{"id":82239,"date":"2019-01-30T12:17:45","date_gmt":"2019-01-30T17:17:45","guid":{"rendered":"https:\/\/mrnf.gouv.qc.ca\/nos-publications\/estimating-oxygen-consumption\/"},"modified":"2019-01-30T12:17:45","modified_gmt":"2019-01-30T17:17:45","slug":"estimating-oxygen-consumption","status":"publish","type":"cpt_publication","link":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/estimating-oxygen-consumption\/","title":{"rendered":"Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches"},"content":{"rendered":"\n<p>Published in <b>Applied Ergonomics 45: 1475-1483. <a href=\"http:\/\/dx.doi.org\/10.1016\/j.apergo.2014.04.003\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/dx.doi.org\/10.1016\/j.apergo.2014.04.003<\/a><\/b><\/p>\n<p>In new approaches based on adaptive neuro-fuzzy systems (ANFIS) and analytical method, heart rate (HR) measurements were used to estimate oxygen consumption (VO<sub>2<\/sub>). Thirty-five participants performed Meyer and Flenghi\u2019s step-test (eight of which performed regeneration release work), during which heart rate and oxygen consumption were measured. Two individualized models and a General ANFIS model that does not require individual calibration were developed. Results indicated the superior precision achieved with individualized ANFIS modelling (RMSE = 1.0 and 2.8 ml\/kg min in laboratory and field, respectively). The analytical model outperformed the traditional linear calibration and Flex-HR methods with field data. The General ANFIS model\u2019s estimates of VO<sub>2<\/sub> were not significantly different from actual field VO<sub>2<\/sub> measurements (RMSE = 3.5 ml\/kg min). With its ease of use and low implementation cost, the General ANFIS model shows potential to replace any of the traditional individualized methods for VO<sub>2<\/sub> estimation from HR data collected in the field.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Published in Applied Ergonomics 45: 1475-1483. http:\/\/dx.doi.org\/10.1016\/j.apergo.2014.04.003 In new approaches based on adaptive neuro-fuzzy systems (ANFIS) and analytical method, heart rate (HR) measurements were used to estimate oxygen consumption (VO2). Thirty-five participants performed Meyer and Flenghi\u2019s step-test (eight of which performed regeneration release work), during which heart rate and oxygen consumption were measured. Two individualized [&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-82239","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>Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches - Minist\u00e8re des Ressources naturelles et des For\u00eats<\/title>\n<meta name=\"description\" content=\"Study on estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches.\" \/>\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\/estimating-oxygen-consumption\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches - 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