Heather E. Williams

This paper introduces a new set of evaluation metrics for myoelectric prosthesis controllers and demonstrates their use in comparing deep learning and traditional controllers.

This paper develops and tests RCNN-based controllers for myoelectric prostheses to mitigate the limb position effect, showing improved performance over traditional methods in multiple metrics.

This study validates the GaMA protocol's reproducibility across different sites and technologies for assessing visuomotor upper limb function in non-disabled participants.