University of Oulu

Krista Kauppi et al, J. Innov. Opt. Health Sci. 10, 1650056 (2017) [13 pages] DOI: http://dx.doi.org/10.1142/S1793545816500565

Combined surface electromyography, near-infrared spectroscopy and acceleration recordings of muscle contraction : the effect of motion

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Author: Kauppi, Krista1; Korhonen, Vesa2; Ferdinando, Hany3;
Organizations: 1Department of Medical Technology University of Oulu, Oulu, 90014, Finland
2Department of Diagnostic Radiology Medical Research Center, Oulu University Hospital Research Unit of Medical Imaging, Physics and Technology Faculty of Medicine, University of Oulu P. O. Box 50, Oulu, 90029 OYS, Finland
3Health & Wellness Measurements Group Optoelectronics and Measurement Techniques Unit University of Oulu, Oulu, 90014, Finland
4Department of Clinical Neurophysiology Medical Research Center, Oulu University Hospital Research Unit of Medical Imaging, Physics and Technology Faculty of Medicine, University of Oulu P. O. Box 50, Oulu, 90029 OYS, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe201705226748
Language: English
Published: World Scientific, 2017
Publish Date: 2017-05-22
Description:

Abstract

Noninvasive techniques, surface electromyography (sEMG) in particular, are being increasingly employed for assessing muscle activity. In these studies, local oxygen consumption and muscle metabolism are of great interest. Measurements can be performed noninvasively using optics-based methods such as near-infrared spectroscopy (NIRS). By combining energy consumption data provided by NIRS with muscle level activation data from sEMG, we may gain an insight into the metabolic and functional characteristics of muscle tissue. However, muscle motion may induce artifacts into EMG and NIRS. Thus, the inclusion of simultaneous motion measurements using accelerometers (ACMs) enhances possibilities to perceive the effects of motion on NIRS and EMG signals.

This paper reviews the current state of noninvasive EMG and NIRS-based methods used to study muscle function. In addition, we built a combined sEMG/NIRS/ACM sensor to perform simultaneous measurements for static and dynamic exercises of a biceps brachii muscle. Further, we discuss the effect of muscle motion in response of NIRS and EMG when measured noninvasively. Based on our preliminary studies, both NIRS and EMG supply specific information on muscle activation, but their signal responses also showed similarities with acceleration signals which, in this case, were supposed to be solely sensitive to motions.

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Series: Journal of innovative optical health sciences
ISSN: 1793-5458
ISSN-E: 1793-7205
ISSN-L: 1793-5458
Volume: 10
Issue: 2
Article number: 1650056
DOI: 10.1142/S1793545816500565
OADOI: https://oadoi.org/10.1142/S1793545816500565
Type of Publication: A1 Journal article – refereed
Field of Science: 217 Medical engineering
Subjects:
Copyright information: © The Author(s) This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC-BY) License. Further distribution of this work is permitted, provided the original work is properly cited.
  https://creativecommons.org/licenses/by/4.0/