{"id":1033,"date":"2023-03-23T11:55:01","date_gmt":"2023-03-23T10:55:01","guid":{"rendered":"https:\/\/cbpr.center\/?post_type=research-library&#038;p=1033"},"modified":"2023-12-07T15:58:39","modified_gmt":"2023-12-07T14:58:39","slug":"classification-complexity-in-myoelectric-pattern-recognition","status":"publish","type":"research-library","link":"https:\/\/cbpr.center\/sv\/research-library\/classification-complexity-in-myoelectric-pattern-recognition\/","title":{"rendered":"Classification complexity in myoelectric pattern recognition"},"content":{"rendered":"Depending on a pre-processing step known as feature extraction, an EMG classifier can have better or worse discrimination capabilities with respect to its classes. We explore what metrics can be used to indicate the effectiveness of different feature extraction strategies. We find that nearest neighbour separability (NNS) and separability index (SI) computed on\u00a0the extracted features correlate strongly to the performance of final classification.","protected":false},"parent":0,"template":"","class_list":["post-1033","research-library","type-research-library","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.14 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Classification complexity in myoelectric pattern recognition - Center for Bionics and Pain Research<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cbpr.center\/sv\/research-library\/classification-complexity-in-myoelectric-pattern-recognition\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Classification complexity in myoelectric pattern recognition - Center for Bionics and Pain Research\" \/>\n<meta property=\"og:description\" content=\"Depending on a pre-processing step known as feature extraction, an EMG classifier can have better or worse discrimination capabilities with respect to its classes. 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