A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging—Simulations and Experimental Tests

The central nervous system coordinates movement through forces generated by motor units (MUs) in skeletal muscles. To analyze MUs function is essential in sports, rehabilitation medicine applications, and neuromuscular diagnostics. The MUs and their function are studied using electromyography. Typic...

Full description

Bibliographic Details
Main Authors: Robin Rohlen, Erik Stalberg, Karen-Helene Stoverud, Jun Yu, Christer Gronlund
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9032320/
id doaj-60debf6b0e8844e8a2e90721f08346c7
record_format Article
spelling doaj-60debf6b0e8844e8a2e90721f08346c72021-03-30T01:24:47ZengIEEEIEEE Access2169-35362020-01-018502995031110.1109/ACCESS.2020.29800539032320A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging—Simulations and Experimental TestsRobin Rohlen0https://orcid.org/0000-0003-4328-5467Erik Stalberg1https://orcid.org/0000-0003-0249-3921Karen-Helene Stoverud2https://orcid.org/0000-0002-3423-2083Jun Yu3https://orcid.org/0000-0001-5673-620XChrister Gronlund4https://orcid.org/0000-0003-4288-1208Department of Radiation Sciences, Biomedical Engineering, Umeå University, Umeå, Sweden2Department of Clinical Neurophysiology, Department of Neurosciences, University Hospital, Uppsala, SwedenDepartment of Radiation Sciences, Biomedical Engineering, Umeå University, Umeå, SwedenDepartment of Mathematics and Mathematical Statistics, Umeå University, Umeå, SwedenDepartment of Radiation Sciences, Biomedical Engineering, Umeå University, Umeå, SwedenThe central nervous system coordinates movement through forces generated by motor units (MUs) in skeletal muscles. To analyze MUs function is essential in sports, rehabilitation medicine applications, and neuromuscular diagnostics. The MUs and their function are studied using electromyography. Typically, these methods study only a small muscle volume (1 mm3) or only a superficial (<; 1 cm) volume of the muscle. Here we introduce a method to identify so-called mechanical units, i.e., the mechanical response of electrically active MUs, in the whole muscle (4 × 4 cm, cross-sectional) under voluntary contractions by ultrafast ultrasound imaging and spatiotemporal decomposition. We evaluate the performance of the method by simulation of active MUs' mechanical response under weak contractions. We further test the experimental feasibility on eight healthy subjects. We show the existence of mechanical units that contribute to the tissue dynamics in the biceps brachii at low force levels and that these units are similar to MUs described by electromyography with respect to the number of units, territory sizes, and firing rates. This study introduces a new potential neuromuscular functional imaging method, which could be used to study a variety of questions on muscle physiology that previously were difficult or not possible to address.https://ieeexplore.ieee.org/document/9032320/Biomedical engineeringblind source separationphysiologyultrasonic imaging
collection DOAJ
language English
format Article
sources DOAJ
author Robin Rohlen
Erik Stalberg
Karen-Helene Stoverud
Jun Yu
Christer Gronlund
spellingShingle Robin Rohlen
Erik Stalberg
Karen-Helene Stoverud
Jun Yu
Christer Gronlund
A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging—Simulations and Experimental Tests
IEEE Access
Biomedical engineering
blind source separation
physiology
ultrasonic imaging
author_facet Robin Rohlen
Erik Stalberg
Karen-Helene Stoverud
Jun Yu
Christer Gronlund
author_sort Robin Rohlen
title A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging—Simulations and Experimental Tests
title_short A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging—Simulations and Experimental Tests
title_full A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging—Simulations and Experimental Tests
title_fullStr A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging—Simulations and Experimental Tests
title_full_unstemmed A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging—Simulations and Experimental Tests
title_sort method for identification of mechanical response of motor units in skeletal muscle voluntary contractions using ultrafast ultrasound imaging—simulations and experimental tests
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description The central nervous system coordinates movement through forces generated by motor units (MUs) in skeletal muscles. To analyze MUs function is essential in sports, rehabilitation medicine applications, and neuromuscular diagnostics. The MUs and their function are studied using electromyography. Typically, these methods study only a small muscle volume (1 mm3) or only a superficial (<; 1 cm) volume of the muscle. Here we introduce a method to identify so-called mechanical units, i.e., the mechanical response of electrically active MUs, in the whole muscle (4 × 4 cm, cross-sectional) under voluntary contractions by ultrafast ultrasound imaging and spatiotemporal decomposition. We evaluate the performance of the method by simulation of active MUs' mechanical response under weak contractions. We further test the experimental feasibility on eight healthy subjects. We show the existence of mechanical units that contribute to the tissue dynamics in the biceps brachii at low force levels and that these units are similar to MUs described by electromyography with respect to the number of units, territory sizes, and firing rates. This study introduces a new potential neuromuscular functional imaging method, which could be used to study a variety of questions on muscle physiology that previously were difficult or not possible to address.
topic Biomedical engineering
blind source separation
physiology
ultrasonic imaging
url https://ieeexplore.ieee.org/document/9032320/
work_keys_str_mv AT robinrohlen amethodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
AT erikstalberg amethodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
AT karenhelenestoverud amethodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
AT junyu amethodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
AT christergronlund amethodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
AT robinrohlen methodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
AT erikstalberg methodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
AT karenhelenestoverud methodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
AT junyu methodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
AT christergronlund methodforidentificationofmechanicalresponseofmotorunitsinskeletalmusclevoluntarycontractionsusingultrafastultrasoundimagingx2014simulationsandexperimentaltests
_version_ 1724187140545314816