A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson’s Disease Research-Reference-Cited by-同舟云学术

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A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson’s Disease Research

Published:2018 Issue: Volume: Page:650-655
ISSN:0302-9743
Container-title:Intelligent Computing Theories and Application
language:
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Author:

Bevilacqua Vitoantonio,Loconsole Claudio,Brunetti Antonio,Cascarano Giacomo Donato,Lattarulo Antonio,Losavio Giacomo,Di Sciascio Eugenio

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-95933-7_74

Reference7 articles.

1. Carmeli, E., Patish, H., Coleman, R.: The aging hand. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 58, M146–M152 (2003)

2. Van Gemmert, A.W.A., Teulings, H.-L., Contreras-Vidal, J.L., Stelmach, G.E.: Parkinsons disease and the control of size and speed in handwriting. Neuropsychologia 37, 685–694 (1999)

3. Drotar, P., Mekyska, J., Smekal, Z., Rektorova, I., Masarova, L., Faundez-Zanuy, M.: Prediction potential of different handwriting tasks for diagnosis of Parkinson’s. In: 2013 E-Health and Bioengineering Conference (EHB), pp. 1–4 (2013)

4. Rosenblum, S., Samuel, M., Zlotnik, S., Erikh, I., Schlesinger, I.: Handwriting as an objective tool for Parkinson’s disease diagnosis. J. Neurol. 260, 2357–2361 (2013)

5. Lecture Notes in Computer Science;C Loconsole,2017

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