Wrist Device for Automatic Sleep Staging and Quality Monitoring
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Author
Celka, Patrick
Arberet, Simon
Renevey, Philippe
Solà, Josep
Lemay, Mathieu
Bertschi, Mattia
DOI
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.
Publication Reference
CSEM Scientific and Technical Report 2014, p. 101
Year
2014