TY - GEN
T1 - A Detection Method for Parkinson's Hand Tremor Based on Machine Learning
AU - Meng, Jiao
AU - Niu, Qingran
AU - Huo, Xin
AU - Zhao, Hui
AU - Zhang, Liming
AU - Wang, Xun
AU - Wang, Yang
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - Parkinson's disease (PD) is a common neurodegenerative disease, which threatens people's health seriously. Advanced artificial intelligence methods such as machine learning provide a new way for the diagnosis of PD, so it has become a hot topic of concern. This paper proposes a method to expand the hand tremor data set by Generative Adversarial Networks (GAN), extracts the characteristics of tremor data by Discrete Wavelet Transform-Singular Value Decomposition (DWT-SVD), and finally utilizes multiple classification by Support Vector Machine (SVM) to realize the detection of Parkinson's disease.
AB - Parkinson's disease (PD) is a common neurodegenerative disease, which threatens people's health seriously. Advanced artificial intelligence methods such as machine learning provide a new way for the diagnosis of PD, so it has become a hot topic of concern. This paper proposes a method to expand the hand tremor data set by Generative Adversarial Networks (GAN), extracts the characteristics of tremor data by Discrete Wavelet Transform-Singular Value Decomposition (DWT-SVD), and finally utilizes multiple classification by Support Vector Machine (SVM) to realize the detection of Parkinson's disease.
KW - Feature Extraction
KW - Generative Adversarial Networks
KW - Machine Learning
KW - Parkinson's Diagnosis
UR - https://www.scopus.com/pages/publications/85128057158
U2 - 10.1109/CAC53003.2021.9728408
DO - 10.1109/CAC53003.2021.9728408
M3 - 会议稿件
AN - SCOPUS:85128057158
T3 - Proceeding - 2021 China Automation Congress, CAC 2021
SP - 4105
EP - 4109
BT - Proceeding - 2021 China Automation Congress, CAC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 China Automation Congress, CAC 2021
Y2 - 22 October 2021 through 24 October 2021
ER -