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Updated: Mar 29, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Knowledge representation of motor activity of patients with Parkinson's disease
Bożena Kostek1, Adam Kupryjanow2, Andrzej Czyżewski2
1Audio Acoustics Lab, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland.
Abstract:
An approach to the knowledge representation extraction from biomedical signals analysis concerning motor activity of Parkinson disease patients is proposed in this paper. This is done utilizing accelerometers attached to their body as well as exploiting video image of their hand movements. Experiments are carried out employing artificial neural networks and support vector machine to the recognition of characteristic motor activity disorders in patients. Obtained results indicate that it is possible to interpret some selected patient's body movements with a sufficiently high effectiveness.
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