ArticleJournal of medical Internet research2023
Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Validation of the Quality of Sleep Data for Xiaomi Domestic Wristbands
Quality of Life for Carers Through a Person-Centred Technological Solution
Wearable Technology in the Detection and Evaluation of Sleep-Related Breathing Disorders
Influence of Lifestyle Factors, Cardiorespiratory Fitness, and Body Composition on Plasma BDNF and pTau217 Levels and Cognitive Function in Healthy Young Adults
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Performance of consumer wrist-worn sleep tracking devices compared to polysomnography: a meta-analysis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Pooled it
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- Dynamic nutritional trajectories and deterioration risk in esophageal cancer radiotherapy: a prospective study.Frontiers in nutrition · 2026Article
- Prospective observational study on behavioral monitoring, disease progression assessment, and screening model development for patients with depression using wearable devices and mobile phones: protocol.Frontiers in psychiatry · 2026Article
- ReSTech project on Xiaomi wearable devices for monitoring and detecting obstructive sleep apnoea: observational study protocol.BMJ open · 2025Article
- Association of Physical Activity Intensity and Light/Deep Sleep in Young People from Southern Spain.Children (Basel, Switzerland) · 2025Article
- Association of chronotype and sleep behaviors with mental well-being, eating behaviors, and adiposity traits: a cross-sectional study among a sample of urban Malaysian adults.BMC public health · 2025Article
- Transforming Sleep Monitoring: Review of Wearable and Remote Devices Advancing Home Polysomnography and Their Role in Predicting Neurological Disorders.Biosensors · 2025Review
- Short Sleep Duration Is Associated with Overestimated Myopia in University Students.Nature and science of sleep · 2025Article
- Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study.Nature and science of sleep · 2025Article
- The Impact of DAZZEON αSleepClocks & sleep · 2024Article
- Article
- Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity.International journal of environmental research and public health · 2024Review
- Smart Devices for Health and Wellness Applied to Tele-Exercise: An Overview of New Trends and Technologies Such as IoT and AI.Healthcare (Basel, Switzerland) · 2023Review
- Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPolysomnography 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.
objectiveThis study compared the performance of one of the best-selling activity wristbands, the Xiaomi Mi Band 5, against polysomnography in measuring sleep stages.
methodsThis 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.
resultsOverall, 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 (P=.09), light sleep (N1+N2 stages of non-rapid eye movement [REM] sleep; P=.005), and deep sleep (N3 stage of non-REM sleep; P=.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 deep sleep.
conclusionsThe 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.
trial registrationClinicalTrials.gov NCT04568408; https://clinicaltrials.gov/ct2/show/NCT04568408. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.3390/ijerph18031106.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.