{"id":82065,"date":"2019-01-30T12:17:45","date_gmt":"2019-01-30T17:17:45","guid":{"rendered":"https:\/\/mrnf.gouv.qc.ca\/nos-publications\/classifying-work-rate-heart-rate-measurements\/"},"modified":"2019-01-30T12:17:45","modified_gmt":"2019-01-30T17:17:45","slug":"classifying-work-rate-heart-rate-measurements","status":"publish","type":"cpt_publication","link":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/","title":{"rendered":"Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system"},"content":{"rendered":"\n<p>Published in <b>Applied Ergonomics 54: 158-168 <a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2015.12.006\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/j.apergo.2015.12.006<\/a><\/b><\/p>\n<p>In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) measurements were used to classify work rate into four categories: very light, light, moderate, and heavy. Inter-participant variability (physiological and physical differences) was considered. Twenty-eight participants performed Meyer and Flenghi&#8217;s step-test and a maximal treadmill test, during which heart rate and oxygen consumption (VO<sub>2<\/sub>) were measured. Results indicated that heart rate monitoring (HR, HR<sub>max<\/sub>, and HR<sub>rest<\/sub>) and body weight are significant variables for classifying work rate. The ANFIS classifier showed superior sensitivity, specificity, and accuracy compared to current practice using established work rate categories based on percent heart rate reserve (%HRR). The ANFIS classifier showed an overall 29.6% difference in classification accuracy and a good balance between sensitivity (90.7%) and specificity (95.2%) on average. With its ease of implementation and variable measurement, the ANFIS classifier shows potential for widespread use by practitioners for work rate assessment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Published in Applied Ergonomics 54: 158-168 https:\/\/doi.org\/10.1016\/j.apergo.2015.12.006 In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) measurements were used to classify work rate into four categories: very light, light, moderate, and heavy. Inter-participant variability (physiological and physical differences) was considered. Twenty-eight participants performed Meyer and Flenghi&#8217;s step-test and a [&hellip;]<\/p>\n","protected":false},"template":"","format":"standard","cptt_secteur":[1179],"cptt_theme":[1180,1197,1181],"cptt_categ_publi":[1149],"cptt_auteurs_ministeriels":[1080],"class_list":["post-82065","cpt_publication","type-cpt_publication","status-publish","format-standard","hentry","cptt_secteur-forests","cptt_theme-forestry-research","cptt_theme-forestry-work","cptt_theme-forests","cptt_categ_publi-scientific-article","cptt_auteurs_ministeriels-dubeau-denise"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system - Minist\u00e8re des Ressources naturelles et des For\u00eats<\/title>\n<meta name=\"description\" content=\"Field heart rate measurements were used to classify work rate into four categories by using an adaptative neuro-fuzzy inference system.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system - Minist\u00e8re des Ressources naturelles et des For\u00eats\" \/>\n<meta property=\"og:description\" content=\"Field heart rate measurements were used to classify work rate into four categories by using an adaptative neuro-fuzzy inference system.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/\" \/>\n<meta property=\"og:site_name\" content=\"Minist\u00e8re des Ressources naturelles et des For\u00eats\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/RessourcesNaturellesForets\/\" \/>\n<meta property=\"og:image\" content=\"\/wp-content\/uploads\/Image-g%c3%a9n%c3%a9rale-hiver_FB.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@mrnfqc\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/\",\"url\":\"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/\",\"name\":\"Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system - Minist\u00e8re des Ressources naturelles et des For\u00eats\",\"isPartOf\":{\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/#website\"},\"datePublished\":\"2019-01-30T17:17:45+00:00\",\"description\":\"Field heart rate measurements were used to classify work rate into four categories by using an adaptative neuro-fuzzy inference system.\",\"breadcrumb\":{\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\/\/mrnf.gouv.qc.ca\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Publications\",\"item\":\"https:\/\/mrnf.gouv.qc.ca\/nos-publications\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/mrnf.gouv.qc.ca\/#website\",\"url\":\"https:\/\/mrnf.gouv.qc.ca\/\",\"name\":\"Minist\u00e8re des Ressources naturelles et des For\u00eats\",\"description\":\"Prototype WordPress\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/mrnf.gouv.qc.ca\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system - Minist\u00e8re des Ressources naturelles et des For\u00eats","description":"Field heart rate measurements were used to classify work rate into four categories by using an adaptative neuro-fuzzy inference system.","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:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/","og_locale":"en_US","og_type":"article","og_title":"Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system - Minist\u00e8re des Ressources naturelles et des For\u00eats","og_description":"Field heart rate measurements were used to classify work rate into four categories by using an adaptative neuro-fuzzy inference system.","og_url":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/","og_site_name":"Minist\u00e8re des Ressources naturelles et des For\u00eats","article_publisher":"https:\/\/www.facebook.com\/RessourcesNaturellesForets\/","og_image":[{"width":1200,"height":630,"url":"\/wp-content\/uploads\/Image-g%c3%a9n%c3%a9rale-hiver_FB.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_site":"@mrnfqc","twitter_misc":{"Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/","url":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/","name":"Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system - Minist\u00e8re des Ressources naturelles et des For\u00eats","isPartOf":{"@id":"https:\/\/mrnf.gouv.qc.ca\/#website"},"datePublished":"2019-01-30T17:17:45+00:00","description":"Field heart rate measurements were used to classify work rate into four categories by using an adaptative neuro-fuzzy inference system.","breadcrumb":{"@id":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/classifying-work-rate-heart-rate-measurements\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Accueil","item":"https:\/\/mrnf.gouv.qc.ca\/en\/"},{"@type":"ListItem","position":2,"name":"Publications","item":"https:\/\/mrnf.gouv.qc.ca\/nos-publications\/"},{"@type":"ListItem","position":3,"name":"Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system"}]},{"@type":"WebSite","@id":"https:\/\/mrnf.gouv.qc.ca\/#website","url":"https:\/\/mrnf.gouv.qc.ca\/","name":"Minist\u00e8re des Ressources naturelles et des For\u00eats","description":"Prototype WordPress","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/mrnf.gouv.qc.ca\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"_links":{"self":[{"href":"https:\/\/mrnf.gouv.qc.ca\/en\/wp-json\/wp\/v2\/cpt_publication\/82065","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mrnf.gouv.qc.ca\/en\/wp-json\/wp\/v2\/cpt_publication"}],"about":[{"href":"https:\/\/mrnf.gouv.qc.ca\/en\/wp-json\/wp\/v2\/types\/cpt_publication"}],"version-history":[{"count":0,"href":"https:\/\/mrnf.gouv.qc.ca\/en\/wp-json\/wp\/v2\/cpt_publication\/82065\/revisions"}],"wp:attachment":[{"href":"https:\/\/mrnf.gouv.qc.ca\/en\/wp-json\/wp\/v2\/media?parent=82065"}],"wp:term":[{"taxonomy":"cptt_secteur","embeddable":true,"href":"https:\/\/mrnf.gouv.qc.ca\/en\/wp-json\/wp\/v2\/cptt_secteur?post=82065"},{"taxonomy":"cptt_theme","embeddable":true,"href":"https:\/\/mrnf.gouv.qc.ca\/en\/wp-json\/wp\/v2\/cptt_theme?post=82065"},{"taxonomy":"cptt_categ_publi","embeddable":true,"href":"https:\/\/mrnf.gouv.qc.ca\/en\/wp-json\/wp\/v2\/cptt_categ_publi?post=82065"},{"taxonomy":"cptt_auteurs_ministeriels","embeddable":true,"href":"https:\/\/mrnf.gouv.qc.ca\/en\/wp-json\/wp\/v2\/cptt_auteurs_ministeriels?post=82065"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}