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Published on: June 5, 2019
Can Wearable Devices Accurately Measure Heart Rate Variability? A Systematic Review.
Konstantinos Georgiou1, Andreas V Larentzakis2, Nehal N Khamis3
1Department of Biological Chemistry, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Wearable devices show promise for measuring heart rate variability (HRV) during rest, but accuracy decreases with exercise. More research is needed for reliable measurements in dynamic conditions.
Area of Science:
- Cardiovascular physiology
- Biomedical engineering
- Wearable technology
Background:
- Numerous wearable devices claim accurate, affordable heart rate variability (HRV) measurements using photoplethysmography (PPG) or electrocardiography (ECG).
- Previous studies on the agreement between pulse rate variability (PRV) and HRV from wearables are inconclusive.
- Wearable technology offers a non-invasive alternative to traditional electrocardiogram (ECG) for RR interval estimation.
Purpose of the Study:
- To systematically review the reliability and precision of wearable devices for measuring classic HRV parameters.
- To assess wearable HRV accuracy during both rest and exercise conditions.
Main Methods:
- A comprehensive literature search was conducted across MEDLINE, SCOPUS, and the internet.
- A total of 308 articles were retrieved and screened based on predefined inclusion/exclusion criteria.
- Eighteen studies met the criteria for inclusion in the systematic review.
Main Results:
- Sixteen studies utilized ECG-based HRV technology, while two used PPG-based PRV technology.
- Wearable device accuracy for HRV detection was evaluated during rest in all included studies.
- Correlation between ECG-derived HRV and wearable HRV was excellent at rest but decreased progressively with increasing exercise intensity.
Conclusions:
- Wearable devices present a potentially valuable alternative for measuring heart rate variability (HRV).
- Further rigorous studies are required, particularly in non-stationary conditions (exercise).
- Future research should focus on robust methodologies, including adequate sample sizes and appropriate data acquisition/analysis techniques.
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