Evaluation of the Suitability of Digital Devices for Measuring Heart Rate Variability : A Comparative Analysis with ECG

Purpose: The purpose of this study is to investigate the reliability of heart rate variability (HRV) measurements obtained through wearable devices and applications in comparison to those obtained from a medical-grade electrocardiogram (ECG) device.<br/> Method: A total of 42 participants (14 males and 28 females; mean age: 32.19±12.07 years) were included in the study. The devices used in this study were the Polar H10, EliteHRV application, and the medical-grade ECG device SA-3000New. HRV parameters (heart rate, RMSSD, SDNN, TP, LF, and HF) were measured under three conditions (Rest, Stress, and Breathing), each for 5 minutes. To evaluate the agreement between HRV measurements from the ECG device and Polar+Elite HRV combination, correlation and Bland-Altman (BA) ratio analyses were conducted.<br/> Results: The correlation coefficients between the two devices for heart rate, SDNN, RMSSD, TP, LF, and HF were 0.998, 0.991, 0.978, 0.850, 0.951, and 0.954, respectively. The BA ratio analysis showed BA ratios of 0.005, 0.077, 0.110, 0.407, 0.317, and 0.634 for heart rate, SDNN, RMSSD, TP, LF, and HF, respectively. <br/> Conclusion: The study concluded that heart rate and time-domain HRV measurements calculated through the wearable device and application provided accurate and reliable signals comparable to those from the medical-grade ECG device. However, frequency-domain HRV measurements showed lower agreement and higher variability, indicating the need for caution when using these data for research purposes.

Authors

Publication Details

Journal
Journal of Sport and Leisure Studies
Published
2024-10-31
DOI
https://doi.org/10.51979/kssls.2024.10.98.325
Citations
3
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the Suitability of Digital Devices for Measuring Heart Rate Variability : A Comparative Analysis with ECG

Min-jung Woo, C K Im
3 citations
Journal of Sport and Leisure Studies
Heart Rate Variability and Autonomic Control
1.21
article

Evaluation of the Suitability of Digital Devices for Measuring Heart Rate Variability : A Comparative Analysis with ECG

Min-jung Woo, C K Im
article en
3 citations

Abstract

Purpose: The purpose of this study is to investigate the reliability of heart rate variability (HRV) measurements obtained through wearable devices and applications in comparison to those obtained from a medical-grade electrocardiogram (ECG) device.<br/> Method: A total of 42 participants (14 males and 28 females; mean age: 32.19±12.07 years) were included in the study. The devices used in this study were the Polar H10, EliteHRV application, and the medical-grade ECG device SA-3000New. HRV parameters (heart rate, RMSSD, SDNN, TP, LF, and HF) were measured under three conditions (Rest, Stress, and Breathing), each for 5 minutes. To evaluate the agreement between HRV measurements from the ECG device and Polar+Elite HRV combination, correlation and Bland-Altman (BA) ratio analyses were conducted.<br/> Results: The correlation coefficients between the two devices for heart rate, SDNN, RMSSD, TP, LF, and HF were 0.998, 0.991, 0.978, 0.850, 0.951, and 0.954, respectively. The BA ratio analysis showed BA ratios of 0.005, 0.077, 0.110, 0.407, 0.317, and 0.634 for heart rate, SDNN, RMSSD, TP, LF, and HF, respectively. <br/> Conclusion: The study concluded that heart rate and time-domain HRV measurements calculated through the wearable device and application provided accurate and reliable signals comparable to those from the medical-grade ECG device. However, frequency-domain HRV measurements showed lower agreement and higher variability, indicating the need for caution when using these data for research purposes.

Journal of Sport and Leisure StudiesVol. 98
Good health and well-being
Openalex Percentile: Top 17%
Heart Rate Variability and Autonomic Control
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.