{"id":2985,"date":"2015-08-29T13:53:11","date_gmt":"2015-08-29T04:53:11","guid":{"rendered":"http:\/\/www.is.doshisha.ac.jp\/news\/?p=2985"},"modified":"2015-08-29T13:53:11","modified_gmt":"2015-08-29T04:53:11","slug":"embc2015","status":"publish","type":"post","link":"https:\/\/is.doshisha.ac.jp\/news\/?p=2985","title":{"rendered":"EMBC2015"},"content":{"rendered":"<div>2015\u5e748\u670825\u65e5~29\u65e5\u306b\u304b\u3051\u3066\uff0c\u30a4\u30bf\u30ea\u30a2\u306eMiCo &#8211; Milano Congressi\u306b\u3066\u958b\u50ac\u3055\u308c\u305fEMBC2015\u306b\u53c2\u52a0\u81f4\u3057\u307e<wbr \/>\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\uff0c\u5ee3\u5b89\u5148\u751f\uff0c\u6797\u6cbc\u52dd\u5229\uff08M2\uff09\uff0c\u6751\u4e0a\u6676\u7a42\uff08<wbr \/>M1\uff09\uff0c\u7530\u4e2d\u90a3\u667a\uff08M1\uff09\u306e4\u540d\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c<wbr \/>\u6a2a\u5185\u5148\u751f\uff0c\u798f\u5cf6\u4e9c\u68a8\u82b1\u3055\u3093\uff08MISL5\u671f\u751f\uff09\u3082\u53c2\u52a0\u3055\u308c\uff0c<wbr \/>\u306b\u304e\u3084\u304b\u306a\u5b66\u4f1a\u3068\u306a\u308a\u307e\u3057\u305f\uff0e\u767a\u8868\u5f62\u5f0f\u306f\u6797\u6cbc\uff0c<wbr \/>\u6751\u4e0a\u306f\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u3067\uff0c\u7530\u4e2d\u306f\u53e3\u982d\u767a\u8868\u3067\u3057\u305f\uff0e<wbr \/>\u767a\u8868\u984c\u76ee\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\uff0e<\/div>\n<div><\/div>\n<div>\u300cPreprocessing with Image Denoising and Histogram Equalization for Endoscopy Image Analysis using Texture Analysis\u300d\u6797\u6cbc\u52dd\u5229<\/div>\n<div>\u300cBrain Activities during Synchronized Tapping Task\u300d\u6751\u4e0a\u6676\u7a42<\/div>\n<div>\u300cEmphasizing Mesenteric Blood Vessels in Laparoscopic Colon Cancer Surgery Video Images\u300d\u7530\u4e2d\u90a3\u667a<\/div>\n<div><\/div>\n<div>\u7121\u4e8b\u306b3\u540d\u3068\u3082\u767a\u8868\u3092\u7d42\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\uff0e<wbr \/>\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u3067\u306f\u591a\u304f\u306e\u4eba\u306b\u8cea\u554f\u3055\u308c\u3066\u304a\u308a\uff0c<wbr \/>\u53e3\u982d\u767a\u8868\u3067\u3082\u591a\u304f\u306e\u4eba\u304c\u767a\u8868\u3092\u805e\u304d\u306b\u6765\u3066\u304f\u3060\u3055\u3063\u305f\u305f\u3081\uff0c<wbr \/>\u975e\u5e38\u306b\u6709\u610f\u7fa9\u306a\u5b66\u4f1a\u3068\u306a\u308a\u307e\u3057\u305f\uff0e\u9802\u3044\u305f\u8cea\u554f\u3084\u610f\u898b\uff0c<wbr \/>\u8074\u8b1b\u3057\u305f\u767a\u8868\u304b\u3089\u5f97\u3089\u308c\u305f\u60c5\u5831\u306f\u4eca\u5f8c\u306e\u7814\u7a76\u6d3b\u52d5\u306b\u6d3b\u304b\u3057\u3066\u53c2\u308a\u307e<wbr \/>\u3059\uff0e\u30a4\u30bf\u30ea\u30a2\u3067\u306f\u6cbb\u5b89\u306b\u95a2\u3057\u3066\u4e0d\u5b89\u3082\u3042\u308a\u307e\u3057\u305f\u304c\uff0c<wbr \/>\u6700\u5f8c\u307e\u3067\u5927\u304d\u306a\u30c8\u30e9\u30d6\u30eb\u3082\u306a\u304f\u6ede\u5728\uff0c\u89b3\u5149\u3082\u3067\u304d\u307e\u3057\u305f\uff0e<\/div>\n<div><\/div>\n<div>\u5b66\u4f1a\u53c2\u52a0\u306b\u3042\u305f\u308a\uff0c\u3054\u6307\u5c0e\u304f\u3060\u3055\u3063\u305f\u5148\u751f\u65b9\uff0c<wbr \/>\u307e\u305f\u30ea\u30cf\u30fc\u30b5\u30eb\u306b\u53c2\u52a0\u3057\u3066\u8cea\u554f\u3084\u610f\u898b\u3092\u304f\u3060\u3055\u3063\u305f\u7814\u7a76\u73ed\u3084\u7814\u7a76\u5ba4<wbr \/>\u306e\u7686\u69d8\u672c\u5f53\u306b\u3042\u308a\u304c\u3068\u3046\u3054\u3056\u3044\u307e\u3057\u305f\uff0e\u4eca\u5f8c\u3068\u3082\u3054\u6307\u5c0e\uff0c<wbr \/>\u3054\u97ad\u64bb\u306e\u7a0b\u5b9c\u3057\u304f\u304a\u9858\u3044\u81f4\u3057\u307e\u3059\uff0e<\/div>\n<div><\/div>\n<div><\/div>\n<div><a href=\"http:\/\/www.is.doshisha.ac.jp\/news\/wp-content\/uploads\/2015\/09\/DSC00788.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2986\" src=\"http:\/\/www.is.doshisha.ac.jp\/news\/wp-content\/uploads\/2015\/09\/DSC00788-300x225.jpg\" alt=\"DSC00788\" width=\"300\" height=\"225\" \/><\/a><a href=\"http:\/\/www.is.doshisha.ac.jp\/news\/wp-content\/uploads\/2015\/08\/DSC00785a.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-3045\" src=\"http:\/\/www.is.doshisha.ac.jp\/news\/wp-content\/uploads\/2015\/08\/DSC00785a-300x221.jpg\" alt=\"DSC00785a\" width=\"305\" height=\"225\" \/><\/a><a href=\"http:\/\/www.is.doshisha.ac.jp\/news\/wp-content\/uploads\/2015\/09\/IMG_3937.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-3046\" src=\"http:\/\/www.is.doshisha.ac.jp\/news\/wp-content\/uploads\/2015\/08\/0008_original-300x200.jpg\" alt=\"0008_original\" width=\"300\" height=\"200\" \/><\/a><\/div>\n<div><\/div>\n<div><\/div>\n<div>\u3010\u6587\u8cac\uff1aM1\u7530\u4e2d\u90a3\u667a\u3011<\/div>\n<div><\/div>\n<p><!--more--><br \/>\n<strong>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"147\"><strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/td>\n<td width=\"373\">\u7530\u4e2d\u90a3\u667a<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">\u5927\u8178\u8179\u8154\u93e1\u52d5\u753b\u50cf\u306b\u304a\u3051\u308b\u8178\u9593\u819c\u5185\u8d70\u884c\u8840\u7ba1\u306e\u5f37\u8abf<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">Emphasizing Mesenteric Blood Vessels in Laparoscopic Colon Cancer Surgery Video Images<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8457\u8005<\/strong><\/td>\n<td width=\"373\">\u5ee3\u5b89\u77e5\u4e4b, \u7530\u4e2d\u90a3\u667a\uff0c\u8429\u539f\u660e\u65bc\uff0c\u5c0f\u5ea7\u672c\u96c4\u8ecc\uff0c\u6a2a\u5185\u4e45\u731b<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4e3b\u50ac<\/strong><\/td>\n<td width=\"373\">IEEE Engineering in Medicine &amp; Biology Society (EMBS)<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8b1b\u6f14\u4f1a\u540d<\/strong><\/td>\n<td width=\"373\">37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE Engineering in Medicine and Biology Society<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4f1a\u5834<\/strong><\/td>\n<td width=\"373\">MiCo &#8211; Milano Congressi<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u958b\u50ac\u65e5\u7a0b<\/strong><\/td>\n<td width=\"373\">2015\/08\/25-2015\/08\/29<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<br \/>\n&nbsp;<\/p>\n<ol>\n<li>\u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<\/li>\n<\/ol>\n<p>2015\/08\/25\u304b\u30892015\/08\/29\u306b\u304b\u3051\u3066\uff0c\u30a4\u30bf\u30ea\u30a2\u306e\u30df\u30e9\u30ce\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305f37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE Engineering in Medicine and Biology Society\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u3053\u306e\u5b66\u4f1a\u306f\uff0cIEEE Engineering in Medicine &amp; Biology Society (EMBS)\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3055\u308c\uff0c\u5065\u5eb7\u7ba1\u7406\u306e\u5411\u4e0a\u3068\u6280\u8853\u9769\u65b0\u306b\u304a\u3051\u308b\u533b\u5de5\u5b66\u306e\u4e2d\u5fc3\u7684\u5f79\u5272\u3060\u3051\u3067\u306a\u304f\uff0c\u5065\u5eb7\u3092\u7dad\u6301\u3059\u308b\u65b9\u6cd5\u306b\u30c6\u30fc\u30de\u306e\u7126\u70b9\u3092\u5f53\u3066\u3066\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\uff0e<br \/>\n\u79c1\u306f26\uff0c27, 28\u65e5\u306e\u307f\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u6797\u6cbc\u3055\u3093\uff0c\u6751\u4e0a\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\uff0cMISL\u306e\u5352\u696d\u751f\u3067\u3042\u308b5\u671f\u751f\u306e\u798f\u5cf6\u3055\u3093\u304c\u53c2\u52a0\u3055\u308c\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<ol start=\"2\">\n<li>\u7814\u7a76\u767a\u8868\n<ul>\n<li>\u767a\u8868\u6982\u8981<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>\u79c1\u306f26\u65e5\u306e\u5348\u5f8c\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300cImage Segmentation\u300d\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u53e3\u982d\u767a\u8868\u3067\uff0c12\u5206\u306e\u8b1b\u6f14\u6642\u9593\u30683\u5206\u306e\u8cea\u7591\u5fdc\u7b54\u6642\u9593\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e<br \/>\n\u4eca\u56de\u306e\u767a\u8868\u306f\uff0cEmphasizing Mesenteric Blood vessels in Laparoscopic Colon Cancer Surgery Video Images\u3067\uff0c\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">This study aims to reduce surgeon burden by emphasizing mesenteric blood vessels buried in the mesentery\u3000using image processing techniques. We have developed an image processing system that can be connected to a laparoscope. The first step of the method is superficial vessel deletion using an opening process. Next, the mesenteric blood vessels are extracted by multiple regression analysis using hue, saturation, and value color space information in the image. Finally, the mphasized regions are determined by areas obtained by a labeling process. Although examples with both true and false positives are observed, the proposed technique demonstrates sufficient accuracy.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<ul>\n<li>\u8cea\u7591\u5fdc\u7b54<\/li>\n<\/ul>\n<p>\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<br \/>\n&nbsp;<br \/>\n<strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>1<\/strong><br \/>\n\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u308b\u4e8b\u304c\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\uff0e\u8cea\u554f\u5185\u5bb9\u306f\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u51e6\u7406\u3067\u304d\u308b\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\uff0c\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u51e6\u7406\u306f\u53ef\u80fd\u3067\u3042\u308b\u304c\uff0c\u5b9f\u969b\u306f\uff12fps\u7a0b\u5ea6\u3067\u3042\u308b\u306e\u3067\uff0c\u6539\u5584\u306e\u5fc5\u8981\u304c\u3042\u308b\u3068\u89e3\u7b54\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n<strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>2<\/strong><br \/>\n\u8cea\u554f\u8005\u306f\u79c1\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u306echair\u3067\u3042\u3063\u305f\uff0cDr\uff0eKrishnan Karthik\u3067\u3057\u305f\uff0e\u8cea\u554f\u5185\u7528\u306f\uff0c\u305d\u308c\u305e\u308c\u306e\u30d5\u30ec\u30fc\u30e0\u306b\u304a\u3044\u3066\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3057\u3066\u3044\u308b\u306e\u304b\u3068\u3044\u3046\u8cea\u554f\u3067\u3057\u305f\u304c\uff0c\u3046\u307e\u304f\u8cea\u554f\u3092\u6349\u3048\u308b\u4e8b\u304c\u3067\u304d\u305a\uff0c\u89e3\u7b54\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\uff0e<br \/>\n<strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>3<\/strong><br \/>\n\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u308b\u4e8b\u304c\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\uff0e\u5f37\u8abf\u9818\u57df\u306e\u9078\u5225\u3092\u884c\u3046\u305f\u3081\u306e\u9762\u7a4d\u306e\u95be\u5024\u3092\u56fa\u5b9a\u3057\u3066\u3057\u307e\u3063\u3066\u3044\u308b\u306e\u304c\u554f\u984c\u3067\u306f\u306a\u3044\u306e\u304b\u3068\u3044\u3046\u8cea\u554f\u3092\u53d7\u3051\u307e\u3057\u305f\u304c\uff0c\u3053\u3061\u3089\u3082\u3046\u307e\u304f\u8cea\u554f\u5185\u5bb9\u3092\u3068\u3048\u3089\u3048\u3089\u308c\u305a\uff0c\u89e3\u7b54\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\uff0e<\/p>\n<ul>\n<li>\u611f\u60f3<\/li>\n<\/ul>\n<p>\u5ee3\u5b89\u6559\u6388\u3084\uff0c\u5143\u540c\u5fd7\u793e\u5927\u5b66\u6559\u6388\u306e\u6a2a\u5185\u6c0f\u306f\u826f\u304b\u3063\u305f\u3068\u307b\u3081\u3066\u304f\u3060\u3055\u3044\u307e\u3057\u305f\u304c\uff0c\u81ea\u5206\u3068\u3057\u3066\u306f\u6094\u3057\u3055\u306e\u6b8b\u308b\u767a\u8868\u3067\u3057\u305f\uff0e\u767a\u8868\u304c\u304b\u306a\u308a\u65e9\u304f\u9032\u3093\u3067\u3057\u307e\u3044\uff0c\u305d\u308c\u3092\u57cb\u3081\u3042\u308f\u305b\u3088\u3046\u3068\u3057\u3066\uff0c\u7d50\u679c\uff0c\u6700\u5f8c\u306e\uff13\u5206\u307b\u3069\u306f\u3064\u307e\u308a\u306a\u304c\u3089\u306e\u767a\u8868\u306b\u306a\u3063\u3066\u3057\u307e\u3063\u305f\u4e8b\uff0c\u3055\u3089\u306b\u305d\u308c\u306b\u7126\u308a\uff0c\u8cea\u554f\u3082\u7b54\u3048\u3089\u308c\u308b\u3088\u3046\u306a\u8cea\u554f\u3092\u805e\u304d\u53d6\u308c\u306a\u304b\u3063\u305f\u308a\uff0c\u7b54\u3048\u3089\u308c\u306a\u304b\u3063\u305f\u308a\u3057\u307e\u3057\u305f\uff0e\u3057\u304b\u3057\uff0c\u9014\u4e2d\u307e\u3067\u306e\u767a\u8868\u306f\u7df4\u7fd2\u901a\u308a\u306b\u30b9\u30e0\u30fc\u30ba\u306b\u9032\u3081\u308b\u4e8b\u304c\u3067\u304d\u305f\u3053\u3068\u3084\uff0c\u81ea\u5206\u306f\u30e9\u30a4\u30c8\u30a2\u30c3\u30d7\u3055\u308c\u3066\uff0c\u30b9\u30af\u30ea\u30fc\u30f3\u306e\u4f4d\u7f6e\u304c\u9ad8\u3044\u306a\u3069\uff0c\u4eca\u307e\u3067\u306b\u306a\u3044\u5927\u821e\u53f0\u306e\u3088\u3046\u306a\u7dca\u5f35\u611f\u306e\u3042\u308b\u30b9\u30c6\u30fc\u30b8\u3067\u306e\u767a\u8868\u306f\u975e\u5e38\u306b\u826f\u3044\u7d4c\u9a13\u306b\u306a\u308a\u307e\u3057\u305f\uff0e\u5185\u5bb9\u306b\u95a2\u3057\u3066\u3082\uff0c\u8a02\u6b63\u3059\u308b\u3079\u304d\u3068\u3053\u308d\u306f\u3042\u3063\u305f\u3082\u306e\u306e\uff0c\u826f\u3044\u7d50\u679c\u3092\u826f\u3044\u898b\u305b\u65b9\u3067\u793a\u3059\u4e8b\u304c\u3067\u304d\u305f\u3068\u601d\u3046\u306e\u3067\uff0c\u6b21\u56de\u306b\u6d3b\u304b\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\uff0e<br \/>\n&nbsp;<\/p>\n<ol start=\"3\">\n<li>\u8074\u8b1b<\/li>\n<\/ol>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e2\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000DEVELOPMENT OF 2D+T TRACKING ALGORITHM IN ULTRASOUND IMAGES FOR RADIOTHERAPY\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Abdouni, Abdenaceur ;\u00a0\u00a0 Presles, Beno\u00eet ;\u00a0\u00a0 Fargier-Voiron, Marie ;\u00a0\u00a0 Rit, Simon ;\u00a0\u00a0 Sarrut, David\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Deformable image registartionAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a The aim of this study is to develop and validate a deformable tracking algorithm for monitoring the motion of the target volume on 2D ultrasound (US) images during a radiotherapy fraction. The proposed method is applied on images acquired with a transperineal ultrasound (TP-US) probe on 31 treatment patient\u2019s sessions, treated with a prostate or after a surgery, called a prostatectomy. The developed algorithm is based on Speeded-Up Robust Features (SURF) to find and match the corresponding salient points in the reference and moving images, and Thin Plate Spline (TPS) to warp the image. The results are promising and show that the proposed algorithm performs well with either artificial transforms, or in comparison with a rigid intensity based algorithm used in clinic.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8d85\u97f3\u6ce2\u753b\u50cf\u306b\u304a\u3051\u308b\u753b\u50cf\u51e6\u7406\u306f\u591a\u304f\u884c\u308f\u308c\u3066\u3044\u308b\u304c\uff0c\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u53ef\u52d5\u306a\u524d\u7acb\u817a\u306e\u52d5\u304d\u3092\u8ffd\u8de1\u3059\u308b\u3068\u3044\u3046\u3082\u306e\u3067\u3042\u3063\u305f\uff0e\u3053\u306e\u624b\u6cd5\u3067\u306f\u79c1\u304c\u6700\u8fd1\u6ce8\u76ee\u3057\u3066\u3044\u308b\uff0cSURF\u304c\u4f7f\u308f\u308c\u3066\u304a\u308a\uff0c\u307e\u305f\uff0c\u7d50\u679c\u306e\u7cbe\u5ea6\u3082\u9ad8\u304b\u3063\u305f\u305f\u3081\uff0c\u975e\u5e38\u306b\u8208\u5473\u6df1\u3044\u767a\u8868\u3067\u3042\u3063\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aElectroencephalogram Measurement from the Hairy Part of the Scalp using Polymer-Based Dry Microneedle Electrodes\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Arai, Miyako ; Kudo, Yuta ; Miki, Norihisa\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Biolelectric sensors and sensor systemsAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a This paper reports a successful electroencephalogram (EEG) measurement from the hairy part of the scalp using a polymer-based dry microneedle electrode. The electrode consists of 25 pillars, each of which has a sharp microneedle on the top. Hairs are collected into the gaps of the pillars and the microneedles can reach the scalp surface. Since the microneedles can penetrate through the stratum corneum, no conductive gel is necessary to acquire high quality EEG. We experimentally investigated the pillar diameters in EEG measurement from the occipital region with hairs. The fabricated electrodes successfully measured EEG without any skin preparation or conductive gel.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306fEEG\u306e\u96fb\u6975\u306e\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u305f\uff0e\u901a\u5e38\u5fc5\u8981\u306a\u96fb\u6975\u7528\u306e\u30b2\u30eb\u3092\u5fc5\u8981\u3068\u3057\u306a\u3044\u30de\u30a4\u30af\u30ed\u30cb\u30fc\u30c9\u30eb\u306e\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u305f\uff0e\u533b\u7642\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u5ba4\u306b\u304a\u3044\u3066\u3082EEG\u3092\u7528\u3044\u3066\u7814\u7a76\u3057\u3066\u3044\u308b\u304c\uff0cEEG\u306e\u30c7\u30fc\u30bf\u3092\u89e3\u6790\u3057\u3066\u3044\u308b\u306e\u307f\u3067\uff0c\u30cf\u30fc\u30c9\u306a\u958b\u767a\u306f\u884c\u3063\u3066\u3044\u306a\u3044\uff0e\u305d\u3046\u3044\u3063\u305f\u610f\u5473\u3067\uff0c\u79c1\u306e\u77e5\u3089\u306a\u3044\u4e16\u754c\u3092\u898b\u308b\u4e8b\u304c\u3067\u304d\uff0c\u3053\u308c\u306f\u8179\u8154\u93e1\u52d5\u753b\u3092\u7528\u3044\u3066\u3044\u308b\u79c1\u306b\u306f\u8179\u8154\u93e1\u306e\u30cf\u30fc\u30c9\u3068\u3057\u3066\u306e\u958b\u767a\u3082\u591a\u304f\u306e\u4eba\u304c\u958b\u767a\u3057\u3066\u3044\u308b\u306e\u3060\u3068\u611f\u3058\u3089\u308c\uff0c\u9762\u767d\u304f\u3082\u65b0\u9bae\u3067\u3042\u3063\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aSmartphone Measurement of Peripheral Blood Flow\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a McDuff, Daniel Jonathan ; Smith, Ann DeBord ; Vosburgh, Kirby ; Nguyen, Louis\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Cardiovascular assessment and diagnostic technologiesAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Photoplethysmography is a non-invasive method of measuring the blood volume pulse and can be captured using a low-cost camera and ambient light. We present a proof-of-concept smartphone-based system to detect restricted peripheral blood flow in the legs with the aim of characterizing symptoms of Peripheral Artery Disease. We designed a novel interface to quantify the perfusion signal strength. In initial tests we observed differences between affected and non-affected limbs, such a system could simplify diagnosis in patients at risk.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u3067\u64ae\u5f71\u3057\u305f\u52d5\u753b\u3092\u7c21\u6613\u306b\u51e6\u7406\u3057\uff0c\u8840\u6d41\u4fe1\u53f7\u3092\u5b9a\u91cf\u5316\u3057\u672b\u68a2\u52d5\u8108\u75be\u60a3\u306e\u691c\u51fa\u3092\u884c\u3046\u30b7\u30b9\u30c6\u30e0\u3092\u63d0\u6848\u3057\u3066\u3044\u305f\uff0e\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u3067\u30c1\u30a7\u30c3\u30af\u3067\u304d\u308b\u3068\u3044\u3046\u7c21\u4fbf\u3055\u306f\u8208\u5473\u6df1\u304f\uff0c\u7c21\u4fbf\u3055\u3092\u5fc5\u8981\u3068\u3059\u308b\u79c1\u306e\u7814\u7a76\u306b\u5bfe\u3057\u3066\u3082\u523a\u6fc0\u3068\u306a\u3063\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aEvaluating Tortuosity in Retinal Fundus Images of Diabetic Patients Who Progressed to Diabetic Retinopathy\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Leontidis, Georgios ; Wigdahl, Jeffrey ; Al-Diri, Bashir ; Ruggeri, Alfredo ; Hunter, Andrew\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Retinal imagingAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Tortuosity is believed to be an early indicator of the changes in the retinal vasculature during the progression of diabetes. Different methods have been proposed in literature but their application in progressed patients (from diabetes to DR) has been inadequate. In this study different metrics of tortuosity were measured using twenty fives diabetic patients in two time intervals; three to four years before DR and the first year of diabetic retinopathy. The standard deviation of the tortuosity measurements differed significantly showing an increase in the variability of tortuosity in the vasculature in the first year of DR by 19.6%.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\u7db2\u819c\u306e\u8840\u7ba1\u306e\u62bd\u51fa\u3092\u884c\u3063\u3066\u3044\u308b\uff0e\u7db2\u819c\u306e\u8840\u7ba1\u62bd\u51fa\u306f\u79c1\u306e\u7814\u7a76\u306b\u304a\u3044\u3066\u53c2\u8003\u306b\u3057\u3066\u304a\u308a\uff0c\u76ee\u306b\u7559\u307e\u3063\u305f\uff0e\u79c1\u306e\u7814\u7a76\u3067\u306f\uff0c\u30aa\u30fc\u30d7\u30cb\u30f3\u30b0\u51e6\u7406\u3092\u7528\u3044\u3066\u8840\u7ba1\u3092\u62bd\u51fa\uff0c\u524a\u9664\u3057\u3066\u3044\u308b\u304c\uff0c\u73fe\u5728\u306f\u30ac\u30dc\u30fc\u30eb\u30d5\u30a3\u30eb\u30bf\u3092\u7528\u3044\u305f\u624b\u6cd5\u304c\u512a\u79c0\u3067\u5e83\u304f\u7528\u3044\u3089\u308c\u3066\u3044\u308b\u3068\u3044\u3046\u8a71\u3092\u805e\u304f\u4e8b\u304c\u3067\u304d\uff0c\u826f\u3044\u30c7\u30a3\u30b9\u30ab\u30c3\u30b7\u30e7\u30f3\u3068\u306a\u3063\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aAutomatic Segmentation of Corneal Endothelial Cells Contour\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Scarpa, Fabio ; Ruggeri, Alfredo\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Corneal imaging , Image segmentation , Confocal microscopyAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Corneal images acquired by in-vivo microscopy provide clinical information on the cornea endothelium health state. The reliable estimation of the clinical morphometric parameters requires the accurate detection of cell contours in a large number of cells. Thus for the practical application of this analysis in clinical settings an automated method is needed. We propose the automatic segmentation of corneal endothelial cells contour through an innovative technique based on a genetic algorithm. Ground truth values for the clinical parameter were obtained from manually drawn cell contours. For each clinical parameters, the mean difference between its manual estimation and the automated one is always less than 4%, and the maximum difference is always less than 7%.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u533b\u7642\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u5ba4\u306b\u304a\u3044\u3066\u3082\u89d2\u819c\u7d30\u80de\u306e\u8f2a\u90ed\u62bd\u51fa\u3092\u884c\u3063\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\uff0c\u3053\u306e\u767a\u8868\u3067\u306f\u975e\u5e38\u306b\u7cbe\u5ea6\u306e\u9ad8\u3044\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u304c\u306a\u3055\u308c\u3066\u3044\u305f\uff0e\u79c1\u306f\u3053\u306e\u7814\u7a76\u306b\u306f\u95a2\u4e0e\u3057\u3066\u3044\u306a\u3044\u304c\uff0c\u8eab\u8fd1\u306a\u7814\u7a76\u3067\u3042\u308a\uff0c\u79c1\u306e\u7814\u7a76\u5ba4\u5185\u3067\u3084\u3063\u3066\u3044\u308b\u3053\u3068\u3082\uff0c\u4e16\u754c\u306b\u51fa\u308b\u3068\u30ec\u30d9\u30eb\u304c\u9ad8\u304f\uff0c\u66f4\u306a\u308b\u52aa\u529b\u304c\u5fc5\u8981\u306a\u306e\u3060\u3068\uff0c\u6539\u3081\u3066\u611f\u3058\u3055\u305b\u308b\u767a\u8868\u3067\u3042\u3063\u305f\uff0e<br \/>\n&nbsp;<br \/>\n&nbsp;<br \/>\n\u53c2\u8003\u6587\u732e<br \/>\n2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)<br \/>\n&nbsp;<br \/>\n<strong>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"147\"><strong>\u00a0<\/strong><strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/td>\n<td width=\"373\">\u6797\u6cbc\u52dd\u5229<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">\u30c6\u30af\u30b9\u30c1\u30e3\u89e3\u6790\u3092\u7528\u3044\u305f\u5185\u8996\u93e1\u753b\u50cf\u89e3\u6790\u306e\u305f\u3081\u306e\u30ce\u30a4\u30ba\u9664\u53bb\u3068\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u5e73\u6ed1\u5316\u306b\u3088\u308b\u524d\u51e6\u7406<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td width=\"373\">Preprocessing with Image Denoising and Histogram Equalization for Endoscopy Image Analysis Using Texture Analysis<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8457\u8005<\/strong><\/td>\n<td width=\"373\">Tomoyuki Hiroyasu, Katsutoshi Hayashinuma, Hiroshi Ichikawa and Nobuaki Yagi<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4e3b\u50ac<\/strong><\/td>\n<td width=\"373\">IEEE EMBS<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u8b1b\u6f14\u4f1a\u540d<\/strong><\/td>\n<td width=\"373\">37th Annual International Conference of IEEE Engineering in Medicine and Biology Society<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u4f1a\u5834<\/strong><\/td>\n<td width=\"373\">MiCo Milano Congressi<\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><strong>\u958b\u50ac\u65e5\u7a0b<\/strong><\/td>\n<td width=\"373\">2015\/\/08\/25-2015\/08\/29<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<br \/>\n&nbsp;<\/p>\n<ol>\n<li>\u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<\/li>\n<\/ol>\n<p>2015\/08\/25\u304b\u30892015\/08\/29\u306b\u304b\u3051\u3066\uff0c\u30df\u30e9\u30ce\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305fEMBC 2015\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u79c1\u306f8\/26\u304b\u30898\/28\u306b\u304b\u3051\u3066\u53c2\u52a0\u3057\uff0c\u307e\u305f\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0cM1\u306e\u7530\u4e2d\u90a3\u667a\uff0c\u6751\u4e0a\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<ol start=\"2\">\n<li>\u7814\u7a76\u767a\u8868\n<ul>\n<li>\u767a\u8868\u6982\u8981<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>\u79c1\u306f\u300c2.33 Image Classification and Feature Extraction II\u300d\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u306b\u3066\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f90\u5206\u9593\u306e\u8cea\u7591\u5fdc\u7b54\u3067\u3057\u305f\uff0e<br \/>\n\u4eca\u56de\u306e\u767a\u8868\u3067\u306f\uff0c\u30c6\u30af\u30b9\u30c1\u30e3\u89e3\u6790\u3092\u7528\u3044\u3066\u5185\u8996\u93e1\u753b\u50cf\u89e3\u6790\u6642\u306b\u304a\u3051\u308b\u524d\u51e6\u7406\u306e\u691c\u8a0e\u3092\u884c\u3044\u307e\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">A preprocessing method for endoscopy image analysis using texture analysis is proposed. In a previous study, we proposed a feature value that combines a co-occurrence matrix and a run-length matrix to analyze the extent of early gastric cancer from images taken with narrow-band imaging endoscopy. However, the obtained feature value does not identify lesion zones correctly due to the influence of noise and halation. Therefore, we propose a new preprocessing method with a non-local means filter for de-noising and contrast limited adaptive histogram equalization. We have confirmed that the pattern of gastric mucosa in images can be improved by the proposed method. Furthermore, the lesion zone is shown more correctly by the obtained color map.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<ul>\n<li>\u8cea\u7591\u5fdc\u7b54<\/li>\n<\/ul>\n<p>\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<br \/>\n&nbsp;<br \/>\n<strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>1<\/strong><br \/>\n\u540d\u524d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\u304c\uff0c\u300c\u7279\u5fb4\u91cf\u306f\u3069\u306e\u3088\u3046\u306b\u6c42\u3081\u3066\u3044\u308b\u306e\u304b\u300d\u3068\u306e\u8cea\u554f\u3092\u3044\u305f\u3060\u304d\u307e\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u306f\u300c\u540c\u6642\u751f\u8d77\u884c\u5217\u3068\u30e9\u30f3\u30ec\u30f3\u30b0\u30b9\u884c\u5217\u306e2\u3064\u306e\u7279\u5fb4\u91cf\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u3044\u308b\u300d\u3068\u56de\u7b54\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n<strong>\u30fb\u8cea\u554f\u5185\u5bb9<\/strong><strong>2<\/strong><br \/>\n\u3053\u3061\u3089\u3082\u540d\u524d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\u304c\u304c\uff0c\u300c\u8272\u7d20\u5185\u8996\u93e1\u753b\u50cf\u3068\u6bd4\u3079\u3066\u30e1\u30ea\u30c3\u30c8\u306f\u3069\u3053\u306b\u3042\u308b\u306e\u304b\u300d\u3068\u306e\u8cea\u554f\u3092\u3044\u305f\u3060\u304d\u307e\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u306f\u300cNBI\u5185\u8996\u93e1\u306f\u80c3\u7c98\u819c\u306e\u6a21\u69d8\u3084\u8840\u7ba1\u3092\u89b3\u5bdf\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\uff0c\u3088\u308a\u8a73\u7d30\u306b\u75c5\u5909\u7bc4\u56f2\u3092\u8a3a\u65ad\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u300d\u3068\u56de\u7b54\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<ul>\n<li>\u611f\u60f3<\/li>\n<\/ul>\n<p>\u4eca\u56de2\u56de\u76ee\u306e\u56fd\u969b\u5b66\u4f1a\u3068\u3044\u3046\u3053\u3068\u3082\u3042\u308a\uff0c\u524d\u56de\u3088\u308a\u843d\u3061\u7740\u3044\u3066\u767a\u8868\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u305f\u3068\u601d\u3044\u307e\u3059\uff0e\u305f\u3060\uff0c\u30dd\u30b9\u30bf\u30fc\u306e\u914d\u7f6e\u306e\u95a2\u4fc2\u4e0a\uff0c\u96a3\u306e\u4eba\u304c\u8a71\u3057\u3066\u3044\u308b\u3068\u81ea\u5206\u304c\u8aac\u660e\u3067\u304d\u306a\u3044\u3068\u3044\u3046\u3053\u3068\u304c\u3042\u3063\u305f\u305f\u3081\uff0c\u3082\u3063\u3068\u7a4d\u6975\u7684\u306b\u8a71\u3057\u304b\u3051\u308c\u3070\u3088\u304b\u3063\u305f\u306a\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<ol start=\"3\">\n<li>\u8074\u8b1b<\/li>\n<\/ol>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e4\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Transfer Learning for Bag-of-Visual Words Approach to NBI Endoscopic Image Classification\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Sonoyama, Shoji; Hirakawa, Tsubasa; Tamaki, Toru; Kurita, Takio; Raytchev, Bisser; Kaneda, Kazufumi; Koide, Tetsushi; Yoshida, Shigeto;\u00a0\u00a0 Kominami, Yoko; Tanaka, Shinji\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a 2.33 Image Classification and Feature Extraction IIAbstract\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a We address a problem of endoscopic image classification taken by different (e.g., old and new) endoscopies. Our proposed method formulates the problem as a constraint optimization that estimates a linear transformation between feature vectors (or Bag-of-Visual words histograms) in a framework of transfer learning. Experimental results show that the proposed method works much better than the case without feature transformation.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\u5927\u8178NBI\u5185\u8996\u93e1\u753b\u50cf\u306e\u5206\u985e\u6642\u306b\u304a\u3044\u3066\uff0c\u65b0\u65e7\u88c5\u7f6e\u306e\u753b\u50cf\u3092\u7528\u3044\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u8ee2\u79fb\u5b66\u7fd2\u3092\u884c\u3046\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u79c1\u306e\u7814\u7a76\u3067\u3082\u540c\u3058\u88c5\u7f6e\u3092\u7528\u3044\u3066\u3044\u308b\u305f\u3081\uff0c\u4eca\u5f8c\u306e\u7814\u7a76\u306e\u53c2\u8003\u306b\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aImage Segmentation of Pyramid Style Identifier based on Support Vector Machine for Colorectal Endoscopic Images\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aOkamoto, Takumi; Koide, Tetsushi; Sugi, Koki; Shimizu, Tatsuya; Hoang, Anh-Tuan; Tamaki, Toru; Raytchev, Bisser; Kaneda, Kazufumi; Kominami, Yoko; Yoshida, Shigeto; Mieno, Hiroshi; Tanaka, Shinji\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a 2.35 Image Segmentation, Compression and EnhancementAbstract\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a With the increase of colorectal cancer patients in recent years, the needs of quantitative evaluation of colorectal cancer are increased, and the computer-aided diagnosis (CAD) system which supports doctor\u2019s diagnosis is essential. In this paper, a hardware design of type identification module in CAD system for colorectal endoscopic images with narrow band imaging (NBI) magnification is proposed for real-time processing of full high definition image (1920 x 1080 pixel). We propose a 2-step identifier based on SVM to realize a 3-class identification and a pyramid-style bottom-up approach, which can be implemented with small circuit area in FPGA and achieves high throughput and high accuracy, for the actual complex colorectal endoscopic images in real time. A newly proposed pyramid style image segmentation with SVMs for multi-size and multi-layer scan windows enables smaller circuit area in FPGA and higher throughput with higher identification accuracy than the conventional method for actual complex colorectal endoscopic images. The proposed CAD system with the gradation map for the corresponding colorectal endoscopic image is very effective as a diagnostic support system for both non-expert and expert clinical doctors.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306fNBI\u5185\u8996\u93e1\u52d5\u753b\u306b\u304a\u3051\u308b\u5927\u8178\u304c\u3093\u306e\u5206\u985e\u3092\u884c\u3046\u305f\u3081\u306b\u30d4\u30e9\u30df\u30c3\u30c9\u578b\u306e\u7279\u5fb4\u91cf\u691c\u51fa\u624b\u6cd5\u3092\u7528\u3044\u305f\u63d0\u6848\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3057\u305f\uff0e\u308f\u305f\u304f\u3057\u306e\u7814\u7a76\u3067\u3082window\u3092\u64cd\u4f5c\u3057\u305f\u624b\u6cd5\u306e\u63d0\u6848\u3092\u884c\u3063\u3066\u304a\u308a\uff0c\u4eca\u5f8c\u53c2\u8003\u306b\u306a\u308a\u305d\u3046\u306a\u5185\u5bb9\u3067\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aAutomatic Segmentation of Corneal Endothelial Cells Contour\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aScarpa, Fabio; Ruggeri, Alfredo\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a 2.LB1 Biomedical Imaging and Image ProcessingAbstract\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aCorneal images acquired by in-vivo microscopy provide clinical information on the cornea endothelium health state. The reliable estimation of the clinical morphometric parameters requires the accurate detection of cell contours in a large number of cells. Thus for the practical application of this analysis in clinical settings an automated method is needed. We propose the automatic segmentation of corneal endothelial cells contour through an innovative technique based on a genetic algorithm. Ground truth values for the clinical parameter were obtained from manually drawn cell contours. For each clinical parameters, the mean difference between its manual estimation and the automated one is always less than 4%, and the maximum difference is always less than 7%.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306fGA\u3092\u7528\u3044\u3066\u89d2\u819c\u5185\u76ae\u7d30\u80de\u306e\u9818\u57df\u5206\u5272\u3092\u884c\u3046\u624b\u6cd5\u306e\u63d0\u6848\u304c\u884c\u308f\u308c\u3066\u3044\u307e\u3057\u305f\uff0e\u7814\u7a76\u5ba4\u3067\u3082\u540c\u69d8\u306e\u7814\u7a76\u304c\u884c\u308f\u308c\u3066\u304a\u308a\uff0c\u3068\u3066\u3082\u8208\u5473\u6df1\u3044\u5185\u5bb9\u3067\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aTime-Resolved Transmittance Measurement for Biological Tissues with a High Time-Resolution CMOS Lock-In Pixel Imager\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aSobue, Keita; Seo, Min-Woong; Niwayama, Masatsugu; Kagawa, Keiichiro; Yasutomi, Keita; Kawahito, Shoji\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Undergraduate Student PostersAbstract\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aWe have been developed a time-resolved CMOS image sensor with the lock-in pixels. The developed imager achieves a very high time-resolution of 10ps, a short own intrinsic response time of 180ps at 374nm, and a low temporal noise of 1.75e-rms. In this paper, the time-resolved near-infrared spectroscopy(NIRS) measurement with the developed imager is implemented and and described.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306fCMOS\u30bb\u30f3\u30b5\u3092\u7528\u3044\u305fNIRS\u88c5\u7f6e\u306e\u958b\u767a\u306b\u95a2\u3059\u308b\u5185\u5bb9\u3067\u3057\u305f\uff0e\u5f93\u6765\u3088\u308a\u9ad8\u6642\u9593\u5206\u89e3\u80fd\u3067\u89b3\u5bdf\u3067\u304d\u308b\u305d\u3046\u306a\u306e\u3067\uff0c\u4eca\u5f8c\u306eNIRS\u88c5\u7f6e\u306e\u767a\u5c55\u304c\u697d\u3057\u307f\u306b\u306a\u308a\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n\u53c2\u8003\u6587\u732e<\/p>\n<ul>\n<li>EMBC 2015 Conference Proceedings, http:\/\/emb.citengine.com\/event\/embc-2015\/details<\/li>\n<\/ul>\n<p><strong>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td><strong>\u00a0<\/strong><strong>\u5831\u544a\u8005\u6c0f\u540d<\/strong><\/td>\n<td>\u6751\u4e0a\u6676\u7a42<\/td>\n<\/tr>\n<tr>\n<td><strong>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/td>\n<\/tr>\n<tr>\n<td><strong>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/strong><\/td>\n<td>Conference Report<\/td>\n<\/tr>\n<tr>\n<td><strong>\u8457\u8005<\/strong><\/td>\n<td>\u6751\u4e0a\u6676\u7a42\uff0c\u5f8c\u85e4\u771f\u6afb, \u6a2a\u5185\u4e45\u731b, \u5ee3\u5b89\u77e5\u4e4b<\/td>\n<\/tr>\n<tr>\n<td><strong>\u4e3b\u50ac<\/strong><\/td>\n<td>\u533b\u7642\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u5ba4<\/td>\n<\/tr>\n<tr>\n<td><strong>\u8b1b\u6f14\u4f1a\u540d<\/strong><\/td>\n<td>EMBC<\/td>\n<\/tr>\n<tr>\n<td><strong>\u4f1a\u5834<\/strong><\/td>\n<td>Milano Conference Center<\/td>\n<\/tr>\n<tr>\n<td><strong>\u958b\u50ac\u65e5\u7a0b<\/strong><\/td>\n<td>2015\/08\/25-2015\/08\/29<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<ol>\n<li><strong>\u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<\/strong><\/li>\n<\/ol>\n<p>2015\/08\/25\u304b\u30892015\/08\/29\u306b\u304b\u3051\u3066\uff0c\u30a4\u30bf\u30ea\u30a2\u306eMilano Conference Center\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305fEMBC(http:\/\/embc.embs.org\/2015\/)\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u3053\u306eEMBC\u306f\uff0c\u751f\u4f53\u5de5\u5b66\u306b\u95a2\u3059\u308b\u53c2\u52a0\u8005\u306e\u591a\u3044\u5b66\u4f1a\u3067\u3059\uff0e\u79c1\u306f26\uff5e28\u65e5\u306e\u307f\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u6797\u6cbc\uff0c\u7530\u4e2d\u90a3\u667a\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<ol start=\"2\">\n<li><strong>\u7814\u7a76\u767a\u8868<\/strong><\/li>\n<\/ol>\n<ol>\n<ol>\n<li><strong>\u767a\u8868\u6982\u8981<\/strong><\/li>\n<\/ol>\n<\/ol>\n<p>\u79c1\u306f28\u65e5\u306e\u5348\u524d\u306b\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u3057\u307e\u3057\u305f\uff0eSignal Processing in Physiological System\u3068\u3044\u3046\u30bb\u30c3\u30b7\u30e7\u30f3\u3067\uff0c\u767a\u8868\u6642\u9593\u306f90\u5206\u3067\u3057\u305f\uff0e\u4eca\u56de\u306e\u767a\u8868\u306f\uff0cBrain activities during synchronized tapping task\u3068\u3044\u3046\u5185\u5bb9\u3067\u767a\u8868\u3057\u307e\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table>\n<tbody>\n<tr>\n<td>This study aims to investigate how people process information about other people to determine a response during human-to-human cooperative work. As a preliminary study, the mechanism of cooperative work was examined using interaction between a machine and a human. This machine was designed to have an\u201d other person \u201cmodel that simulates an emotional model of another person. The task performed in the experiment was a synchronized tapping task. Two models were prepared for this experiment, a simple model that does not employ the other person model and a synchronized model that employs the other person model. Subjects performed cooperative work with these machines. During the experiment, brain activities were measured using functional near-infrared spectroscopy. It was observed that the left inferior frontal gyrus was activated more with the synchronized model than the simple model.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<br \/>\n&nbsp;<\/p>\n<ol start=\"2\">\n<li><strong>\u8cea\u7591\u5fdc\u7b54<\/strong><\/li>\n<\/ol>\n<p>\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<br \/>\n\u30fb\u3069\u3093\u306a\u7814\u7a76\u3092\u3057\u3066\u3044\u308b\u304b<br \/>\n\u21922\u5206\u304f\u3089\u3044\u3067\u7814\u7a76\u306e\u6982\u8981\u3092\u8a71\u3057\u305f<br \/>\n\u30fb\uff46NIRS\u306b\u3064\u3044\u3066<br \/>\n\u30fb\u4f55\u30c1\u30e3\u30cd\u30eb\u3082\u306e\u3092\u4f7f\u7528\u3057\u305f\u306e\u304b<br \/>\n\u2192100\u4ee5\u4e0a\u306e\u30c1\u30e3\u30cd\u30eb<br \/>\n\u30fb\u3069\u3053\u306e\u88fd\u54c1\u306e\u3082\u306e\u304b<br \/>\n\u2192\u65e5\u7acb\u30e1\u30c7\u30a3\u30b3<br \/>\n\u30fb\u5b9f\u9a13\u3092\u884c\u3046\u969b\u306b\u88ab\u9a13\u8005\u306b\u3069\u306e\u3088\u3046\u306b\u6307\u793a\u3057\u3066\u3044\u308b\u306e\u304b<br \/>\n\u2192\u3000\u805e\u3053\u3048\u3066\u304f\u308b\u97f3\u306b\u5408\u308f\u305b\u308b\u3088\u3046\u306b\u30bf\u30c3\u30d4\u30f3\u30b0\u3092\u3057\u3066\u3082\u3089\u3046\u3088\u3046\u306b\u6307\u793a\u3057\u305f<br \/>\n&nbsp;<\/p>\n<ol start=\"3\">\n<li><strong>\u611f\u60f3<\/strong><\/li>\n<\/ol>\n<p>\u30fb\u521d\u3081\u3066\u306e\u56fd\u969b\u5b66\u4f1a\u3067\u4e0d\u5b89\u304c\u5927\u304d\u304b\u3063\u305f\u3067\u3059\u304c\uff0c\u4e88\u60f3\u4ee5\u4e0a\u306b\u3044\u308d\u3093\u306a\u65b9\u3068\u8b70\u8ad6\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u3066\u826f\u304b\u3063\u305f\u3068\u601d\u3044\u307e\u3059\uff0e\u7814\u7a76\u306e\u6982\u8981\u3092\u307e\u305a\u805e\u304b\u308c\u308b\u3053\u3068\u304c\u591a\u304b\u3063\u305f\u306e\u3067\uff0c\u30ea\u30cf\u30fc\u30b5\u30eb\u3067\u3057\u305f\u3088\u3046\u306a\uff13\u5206\u304f\u3089\u3044\u3067\u81ea\u5206\u306e\u7814\u7a76\u306e\u6982\u8981\u3092\u8a71\u3059\u7df4\u7fd2\u304c\u5f79\u306b\u7acb\u3061\u307e\u3057\u305f\uff0e\u79c1\u306e\u82f1\u8a9e\u529b\u4e0d\u8db3\u3067\uff0c\u76f8\u624b\u306e\u8cea\u554f\u304c\u7406\u89e3\u3067\u304d\u306a\u304b\u3063\u305f\u3053\u3068\u304c\u6b8b\u5ff5\u3067\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<ol start=\"4\">\n<li><strong>\u8074\u8b1b<\/strong><\/li>\n<\/ol>\n<p>\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e4\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<\/p>\n<table>\n<tbody>\n<tr>\n<td>\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Electroencephalogram Measurement from the Hairy Part of the Scalp using Polymer-Based Dry Microneedle Electrodes\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a <a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=16500\">Arai, Miyako<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=16501\">Kudo, Yuta<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14679\">Miki, Norihisa<\/a>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Bioelectric Sensors and Sensor Systems<br \/>\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a This paper reports a successful electroencephalogram (EEG) measurement from the hairy part of the scalp using a polymer-based dry microneedle electrode. The electrode consists of 25 pillars, each of which has a sharp microneedle on the top. Hairs are collected into the gaps of the pillars and the microneedles can reach the scalp surface. Since the microneedles can penetrate through the stratum corneum, no conductive gel is necessary to acquire high quality EEG. We experimentally investigated the pillar diameters in EEG measurement from the occipital region with hairs. The fabricated electrodes successfully measured EEG without any skin preparation or conductive gel.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u30c9\u30e9\u30a4\u306eEEG\u304c\u9aea\u306e\u6bdb\u304c\u591a\u3044\u3068\u3053\u308d\u3060\u3068\u3046\u307e\u304f\u8133\u6ce2\u3092\u8a08\u6e2c\u3067\u304d\u306a\u3044\u3053\u3068\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\uff0c\u30de\u30a4\u30af\u30ed\u30cb\u30fc\u30c9\u30eb\u3092\u7528\u3044\u3066EEG\u306e\u96fb\u6975\u90e8\u5206\u3092\u65b0\u305f\u306b\u958b\u767a\u3057\u305f\u3068\u3044\u3046\u767a\u8868\u3067\u3057\u305f\uff0e\u3053\u306e\u96fb\u6975\u3092\u4f7f\u3046\u3068EEG\u306e\u4f7f\u7528\u6642\u306b\u30b2\u30eb\u3084\u76ae\u819a\u306e\u7814\u78e8\u3092\u3057\u306a\u304f\u3066\u6e08\u3080\u3068\u3053\u308d\u304c\u4fbf\u5229\u3060\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td>\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aBrain-Machine Interfaces for Assistive Smart Homes: A Feasibility Study with Wearable Near-Infrared Spectroscopy\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a <a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14585\">Ogawa, Takeshi<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14586\">Hirayama, Jun-ichiro<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14587\">Pankaj, Gupta<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14588\">Moriya, Hiroki<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14589\">Yamaguchi, Shumpei<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14590\">Ishikawa, Akihiro<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14591\">Inoue, Yoshihiro<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14592\">Kawanabe, Motoaki<\/a>\u00a0;\u00a0\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14593\">Ishii, Shin<\/a>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Brain-Computer\/Machine Interface V<br \/>\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Smart houses for elderly or physically challenged people need a method to understand residents\u2019 intentions during their daily-living behaviors. To explore a new possibility, we here developed a novel brain-machine interface (BMI) system integrated with an experimental smart house, based on a prototype of a wearable near-infrared spectroscopy (NIRS) device, and verified the system in a specific task of controlling of the house\u2019s equipments with BMI. We recorded NIRS signals of three participants during typical daily-living actions (DLAs), and classified them by linear support vector machine. In our off-line analysis, four DLAs were classified at about 70% mean accuracy, significantly above the chance level of 25%, in every participant. In an online demonstration in the real smart house, one participant successfully controlled three target appliances by BMI at 81.3% accuracy. Thus we successfully demonstrated the feasibility of using NIRS-BMI in real smart houses, which will possibly enhance new assistive smart-home technologies.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\uff0c\u65e5\u5e38\u751f\u6d3b\u306e4\u3064\u306e\u884c\u52d5\u3092NIRS\u4fe1\u53f7\u304b\u3089\u7dda\u5f62SVM\u3092\u4f7f\u3063\u3066\u5206\u985e\u3057\uff0c\u7cbe\u5ea6\u304b\u3089\u30b9\u30de\u30fc\u30c8\u30cf\u30a6\u30b9\u306e\u5b9f\u73fe\u53ef\u80fd\u6027\u3092\u78ba\u8a8d\u3055\u308c\u305f\u3068\u3044\u3046\u5185\u5bb9\u3067\u3057\u305f\uff0efNIRS\u88c5\u7f6e\u3092\u4f7f\u3063\u3066\u304a\u308a\uff0c\u51e6\u7406\u306e\u4ed5\u65b9\u3084\u5b9f\u9a13\u8a2d\u8a08\u306e\u7acb\u3066\u65b9\u304c\u8208\u5473\u6df1\u3044\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td>\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aAscending Stair Recognition using Depth Sensing for Improved Intent Recognition of Lower Limb Prostheses\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a <a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=22088\">Krausz, Nili Eliana<\/a>,\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=15139\">Lenzi, Tommaso<\/a>,\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=14602\">Hargrove, Levi<\/a>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Human Machine Interfaces and Robotics Applications<br \/>\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aThe authors propose using vision to improve the performance of powered lower limb prostheses. They present an algorithm that uses depth information (from a Microsoft Kinect sensor) to segment stairs from the environment. This work details testing of the algorithm conducted at twelve different positions in the vicinity of a set of stairs, and summarized results of the segmentation process, and computed resulting distances and intersection angles between the Kinect and the stairs. These measures can provide data about whether the individual is intending to ascend the segmented stairs or not.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u306f\uff0c\u65b0\u3057\u3044\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u3066\uff0c\u30e6\u30fc\u30b6\u30fc\u306e\u610f\u56f3\u3092\u691c\u51fa\u3057\uff0c\u30e6\u30fc\u30b6\u30fc\u3068\u968e\u6bb5\u306e\u8ddd\u96e2\u3084\u89d2\u5ea6\u3092\u8a8d\u8b58\u3059\u308b\u3068\u3044\u3046\u5185\u5bb9\u3067\u3057\u305f\uff0e\u3053\u306e\u30b7\u30b9\u30c6\u30e0\u306f\u30e6\u30fc\u30b6\u30fc\u306e\u610f\u56f3\u3092\u63a8\u5b9a\u3067\u304d\u308b\u3068\u3053\u308d\u304c\u3059\u3054\u3044\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td>\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aBrain Training System using Electroencephalography (EEG) Technology\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a <a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=22219\">Lin, Pei-Jung<\/a>,\u00a0\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=22220\">Chen, Young-Quan<\/a>,\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=22221\">Wu, Jian-He<\/a>,\u00a0<a href=\"http:\/\/emb.citengine.com\/event\/embc-2015\/author?authorID=22222\">Xu, Min-Sheng<\/a>\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a neural and rehabilitation engineering<br \/>\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aThis study used NeuroSky MindWave electroencephalogram (EEG) headset device to detect and record test subjects\u2019 EEGs. Three sets of monitoring and analysis systems were developed to analyze the subject\u2019s mind states. In order to evaluate the relationship between attentiveness and the effectiveness of learning, we developed a brainwave-mind interactive system which can enhance the user\u2019s attentiveness and relaxation through zazen meditation. The relationship between attentiveness and degrees of relaxation was analyzed the data obtained from 50 test subjects.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306fEEG\u3092\u4f7f\u7528\u3057\u3066\uff0c\u88ab\u9a13\u8005\u306e\u6ce8\u610f\u529b\u306e\u691c\u8a0e\u3057\u3066\u3044\u307e\u3057\u305f\uff0e\u7279\u5b9a\u306e\u8133\u6ce2\u306e\u72b6\u614b\u304c\u6ce8\u610f\u529b\u3092\u9ad8\u3081\u308b\u3068\u8a00\u308f\u308c\u3066\u304a\u308a\uff0c\u65b0\u3057\u3044\u5236\u5fa1\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u5b66\u751f\u3088\u308a\u826f\u3044\u52b9\u7387\u3092\u9054\u6210\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u5506\u3055\u308c\u3066\u3044\u307e\u3057\u305f\uff0e\u88ab\u9a13\u8005\u304c50\u540d\u3068\u3044\u3046\u591a\u3055\u3082\u53c2\u8003\u306b\u306a\u308a\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>2015\u5e748\u670825\u65e5~29\u65e5\u306b\u304b\u3051\u3066\uff0c\u30a4\u30bf\u30ea\u30a2\u306eMiCo &#8211; Milano Congressi\u306b\u3066\u958b\u50ac\u3055\u308c\u305fEMBC2015\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\uff0c\u5ee3\u5b89\u5148\u751f\uff0c\u6797\u6cbc\u52dd\u5229\uff08M2\uff09\uff0c\u6751\u4e0a\u6676\u7a42\uff08M1\uff09\uff0c\u7530\u4e2d &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/is.doshisha.ac.jp\/news\/?p=2985\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;EMBC2015&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10,3],"tags":[],"class_list":["post-2985","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\/2985","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\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2985"}],"version-history":[{"count":0,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts\/2985\/revisions"}],"wp:attachment":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2985"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}