Sora Baek1,2, Yuncheol Ha1, Hee-Won Park1,2. 1. Department of Rehabilitation Medicine, Kangwon National University Hospital, Chuncheon, South Korea. 2. Department of Rehabilitation Medicine, Kangwon National University School of Medicine, Chuncheon, South Korea.
Abstract
INTRODUCTION: Nordic walking is being used increasingly as an exercise method in many clinical disorders. To apply Nordic walking in cases of fragile or deconditioned patients, monitoring of exercise intensity such as heart rate (HR) measurement is required. The accuracy of wearable HR monitors during Nordic walking has not yet been reported. OBJECTIVE: To compare the accuracy of an electrocardiography (ECG)-based HR monitor (Polar H7) and a photoplethysmography (PPG)-based HR monitor (Fitbit Charge 2) during conventional and Nordic walking. DESIGN: Accuracy was assessed by comparing the HR values obtained using the wearable devices with those obtained via 12-lead ECG as a reference. SETTING: Laboratory setting. PARTICIPANTS: Fifteen male volunteers age 23.7 ± 3.0 years. INTERVENTIONS: None. MAIN OUTCOMES MEASURES: HR was simultaneously recorded via 12-lead ECG, the Polar H7, and the Fitbit Charge 2 during conventional and Nordic walking. Agreement between the devices was assessed by calculating Lin's concordance correlation coefficient (rc ), the mean absolute difference, and the limit of agreement (LoA) from Bland-Altman plots. RESULTS: Regarding HR values including Nordic and conventional walking, there was a better agreement between the Polar H7 and the reference (rc = 0.96) than between the Fitbit Charge 2 and the reference (rc = 0.84). For the Polar H7, the mean absolute difference from the reference did not differ significantly between the walking methods; for the Fitbit Charge 2, the mean absolute difference was significantly higher during Nordic walking than during conventional walking (6.60 vs. 3.68 bpm, P < .001). The Fitbit Charge 2 had a wider LoA than did the Polar H7 during both walking methods. CONCLUSION: ECG-based wearable devices may be better than PPG-based devices for monitoring HR during Nordic walking. However, both types of devices may adequately monitor HR during conventional walking.
INTRODUCTION: Nordic walking is being used increasingly as an exercise method in many clinical disorders. To apply Nordic walking in cases of fragile or deconditioned patients, monitoring of exercise intensity such as heart rate (HR) measurement is required. The accuracy of wearable HR monitors during Nordic walking has not yet been reported. OBJECTIVE: To compare the accuracy of an electrocardiography (ECG)-based HR monitor (Polar H7) and a photoplethysmography (PPG)-based HR monitor (Fitbit Charge 2) during conventional and Nordic walking. DESIGN: Accuracy was assessed by comparing the HR values obtained using the wearable devices with those obtained via 12-lead ECG as a reference. SETTING: Laboratory setting. PARTICIPANTS: Fifteen male volunteers age 23.7 ± 3.0 years. INTERVENTIONS: None. MAIN OUTCOMES MEASURES: HR was simultaneously recorded via 12-lead ECG, the Polar H7, and the Fitbit Charge 2 during conventional and Nordic walking. Agreement between the devices was assessed by calculating Lin's concordance correlation coefficient (rc ), the mean absolute difference, and the limit of agreement (LoA) from Bland-Altman plots. RESULTS: Regarding HR values including Nordic and conventional walking, there was a better agreement between the Polar H7 and the reference (rc = 0.96) than between the Fitbit Charge 2 and the reference (rc = 0.84). For the Polar H7, the mean absolute difference from the reference did not differ significantly between the walking methods; for the Fitbit Charge 2, the mean absolute difference was significantly higher during Nordic walking than during conventional walking (6.60 vs. 3.68 bpm, P < .001). The Fitbit Charge 2 had a wider LoA than did the Polar H7 during both walking methods. CONCLUSION: ECG-based wearable devices may be better than PPG-based devices for monitoring HR during Nordic walking. However, both types of devices may adequately monitor HR during conventional walking.
Authors: Guillaume Chevance; Natalie M Golaszewski; Elizabeth Tipton; Eric B Hekler; Matthew Buman; Gregory J Welk; Kevin Patrick; Job G Godino Journal: JMIR Mhealth Uhealth Date: 2022-04-13 Impact factor: 4.947
Authors: Elaine Y Wan; Hamid Ghanbari; Nazem Akoum; Zachi Itzhak Attia; Samuel J Asirvatham; Eugene H Chung; Lilas Dagher; Sana M Al-Khatib; G Stuart Mendenhall; David D McManus; Rajeev K Pathak; Rod S Passman; Nicholas S Peters; David S Schwartzman; Emma Svennberg; Khaldoun G Tarakji; Mintu P Turakhia; Anthony Trela; Hirad Yarmohammadi; Nassir F Marrouche Journal: Cardiovasc Digit Health J Date: 2021-07-10
Authors: Michael Nissen; Syrine Slim; Katharina Jäger; Madeleine Flaucher; Hanna Huebner; Nina Danzberger; Peter A Fasching; Matthias W Beckmann; Stefan Gradl; Bjoern M Eskofier Journal: JMIR Form Res Date: 2022-03-01