Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study (Preprint)

Author:

Concheiro-Moscoso PatriciaORCID,Groba BetaniaORCID,Alvarez-Estevez DiegoORCID,Miranda-Duro María del CarmenORCID,Pousada ThaisORCID,Nieto-Riveiro LauraORCID,Mejuto-Muiño Francisco JavierORCID,Pereira JavierORCID

Abstract

BACKGROUND

Polysomnography is the gold standard for measuring and detecting sleep patterns. In recent years, activity wristbands have become popular because they record continuous data in real time. Hence, comprehensive validation studies are needed to analyze the performance and reliability of these devices in the recording of sleep parameters.

OBJECTIVE

This study compared the performance of one of the best-selling activity wristbands, the Xiaomi Mi Band 5, against polysomnography in measuring sleep stages.

METHODS

This study was carried out at a hospital in A Coruña, Spain. People who were participating in a polysomnography study at a sleep unit were recruited to wear a Xiaomi Mi Band 5 simultaneously for 1 night. The total sample consisted of 45 adults, 25 (56%) with sleep disorders (SDis) and 20 (44%) without SDis.

RESULTS

Overall, the Xiaomi Mi Band 5 displayed 78% accuracy, 89% sensitivity, 35% specificity, and a Cohen κ value of 0.22. It significantly overestimated polysomnography total sleep time (<i>P</i>=.09), <i>light sleep</i> (N1+N2 stages of non–rapid eye movement [REM] sleep; <i>P</i>=.005), and <i>deep sleep</i> (N3 stage of non-REM sleep; <i>P</i>=.01). In addition, it underestimated polysomnography wake after sleep onset and REM sleep. Moreover, the Xiaomi Mi Band 5 performed better in people without sleep problems than in those with sleep problems, specifically in detecting total sleep time and <i>deep sleep</i>.

CONCLUSIONS

The Xiaomi Mi Band 5 can be potentially used to monitor sleep and to detect changes in sleep patterns, especially for people without sleep problems. However, additional studies are necessary with this activity wristband in people with different types of SDis.

CLINICALTRIAL

ClinicalTrials.gov NCT04568408; https://clinicaltrials.gov/ct2/show/NCT04568408

INTERNATIONAL REGISTERED REPORT

RR2-10.3390/ijerph18031106

Publisher

JMIR Publications Inc.

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