Evaluation of a wireless home sleep monitoring system compared to Polysomnography
Résumé
Sleep is essential for human health. Bad sleep and sleep
disorders have been increasingly prevalent and are gradually
becoming a social problem that cannot be ignored. The current
gold standard in sleep monitoring is polysomnography (PSG)
allowing nearly complete approach. Unfortunately, this wealth
of information is obtained at the cost of invasive system, only
usable in hospital environment under the control of sleep
experts. Therefore, we develop a wireless body networks for
home sleep monitoring with effort on non-intrusiveness,
portability and autonomy. In this paper, we present our global
architecture from sensors to user display with a focus on main
functions and hardware. Then, we introduce the chosen
indicators for sleep monitoring and the algorithms developed
for sleep stages classification. Finally we show the evaluation
of our approach compared to PSG. We illustrate the sleep stage
classification during one night in the sleep unit of Toulouse
University Hospital and highlight correlation between body
temperature on extremities and Periodic Limb Movement
during Sleep. Results are promising but need to be reinforced
with new tests in hospital with several volunteers
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