Classification of rhythmic locomotor patterns in electromyographic signals using fuzzy sets

@inproceedings{Thrasher2011ClassificationOR,
  title={Classification of rhythmic locomotor patterns in electromyographic signals using fuzzy sets},
  author={Timothy A. Thrasher and John Stanley Ward and Stanley P. Fisher},
  booktitle={Journal of NeuroEngineering and Rehabilitation},
  year={2011}
}
Locomotor control is accomplished by a complex integration of neural mechanisms including a central pattern generator, spinal reflexes and supraspinal control centres. Patterns of muscle activation during walking exhibit an underlying structure in which groups of muscles seem to activate in united bursts. Presented here is a statistical approach for analyzing Surface Electromyography (SEMG) data with the goal of classifying rhythmic "burst" patterns that are consistent with a central pattern… CONTINUE READING
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