Quantification of Parkinsonian Bradykinesia Based on Axis-Angle Representation and SVM Multiclass Classification Method

Quantification of Parkinsonian Bradykinesia Based on Axis-Angle Representation and SVM Multiclass Classification Method

Accurate evaluation of bradykinesia plays a crucial role in the diagnosis and therapy effect of Parkinson's disease. However, the subjective assessment shows low consistency among different evaluators, and the objective sensor-based methods cannot accurately distinguish patients with different...

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Bibliographic Details
Main Authors: Zhirong Lin, Yongsheng Xiong, Guoen Cai, Houde Dai, Xuke Xia, Yandan Tan, Tim C. Lueth
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Parkinsonian bradykinesia
support vector machine (SVM)
quantification
wearable device
sensor fusion
Online Access:https://ieeexplore.ieee.org/document/8357883/

Internet

https://ieeexplore.ieee.org/document/8357883/

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