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
| Author: | Atilla Ünlü, Rüdiger W. Brause, Karsten Krakow |
|---|---|
| URN: | urn:nbn:de:hebis:30-79267 |
| Document Type: | Preprint |
| Language: | English |
| Date of Publication (online): | 08.09.2010 |
| Year of first Publication: | 2006 |
| Publishing Institution: | Univ.-Bibliothek Frankfurt am Main |
| 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): |  Veröffentlichungsvertrag für Publikationen ohne Print on Demand |
