Sensor-based movement and sleep analysis in Parkinson’s syndrome (D04)

Abstract

Sleep is an essential part of the everyday life. Everyday we spend 7 to 9 hours in our bed. This offers a great opportunity for monitoring health data because we are staying in the same place for a long time. The problem is that the current standard for sleep monitoring can be a little bit obtrusive. The goal of this project in coordination with other EmpkinS projects is to find a possibly fully unobtrusive solution to this problem.

Furthermore, sleep monitoring is especially interesting for diseases like Parkinson’s that shows effects during the night.