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iEMG: Imaging Electromyography

Urbanek, Holger and van der Smagt, Patrick (2016) iEMG: Imaging Electromyography. Journal of Electromyography and Kinesiology (27), pp. 1-9. Elsevier. DOI: 10.1016/j.jelekin.2016.01.001 ISSN 1050-6411

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Abstract

Advanced data analysis and visualization methodologies have played an important role in making surface electromyography both a valuable diagnostic methodology of neuromuscular disorders and a robust brain-machine interface, usable as a simple interface for prosthesis control, arm movement analysis, stiffness control, gait analysis, etc. But for diagnostic purposes, as well as for interfaces where the activation of single muscles is of interest, surface EMG suffers from severe crosstalk between deep and superficial muscle activation, making the reliable detection of the source of the signal, as well as reliable quantification of deeper muscle activation, prohibitively difficult. To address these issues we present a novel approach for processing surface electromyographic data. Our approach enables the reconstruction of 3D muscular activity location, making the depth of muscular activity directly visible. This is even possible when deep muscles are overlaid with superficial muscles, such as seen in the human forearm. The method, which we call imaging EMG (iEMG), is based on using the crosstalk between a sufficiently large number of surface electromyographic electrodes to reconstruct the 3D generating electrical potential distribution within a given area. Our results are validated by in vivo measurements of iEMG and ultrasound on the human forearm.

Item URL in elib:https://elib.dlr.de/106466/
Document Type:Article
Title:iEMG: Imaging Electromyography
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Urbanek, HolgerHolger.Urbanek (at) dlr.deUNSPECIFIED
van der Smagt, PatrickTechnische Universität MünchenUNSPECIFIED
Date:April 2016
Journal or Publication Title:Journal of Electromyography and Kinesiology
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1016/j.jelekin.2016.01.001
Page Range:pp. 1-9
Publisher:Elsevier
ISSN:1050-6411
Status:Published
Keywords:CMG; Cross talk; EMG Array; Imaging EMG; MAI; Source reconstruction; iEMG; sEMG
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben Intelligente Mobilität
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Deposited By: Urbanek, Holger
Deposited On:04 Nov 2016 13:40
Last Modified:06 Sep 2019 15:27

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