Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Synthesis of Subject-Specific Human Balance Responses using a Task-Level Neuromuscular Control Platform

Mansouri, MB, Vivaldi, NA, Donnelly, CJ, Robinson, MA, Vanrenterghem, J and Reinbolt, JA (2018) Synthesis of Subject-Specific Human Balance Responses using a Task-Level Neuromuscular Control Platform. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26 (4). pp. 865-873. ISSN 1558-0210

Mansouri 2018 Subject-Specific Human Balance Responses.pdf - Accepted Version

Download (4MB) | Preview


Many activities of daily living require a high level of neuromuscular coordination and balance control to avoid falls. Complex musculoskeletal models paired with detailed neuromuscular simulations complement experimental studies and uncover principles of coordinated and uncoordinated movements. Here, we created a closed-loop forward dynamic simulation framework that utilizes a detailed musculoskeletal model (19 degrees of freedom, and 92 Muscles) to synthesize human balance responses after support-surface perturbation. In addition, surrogate response models of task-level experimental kinematics from two healthy subjects were provided as inputs to our closedloop simulations to inform the design of the task-level controller. The predicted muscle EMGs and the resulting synthesized subject joint angles showed good conformity with the average of experimental trials. The simulated whole-body center of mass displacements, generated from a single kinematics trial per perturbation direction, were on average, within 7 mm (anterior perturbations) and 13 mm (posterior perturbations) of experimental displacements. Our results confirmed how a complex subject-specific movement can be reconstructed by sequencing and prioritizing multiple task-level commands to achieve desired movements. By combining the multidisciplinary approaches of robotics and biomechanics, the platform demonstrated here offers great potential for studying human movement control and subject-specific outcome prediction.

Item Type: Article
Uncontrolled Keywords: 0903 Biomedical Engineering, 0906 Electrical And Electronic Engineering
Subjects: R Medicine > RC Internal medicine > RC1200 Sports Medicine
Divisions: Sport & Exercise Sciences
Publisher: Institute of Electrical and Electronics Engineers
Date Deposited: 20 Feb 2018 10:02
Last Modified: 04 Sep 2021 10:45
DOI or ID number: 10.1109/TNSRE.2018.2808878
URI: https://researchonline.ljmu.ac.uk/id/eprint/8063
View Item View Item