Validation of an Open-Source Smartwatch for Continuous Monitoring of Physical Activity and Heart Rate in Adults
Consumer-grade wrist-based wearable devices have grown in popularity among researchers to continuously collect metrics such as physical activity and heart rate. However, manufacturers rarely disclose the preprocessing sensor data algorithms, and user-generated data are typically shared leading to data governance issues. Open-source technology may address these limitations. This study evaluates the validity of the Bangle.js2 for step counting and heart rate during lab-based validation and agreement with other wearable devices (steps: Fitbit Charge 5; heart rate: Polar H10) in free-living conditions. A custom open-source application was developed to capture the sensor data from the Bangle.js2. Participants (<i>n</i> = 47; 25 males; 27 ± 11 years) were asked to complete a lab-based treadmill validation (3 min stages at 2, 3, 4, and 5 mph) and stair climbing procedure followed by a 24 h free-living period. The Bangle.js2 demonstrated systematic undercounting of steps at slower walking speeds with acceptable error achieved at 5 km/h. During free-living conditions, the Bangle.js2 demonstrated strong agreement with the Fitbit Charge 5 for per-minute step counting (CCC = 0.90) and total steps over 24 h (CCC = 0.96). Additionally, the Bangle.js2 demonstrated strong agreement with the Polar H10 for minute-averaged heart rate (CCC = 0.78). In conclusion, the Bangle.js2 is a valid open-source hardware and software solution for researchers interested in step counting and heart rate monitoring in free-living conditions.
Authors
- Nicholas Ravanelli (ORCID: https://orcid.org/0000-0002-4894-9552)
- Wei Lin (ORCID: https://orcid.org/0000-0002-3869-6651)
- Amy Brough
- KarLee Lefebvre
- Simon Paquette
Institutions
- National University of Singapore (SG)
- Lakehead University (CA)
Publication Details
- Journal
- Sensors
- Published
- 2025-05-06
- DOI
- https://doi.org/10.3390/s25092926
- Citations
- 6
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 4.04