Corpus ID: 67856698

Pragmatic classification of movement primitives for stroke rehabilitation

@article{Parnandi2019PragmaticCO,
  title={Pragmatic classification of movement primitives for stroke rehabilitation},
  author={Avinash Parnandi and J. Uddin and Dawn Nilsen and Heidi M. Schambra},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.08697}
}

Avinash Parnandi, J. Uddin, +1 author Heidi M. Schambra

Published 2019

Computer Science, Mathematics

ArXiv

Rehabilitation training is the primary intervention to improve motor recovery after stroke, but a tool to measure functional training does not currently exist. To bridge this gap, we previously developed an approach to classify functional movement primitives using wearable sensors and a machine learning (ML) algorithm. We found that this approach had encouraging classification performance but had computational and practical limitations, such as training time, sensor cost, and magnetic drift… CONTINUE READING

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