Sleep Phase Classification and Respiration Frequency Estimation Using a Wrist-worn Photoplethysmographic System

Renevey, Philippe; Delgado-Gonzalo, Ricard; Lemkaddem, Alia; Verjus, Christophe; Bertschi, Mattia

Sleep Phase Classification and Respiration Frequency Estimation Using a Wrist-worn Photoplethysmographic System

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2017_Renevey et al_Sleep Phase Classification and Respiration Frequency Estimation Using a Wrist-worn Photoplethysmographic System.pdf (70.78 KB)

Author

Renevey, Philippe

Delgado-Gonzalo, Ricard

Lemkaddem, Alia

Verjus, Christophe

Bertschi, Mattia

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Abstract

Sleep is important to ensure both physical and cognitive recovery. Disturbances in sleep patterns are indicators of underlying pathological conditions. For a proper analysis, polysomnography is the gold standard. However, it is obtrusive and requires medical supervision, which makes it not suitable for long-term studies or a large-scale implementation. CSEM is developing embedded systems to analyze the physiological variations observed during night based on wrist-worn photoplethysmographic measurements, which will enable unobtrusive and long-term monitoring of sleep.

Publication Reference

CSEM Scientific and Technical Report 2017, p. 121

Year

2017

URI

https://hdl.handle.net/20.500.12839/1767

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