{"id":{"repo_id":"york","oai_identifier":"oai:yorkspace.library.yorku.ca:10315/38765"},"canonical_url":"https://search.dev.ndltd.org/etd/york/oai:yorkspace.library.yorku.ca:10315/38765","repository":{"repo_id":"york","name":"York University","base_url":"https://yorkspace.library.yorku.ca/oai/request"},"display":{"title":"A Validation Study: Fitbit Charge 2 Heart Rate Measurement at Rest and During Cognitive-Emotional Stressors","abstract":"Previous studies emphasize concurrent validity of wearable devices during physical activity. We investigate device agreement between Fitbit Charge 2 (FBC2) Heart Rate (HR) and electrocardiography (ECG) under sedentary conditions. In a sample of 32 post-secondary students, agreement was observed during rest, negative affect images, deceptive pattern solving task, and a listening task. ECG HR and FBC2 HR was sampled continuously and transformed into 1120 paired 1-min epochs throughout a 35-minute protocol. Bland-Altman were adopted to evaluate agreement. FBC2 HR underestimated ECG HR as indicated by a mean error bias = -1.1 bpm (95% limits of agreement, -5.62 to 3.42), mean absolute percentage error 1.34 (SD = 1.85) %. Bland-Altman limits of agreement plot indicated minimal systematic error in the measurement range of 54 bpm to 117 bpm. When compared to gold-standard ECG HR the FBC2 HR demonstrated good agreement in healthy young adults.","abstract_html":"Previous studies emphasize concurrent validity of wearable devices during physical activity. We investigate device agreement between Fitbit Charge 2 (FBC2) Heart Rate (HR) and electrocardiography (ECG) under sedentary conditions. In a sample of 32 post-secondary students, agreement was observed during rest, negative affect images, deceptive pattern solving task, and a listening task. ECG HR and FBC2 HR was sampled continuously and transformed into 1120 paired 1-min epochs throughout a 35-minute protocol. Bland-Altman were adopted to evaluate agreement. FBC2 HR underestimated ECG HR as indicated by a mean error bias = -1.1 bpm (95% limits of agreement, -5.62 to 3.42), mean absolute percentage error 1.34 (SD = 1.85) %. Bland-Altman limits of agreement plot indicated minimal systematic error in the measurement range of 54 bpm to 117 bpm. When compared to gold-standard ECG HR the FBC2 HR demonstrated good agreement in healthy young adults.","abstract_has_math":false,"creators":["Williams, Spencer Harrison"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Ritvo, Paul G."],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-11-15","date_published":"2021-11-15","updated_at":"2026-07-24T06:33:38Z","subjects":["Biomedical engineering"],"languages":["en"],"rights":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10315/38765","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Ritvo, Paul G."]},{"key":"dc:creator","label":"Author","values":["Williams, Spencer Harrison"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2021-11-15T15:52:04Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2021-11-15T15:52:04Z"]},{"key":"dc:date.issued","label":"Date","values":["2021-11-15"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Biomedical engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10315/38765"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Previous studies emphasize concurrent validity of wearable devices during physical activity. We investigate device agreement between Fitbit Charge 2 (FBC2) Heart Rate (HR) and electrocardiography (ECG) under sedentary conditions. In a sample of 32 post-secondary students, agreement was observed during rest, negative affect images, deceptive pattern solving task, and a listening task. ECG HR and FBC2 HR was sampled continuously and transformed into 1120 paired 1-min epochs throughout a 35-minute protocol. Bland-Altman were adopted to evaluate agreement. FBC2 HR underestimated ECG HR as indicated by a mean error bias = -1.1 bpm (95% limits of agreement, -5.62 to 3.42), mean absolute percentage error 1.34 (SD = 1.85) %. Bland-Altman limits of agreement plot indicated minimal systematic error in the measurement range of 54 bpm to 117 bpm. When compared to gold-standard ECG HR the FBC2 HR demonstrated good agreement in healthy young adults."]},{"key":"dc:title","label":"Title","values":["A Validation Study: Fitbit Charge 2 Heart Rate Measurement at Rest and During Cognitive-Emotional Stressors"]}]}],"canonical_facts":{"dc:contributor.advisor":["Ritvo, Paul G."],"dc:creator":["Williams, Spencer Harrison"],"dc:date.accessioned":["2021-11-15T15:52:04Z"],"dc:date.available":["2021-11-15T15:52:04Z"],"dc:date.issued":["2021-11-15"],"dc:description.abstract":["Previous studies emphasize concurrent validity of wearable devices during physical activity. We investigate device agreement between Fitbit Charge 2 (FBC2) Heart Rate (HR) and electrocardiography (ECG) under sedentary conditions. In a sample of 32 post-secondary students, agreement was observed during rest, negative affect images, deceptive pattern solving task, and a listening task. ECG HR and FBC2 HR was sampled continuously and transformed into 1120 paired 1-min epochs throughout a 35-minute protocol. Bland-Altman were adopted to evaluate agreement. FBC2 HR underestimated ECG HR as indicated by a mean error bias = -1.1 bpm (95% limits of agreement, -5.62 to 3.42), mean absolute percentage error 1.34 (SD = 1.85) %. Bland-Altman limits of agreement plot indicated minimal systematic error in the measurement range of 54 bpm to 117 bpm. When compared to gold-standard ECG HR the FBC2 HR demonstrated good agreement in healthy young adults."],"dc:identifier.uri":["http://hdl.handle.net/10315/38765"],"dc:language":["en"],"dc:rights":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."],"dc:subject":["Biomedical engineering"],"dc:title":["A Validation Study: Fitbit Charge 2 Heart Rate Measurement at Rest and During Cognitive-Emotional Stressors"],"dc:type":["Electronic Thesis or Dissertation"]},"updated_at":"2026-07-24T06:33:38Z"}