The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

Farina, Dario; Jiang, Ning; Rehbaum, Hubertus; Holobar, Aleš; Graimann, Bernhard; Dietl, Hans; C. Aszmann, Oskar

doi:10.1109/tnsre.2014.2305111

Public

The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

Published in IEEE Transactions on Neural Systems and Rehabilitation Engineering • Feb 11, 2014

Authors:

Dario Farina

Ning Jiang

Hubertus Rehbaum

Abstract

Despite not recording directly from neural cells, the surface electromyogram (EMG) signal contains information on the neural drive to muscles, i.e., the spike trains of motor neurons. Using this property, myoelectric control consists of the recording of EMG signals for extracting control signals to ...

Subject

Computer science

Neuroprosthetics

Robustness (evolution)

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