Corpus ID: 67856698

Pragmatic classification of movement primitives for stroke rehabilitation

  title={Pragmatic classification of movement primitives for stroke rehabilitation},
  author={Avinash Parnandi and J. Uddin and Dawn Nilsen and Heidi M. Schambra},
  • 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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