Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Aug 22, 2022
Date Accepted: Mar 3, 2023
Quality of Sleep Data Validation from the Xiaomi Mi Band 5 Compared With Polysomnography
ABSTRACT
Background:
Polysomnography is the gold standard for measuring and detecting sleep patterns. In recent years activity wristbands have become popular due to continuous data recorded in real-time. Thereby, comprehensive validation studies are needed to analyze the performance and reliability of these devices in the recording of sleep parameters.
Objective:
This study validated the performance of one of the best-selling activity wristbands, Xiaomi Mi Band 5, against Polysomnography in measuring the sleep stages.
Methods:
This study was carried out in a hospital in A Coruña, Spain. People, who attended to perform a Polysomnography study in a sleep unit, were recruited to wear a Xiaomi Mi Band 5 simultaneously for one night. The total sample was forty-five adults with and without sleep disorders.
Results:
Overall, results showed that the Xiaomi device had 77.98% accuracy, 79% sensitivity, and 41.55% specificity. It significantly overestimated Polysomnography TST, “light sleep” (N1+N2), and “deep sleep” (N3). Also, it underestimated Polysomnography wake after sleep onset and rapid-eye-movement sleep. Moreover, the findings showed that the Xiaomi device had better performance in people without sleep problems than with sleep problems, specifically in detecting total sleep time and “deep sleep”.
Conclusions:
Xiaomi Mi Band 5 can be a potential device for monitoring sleep and detecting changes in sleep patterns, especially for people without sleep problems. Moreover, further studies are necessary with this device in people with different types of sleep disorders. Clinical Trial: NCT04568408. Available: https://clinicaltrials.gov/ct2/show/NCT04568408 (Registered September 23, 2020).
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