Estimation of Heart Rate Variability Measures Using Apple Watch and Evaluating Their Accuracy
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Date
2021-07-02Author
Turki, Ahmad
Ding, Kan
Zhang, Rong
Li, Ming
Bell, Kathleen
Behbehani, Khosrow
Metadata
Show full item recordAbstract
In a pandemic crisis such as the one that the world has been experiencing since January 2020, utilizing remote mobile health monitoring can help monitor the cardiac health of healthy individuals as
well as chronically ill patients. Apple Watch is a fitness tracker that
measures heart rate and can facilitate this need due to its availability
worldwide and relative affordability. Hence, it has the potential of
being useful in assessing and monitoring one’s cardiac health. This
paper reports the preliminary results from an ongoing study aimed
at assessing the accuracy of the Apple Watch in measuring heart
rate variability. To achieve the goal of the study, concurrent measurements of electrocardiogram (ECG), as a gold standard, and instantaneous Apple Watch heartrate values were made in six (4 male)
age 26.4±3.2 years old volunteer healthy subjects. Both time and
frequency domain measures of heartrate variability (HRV) were obtained from the recorded ECG and estimated from the Apple Watch
instantaneous heartrate values. The results indicate that it may be
possible to obtain a reasonable estimate of HRV time-domain and
frequency-domain metrics using Apple Watch in healthy subjects.