Literature DB >> 18003415

Simultaneous, proportional, multi-axis prosthesis control using multichannel surface EMG.

Dimitri Yatsenko1, Daniel McDonnall, K Shane Guillory.   

Abstract

Most upper limb prosthesis controllers only allow the individual selection and control of single joints of the limb. The main limiting factor for simultaneous multi-joint control is usually the availability of reliable independent control signals that can intuitively be used. In this paper, a novel method is presented for extraction of individual muscle source signals from surface EMG array recordings, based on EMG energy orthonormalization along principle movement vectors. In cases where independently-controllable muscles are present in residual limbs, this method can be used to provide simultaneous, multi-axis, proportional control of prosthetic systems. Initial results are presented for simultaneous control of wrist rotation, wrist flexion/extension, and grip open/close for two intact subjects under both isometric and non-isometric conditions and for one subject with transradial amputation.

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Year:  2007        PMID: 18003415     DOI: 10.1109/IEMBS.2007.4353749

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

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2.  Myoelectric Control System and Task-Specific Characteristics Affect Voluntary Use of Simultaneous Control.

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5.  Human-Machine Interface for the Control of Multi-Function Systems Based on Electrocutaneous Menu: Application to Multi-Grasp Prosthetic Hands.

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7.  Extra-neural signals from severed nerves enable intrinsic hand movements in transhumeral amputations.

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8.  The LET Procedure for Prosthetic Myocontrol: Towards Multi-DOF Control Using Single-DOF Activations.

Authors:  Markus Nowak; Claudio Castellini
Journal:  PLoS One       Date:  2016-09-08       Impact factor: 3.240

9.  Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity.

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Journal:  Sensors (Basel)       Date:  2020-03-13       Impact factor: 3.576

10.  Detection of Participation and Training Task Difficulty Applied to the Multi-Sensor Systems of Rehabilitation Robots.

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  10 in total

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