Handwriting analysis for diagnosis and prognosis of Parkinson’s disease

At present, there are no quantitative, objective methods for diagnosing the Parkinson disease. Existing methods of quantitative analysis by myograms suffer by inaccuracy and patient strain; electronic tablet analysis is 
At present, there are no quantitative, objective methods for diagnosing the Parkinson disease. Existing methods of quantitative analysis by myograms suffer by inaccuracy and patient strain; electronic tablet analysis is limited to the visible drawing, not including the writing forces and hand movements. In our paper we show how handwriting analysis can be obtained by a new electronic pen and new features of the recorded signals. This gives good results for diagnostics. Keywords: Parkinson diagnosis, electronic pen, automatic handwriting analysis
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Metadaten
Author:Atilla Ünlü, Rüdiger W. Brause, Karsten Krakow
URN:urn:nbn:de:hebis:30-79267
Document Type:Preprint
Language:English
Date of Publication (online):2010/09/08
Year of first Publication:2006
Publishing Institution:Univ.-Bibliothek Frankfurt am Main
Release Date:2010/09/08
Tag:Parkinson diagnosis ; automatic handwriting analysis; electronic pen
Source:Prepr. of con. to the VII. Int. Symp. Biological and Medical Data Analysis, ISBMDA, 2006, Thessalonik, Greece, 2006. Appeared in: N. Maglaveras ... (eds.): Proc. Int. Symp. Biological and Medical Data Analysis, LNCS, Vol. 4345, Springer-Verl., Heidelberg,
HeBIS PPN:22809769X
Institutes:Informatik
Medizin
Dewey Decimal Classification:004 Datenverarbeitung; Informatik
Sammlungen:Universitätspublikationen
Licence (German):License Logo Veröffentlichungsvertrag für Publikationen

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