Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network.

Journal: IEEE journal of translational engineering in health and medicine
Published Date: Oct 7, 2019

Abstract

OBJECTIVE: Parkinson's disease (PD) is a serious neurodegenerative disorder. It is reported that most of PD patients have voice impairments. But these voice impairments are not perceptible to common listeners. Therefore, different machine learning methods have been developed for automated PD detection. However, these methods either lack generalization and clinically significant classification performance or face the problem of subject overlap.

Authors

  • Liaqat Ali
    School of Information and Communication EngineeringUniversity of Electronic Science and Technology of China (UESTC)Chengdu611731China.
  • Ce Zhu
    School of Information and Communication EngineeringUniversity of Electronic Science and Technology of China (UESTC)Chengdu611731China.
  • Zhonghao Zhang
    School of Information and Communication EngineeringUniversity of Electronic Science and Technology of China (UESTC)Chengdu611731China.
  • Yipeng Liu
    School of Information and Communication EngineeringUniversity of Electronic Science and Technology of China (UESTC)Chengdu611731China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals