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Physical and engineering sciences in medicine
Mar, 2021;44 (1): 243-251.

Determination of the correlation between muscle forces obtained from OpenSim and muscle activities obtained from electromyography in the elderly.

Mohammad T Karimi, Fatemeh Hemmati, Mohammad A Mardani, Keyvan Sharifmoradi, Seyed Iman Hosseini, Reza Fadayevatan, Amir Esrafilian
Author Information
  1. Mohammad T Karimi: Rehabilitation Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
  2. Fatemeh Hemmati: Orthotics and Prosthetics Department, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran. fatemehemati97@gmail.com.
  3. Mohammad A Mardani: Orthotics and Prosthetics Department, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
  4. Keyvan Sharifmoradi: Department of Physical Education, University of Kashan, Kashan, Iran.
  5. Seyed Iman Hosseini: Department of Mechanical and Aerospace Engineering, Shiraz University of Technology, Shiraz, Iran.
  6. Reza Fadayevatan: Ageing Department, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
  7. Amir Esrafilian: Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
PMID: 33559039 DOI: 10.1007/s13246-021-00973-9

Abstract

Measurement of muscle forces related to aging can help to better identify the gait impairment mechanisms in the elderly. To this end, musculoskeletal modeling has been developed to estimate muscle forces. This study aimed to check the validity of OpenSim modeling (i.e., computed muscle control) approach in elderly subjects. Kinematic and kinetic data and Electromyography (EMG) signals for four different muscles were collected in nine healthy elderly males during walking. Dynamic simulation was done within OpenSim. Correlation analysis was performed to quantitatively compare the maximum estimated muscle forces with maximum measured muscle activities during the first double limb support, single limb support, and the second double limb support phases. The area-time plots of OpenSim and EMG data during gait cycle were obtained for qualitative assessment. In quantitative assessment, a low to moderate correlation was observed for the peak of muscle force and muscle activation of four muscles during sub phases of gait. The muscle forces pattern from OpenSim was found to be relatively similar to the muscle activity pattern from EMG especially for Gastrocnemius Medialis. A low to moderate consistency between OpenSim and EMG in the elderly can be explained by using a single mathematical estimation approach.

Keywords

Electromyography Muscle force Musculoskeletal modeling Older people OpenSim Validation

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MeSH Term

Aged
Biomechanical Phenomena
Electromyography
Gait
Humans
Male
Muscle, Skeletal
Walking
Journal Article

Word Cloud

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