Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2019 / Cataloged from PDF version of thesis. / Includes bibliographical references (pages 81-85). / 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. / by Tony Shu. / S.M. / S.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/124077 |
| Date | January 2019 |
| Creators | Shu, Tony |
| Contributors | Hugh Herr., Program in Media Arts and Sciences (Massachusetts Institute of Technology), Program in Media Arts and Sciences (Massachusetts Institute of Technology) |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 85 pages, application/pdf |
| 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., http://dspace.mit.edu/handle/1721.1/7582 |
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