Recent Advances in EMG Pattern Recognition for Prosthetic Control (Editorial)

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AMERI A.; GHORBANI M.

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Journal: JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING Year:2020 | Volume:10 | Issue:2 Page(s): 129-130

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Title

Recent Advances in EMG Pattern Recognition for Prosthetic Control (Editorial)

Author(s)

AMERI A. | GHORBANI M. | Issue Writer Certificate

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Abstract

Limb loss results in significant debilitation and reduces the quality of life of the affected individuals [1]. To restore the lost limb’ s function, myoelectric systems have been widely used in powered prostheses [2]. With this approach, the motor intent is estimated from the electromyogram (EMG) signals recorded by electrodes which are placed on the skin surface above the residual muscles [1]. The principle of commercial myoelectric schemes has not changed in several decades, and is referred to as conventional control [2]. This technique uses a measure of amplitude (such as mean absolute value over a time window) of the EMG signals recorded by electrodes placed at two control sites, preferably over a pair of antagonist muscles of the residual limb, to control a single motion i. e. degree of freedom (DoF), for example hand opening closing [2]. To change the DoF, a mode switch is conducted by muscle co-contraction or a hardware switch [2]. The mode switch, however, results in an unnatural control of multiple DoFs [2]...

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APA: Copy

AMERI, A., & GHORBANI, M.. (2020). Recent Advances in EMG Pattern Recognition for Prosthetic Control (Editorial). JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, 10(2), 129-130. SID. https://sid.ir/paper/334747/en

Vancouver: Copy

AMERI A., GHORBANI M.. Recent Advances in EMG Pattern Recognition for Prosthetic Control (Editorial). JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING[Internet]. 2020;10(2):129-130. Available from: https://sid.ir/paper/334747/en

IEEE: Copy

A. AMERI, and M. GHORBANI, “Recent Advances in EMG Pattern Recognition for Prosthetic Control (Editorial),” JOURNAL OF BIOMEDICAL PHYSICS AND ENGINEERING, vol. 10, no. 2, pp. 129–130, 2020, [Online]. Available: https://sid.ir/paper/334747/en

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