A New Modality for Quantitative Evaluation of Parkinson's Disease: In-Air Movement

conference paper

English

Parkinsons disease (PD) is neurodegenerative disorder with very high prevalence rate occurring mainly among elderly. One of the most typical symptoms of PD is deterioration of handwriting that is usually the first manifestation of Parkinsons disease. In this study, a new modality - in-air trajectory during handwriting - is proposed to efficiently diagnose PD. Experimental results showed that analysis of in-air trajectories is capable of assessing subtle motor abnormalities that are connected with PD. Moreover, conjunction of in-air trajectories with conventional on-surface handwriting allows us to build predictive model with PD classification accuracy over 80%. In total, we compute over 600 handwriting features. Then, we select smaller subset of these features using two feature selection algorithms: Mann-Whitney U-test filter and relief algorithm, and map these feature subsets to binary classification response using support vector machines.

handwriting

DROTÁR, P.; MEKYSKA, J.; REKTOROVÁ, I.; MASAROVÁ, L.; SMÉKAL, Z.; FAÚNDEZ ZANUY, M.

2013

10. 11. 2013

IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

NEW YORK, NY 10017 USA

978-1-4799-3163-7

2013 IEEE 13TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE)

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