Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Estimating Muscle Forces in Patients With Cerebral Palsy During Walking Using Static Optimization and Computed Muscle Control
Date
2025-12-01
Author
Kidwai, Alina Nawab
Atmaca, Kerim
Tönük, Ergin
Arslan, Yunus Ziya
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
76
views
0
downloads
Cite This
Cerebral palsy (CP) is a group of neurological disorders that presents significant challenges for clinical rehabilitation. While muscle forces could aid clinical decision-making, direct in vivo measurement is infeasible and ethically questionable. Consequently, model-based methods such as static optimization (SO) and computed muscle control (CMC) have gained attention. Although SO and CMC have been compared for healthy individuals, it remains uncertain whether one approach yields more accurate predictions across varying severities of crouch gait in CP. We evaluated SO and CMC using opensim to estimate muscle forces and activations from an openly available dataset with delineations based on crouch severity. Predicted muscle activations were validated against experimental electromyography data using Spearman's rank correlation coefficients (ρ) and root-mean-squared error (RMSE), while joint moment tracking was assessed using reserve moments. A sensitivity analysis was conducted to examine the influence of tendon slack length on force predictions. Results showed that while CMC predicted generally higher muscle forces than SO, both methods yielded variable ρ values (-0.7 to 0.9) and RMSEs (0.14 to 0.7) across muscle groups and crouch severities. ρSO was significantly higher than ρCMC for the medial hamstrings, and crouch severity significantly influenced the ρ difference between methods for the lateral hamstrings and rectus femoris. However, RMSEs did not consistently reflect these trends. CMC was more sensitive to tendon slack length variations. Overall, neither method currently provides sufficiently validated muscle force estimates for clinical application in CP, emphasizing the need for further methodological refinement.
Subject Keywords
cerebral palsy
,
computed muscle control
,
crouch gait
,
muscle force prediction
,
static optimization
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105020946401&origin=inward
https://hdl.handle.net/11511/116736
Journal
Journal of biomechanical engineering
DOI
https://doi.org/10.1115/1.4070037
Collections
Department of Mechanical Engineering, Article
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. N. Kidwai, K. Atmaca, E. Tönük, and Y. Z. Arslan, “Estimating Muscle Forces in Patients With Cerebral Palsy During Walking Using Static Optimization and Computed Muscle Control,”
Journal of biomechanical engineering
, vol. 147, no. 12, pp. 0–0, 2025, Accessed: 00, 2025. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105020946401&origin=inward.