Contact person

• Markus Lüken, M.Sc.

Project description

Parkinson's disease (PD) is a neurodegenerative disease and is associated with a series of neurological movement disorders. These include the main symptoms of the well-known Parkinsonian triad: rigidity (stiffness of the extremities, cogwheel effect), tremors, and akinesis / bradykinesis (movement deprivation / deceleration). For the diagnosis of Parkinson's disease, the occurrence of one of these symptoms is used, among other symptoms (freezing of Gait (FoG), postural instability, orthostatic dysregulation, etc.), which appear individually.

Project goals

The focus of this project is the development of a body sensor network (BSN) distributed over the body, which is able to classify and quantify the various Parkinso nian symptoms by using different sensor modalities. To this end, biomechanical and physiological models are designed in order to derive appropriate parameters for assessing the patient's constitution by fusion of the collected sensor data.