期刊
出版社
IEEE
DOI: 10.1109/BIBE.2013.6701692
关键词
-
资金
- Speech, its impairment and cognitive performance in Parkinsons disease [NT13499]
- CEITEC [CZ.1.07/2.3.00/20.0094]
- Central European Institute of Technology [CZ.1.05/1.1.00/02.0068]
- European Regional Development Fund
- FEDER and Ministerio de Economa y Competitividad [TEC2012-38630-C04-03]
- SIX project
- Research and Development for Innovation [CZ.1.05/2.1.00/03.0072]
- Brno University of Technology [CZ.1.07/2.3.00/30.0005]
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据