Validation of Self-Quantification Xiaomi Band in a Clinical Sleep Unit
Polysomnography (PSG) is currently the accepted gold standard for sleep studies, as it measures multiple variables that lead to a clear diagnosis of any sleep disorder. However, it has some clear drawbacks, since it can only be performed by qualified technicians, has a high cost and complexity and i...
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| Format: | Article |
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MDPI AG
2020-08-01
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| Series: | Proceedings |
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| Online Access: | https://www.mdpi.com/2504-3900/54/1/29 |
| _version_ | 1797556608994115584 |
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| author | Francisco José Martínez-Martínez Patricia Concheiro-Moscoso María Del Carmen Miranda-Duro Francisco Docampo Boedo Francisco Javier Mejuto Muiño Betania Groba |
| author_facet | Francisco José Martínez-Martínez Patricia Concheiro-Moscoso María Del Carmen Miranda-Duro Francisco Docampo Boedo Francisco Javier Mejuto Muiño Betania Groba |
| author_sort | Francisco José Martínez-Martínez |
| collection | DOAJ |
| description | Polysomnography (PSG) is currently the accepted gold standard for sleep studies, as it measures multiple variables that lead to a clear diagnosis of any sleep disorder. However, it has some clear drawbacks, since it can only be performed by qualified technicians, has a high cost and complexity and is very invasive. In the last years, actigraphy has been used along PSG for sleep studies. In this study, we intend to assess the capability of the new Xiaomi Mi Smart Band 5 to be used as an actigraphy tool. Sleep measures from PSG and Xiaomi Mi Smart Band 5 recorded in the same night will be obtained and further analysed to assess their concordance. For this analysis, we perform a paired sample t-test to compare the different measures, Bland–Altman plots to evaluate the level of agreement between the Mi Band and PSG and Epoch by Epoch analysis to study the ability of the Mi Band to correctly identify PSG-defined sleep stages. This study belongs to the research field known as participatory health, which aims to offer an innovative healthcare model driven by the patients themselves, leading to civic empowerment and self-management of health. |
| first_indexed | 2024-03-10T17:04:17Z |
| format | Article |
| id | doaj.art-c91f4f40895446f1a7bb46672d961c3e |
| institution | Directory Open Access Journal |
| issn | 2504-3900 |
| language | English |
| last_indexed | 2024-03-10T17:04:17Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proceedings |
| spelling | doaj.art-c91f4f40895446f1a7bb46672d961c3e2023-11-20T10:51:25ZengMDPI AGProceedings2504-39002020-08-015412910.3390/proceedings2020054029Validation of Self-Quantification Xiaomi Band in a Clinical Sleep UnitFrancisco José Martínez-Martínez0Patricia Concheiro-Moscoso1María Del Carmen Miranda-Duro2Francisco Docampo Boedo3Francisco Javier Mejuto Muiño4Betania Groba5CITIC, TALIONIS Group, Elviña Campus, Universidade da Coruña (University of A Coruña), 15071 A Coruña, SpainCITIC, TALIONIS Group, Elviña Campus, Universidade da Coruña (University of A Coruña), 15071 A Coruña, SpainCITIC, TALIONIS Group, Elviña Campus, Universidade da Coruña (University of A Coruña), 15071 A Coruña, SpainHospital San Rafael, Las Jubias, 15009 A Coruña, SpainHospital San Rafael, Las Jubias, 15009 A Coruña, SpainCITIC, TALIONIS Group, Elviña Campus, Universidade da Coruña (University of A Coruña), 15071 A Coruña, SpainPolysomnography (PSG) is currently the accepted gold standard for sleep studies, as it measures multiple variables that lead to a clear diagnosis of any sleep disorder. However, it has some clear drawbacks, since it can only be performed by qualified technicians, has a high cost and complexity and is very invasive. In the last years, actigraphy has been used along PSG for sleep studies. In this study, we intend to assess the capability of the new Xiaomi Mi Smart Band 5 to be used as an actigraphy tool. Sleep measures from PSG and Xiaomi Mi Smart Band 5 recorded in the same night will be obtained and further analysed to assess their concordance. For this analysis, we perform a paired sample t-test to compare the different measures, Bland–Altman plots to evaluate the level of agreement between the Mi Band and PSG and Epoch by Epoch analysis to study the ability of the Mi Band to correctly identify PSG-defined sleep stages. This study belongs to the research field known as participatory health, which aims to offer an innovative healthcare model driven by the patients themselves, leading to civic empowerment and self-management of health.https://www.mdpi.com/2504-3900/54/1/29sleeppolysomnographyparticipatory healthXiaomi Mi Smart Band 5Internet of Things |
| spellingShingle | Francisco José Martínez-Martínez Patricia Concheiro-Moscoso María Del Carmen Miranda-Duro Francisco Docampo Boedo Francisco Javier Mejuto Muiño Betania Groba Validation of Self-Quantification Xiaomi Band in a Clinical Sleep Unit Proceedings sleep polysomnography participatory health Xiaomi Mi Smart Band 5 Internet of Things |
| title | Validation of Self-Quantification Xiaomi Band in a Clinical Sleep Unit |
| title_full | Validation of Self-Quantification Xiaomi Band in a Clinical Sleep Unit |
| title_fullStr | Validation of Self-Quantification Xiaomi Band in a Clinical Sleep Unit |
| title_full_unstemmed | Validation of Self-Quantification Xiaomi Band in a Clinical Sleep Unit |
| title_short | Validation of Self-Quantification Xiaomi Band in a Clinical Sleep Unit |
| title_sort | validation of self quantification xiaomi band in a clinical sleep unit |
| topic | sleep polysomnography participatory health Xiaomi Mi Smart Band 5 Internet of Things |
| url | https://www.mdpi.com/2504-3900/54/1/29 |
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