Robust Identification of Motor Unit Discharges From High-Density Surface EMG in Dynamic Muscle Contractions of the Tibialis Anterior

Investigation of motor unit (MU) activity provides a fundamental information of neuromuscular control. High density surface electromyogram (HDsEMG) decomposition based on the blind source separation techniques (BSS) has been performed to estimate discharge patterns of MUs. The decomposition techniqu...

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Main Authors: Hikaru Yokoyama, Atsushi Sasaki, Naotsugu Kaneko, Akira Saito, Kimitaka Nakazawa
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9521540/
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spelling doaj-d34011eadeb54efa95371344b2d5d49f2021-09-14T23:00:32ZengIEEEIEEE Access2169-35362021-01-01912390112391110.1109/ACCESS.2021.31072839521540Robust Identification of Motor Unit Discharges From High-Density Surface EMG in Dynamic Muscle Contractions of the Tibialis AnteriorHikaru Yokoyama0https://orcid.org/0000-0001-6027-3869Atsushi Sasaki1Naotsugu Kaneko2Akira Saito3Kimitaka Nakazawa4Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, JapanDepartment of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, JapanDepartment of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, JapanCenter for Health and Sports Science, Kyushu Sangyo University, Fukuoka, JapanDepartment of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, JapanInvestigation of motor unit (MU) activity provides a fundamental information of neuromuscular control. High density surface electromyogram (HDsEMG) decomposition based on the blind source separation techniques (BSS) has been performed to estimate discharge patterns of MUs. The decomposition techniques for HDsEMG signals were initially proposed for isometric contractions. Recently, the decomposition methods have been utilized for non-isometric muscle contractions. However, what level of dynamic muscle contraction is acceptable for the EMG decomposition techniques is still an open research problem. Thus, in the present study, we investigated the robustness of the EMG decomposition method in dynamic muscle contractions in the tibialis anterior (TA) muscle using a validation method of EMG decomposition by convolving the synthetic MU spike trains with experimentally identified MU action potentials (MUAPs), which change depending on the ankle joint angle. We found that the decomposition accuracy for dynamic contractions with ankle range of motion (ROM) up to 20° was comparable to that during isometric contraction. When ankle ROM was larger than 20°, discontinuously identified (i.e., misidentified) spike timings of MUs due to joint angle changes was significantly larger than those during isometric contraction. However, rate of misidentification due to ankle joint angle change was still lower than 5% up to ankle ROM of 30°. Additionally, we found that increase of ankle ROM decreased total number of identified MUs. Based on the results, the conventional EMG decomposition method is probably applicable for dynamic contractions with ankle ROM of 30° in TA.https://ieeexplore.ieee.org/document/9521540/Muscleelectromyographymotor unitdynamic contractionblind source separation
collection DOAJ
language English
format Article
sources DOAJ
author Hikaru Yokoyama
Atsushi Sasaki
Naotsugu Kaneko
Akira Saito
Kimitaka Nakazawa
spellingShingle Hikaru Yokoyama
Atsushi Sasaki
Naotsugu Kaneko
Akira Saito
Kimitaka Nakazawa
Robust Identification of Motor Unit Discharges From High-Density Surface EMG in Dynamic Muscle Contractions of the Tibialis Anterior
IEEE Access
Muscle
electromyography
motor unit
dynamic contraction
blind source separation
author_facet Hikaru Yokoyama
Atsushi Sasaki
Naotsugu Kaneko
Akira Saito
Kimitaka Nakazawa
author_sort Hikaru Yokoyama
title Robust Identification of Motor Unit Discharges From High-Density Surface EMG in Dynamic Muscle Contractions of the Tibialis Anterior
title_short Robust Identification of Motor Unit Discharges From High-Density Surface EMG in Dynamic Muscle Contractions of the Tibialis Anterior
title_full Robust Identification of Motor Unit Discharges From High-Density Surface EMG in Dynamic Muscle Contractions of the Tibialis Anterior
title_fullStr Robust Identification of Motor Unit Discharges From High-Density Surface EMG in Dynamic Muscle Contractions of the Tibialis Anterior
title_full_unstemmed Robust Identification of Motor Unit Discharges From High-Density Surface EMG in Dynamic Muscle Contractions of the Tibialis Anterior
title_sort robust identification of motor unit discharges from high-density surface emg in dynamic muscle contractions of the tibialis anterior
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Investigation of motor unit (MU) activity provides a fundamental information of neuromuscular control. High density surface electromyogram (HDsEMG) decomposition based on the blind source separation techniques (BSS) has been performed to estimate discharge patterns of MUs. The decomposition techniques for HDsEMG signals were initially proposed for isometric contractions. Recently, the decomposition methods have been utilized for non-isometric muscle contractions. However, what level of dynamic muscle contraction is acceptable for the EMG decomposition techniques is still an open research problem. Thus, in the present study, we investigated the robustness of the EMG decomposition method in dynamic muscle contractions in the tibialis anterior (TA) muscle using a validation method of EMG decomposition by convolving the synthetic MU spike trains with experimentally identified MU action potentials (MUAPs), which change depending on the ankle joint angle. We found that the decomposition accuracy for dynamic contractions with ankle range of motion (ROM) up to 20° was comparable to that during isometric contraction. When ankle ROM was larger than 20°, discontinuously identified (i.e., misidentified) spike timings of MUs due to joint angle changes was significantly larger than those during isometric contraction. However, rate of misidentification due to ankle joint angle change was still lower than 5% up to ankle ROM of 30°. Additionally, we found that increase of ankle ROM decreased total number of identified MUs. Based on the results, the conventional EMG decomposition method is probably applicable for dynamic contractions with ankle ROM of 30° in TA.
topic Muscle
electromyography
motor unit
dynamic contraction
blind source separation
url https://ieeexplore.ieee.org/document/9521540/
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