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A new modality for quantitative evaluation of Parkinson's disease: In-air movement

Authors :
Irena Rektorová
Lucia Masárová
Zdenek Smekal
Jiri Mekyska
Peter Drotar
Marcos Faundez-Zanuy
Source :
BIBE
Publication Year :
2013
Publisher :
IEEE, 2013.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
13th IEEE International Conference on BioInformatics and BioEngineering
Accession number :
edsair.doi...........b8c6d19d414953baeda138b21c30d83d
Full Text :
https://doi.org/10.1109/bibe.2013.6701692