Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms

Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms

Abstract Background Compensatory movements are commonly employed by stroke survivors during seated reaching and may have negative effects on their long-term recovery. Detecting compensation is useful for coaching the patient to reduce compensatory trunk movements and improving the motor function of...

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Bibliographic Details
Main Authors: Siqi Cai, Guofeng Li, Xiaoya Zhang, Shuangyuan Huang, Haiqing Zheng, Ke Ma, Longhan Xie
Format: Article
Language:English
Published: BMC 2019-11-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Stroke
Reaching
Machine learning
Classification
Pressure
Online Access:http://link.springer.com/article/10.1186/s12984-019-0609-6

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