An EMG-Assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities: Towards a Rapid Assessment Toolbox

Research output: Contribution to journalJournal articleResearchpeer-review

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An EMG-Assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities : Towards a Rapid Assessment Toolbox. / Esrafilian, Amir; Stenroth, Lauri; Mononen, Mika E.; Vartiainen, Paavo; Tanska, Petri; Karjalainen, Pasi A.; Suomalainen, Juha Sampo; Arokoski, J.; Saxby, David J.; Lloyd, David G.; Korhonen, Rami K.

In: IEEE Transactions on Biomedical Engineering, Vol. 69, No. 9, 01.09.2022, p. 2860-2871.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Esrafilian, A, Stenroth, L, Mononen, ME, Vartiainen, P, Tanska, P, Karjalainen, PA, Suomalainen, JS, Arokoski, J, Saxby, DJ, Lloyd, DG & Korhonen, RK 2022, 'An EMG-Assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities: Towards a Rapid Assessment Toolbox', IEEE Transactions on Biomedical Engineering, vol. 69, no. 9, pp. 2860-2871. https://doi.org/10.1109/TBME.2022.3156018

APA

Esrafilian, A., Stenroth, L., Mononen, M. E., Vartiainen, P., Tanska, P., Karjalainen, P. A., Suomalainen, J. S., Arokoski, J., Saxby, D. J., Lloyd, D. G., & Korhonen, R. K. (2022). An EMG-Assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities: Towards a Rapid Assessment Toolbox. IEEE Transactions on Biomedical Engineering, 69(9), 2860-2871. https://doi.org/10.1109/TBME.2022.3156018

Vancouver

Esrafilian A, Stenroth L, Mononen ME, Vartiainen P, Tanska P, Karjalainen PA et al. An EMG-Assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities: Towards a Rapid Assessment Toolbox. IEEE Transactions on Biomedical Engineering. 2022 Sep 1;69(9):2860-2871. https://doi.org/10.1109/TBME.2022.3156018

Author

Esrafilian, Amir ; Stenroth, Lauri ; Mononen, Mika E. ; Vartiainen, Paavo ; Tanska, Petri ; Karjalainen, Pasi A. ; Suomalainen, Juha Sampo ; Arokoski, J. ; Saxby, David J. ; Lloyd, David G. ; Korhonen, Rami K. / An EMG-Assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities : Towards a Rapid Assessment Toolbox. In: IEEE Transactions on Biomedical Engineering. 2022 ; Vol. 69, No. 9. pp. 2860-2871.

Bibtex

@article{0c6541360b2b48b29f7ca4332210be18,
title = "An EMG-Assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities: Towards a Rapid Assessment Toolbox",
abstract = "Joint tissue mechanics (e.g., stress and strain) are believed to have a major involvement in the onset and progression of musculoskeletal disorders, e.g., knee osteoarthritis (KOA). Accordingly, considerable efforts have been made to develop musculoskeletal finite element (MS-FE) models to estimate highly detailed tissue mechanics that predict cartilage degeneration. However, creating such models is time-consuming and requires advanced expertise. This limits these complex, yet promising, MS-FE models to research applications with few participants and makes the models impractical for clinical assessments. Also, these previously developed MS-FE models have not been used to assess activities other than gait. This study introduces and verifies a semi-automated rapid state-of-the-art MS-FE modeling and simulation toolbox incorporating an electromyography- (EMG) assisted MS model and a muscle-force driven FE model of the knee with fibril-reinforced poro(visco)elastic cartilages and menisci. To showcase the usability of the pipeline, we estimated joint- and tissue-level knee mechanics in 15 KOA individuals performing different daily activities. The pipeline was verified by comparing the estimated muscle activations and joint mechanics to existing experimental data. To determine the importance of the EMG-assisted MS analysis approach, results were compared to those from the same FE models but driven by static-optimization-based MS models. The EMG-assisted MS-FE pipeline bore a closer resemblance to experiments compared to the static-optimization-based MS-FE pipeline. Importantly, the developed pipeline showed great potential as a rapid MS-FE analysis toolbox to investigate multiscale knee mechanics during different activities of individuals with KOA. ",
keywords = "daily activities, electromyography, finite element analysis, Knee osteoarthritis, musculoskeletal modeling, rapid multiscale modeling",
author = "Amir Esrafilian and Lauri Stenroth and Mononen, {Mika E.} and Paavo Vartiainen and Petri Tanska and Karjalainen, {Pasi A.} and Suomalainen, {Juha Sampo} and J. Arokoski and Saxby, {David J.} and Lloyd, {David G.} and Korhonen, {Rami K.}",
note = "Publisher Copyright: {\textcopyright} 1964-2012 IEEE.",
year = "2022",
month = sep,
day = "1",
doi = "10.1109/TBME.2022.3156018",
language = "English",
volume = "69",
pages = "2860--2871",
journal = "IEEE Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "Institute of Electrical and Electronics Engineers",
number = "9",

}

RIS

TY - JOUR

T1 - An EMG-Assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities

T2 - Towards a Rapid Assessment Toolbox

AU - Esrafilian, Amir

AU - Stenroth, Lauri

AU - Mononen, Mika E.

AU - Vartiainen, Paavo

AU - Tanska, Petri

AU - Karjalainen, Pasi A.

AU - Suomalainen, Juha Sampo

AU - Arokoski, J.

AU - Saxby, David J.

AU - Lloyd, David G.

AU - Korhonen, Rami K.

N1 - Publisher Copyright: © 1964-2012 IEEE.

PY - 2022/9/1

Y1 - 2022/9/1

N2 - Joint tissue mechanics (e.g., stress and strain) are believed to have a major involvement in the onset and progression of musculoskeletal disorders, e.g., knee osteoarthritis (KOA). Accordingly, considerable efforts have been made to develop musculoskeletal finite element (MS-FE) models to estimate highly detailed tissue mechanics that predict cartilage degeneration. However, creating such models is time-consuming and requires advanced expertise. This limits these complex, yet promising, MS-FE models to research applications with few participants and makes the models impractical for clinical assessments. Also, these previously developed MS-FE models have not been used to assess activities other than gait. This study introduces and verifies a semi-automated rapid state-of-the-art MS-FE modeling and simulation toolbox incorporating an electromyography- (EMG) assisted MS model and a muscle-force driven FE model of the knee with fibril-reinforced poro(visco)elastic cartilages and menisci. To showcase the usability of the pipeline, we estimated joint- and tissue-level knee mechanics in 15 KOA individuals performing different daily activities. The pipeline was verified by comparing the estimated muscle activations and joint mechanics to existing experimental data. To determine the importance of the EMG-assisted MS analysis approach, results were compared to those from the same FE models but driven by static-optimization-based MS models. The EMG-assisted MS-FE pipeline bore a closer resemblance to experiments compared to the static-optimization-based MS-FE pipeline. Importantly, the developed pipeline showed great potential as a rapid MS-FE analysis toolbox to investigate multiscale knee mechanics during different activities of individuals with KOA.

AB - Joint tissue mechanics (e.g., stress and strain) are believed to have a major involvement in the onset and progression of musculoskeletal disorders, e.g., knee osteoarthritis (KOA). Accordingly, considerable efforts have been made to develop musculoskeletal finite element (MS-FE) models to estimate highly detailed tissue mechanics that predict cartilage degeneration. However, creating such models is time-consuming and requires advanced expertise. This limits these complex, yet promising, MS-FE models to research applications with few participants and makes the models impractical for clinical assessments. Also, these previously developed MS-FE models have not been used to assess activities other than gait. This study introduces and verifies a semi-automated rapid state-of-the-art MS-FE modeling and simulation toolbox incorporating an electromyography- (EMG) assisted MS model and a muscle-force driven FE model of the knee with fibril-reinforced poro(visco)elastic cartilages and menisci. To showcase the usability of the pipeline, we estimated joint- and tissue-level knee mechanics in 15 KOA individuals performing different daily activities. The pipeline was verified by comparing the estimated muscle activations and joint mechanics to existing experimental data. To determine the importance of the EMG-assisted MS analysis approach, results were compared to those from the same FE models but driven by static-optimization-based MS models. The EMG-assisted MS-FE pipeline bore a closer resemblance to experiments compared to the static-optimization-based MS-FE pipeline. Importantly, the developed pipeline showed great potential as a rapid MS-FE analysis toolbox to investigate multiscale knee mechanics during different activities of individuals with KOA.

KW - daily activities

KW - electromyography

KW - finite element analysis

KW - Knee osteoarthritis

KW - musculoskeletal modeling

KW - rapid multiscale modeling

UR - http://www.scopus.com/inward/record.url?scp=85125706743&partnerID=8YFLogxK

U2 - 10.1109/TBME.2022.3156018

DO - 10.1109/TBME.2022.3156018

M3 - Journal article

C2 - 35239473

AN - SCOPUS:85125706743

VL - 69

SP - 2860

EP - 2871

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

SN - 0018-9294

IS - 9

ER -

ID: 319253917