Knowledge representation of motor activity of patients with Parkinson's disease.
作者信息
Kostek Bożena, Kupryjanow Adam, Czyżewski Andrzej
机构信息
Audio Acoustics Lab, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland.
Multimedia Systems Department, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland.
出版信息
Nat Comput. 2015;14(4):579-591. doi: 10.1007/s11047-014-9475-0. Epub 2014 Dec 31.
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.
Zotero 插件