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Intramuscular EMG-driven Musculoskeletal Modelling: Towards Implanted Muscle Interfacing in Spinal Cord Injury Patients

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Název: Intramuscular EMG-driven Musculoskeletal Modelling: Towards Implanted Muscle Interfacing in Spinal Cord Injury Patients
Autoři: Jung, Moon Ki, Muceli, Silvia, 1981, Rodrigues, Camila, Megia-Garcia, Alvaro, Pascual-Valdunciel, Alejandro, Del-Ama, António, Gil-Agudo, Ángel, Moreno, Juan, Barroso, Filipe O., Pons, Jose L., Farina, Dario
Zdroj: IEEE Transactions on Biomedical Engineering. 69(1):63-74
Témata: assistive technology, Muscles, Electrodes, Legged locomotion, EMG driven modelling, Kinematics, musculoskeletal model, Electromyography, Torque, spinal cord injury, human-machine interface, Wires, electromyography
Popis: Objective: Surface EMG-driven modelling has been proposed as a means to control assistive devices by estimating joint torques. Implanted EMG sensors have several advantages over wearable sensors but provide a more localized information on muscle activity, which may impact torque estimates. Here, we tested and compared the use of surface and intramuscular EMG measurements for the estimation of required assistive joint torques using EMG driven modelling. Methods: Four healthy subjects and three incomplete spinal cord injury (SCI) patients performed walking trials at varying speeds. Motion capture marker trajectories, surface and intramuscular EMG, and ground reaction forces were measured concurrently. Subject-specific musculoskeletal models were developed for all subjects, and inverse dynamics analysis was performed for all individual trials. EMG-driven modelling based joint torque estimates were obtained from surface and intramuscular EMG. Results: The correlation between the experimental and predicted joint torques was similar when using intramuscular or surface EMG as input to the EMG-driven modelling estimator in both healthy individuals and patients. Conclusion: We have provided the first comparison of non-invasive and implanted EMG sensors as input signals for torque estimates in healthy individuals and SCI patients. Significance: Implanted EMG sensors have the potential to be used as a reliable input for assistive exoskeleton joint torque actuation.
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Přístupová URL adresa: https://research.chalmers.se/publication/525187
https://research.chalmers.se/publication/525187/file/525187_Fulltext.pdf
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Items – Name: Title
  Label: Title
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  Data: Intramuscular EMG-driven Musculoskeletal Modelling: Towards Implanted Muscle Interfacing in Spinal Cord Injury Patients
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  Data: <searchLink fieldCode="AR" term="%22Jung%2C+Moon+Ki%22">Jung, Moon Ki</searchLink><br /><searchLink fieldCode="AR" term="%22Muceli%2C+Silvia%22">Muceli, Silvia</searchLink>, 1981<br /><searchLink fieldCode="AR" term="%22Rodrigues%2C+Camila%22">Rodrigues, Camila</searchLink><br /><searchLink fieldCode="AR" term="%22Megia-Garcia%2C+Alvaro%22">Megia-Garcia, Alvaro</searchLink><br /><searchLink fieldCode="AR" term="%22Pascual-Valdunciel%2C+Alejandro%22">Pascual-Valdunciel, Alejandro</searchLink><br /><searchLink fieldCode="AR" term="%22Del-Ama%2C+António%22">Del-Ama, António</searchLink><br /><searchLink fieldCode="AR" term="%22Gil-Agudo%2C+Ángel%22">Gil-Agudo, Ángel</searchLink><br /><searchLink fieldCode="AR" term="%22Moreno%2C+Juan%22">Moreno, Juan</searchLink><br /><searchLink fieldCode="AR" term="%22Barroso%2C+Filipe+O%2E%22">Barroso, Filipe O.</searchLink><br /><searchLink fieldCode="AR" term="%22Pons%2C+Jose+L%2E%22">Pons, Jose L.</searchLink><br /><searchLink fieldCode="AR" term="%22Farina%2C+Dario%22">Farina, Dario</searchLink>
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  Data: <i>IEEE Transactions on Biomedical Engineering</i>. 69(1):63-74
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22assistive+technology%22">assistive technology</searchLink><br /><searchLink fieldCode="DE" term="%22Muscles%22">Muscles</searchLink><br /><searchLink fieldCode="DE" term="%22Electrodes%22">Electrodes</searchLink><br /><searchLink fieldCode="DE" term="%22Legged+locomotion%22">Legged locomotion</searchLink><br /><searchLink fieldCode="DE" term="%22EMG+driven+modelling%22">EMG driven modelling</searchLink><br /><searchLink fieldCode="DE" term="%22Kinematics%22">Kinematics</searchLink><br /><searchLink fieldCode="DE" term="%22musculoskeletal+model%22">musculoskeletal model</searchLink><br /><searchLink fieldCode="DE" term="%22Electromyography%22">Electromyography</searchLink><br /><searchLink fieldCode="DE" term="%22Torque%22">Torque</searchLink><br /><searchLink fieldCode="DE" term="%22spinal+cord+injury%22">spinal cord injury</searchLink><br /><searchLink fieldCode="DE" term="%22human-machine+interface%22">human-machine interface</searchLink><br /><searchLink fieldCode="DE" term="%22Wires%22">Wires</searchLink><br /><searchLink fieldCode="DE" term="%22electromyography%22">electromyography</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Objective: Surface EMG-driven modelling has been proposed as a means to control assistive devices by estimating joint torques. Implanted EMG sensors have several advantages over wearable sensors but provide a more localized information on muscle activity, which may impact torque estimates. Here, we tested and compared the use of surface and intramuscular EMG measurements for the estimation of required assistive joint torques using EMG driven modelling. Methods: Four healthy subjects and three incomplete spinal cord injury (SCI) patients performed walking trials at varying speeds. Motion capture marker trajectories, surface and intramuscular EMG, and ground reaction forces were measured concurrently. Subject-specific musculoskeletal models were developed for all subjects, and inverse dynamics analysis was performed for all individual trials. EMG-driven modelling based joint torque estimates were obtained from surface and intramuscular EMG. Results: The correlation between the experimental and predicted joint torques was similar when using intramuscular or surface EMG as input to the EMG-driven modelling estimator in both healthy individuals and patients. Conclusion: We have provided the first comparison of non-invasive and implanted EMG sensors as input signals for torque estimates in healthy individuals and SCI patients. Significance: Implanted EMG sensors have the potential to be used as a reliable input for assistive exoskeleton joint torque actuation.
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  Data: electronic
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TBME.2021.3087137
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 63
    Subjects:
      – SubjectFull: assistive technology
        Type: general
      – SubjectFull: Muscles
        Type: general
      – SubjectFull: Electrodes
        Type: general
      – SubjectFull: Legged locomotion
        Type: general
      – SubjectFull: EMG driven modelling
        Type: general
      – SubjectFull: Kinematics
        Type: general
      – SubjectFull: musculoskeletal model
        Type: general
      – SubjectFull: Electromyography
        Type: general
      – SubjectFull: Torque
        Type: general
      – SubjectFull: spinal cord injury
        Type: general
      – SubjectFull: human-machine interface
        Type: general
      – SubjectFull: Wires
        Type: general
      – SubjectFull: electromyography
        Type: general
    Titles:
      – TitleFull: Intramuscular EMG-driven Musculoskeletal Modelling: Towards Implanted Muscle Interfacing in Spinal Cord Injury Patients
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            NameFull: Jung, Moon Ki
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              Y: 2022
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