Sensor-based movement and sleep analysis in Parkinson’s syndrome (D04)
Sensor-based movement and sleep analysis in Parkinson’s syndrome (D04)
Acronym: SFB 1483 EmpkinS D04 Project leader:Björn Eskofier, Jürgen Winkler Project members:Falk Pulsmeyer, Jelena Jukic Start date: 1. July 2021 End date: 30. June 2025 Funding source: DFG / Sonderforschungsbereich (SFB)
Abstract
In D04, innovative, non-contact EmpkinS sensor technology using machine learning algorithms and multimodal reference diagnostics is evaluated using the example of Parkinson’s-associated sleep disorder patterns. For this purpose, body function parameters of sleep are technically validated with wearable sensor technology and non-contact EmpkinS sensor technology in comparison to classical poly-somnography and correlated to clinical scales. In an algorithmic approach, multiparametric sleep parameters and sleep patterns are then evalulated in correlation to movement, cardiovascular and sleep phase regulation disorders.
