Refined myoelectric control in below-elbow amputees using artificial neural networks and a data glove.

@article{Sebelius2005RefinedMC,
  title={Refined myoelectric control in below-elbow amputees using artificial neural networks and a data glove.},
  author={Fredrik Sebelius and Birgitta N Ros{\'e}n and G{\"o}ran Lundborg},
  journal={The Journal of hand surgery},
  year={2005},
  volume={30 4},
  pages={780-9}
}
PURPOSE To develop a system for refined motor control of artificial hands based on multiple electromyographic (EMG) recordings, allowing multiple patterns of hand movements. METHODS Five subjects with traumatic below-elbow amputations and 1 subject with a congenital below- elbow failure of formation performed 10 imaginary movements with their phantom hand while surface electrodes recorded the EMG data. In a training phase a data glove with 18 degrees of freedom was used for positional… CONTINUE READING
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