Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters
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- 作者：Yunfeng Wua ; b ; y.wu@ieee.org" class="auth_mail" title="E-mail the corresponding author ; Pinnan Chena ; Xin Luoa ; Meihong Wua ; Lifang Liaoa ; Shanshan Yanga ; Rangaraj M. Rangayyanc
- 关键词：Approximate entropy ; Gait analysis ; Generalized linear regression analysis ; Parkinson's disease ; Signal turns count ; Stride time ; Symbolic entropy
- 刊名：Biomedical Signal Processing and Control
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：31
- 期：Complete
- 页码：265-271
- 全文大小：1112 K
文摘
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Gait irregularity is measured by approximate entropy, symbolic entropy, and signal turns count.
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Generalized linear regression analysis and SVM are employed for gait pattern classifications.
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Cross-validation results are evaluated with Matthews correlation coefficient and ROC curve.