Research demonstrates methods to enhance myoelectric control in individuals with congenital limb differences, suggesting improved accuracy.
The limb position effect can be countered by training with multiple positions and including kinematic data. Multi-modal classifiers should be trained with a dynamic limb to achieve high accuracy with a minimal training burden. For the first time, these findings are presented for congenital limb differences. Finally, our open-source, automated device will help standardise datasets between laboratories, aiding the further development of robust and widespread myoelectric control.
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Overton et al. (2026) studied this question.
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