Toward modeling locomotion using electromyography-informed 3D models: application to cerebral palsy

Sartori, M., Fernandez, J. W., Modenese, L., Carty, C. P., Barber, L. A., Oberhofer, K., Zhang, J., Handsfield, G. G., Stott, N. S., Besier, T. F., Farina, D. and Lloyd, D. G. (2017) Toward modeling locomotion using electromyography-informed 3D models: application to cerebral palsy. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 9 2: e1368. doi:10.1002/wsbm.1368

Author Sartori, M.
Fernandez, J. W.
Modenese, L.
Carty, C. P.
Barber, L. A.
Oberhofer, K.
Zhang, J.
Handsfield, G. G.
Stott, N. S.
Besier, T. F.
Farina, D.
Lloyd, D. G.
Title Toward modeling locomotion using electromyography-informed 3D models: application to cerebral palsy
Journal name Wiley Interdisciplinary Reviews: Systems Biology and Medicine   Check publisher's open access policy
ISSN 1939-005X
Publication date 2017-03-01
Sub-type Article (original research)
DOI 10.1002/wsbm.1368
Open Access Status Not yet assessed
Volume 9
Issue 2
Start page e1368
Total pages 23
Place of publication Hoboken, NJ, United States
Publisher John Wiley & Sons
Language eng
Subject 2701 Medicine (miscellaneous)
1301 Biochemistry, Genetics and Molecular Biology (miscellaneous)
Abstract This position paper proposes a modeling pipeline to develop clinically relevant neuromusculoskeletal models to understand and treat complex neurological disorders. Although applicable to a variety of neurological conditions, we provide direct pipeline applicative examples in the context of cerebral palsy (CP). This paper highlights technologies in: (1) patient-specific segmental rigid body models developed from magnetic resonance imaging for use in inverse kinematics and inverse dynamics pipelines; (2) efficient population-based approaches to derive skeletal models and muscle origins/insertions that are useful for population statistics and consistent creation of continuum models; (3) continuum muscle descriptions to account for complex muscle architecture including spatially varying material properties with muscle wrapping; (4) muscle and tendon properties specific to CP; and (5) neural-based electromyography-informed methods for muscle force prediction. This represents a novel modeling pipeline that couples for the first time electromyography extracted features of disrupted neuromuscular behavior with advanced numerical methods for modeling CP-specific musculoskeletal morphology and function. The translation of such pipeline to the clinical level will provide a new class of biomarkers that objectively describe the neuromusculoskeletal determinants of pathological locomotion and complement current clinical assessment techniques, which often rely on subjective judgment. WIREs Syst Biol Med 2017, 9:e1368. doi: 10.1002/wsbm.1368. For further resources related to this article, please visit the WIREs website.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
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Child Health Research Centre Publications
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