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

Metadaten
Verfasserangaben:	Atilla Ünlü, Rüdiger W. Brause GND, Karsten Krakow GND
URN:	urn:nbn:de:hebis:30-79267
Dokumentart:	Preprint
Sprache:	Englisch
Datum der Veröffentlichung (online):	08.09.2010
Jahr der Erstveröffentlichung:	2006
Veröffentlichende Institution:	Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:	08.09.2010
Freies Schlagwort / Tag:	Parkinson diagnosis; automatic handwriting analysis; electronic pen
Bemerkung:	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
Quelle:	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
Institute:	Informatik und Mathematik / Informatik
	Medizin / Medizin
DDC-Klassifikation:	0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Sammlungen:	Universitätspublikationen
Lizenz (Deutsch):	Deutsches Urheberrecht

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