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Gait Entrainment to Torque Pulses From a Hip Exoskeleton Robot

Author(s)
Lee, Jongwoo; Huber, Meghan E.; Hogan, Neville
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Abstract
Robot-aided locomotor rehabilitation has proven challenging. To facilitate progress, it is important to first understand the neuro-mechanical dynamics and control of unimpaired human locomotion. Our previous studies found that human gait entrained to periodic torque pulses at the ankle when the pulse period was close to preferred stride duration. Moreover, synchronized gait exhibited a constant phase relation with the pulses so that the robot provided mechanical assistance. To test the generality of mechanical gait entrainment, this study characterized unimpaired human subjects' responses to periodic torque pulses during overground walking. The intervention was applied by a hip exoskeleton robot, Samsung GEMS-H. Gait entrainment was assessed based on the time-course of the phase at which torque pulses occurred within each stride. Experiments were conducted for two consecutive days to evaluate whether the second day elicited more entrainment. Whether entrainment was affected by the difference between pulse period and preferred stride duration was also assessed. Results indicated that the intervention evoked gait entrainment that occurred more often when the period of perturbation was closer to subjects' preferred stride duration, but the difference between consecutive days was insignificant. Entrainment was accompanied by convergence of pulse phase to a similar value across all conditions, where the robot maximized mechanical assistance. Clear evidence of motor adaptation indicated the potential of the intervention for rehabilitation. This study quantified important aspects of the nonlinear neuro-mechanical dynamics underlying unimpaired human walking, which will inform the development of effective approaches to robot-aided locomotor rehabilitation, exploiting natural dynamics in a minimally-encumbering way.
Date issued
2022
URI
https://hdl.handle.net/1721.1/153428
Department
Massachusetts Institute of Technology. Department of Mechanical Engineering; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Journal
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Lee, Jongwoo, Huber, Meghan E. and Hogan, Neville. 2022. "Gait Entrainment to Torque Pulses From a Hip Exoskeleton Robot." IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30.
Version: Final published version
ISSN
1534-4320
1558-0210
Keywords
Biomedical Engineering, General Neuroscience, Internal Medicine, Rehabilitation

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