文件名称:
Quantification of Parkinsonian Bradykinesia Based on Axis-Angel Representation and SVM Multiclass Classification Method
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文件大小: 5mb
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上传时间: 2021-02-07
详细说明：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 grades of the 5-point clinical bradykinesia ratings. In this paper, an objective scoring method based on axis-angle representation and multi-class support vector machine (SVM) classi_er was employed to est
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