Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study
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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2023-05-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2023/1/e42073 |
| _version_ | 1797734119702003712 |
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| author | Patricia Concheiro-Moscoso Betania Groba Diego Alvarez-Estevez María del Carmen Miranda-Duro Thais Pousada Laura Nieto-Riveiro Francisco Javier Mejuto-Muiño Javier Pereira |
| author_facet | Patricia Concheiro-Moscoso Betania Groba Diego Alvarez-Estevez María del Carmen Miranda-Duro Thais Pousada Laura Nieto-Riveiro Francisco Javier Mejuto-Muiño Javier Pereira |
| author_sort | Patricia Concheiro-Moscoso |
| collection | DOAJ |
| description |
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 |
| first_indexed | 2024-03-12T12:39:42Z |
| format | Article |
| id | doaj.art-c24bdd8be6444e9bbe35d127d8386f40 |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-03-12T12:39:42Z |
| publishDate | 2023-05-01 |
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| series | Journal of Medical Internet Research |
| spelling | doaj.art-c24bdd8be6444e9bbe35d127d8386f402023-08-28T23:57:05ZengJMIR PublicationsJournal of Medical Internet Research1438-88712023-05-0125e4207310.2196/42073Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison StudyPatricia Concheiro-Moscosohttps://orcid.org/0000-0002-4232-5247Betania Grobahttps://orcid.org/0000-0001-5547-2337Diego Alvarez-Estevezhttps://orcid.org/0000-0001-5790-0577María del Carmen Miranda-Durohttps://orcid.org/0000-0002-6166-7760Thais Pousadahttps://orcid.org/0000-0003-3356-0429Laura Nieto-Riveirohttps://orcid.org/0000-0003-3460-5895Francisco Javier Mejuto-Muiñohttps://orcid.org/0009-0007-5981-7743Javier Pereirahttps://orcid.org/0000-0001-9328-0723 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/ijerph18031106https://www.jmir.org/2023/1/e42073 |
| spellingShingle | Patricia Concheiro-Moscoso Betania Groba Diego Alvarez-Estevez María del Carmen Miranda-Duro Thais Pousada Laura Nieto-Riveiro Francisco Javier Mejuto-Muiño Javier Pereira Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study Journal of Medical Internet Research |
| title | Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study |
| title_full | Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study |
| title_fullStr | Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study |
| title_full_unstemmed | Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study |
| title_short | Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study |
| title_sort | quality of sleep data validation from the xiaomi mi band 5 against polysomnography comparison study |
| url | https://www.jmir.org/2023/1/e42073 |
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