Litcius/Paper detail

Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance

Ahmed W. Shehata, Heather E. Williams, Jacqueline S. Hebert, Patrick M. Pilarski

2021IEEE Signal Processing Magazine28 citationsDOI

Abstract

The human hand can perform many precise functions and is relied upon for countless aspects of daily life. When upperlimb amputation is necessitated, an affected individual's sense of independence is understandably impacted.

Topics & Concepts

Computer scienceArtificial limbsIndependence (probability theory)Control (management)Artificial intelligenceSense (electronics)Human–computer interactionPhysical medicine and rehabilitationEngineeringElectrical engineeringProsthesisMedicineMathematicsStatisticsMuscle activation and electromyography studiesEEG and Brain-Computer InterfacesNeuroscience and Neural Engineering
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