaking Posters I\u300d\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u3067\uff0c\u767a\u8868\u6642\u9593\u306f90\u5206\u3067\u3057\u305f\uff0e
\n\u4eca\u56de\u306e\u767a\u8868\u306f\uff0c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u306e\u5185\u5bb9\u306b\u88ab\u9a13\u8005\u3092\u5897\u3084\u3057\u3066\u767a\u8868\u3057\u305f\u3082\u306e\u3067\u3059\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n\n\n\n
In this study, we have investigated the effects of sound environments upon task performances and cerebral blood flow (CBF) changes. A task to memorize numerical strings was selected for the experiment, because it should require short-term memory. The task was consisted of two parts; memorizing eight digits and replying the same eight digits. Near-infrared spectroscopy (NIRS) was used to monitor the CBF changes. As the result, the task performance showed significant difference under the different sound environments. Also, the difference of sound environments brought the different patterns in CBF changes in the left frontal area. These results suggest that a relationship exists between task performances and CBF changes under the influence of sound environments.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 
\n2.2. \u8cea\u7591\u5fdc\u7b54
\n\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e
\n 
\n\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><\/strong>
\nNIRS\u3068\u306f\u3069\u3093\u306a\u88c5\u7f6e\u306a\u306e\u304b\uff0c\u8133\u8840\u6d41\u5909\u5316\u304c\u4e0a\u6607\u3059\u308b\u3053\u3068\u306f\u4f55\u3092\u610f\u5473\u3059\u308b\u306e\u304b
\n\u2192\u8133\u306e\u6d3b\u6027\u306b\u4f34\u3046\u30aa\u30ad\u30b7\u30d8\u30e2\u30b0\u30ed\u30d3\u30f3\u3068\u30c7\u30aa\u30ad\u30b7\u30d8\u30e2\u30b0\u30ed\u30d3\u30f3\u306e\u76f8\u5bfe\u91cf\u5909\u5316\u3092\u8a08\u6e2c\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u308b\u88c5\u7f6e\uff0e\u4e00\u822c\u7684\u306b\u30aa\u30ad\u30b7\u30d8\u30e2\u30b0\u30ed\u30d3\u30f3\u306e\u5897\u52a0\u306f\u8133\u306e\u6d3b\u6027\u3092\u793a\u3059\u3068\u8a00\u308f\u308c\u3066\u3044\u308b\uff0e
\n 
\n\u30e2\u30fc\u30c4\u30a2\u30eb\u30c8\u3092\u9078\u3093\u3060\u6839\u62e0\u306f\u4f55\u306a\u306e\u304b
\n\u2192\u30e2\u30fc\u30c4\u30a2\u30eb\u30c8\u52b9\u679c\u3068\u3057\u3066\uff0c2\u53f0\u306e\u30d4\u30a2\u30ce\u306e\u305f\u3081\u306e\u30bd\u30ca\u30bf\u3092\u5c0f\u5b66\u751f\u306b\u8074\u304b\u305b\u308b\u3053\u3068\u3067\u7a7a\u9593\u8a8d\u77e5\u30c6\u30b9\u30c8\u306e\u7d50\u679c\u304c\u5411\u4e0a\u3059\u308b\u3053\u3068\u304c\u77e5\u3089\u308c\u3066\u3044\u308b\u305f\u3081\u672c\u7814\u7a76\u3067\u3082\u8ab2\u984c\u6210\u7e3e\u306b\u4f55\u3089\u304b\u306e\u5f71\u97ff\u3092\u3082\u305f\u3089\u3059\u3053\u3068\u3092\u671f\u5f85\u3057\u3066\u9078\u629e\u3057\u305f\uff0e
\n 
\n65dB\u306b\u8a2d\u5b9a\u3057\u305f\u7406\u7531\u306f\uff0c65dB\u3068\u3044\u3046\u306e\u306f\u5e73\u5747\u5024\uff1f
\n\u2192\u5148\u884c\u7814\u7a76\u306b\u5f93\u3044\u8a2d\u5b9a\u3057\u305f\uff0e\u7b49\u4fa1\u9a12\u97f3\u30ec\u30d9\u30eb\u3092\u7528\u3044\u3066\u3044\u308b\uff0e
\n 
\n\u88ab\u9a13\u8005\u306f\u4f55\u540d\u304b\uff1f\u7537\u6027\u3068\u5973\u6027\u3067\u3084\u3063\u3066\u3044\u308b\u306e\u304b\uff1f
\n\u2192\u88ab\u9a13\u8005\u306f20\u540d\u3067\uff0c\u7537\u6027\u304c11\uff0c\u5973\u6027\u304c9\u540d\u3067\u3042\u308b\uff0e
\n 
\n\u6570\u5b57\u8a18\u61b6\u8ab2\u984c\u3068\u306f\u4f55\u306a\u306e\u304b
\n\u21923\u79d2\u9593\u3067\u8868\u793a\u3055\u308c\u308b8\u3064\u306e\u6570\u5b57\u3092\u8a18\u61b6\u3057\uff0c\u305d\u306e\u5f8c\u8a18\u61b6\u3057\u305f\u6570\u5b57\u3092\u5165\u529b\u3059\u308b\uff0c\u77ed\u671f\u8a18\u61b6\u3092\u5fc5\u8981\u3068\u3059\u308b\u8ab2\u984c\u3067\u3042\u308b\uff0e\u5148\u884c\u7814\u7a76\u3092\u53c2\u8003\u306b\u3057\u305f\uff0e
\n 
\n\u306a\u305c8\u3064\u306e\u6570\u5b57\u306a\u306e\u304b\uff0c\u88ab\u9a13\u8005\u306b\u3088\u308a\u96e3\u3057\u3044\u3068\u611f\u3058\u308b\u4eba\u3082\u3044\u308b\u306e\u3067\u306f
\n\u2192\u4eba\u9593\u304c\u77ed\u6642\u9593\u3067\u8a18\u61b6\u3067\u304d\u308b\u6587\u5b57\u6570\u304c7\u00b11\u6587\u5b57\u3067\u3042\u308b\u3068\u5831\u544a\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u304b\u3089\uff0c\u88ab\u9a13\u8005\u306b\u3088\u308a\u96e3\u6613\u5ea6\u304c\u5927\u304d\u304f\u7570\u306a\u308b\u3053\u3068\u306f\u7121\u3044\uff0e
\n\u306a\u305c\u88ab\u9a13\u8005\u3092\u5206\u985e\u3057\u305f\u306e\u304b\uff1f
\n\u2192\u4ee5\u524d\u306e\u7814\u7a76\u3067\u8ab2\u984c\u304c\u3088\u304f\u3067\u304d\u305f\u88ab\u9a13\u8005\u3068\u305d\u3046\u3067\u306a\u3044\u88ab\u9a13\u8005\u3067\u306f\u97f3\u74b0\u5883\u306e\u5f71\u97ff\u306e\u53d7\u3051\u65b9\u306b\u5dee\u7570\u304c\u3042\u308b\u3053\u3068\u304c\u5206\u304b\u3063\u3066\u3044\u308b\u304b\u3089\uff0e
\n 
\n\u9759\u97f3\u306e\u6210\u7e3e\u3067\u5206\u985e\u3057\u305f\u7406\u7531\u306f
\n\u2192\u9759\u97f3\u306e\u74b0\u5883\u306b\u304a\u3044\u3066\u3082\u6210\u7e3e\u306b\u30d0\u30e9\u3064\u304d\u304c\u898b\u53d7\u3051\u3089\u308c\u305f\u305f\u3081\uff0c\u9ad8\u6210\u7e3e\u306e\u88ab\u9a13\u8005\u3068\u4f4e\u6210\u7e3e\u306e\u88ab\u9a13\u8005\u306b\u5206\u985e\u3057\u305f
\n 
\n\u306a\u305c\u4f4e\u6210\u7e3e\u306e\u88ab\u9a13\u8005\u306f\u97f3\u306e\u5f71\u97ff\u3092\u53d7\u3051\u6613\u3044\u306e\u304b
\n\u2192\u3053\u308c\u306b\u3064\u3044\u3066\u306f\u307e\u3060\u691c\u8a0e\u306e\u6700\u4e2d\u3067\u3042\u308b\u304c\uff0c\u96c6\u4e2d\u529b\u304c\u95a2\u4fc2\u3057\u3066\u3044\u308b\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u8003\u3048\u3089\u308c\u308b
\n 
\n\u9759\u97f3\u3068\u30db\u30ef\u30a4\u30c8\u30ce\u30a4\u30ba\uff0c\u30e2\u30fc\u30c4\u30a2\u30eb\u30c8\u3067\u4e00\u756a\u826f\u3044\u6210\u7e3e\u3092\u6b8b\u3057\u305f\u88ab\u9a13\u8005\u306f\u540c\u3058\u306a\u306e\u3067\u306f\u306a\u3044\u304b
\n\u2192\u691c\u8a0e\u3057\u3066\u3044\u306a\u304b\u3063\u305f\uff0e\u3082\u3057\u304b\u3057\u305f\u3089\u540c\u3058\u304b\u3082\u3057\u308c\u306a\u3044
\n 
\n\u97f3\u306e\u63d0\u793a\u9806\u5e8f\u306f\u3069\u3046\u306a\u3063\u3066\u3044\u308b\u306e\u304b
\n\u2192\u30ab\u30a6\u30f3\u30bf\u30fc\u30d0\u30e9\u30f3\u30b9\u3092\u53d6\u308b\u305f\u3081\u306b\u30e9\u30f3\u30c0\u30e0\u306b\u3057\u3066\u3044\u308b
\n 
\n\u6700\u7d42\u7684\u306b\u4f55\u304c\u3057\u305f\u3044\u306e\u304b
\n\u2192\u88ab\u9a13\u8005\u3092\u97f3\u306e\u5f71\u97ff\u304c\u53d7\u3051\u3084\u3059\u3044\u7fa4\u3068\u53d7\u3051\u306b\u304f\u3044\u7fa4\u306b\u5206\u985e\u3057\uff0c\u5f71\u97ff\u3092\u53d7\u3051\u6613\u3044\u88ab\u9a13\u8005\u306b\u5bfe\u3057\u4f5c\u696d\u306b\u52b9\u679c\u7684\u306a\u97f3\u74b0\u5883\u3092\u63d0\u4f9b\u3059\u308b\uff0e
\n 
\n\u3000\u3000\u3000<\/strong>\u30db\u30ef\u30a4\u30c8\u30ce\u30a4\u30ba\u306e\u65b9\u304c\u826f\u304b\u3063\u305f\u88ab\u9a13\u8005\u3082\u3044\u308b\u306e\u3067\u306f
\n\u2192\u7537\u6027\u88ab\u9a13\u8005\u306b\u6bd4\u3079\u3066\u5973\u6027\u88ab\u9a13\u8005\u3067\u306f\u9759\u97f3\u306b\u6bd4\u3079\u3066\u30db\u30ef\u30a4\u30c8\u30ce\u30a4\u30ba\u3067\u6210\u7e3e\u304c\u5411\u4e0a\u3059\u308b\u50be\u5411\u304c\u898b\u53d7\u3051\u3089\u308c\u305f\uff0e\u5973\u6027\u306f\u30db\u30ef\u30a4\u30c8\u30ce\u30a4\u30ba\u3092\u5feb\u9069\u306b\u611f\u3058\u308b\u7814\u7a76\u3082\u5831\u544a\u3055\u308c\u3066\u3044\u308b\uff0e
\n 
\n\u8133\u8840\u6d41\u5909\u5316\u3067\u30db\u30ef\u30a4\u30c8\u30ce\u30a4\u30ba\u304c\u3042\u307e\u308a\u4e0a\u6607\u3057\u306a\u3044\u306e\u306f\u306a\u305c\u304b\uff0e\u6210\u7e3e\u3068\u306e\u95a2\u9023\u3092\u898b\u308b\u3068\u8133\u8840\u6d41\u5909\u5316\u3082\u9759\u97f3\u3068\u540c\u3058\u3088\u3046\u306a\u50be\u5411\u3092\u793a\u3055\u306a\u3051\u308c\u3070\u3044\u3051\u306a\u3044\u306e\u3067\u306f\uff1f
\n\u2192\u3053\u306e\u8cea\u554f\u306b\u306f\u3046\u307e\u304f\u7b54\u3048\u3089\u308c\u306a\u304b\u3063\u305f\uff0e\u30db\u30ef\u30a4\u30c8\u30ce\u30a4\u30ba\u306e\u5f71\u97ff\u3092\u53d7\u3051\u305f\u88ab\u9a13\u8005\u304c\u5927\u304d\u304f\u8840\u6d41\u3092\u4e0b\u3052\u305f\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u7b54\u3048\u305f\uff0e
\n 
\n\u00a0\u00a0\u00a0 <\/strong>\u306a\u305c\u4eca\u56de\u306e\u97f3\u306b\u3057\u305f\u306e\u304b\uff1f\u79c1\u306f\u4f5c\u696d\u3092\u3059\u308b\u6642\u30ed\u30c3\u30af\u3092\u8074\u304f\u3053\u3068\u3082\u3042\u308b\uff0e\u305d\u306e\u307b\u3046\u304c\u6357\u308b\u3088\u3046\u306a\u6c17\u304c\u3059\u308b\u306e\u3060\u3051\u308c\u3069\u3082\uff0e
\n\u2192\u4eca\u5f8c\u306f\u30ed\u30c3\u30af\u3084\u97f3\u58f0\u60c5\u5831\u306e\u3042\u308b\u97f3\u697d\u306a\u3069\u69d8\u3005\u306a\u97f3\u74b0\u5883\u306b\u3064\u3044\u3066\u691c\u8a0e\u3057\u3066\u3044\u304f\u5fc5\u8981\u304c\u3042\u308b\u3068\u8003\u3048\u3066\u3044\u308b\uff0e\u307e\u305f\uff0c\u4eca\u56de\u306e\u3088\u3046\u306a\u77ed\u671f\u7684\u306a\u8a18\u61b6\u3092\u5fc5\u8981\u3068\u3059\u308b\u8ab2\u984c\u306b\u304a\u3044\u3066\u306f\u97f3\u5727\u306e\u5909\u5316\u304c\u5927\u304d\u3044\u307b\u3069\u5f71\u97ff\u304c\u8d77\u3053\u308a\u3084\u3059\u3044\u3053\u3068\u304c\u8003\u3048\u3089\u308c\u308b\uff0e
\n 
\n\u88ab\u9a13\u8005\u306e\u5206\u985e\u306e\u4ed5\u65b9\u306f\u3053\u306e\u65b9\u6cd5\u3067\u3044\u3044\u306e\u304b
\n\u2192\u73fe\u5728\u306fk-means\u6cd5\u3092\u7528\u3044\u305f\u88ab\u9a13\u8005\u5206\u985e\u3092\u691c\u8a0e\u3057\u3066\u3044\u308b\uff0e
\n 
\nNIRS\u3092\u7528\u3044\u308b\u610f\u5473\u306f\u4f55\u306a\u306e\u304b\uff1f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3060\u3051\u3067\u5341\u5206\u306a\u306e\u3067\u306f\uff1f
\n\u2192\u8133\u306e\u6d3b\u6027\u306e\u3072\u3068\u3064\u3067\u3042\u308b\u8133\u8840\u6d41\u5909\u5316\u3092\u5224\u65ad\u306e\u6307\u6a19\u306b\u7528\u3044\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3053\u3068\u3092\u3053\u306e\u7814\u7a76\u3067\u306f\u63d0\u6848\u3057\u3066\u3044\u308b\uff0e
\n 
\n2.3. \u611f\u60f3
\n\u53cd\u7701\u70b9\u306f\u82f1\u8a9e\u529b\uff0e\u4f1d\u308f\u308b\u3082\u306e\u3082\u4f1d\u308f\u3089\u306a\u3044\u3057\uff0c\u76f8\u624b\u306e\u8cea\u554f\u306e\u610f\u56f3\u3092\u7406\u89e3\u3067\u304d\u306a\u3044\u3053\u3068\u304c\u4f55\u56de\u304b\u3042\u3063\u305f\uff0e\u826f\u304b\u3063\u305f\u70b9\u306f\u8cea\u554f\u304c\u51fa\u308b\u3067\u3042\u308d\u3046\u3082\u306e\u306fppt\u306b\u307e\u3068\u3081\u3066iPad\u3092\u7528\u3044\u3066\u8aac\u660e\u306b\u5229\u7528\u3057\u305f\uff0e\u3053\u308c\u306b\u3088\u308a\u81ea\u5206\u306e\u82f1\u8a9e\u304c\u60aa\u304f\u3066\u3082\u3042\u308b\u7a0b\u5ea6\u306f\u7406\u89e3\u3057\u3066\u3044\u305f\u3060\u3051\u305f\uff0e\u5b09\u3057\u304b\u3063\u305f\u306e\u306f\u304b\u306a\u308a\u591a\u304f\u306e\u4eba\u306b\u898b\u3066\u3082\u3089\u3044\uff0c\u5199\u771f\u3092\u64ae\u3063\u3066\u3082\u3089\u3048\u305f\u3053\u3068\u3067\u3042\u308b\uff0e\u307b\u3068\u3093\u3069\u306e\u4eba\u304c\uff0c\u8133\u306e\u6d3b\u6027\u3068\u4f5c\u696d\u6210\u7e3e\u304c\u97f3\u306b\u3088\u308a\u7570\u306a\u308b\u3053\u3068\u3092\u4f1d\u3048\u308b\u3068\u3068\u3066\u3082\u9762\u767d\u3044\u7d50\u679c\u3060\u3068\u8a00\u3063\u3066\u4e0b\u3055\u3063\u305f\uff0eNIRS\u3092\u77e5\u3063\u3066\u3044\u308b\u4eba\u306f\u5c11\u306a\u304f\uff0c\u8133\u8840\u6d41\u5909\u5316\u304c\u7d76\u5bfe\u7684\u306a\u3082\u306e\u3067\u306f\u306a\u304f\uff0c\u76f8\u5bfe\u5024\u3067\u3042\u308b\u3053\u3068\u3092\u4f1d\u3048\u308b\u306e\u306b\u82e6\u52b4\u3057\u305f\uff0e
\n 
\n3. \u8074\u8b1b
\n\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e4\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e
\n <\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000A Low Noise, Non-Contact Capacitive Cardiac Sensor\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Peng GuoChen, Bocko Mark
\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a BioSensors
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a The development of sensitive, non-contact electric field sensors to measure weak bioelectric signals will be useful for the development of a number of unobtrusive health sensors. In this paper we summarize our recent work on a number of specific challenges in the development of non-contact ECG sensors. First, we considered the design of a low noise sensor preamplifier. We have adapted circuit designs that incorporate a double feedback loop to cancel the input transistor leakage current while providing stable operation, fast settling time and good low frequency response without the need for ultrahigh value resistors. The measured input referred noise of the preamplifier in the frequency band 0.05-100 Hz is 0.76 uVrms, which is several times lower than existing ECG preamplifiers.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u3053\u306e\u767a\u8868\u306f\uff0c\u5fc3\u96fb\u56f3\u306b\u304a\u3051\u308b\u96fb\u6975\u306e\u30bb\u30f3\u30b5\u306b\u3064\u3044\u3066\u7814\u7a76\u3057\u3066\u3044\u308b\u3082\u306e\u3067\u3042\u308b\uff0e\u63d0\u6848\u624b\u6cd5\u306f\u4f4e\u30ce\u30a4\u30ba\u96fb\u89e3\u30c8\u30e9\u30f3\u30b8\u30b9\u30bf\u306e\u8a2d\u8a08\u3067\u3042\u308a\uff0c\u5c06\u6765\u7684\u306b\u306f\u30b7\u30e7\u30fc\u30c8\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3ECG\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u308b\uff0e\u3053\u306e\u7814\u7a76\u306e\u6210\u679c\u3068\u3057\u3066\uff0c\u4fe1\u53f7\u306e\u5897\u5e45\u52b9\u7387\u304a\u3088\u3073\u30ce\u30a4\u30ba\u51e6\u7406\u3092\u5411\u4e0a\u3055\u305b\u308b\u4e8b\u306b\u3088\u308a\uff0c\u73fe\u6bb5\u968e\u3067\u306f\u76ae\u819a\u96fb\u6975\u3067\u306e\u8a08\u6e2c\u306b\u9650\u3089\u308c\u308b\u306e\u306b\u5bfe\u3057\uff0c\u63d0\u6848\u624b\u6cd5\u3067\u306f\u670d\uff08\u4e0b\u7740\uff09\u3092\u7740\u305f\u4e0a\u304b\u3089\u5fc3\u96fb\u306e\u8a08\u6e2c\u304c\u53ef\u80fd\u306b\u306a\u308b\u3053\u3068\u3092\u5831\u544a\u3057\u3066\u3044\u308b\uff0e
\n <\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Line Following Terrestrial Insect Biobots\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Bozkurt Alper, Latif Tahmid
\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Brain-Machine Interfaces with Robotics
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a The present day technology falls short in offering centimeter scale mobile robots that can function effectively under unknown and dynamic environmental conditions. Insects, on the other hand, exhibit an unmatched ability to navigate through a wide variety of environments and overcome perturbations by successfully maintaining control and stability. In this study, we use neural stimulation systems to wirelessly navigate cockroaches to follow lines to enable terrestrial insect biobots. We also propose a system-on-chip based ZigBee enabled wireless neurostimulation backpack system with on-board tissue-electrode bioelectrical coupling verification. Such a capability ensures an electrochemically safe stimulation and avoids irreversible damage to the interface which is often misinterpreted as habituation of the insect to the applied stimulation.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 
\n\u3053\u306e\u7814\u7a76\u306f\uff0c\u30b4\u30ad\u30d6\u30ea\u306e\u795e\u7d4c\u7d4c\u8def\u3092\u523a\u6fc0\u3059\u308b\u3053\u3068\u3067\u9060\u9694\u5730\u304b\u3089\u306e\u30b3\u30f3\u30c8\u30ed\u30fc\u30eb\u3092\u53ef\u80fd\u306b\u3057\u305f\u3082\u306e\u3067\u3042\u308b\uff0e\u30b4\u30ad\u30d6\u30ea\u3092\u5229\u7528\u3059\u308b\u7406\u7531\u3068\u3057\u3066\u5b89\u4fa1\u3067\u3042\u308a\uff0c\u751f\u547d\u529b\u304c\u9ad8\u304f\uff0c\u5c0f\u578b\u3067\u3042\u308b\u3053\u3068\u304b\u3089\u81ea\u8eab\u3067\u5012\u58ca\u3057\u305f\u5efa\u7269\u306e\u4e2d\u304b\u3089\u751f\u5b58\u8005\u3092\u898b\u3064\u3051\u51fa\u3059\u30ed\u30dc\u30c3\u30c8\u3068\u3057\u3066\u306e\u53ef\u80fd\u6027\u3092\u79d8\u3081\u3066\u3044\u308b\u304b\u3089\u3067\u3042\u308b\uff0e\u30b4\u30ad\u30d6\u30ea\u306e\u89e6\u899a\u3068\u5c3e\u89d2\u306b\u5fae\u5f31\u306a\u96fb\u6c17\u3092\u9001\u308b\u3053\u3068\u30671m\u304f\u3089\u3044\u306e\u8ddd\u96e2\u3067\u3042\u308c\u3070\u601d\u3044\u901a\u308a\u306b\u30b4\u30ad\u30d6\u30ea\u3092\u524d\u9032\u3055\u305b\u305f\u308a\u5de6\u53f3\u306b\u66f2\u304c\u3089\u305b\u305f\u308a\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3068\u306a\u3063\u305f\uff0e
\n <\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Real-Time Fusion of Gaze andEMG for a Reaching Neuroprosthesis
\n\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Corbett Elaine, Kording Konrad
\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Neural Interfaces and Regeneration Posters I
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a For rehabilitative devices to restore functional movement to paralyzed individuals, user intent must be determined from signals that remain under voluntary control. Tracking eye movements is a natural way to learn about an intended reach target and, when combined with just a small set of electromyograms (EMGs) in a probabilistic mixture model, can reliably generate accurate trajectories even when the target information is uncertain. To experimentally assess the effectiveness of our algorithm in closed-loop control, we developed a robotic system to simulate a reaching neuroprosthetic. Incorporating target information by tracking subjects\u2019 gaze greatly improved performance when the set of EMGs was most limited. In addition we found that online performance was better than predicted by the offline accuracy of the training data. By enhancing the trajectory model with target information the decoder relied less on neural control signals, reducing the burden on the user.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 
\n\u773c\u7403\u904b\u52d5\u306b\u3088\u308b\u4fe1\u53f7\u3092\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u62bd\u51fa\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u305f\u7814\u7a76\uff0e\u78ba\u7387\u6df7\u5408\u30e2\u30c7\u30eb\u306b\u7b4b\u96fb\u56f3\u306e\u30bb\u30c3\u30c8\u3092\u9069\u7528\u3059\u308b\u3053\u3068\u3067\u3088\u308a\u6b63\u78ba\u306b\u7b4b\u96fb\u60c5\u5831\u3092\u6458\u51fa\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3068\u306a\u3063\u305f\uff0e\u3053\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6709\u52b9\u6027\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u4eba\u5de5\u795e\u7d4c\u30b7\u30b9\u30c6\u30e0\u3092\u69cb\u7bc9\u3057\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u884c\u3063\u305f\uff0e\u305d\u306e\u7d50\u679c\uff0c\u7b4b\u96fb\u60c5\u5831\u304c\u6700\u3082\u5236\u9650\u3055\u308c\u305f\u5834\u5408\u306b\u304a\u3044\u3066\u8a13\u7df4\u30c7\u30fc\u30bf\u306b\u304a\u3051\u308b\u4e88\u6e2c\u3088\u308a\u3082\uff0c\u3088\u308a\u7cbe\u5ea6\u304c\u9ad8\u3044\u3053\u3068\u304c\u660e\u3089\u304b\u3068\u306a\u3063\u305f\uff0e\u5c06\u6765\u7684\u306b\u30bf\u30fc\u30b2\u30c3\u30c8\u60c5\u5831\u304c\u8ecc\u9053\u30e2\u30c7\u30eb\u3092\u5f37\u5316\u3059\u308b\u3053\u3068\u3067\u30e6\u30fc\u30b6\u30fc\u306e\u8ca0\u62c5\u3092\u8efd\u6e1b\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3042\u308b\u3068\u5831\u544a\u3057\u3066\u3044\u308b\uff0e
\n <\/p>\n\n\n\n
\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Functional Connectivity Analysis of Cortical Networks inFunctional Near Infrared Spectroscopy Using Phase Synchronization
\n\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Molavi Behnam, Gervain Judit, Dumont Guy
\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Coherence, Causality and Connectivity
\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aFunctional Near Infrared Spectroscopy (fNIRS) is a non-invasive functional neuroimaging method used for studying brain activity using blood oxygen level dependent (BOLD) signal. We use phase synchronization between fNIRS channels to detect functional connections between brain regions in a speech study. Data is collected from 22 neonates whose brain activity was monitored by fNIRS while being exposed to two different types of auditory stimuli. The wavelet based phase locking analysis reveals functional connections between temporal regions and most other regions in general and frontal areas in particular.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 
\nNIRS\u8a08\u6e2c\u3067\u5f97\u3089\u308c\u305f\u8133\u8840\u6d41\u5909\u5316\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u5468\u6ce2\u6570\u89e3\u6790\u3092\u884c\u3044\uff0c\u6642\u9593\uff0d\u5468\u6ce2\u6570\u8ef8\u3067\u89e3\u6790\u3092\u884c\u3063\u305f\u7814\u7a76\uff0e\u523a\u6fc0\u3068\u3057\u3066\u8074\u899a\u523a\u6fc0\u3092\u63d0\u793a\u3057NIRS\u306e\u30c1\u30e3\u30f3\u30cd\u30eb\u306f\u4e21\u5074\u982d\u90e8\u306b\u8a2d\u7f6e\u3057\u3066\u3044\u308b\uff0e\u88ab\u9a13\u8005\u306f\u751f\u5f8c3\u65e5\u7a0b\u5ea6\u306e\u65b0\u751f\u515022\u540d\u3067\u3042\u308b\uff0e\u9178\u7d20\u5316\u30d8\u30e2\u30b0\u30ed\u30d3\u30f3\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u5468\u6ce2\u6570\u89e3\u6790\u3092\u884c\u3044\uff0c\u305d\u306e\u5f8c\u30a6\u30a7\u30fc\u30d6\u30ec\u30c3\u30c8\u89e3\u6790\u3092\u9069\u7528\u3057\u305f\u7814\u7a76\u3067\u3042\u308b\uff0e\u5074\u982d\u90e8\u524d\u65b9\u306b\u304a\u3044\u3066\u8074\u899a\u523a\u6fc0\u306b\u5bfe\u3059\u308b\u6642\u9593\u5fdc\u7b54\u306e\u6a5f\u80fd\u7684\u7d50\u5408\u304c\u898b\u53d7\u3051\u3089\u308c\u305f\u3068\u5831\u544a\u3057\u3066\u3044\u308b\uff0ePLV\u3068\u3044\u3046\u306e\u3092\u8aac\u660e\u3057\u3066\u3082\u3089\u3063\u305f\u304c\u3088\u304f\u308f\u304b\u3089\u306a\u304b\u3063\u305f\uff0e
\n 
\n\u53c2\u8003\u6587\u732e
\n1)\u00a0\u00a0\u00a0 EMBC\u3000Program,
\nhttp:\/\/embs.papercept.net\/conferences\/conferences\/EMBC12\/program\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

San Diego\/USA\u3067\u958b\u50ac\u3055\u308c\u305fIEEE EMBC\u306b\u3066\u4e0b\u8a18\u306e\uff14\u540d\u304c\u767a\u8868\u3057\u307e\u3057\u305f\u3002 \uff11\uff09\u3000Differences in Blood Flow between Auditory and Visual Stimuli i … <\/p>\n

“\u3010\u901f\u5831\u3011IEEE EMBC” \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10,3],"tags":[],"class_list":["post-1075","post","type-post","status-publish","format-standard","hentry","category-10","category-3"],"_links":{"self":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts\/1075","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1075"}],"version-history":[{"count":0,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts\/1075\/revisions"}],"wp:attachment":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1075"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1075"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1075"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}