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Massachusetts Institute of Technology

Coordination of lower limb movement utilizing the agonist-antagonist myoneural interface

Abstract

dc:description.abstract

The agonist-antagonist myoneural interface is a novel surgical construct that shows promise as a method of providing persons with amputation proprioceptive sensation of movement and force. This thesis aims to quantify the volitional coordination capabilities of the agonist- antagonist myoneural interface for applications related to control of active prostheses. In the first section, bilateral rhythmic coordination of ankle and subtalar joint movements is investigated in a control group of physically intact human subjects to characterize stereotypical kinematics of volitional lower limb movement. Subsequently, neuromusculoskeletal modeling techniques are developed to directly map estimated neural excitations from agonist-antagonist myoneural interface musculature to intended subtalar inversion and eversion kinematics. In a case study, the developed neuromusculoskeletal modeling techniques are applied to optimize a dynamic subtalar model for use by a unilateral subject with amputation possessing the agonist-antagonist myoneural interface. The subject's subsequent performance in bilateral rhythmic coordination utilizing the model and her own intact subtalar demonstrates the capacity of the agonist-antagonist myoneural interface to coordinate with intact anatomy in a biomimetic manner.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shu, Tony(Data scientist)
Advisor dc:contributor.advisor
  • Hugh Herr.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/124077
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/124077

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Shu, Tony(Data scientist). Coordination of lower limb movement utilizing the agonist-antagonist myoneural interface. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/124077