Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors

@inproceedings{Arjunan2010DecodingSF,
  title={Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors},
  author={Sridhar Poosapadi Arjunan and Dinesh Kant Kumar},
  booktitle={Journal of NeuroEngineering and Rehabilitation},
  year={2010}
}
Identifying finger and wrist flexion based actions using a single channel surface electromyogram (sEMG) can lead to a number of applications such as sEMG based controllers for near elbow amputees, human computer interface (HCI) devices for elderly and for defence personnel. These are currently infeasible because classification of sEMG is unreliable when the level of muscle contraction is low and there are multiple active muscles. The presence of noise and cross-talk from closely located and… CONTINUE READING
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