{"id":1092,"date":"2023-03-24T10:00:05","date_gmt":"2023-03-24T09:00:05","guid":{"rendered":"https:\/\/cbpr.center\/?post_type=research-library&#038;p=1092"},"modified":"2023-12-07T16:31:12","modified_gmt":"2023-12-07T15:31:12","slug":"offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control","status":"publish","type":"research-library","link":"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/","title":{"rendered":"Offline Accuracy: A Potentially Misleading Metric in Myoelectric Pattern Recognition for Prosthetic Control"},"content":{"rendered":"Offline accuracy has been the preferred performance measure in myoelectric pattern recognition (MPR) for the prediction of motion volition. In this study, different metrics relating the fundamental binary prediction outcomes were analyzed. Our results indicate that global accuracy is biased by 1) the unbalanced number of possible true positive and negative outcomes, and 2) the almost perfect specificity and negative predicted value, which were consistently found across\r\nalgorithms, topologies, and movements (individual and simultaneous). Therefore, class-specific accuracy is advisable\r\ninstead. Additionally, we propose the use of precision (positive predictive value) and sensitivity (recall) as a complement to accuracy to better describe the discrimination capabilities of MPR algorithms, as these consider the effect of false predictions. However, all the studied offline metrics failed to predict real-time decoding, and therefore real-time testing continue to be necessary to truly evaluate the clinical usability of MPR.","protected":false},"parent":0,"template":"","class_list":["post-1092","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>Offline Accuracy: A Potentially Misleading Metric in Myoelectric Pattern Recognition for Prosthetic Control - 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\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Offline Accuracy: A Potentially Misleading Metric in Myoelectric Pattern Recognition for Prosthetic Control - Center for Bionics and Pain Research\" \/>\n<meta property=\"og:description\" content=\"Offline accuracy has been the preferred performance measure in myoelectric pattern recognition (MPR) for the prediction of motion volition. In this study, different metrics relating the fundamental binary prediction outcomes were analyzed. Our results indicate that global accuracy is biased by 1) the unbalanced number of possible true positive and negative outcomes, and 2) the &hellip; Fortsatt\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/\" \/>\n<meta property=\"og:site_name\" content=\"Center for Bionics and Pain Research\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/CBPR.se\" \/>\n<meta property=\"article:modified_time\" content=\"2023-12-07T15:31:12+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@CBPRse\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/\",\"url\":\"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/\",\"name\":\"Offline Accuracy: A Potentially Misleading Metric in Myoelectric Pattern Recognition for Prosthetic Control - Center for Bionics and Pain Research\",\"isPartOf\":{\"@id\":\"https:\/\/cbpr.center\/sv\/#website\"},\"datePublished\":\"2023-03-24T09:00:05+00:00\",\"dateModified\":\"2023-12-07T15:31:12+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/#breadcrumb\"},\"inLanguage\":\"sv-SE\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/cbpr.center\/sv\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Forskning\",\"item\":\"https:\/\/cbpr.center\/sv\/research-library\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Offline Accuracy: A Potentially Misleading Metric in Myoelectric Pattern Recognition for Prosthetic Control\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/cbpr.center\/sv\/#website\",\"url\":\"https:\/\/cbpr.center\/sv\/\",\"name\":\"Center for Bionics and Pain Research\",\"description\":\"Technologies that alleviate disability and pain\",\"publisher\":{\"@id\":\"https:\/\/cbpr.center\/sv\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/cbpr.center\/sv\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"sv-SE\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/cbpr.center\/sv\/#organization\",\"name\":\"Center for Bionics and Pain Research\",\"url\":\"https:\/\/cbpr.center\/sv\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"sv-SE\",\"@id\":\"https:\/\/cbpr.center\/sv\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/i0.wp.com\/cbpr.center\/app\/uploads\/2022\/11\/CBPR_Logo_brighter_blue.png?fit=2000%2C678&ssl=1\",\"contentUrl\":\"https:\/\/i0.wp.com\/cbpr.center\/app\/uploads\/2022\/11\/CBPR_Logo_brighter_blue.png?fit=2000%2C678&ssl=1\",\"width\":2000,\"height\":678,\"caption\":\"Center for Bionics and Pain Research\"},\"image\":{\"@id\":\"https:\/\/cbpr.center\/sv\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.instagram.com\/cbpr.se\",\"https:\/\/www.linkedin.com\/company\/cbprse\",\"https:\/\/www.tiktok.com\/@cbpr.se\",\"https:\/\/www.facebook.com\/CBPR.se\",\"https:\/\/twitter.com\/CBPRse\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Offline Accuracy: A Potentially Misleading Metric in Myoelectric Pattern Recognition for Prosthetic Control - Center for Bionics and Pain Research","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/","og_locale":"sv_SE","og_type":"article","og_title":"Offline Accuracy: A Potentially Misleading Metric in Myoelectric Pattern Recognition for Prosthetic Control - Center for Bionics and Pain Research","og_description":"Offline accuracy has been the preferred performance measure in myoelectric pattern recognition (MPR) for the prediction of motion volition. In this study, different metrics relating the fundamental binary prediction outcomes were analyzed. Our results indicate that global accuracy is biased by 1) the unbalanced number of possible true positive and negative outcomes, and 2) the &hellip; Fortsatt","og_url":"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/","og_site_name":"Center for Bionics and Pain Research","article_publisher":"https:\/\/www.facebook.com\/CBPR.se","article_modified_time":"2023-12-07T15:31:12+00:00","twitter_card":"summary_large_image","twitter_site":"@CBPRse","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/","url":"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/","name":"Offline Accuracy: A Potentially Misleading Metric in Myoelectric Pattern Recognition for Prosthetic Control - Center for Bionics and Pain Research","isPartOf":{"@id":"https:\/\/cbpr.center\/sv\/#website"},"datePublished":"2023-03-24T09:00:05+00:00","dateModified":"2023-12-07T15:31:12+00:00","breadcrumb":{"@id":"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/#breadcrumb"},"inLanguage":"sv-SE","potentialAction":[{"@type":"ReadAction","target":["https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/cbpr.center\/sv\/research-library\/offline-accuracy-a-potentially-misleading-metric-in-myoelectric-pattern-recognition-for-prosthetic-control\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/cbpr.center\/sv\/"},{"@type":"ListItem","position":2,"name":"Forskning","item":"https:\/\/cbpr.center\/sv\/research-library\/"},{"@type":"ListItem","position":3,"name":"Offline Accuracy: A Potentially Misleading Metric in Myoelectric Pattern Recognition for Prosthetic Control"}]},{"@type":"WebSite","@id":"https:\/\/cbpr.center\/sv\/#website","url":"https:\/\/cbpr.center\/sv\/","name":"Center for Bionics and Pain Research","description":"Technologies that alleviate disability and pain","publisher":{"@id":"https:\/\/cbpr.center\/sv\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/cbpr.center\/sv\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"sv-SE"},{"@type":"Organization","@id":"https:\/\/cbpr.center\/sv\/#organization","name":"Center for Bionics and Pain Research","url":"https:\/\/cbpr.center\/sv\/","logo":{"@type":"ImageObject","inLanguage":"sv-SE","@id":"https:\/\/cbpr.center\/sv\/#\/schema\/logo\/image\/","url":"https:\/\/i0.wp.com\/cbpr.center\/app\/uploads\/2022\/11\/CBPR_Logo_brighter_blue.png?fit=2000%2C678&ssl=1","contentUrl":"https:\/\/i0.wp.com\/cbpr.center\/app\/uploads\/2022\/11\/CBPR_Logo_brighter_blue.png?fit=2000%2C678&ssl=1","width":2000,"height":678,"caption":"Center for Bionics and Pain Research"},"image":{"@id":"https:\/\/cbpr.center\/sv\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.instagram.com\/cbpr.se","https:\/\/www.linkedin.com\/company\/cbprse","https:\/\/www.tiktok.com\/@cbpr.se","https:\/\/www.facebook.com\/CBPR.se","https:\/\/twitter.com\/CBPRse"]}]}},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/cbpr.center\/sv\/wp-json\/wp\/v2\/research-library\/1092","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cbpr.center\/sv\/wp-json\/wp\/v2\/research-library"}],"about":[{"href":"https:\/\/cbpr.center\/sv\/wp-json\/wp\/v2\/types\/research-library"}],"wp:attachment":[{"href":"https:\/\/cbpr.center\/sv\/wp-json\/wp\/v2\/media?parent=1092"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}