Wrist Device for Automatic Sleep Staging and Quality Monitoring
| dc.contributor.author | Celka, Patrick | |
| dc.contributor.author | Arberet, Simon | |
| dc.contributor.author | Renevey, Philippe | |
| dc.contributor.author | SolĂ , Josep | |
| dc.contributor.author | Lemay, Mathieu | |
| dc.contributor.author | Bertschi, Mattia | |
| dc.date.accessioned | 2025-11-17T06:48:34Z | |
| dc.date.available | 2025-11-17T06:48:34Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | The study of sleep behavior becomes one of the most important fields of research in clinical science. Sleep is the main recovering time and bad quality of sleep is a prevalent factor accompanying chronic diseases such as sleep disordered breathing, diabetes, and cardiovascular dysfunction with enormous socio-economic impact. We developed a fully automatic sleep monitoring platform which includes the estimation of sleep quality indices as well as a sleep stage classification which will help diagnose these health risk factors. The resulting algorithm could be transferred into any wearable accelerometry and heart rate monitoring systems. | |
| dc.identifier.citation | CSEM Scientific and Technical Report 2014, p. 101 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12839/1838 | |
| dc.title | Wrist Device for Automatic Sleep Staging and Quality Monitoring | |
| dc.type | CSEM Report | |
| dc.type.csemdivisions | BU-D | |
| dc.type.csemresearchareas | Digital Health |
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