Abstract
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.
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Ünlü, A., Brause, R., Krakow, K. (2006). Handwriting Analysis for Diagnosis and Prognosis of Parkinson’s Disease. In: Maglaveras, N., Chouvarda, I., Koutkias, V., Brause, R. (eds) Biological and Medical Data Analysis. ISBMDA 2006. Lecture Notes in Computer Science(), vol 4345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11946465_40
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DOI: https://doi.org/10.1007/11946465_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68063-5
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