MIT E14-633 (MIT Media Lab) and Zoom
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Design and Control of Mechanoneural Interfaces for Neuroprosthetic Limbs
Within the past two decades, numerous attempts have been made to fully reconstruct bionic gait via signals derived from the human nervous system. However, human gait has been difficult to emulate due to the high resolution of both efferent and afferent signaling required to replicate coordinated volitional and reflexive motor commands. Even invasive neural interfaces providing functional feedback from the bionic leg have been unable to demonstrate biomimetic gait. To compound the difficulty, there is limited understanding of the fundamental level of afferent feedback necessary to facilitate a high degree of neuroprosthetic integration for human locomotion.
In this thesis, we investigate the impact of preserving afferent feedback in residual limbs on the sensorimotor responses of individuals with below-knee amputations. Additionally, we present a neuroprosthetic framework that fully reconstructs biomimetic gait from neural information generated by individuals with below-knee amputation. We have achieved the level of neuroprosthetic integration necessary to execute versatile gait through a surgically-constructed mechanoneural interface that enhances native muscle afferents within the amputated residuum. Finally, we develop a myoneural actuator technology in a rodent model, enabling the design of a novel mechanoneural interface that allows for the direct modulation of proprioceptive afferents. These advancements have the potential to significantly improve the quality of life for individuals with amputations and further the development of advanced surgical and neuroprosthetic technologies.
Thesis Supervisor:
Hugh M. Herr, PhD
Professor of MIT Media Arts and Sciences, Director of the MIT Biomechatronics Group, Co-director of the MIT K. Lisa Yang Center for Bionics
Thesis Committee Chair:
Ellen T. Roche, PhD
Latham Family Career Development Professor; Associate Professor of Mechanical Engineering and of the Institute for Medical Engineering and Science, MIT
Thesis Reader:
Emery N. Brown, MD, PhD
Professor of Medical Engineering and Computational Neuroscience, MIT
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Zoom invitation –
Hyungeun Song is inviting you to a scheduled Zoom meeting.
Topic: Hyungeun Song Thesis Defense
Time: Tuesday, May 16, 2023 01:00 PM Eastern Time (US and Canada)
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