0774 COMPARISON OF WRISTBAND-BASED AND ECG-BASED SLEEP ANALYSES

Abstract

Introduction: Nowadays, the concept of sleep health management is well accepted, and consumer sleep technologies are commonly utilized in mobile devices including high-end wristbands and smartwatches. However, most wearable devices on the market are entertainment- oriented, and cannot generate reliable sleep assessments; their accuracy of sleep evaluation has not been studied systematically. The objective of this study is to compare the result of sleep analysis obtained by a wristband with the result from a well-accepted ECGbased sleep analysis approach, known as Cardiopulmonary Coupling (CPC). Methods: HUAWEI FIT (Honor Watch S1), which implemented an algorithm based on heart rate variability developed by Nanjing Fengsheng Yongkang Software Technology Co., Ltd. (NFYST), was used. In the study, 200 subjects (100 males, 50%) were recruited, from three Chinese cities (Dongguan, Suzhou and Nanjing), with an age range of 18-45years (median age 27yr). All subjects made records for the test night, including time for bed, time to fall asleep and wake-up time in the morning. Results: The subjects reported total sleep time (TST) ranged from 135 to 550 minutes (median TST = 401min). The data from wristband and ECG recordings were extracted and analyzed by the NFYST algorithm and CPC analysis, respectively. To investigate the accuracy of the classification obtained by wristband, six measures were calculated, and the median of six measures are stable sleep detection (83.71%); unstable sleep detection (74.53%); REM sleep detection (81.01%); stable sleep duration (88.09%); unstable sleep duration (89.77%); REM sleep duration (83.04%). The results show that the classifications obtained by wristband and CPC analysis are consistent. Conclusion: Sleep quality evaluation obtained from a wristband can be accurate on the identification of sleep states. Further applications for detecting sleep disorders are worth studying. Portable or wearable devices may play an important role in monitoring sleep quality or sleep disorder screening at home.