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 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. BrauseGND, Karsten KrakowGND
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:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2010/09/08
Tag:Parkinson diagnosis; automatic handwriting analysis; electronic pen
Note:
Preprint of the contribution to the VII. Int. Symp. Biological and Medical Data Analysis ISBMDA 2006, Thessalonik, Greece 2006. Appeared in: N.Maglaveras, I. Chouvarda, V. Koutkias, R.Brause (Eds.): Proc. Int. Symp. Biological and Medical Data Analysis, LNCS Vol 4345, Springer Verlag Heidelberg 2006, pp. 441-450
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 und Mathematik / Informatik
Medizin / Medizin
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht