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Validating a Consumer Smartwatch for Nocturnal Respiratory Rate Measurements in Sleep Monitoring.
Hyunjun Jung1, Dongyeop Kim2, Jongmin Choi1
1Samsung Electronics, Suwon 16677, Republic of Korea.
Sensors (Basel, Switzerland)
|September 28, 2023
Summary
Samsung Galaxy Watch (GW) accurately estimates sleep respiratory rate (RR) in most obstructive sleep apnea (OSA) patients. Accuracy decreases in severe OSA cases, highlighting potential limitations for this demographic.
Area of Science:
- Sleep Medicine
- Wearable Technology
- Cardiorespiratory Monitoring
Background:
- Wrist-based respiratory rate (RR) monitoring during sleep has accuracy challenges.
- Obstructive sleep apnea (OSA) severity can impact the reliability of wearable-based RR measurements.
Purpose of the Study:
- To evaluate the accuracy of RR estimation during sleep using Samsung Galaxy Watch (GW) series.
- To assess how OSA severity affects the accuracy of GW's RR estimation function.
Main Methods:
- 195 participants underwent overnight polysomnography while wearing a GW.
- GW's estimated RR was compared against a reference RR from a nasal thermocouple.
- Root mean squared error (RMSE) and bias were calculated for average and continuous RR measurements.
Main Results:
- Overall RMSE for average and continuous RR were 1.13 bpm and 1.62 bpm, with minimal bias.
- Good agreement observed for normal, mild, and moderate OSA groups, with accuracy exceeding 90%.
- Accuracy decreased to 79.45% (average) and 75.8% (continuous) in severe OSA patients.
Conclusions:
- Samsung GW demonstrates good accuracy for sleep RR estimation in individuals with normal-to-moderate OSA.
- Accuracy of sleep RR estimation using GW is compromised in patients with severe OSA.
- Further research is needed to improve RR estimation accuracy in severe OSA patients using wearable devices.
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