Muscle-reflex model of human locomotion entrains to mechanical perturbations

Abdikadirova, Banu; Lee, Jongwoo; Hogan, Neville; Huber, Meghan E.

doi:10.1109/iros51168.2021.9636780

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…To maximize the potential therapeutic effects of mechanical gait entrainment, different torque pulse profiles (including continuous rhythmic torque patterns) and performance-based protocols for gradual improvement [14], [47], [68] should be investigated. To understand underlying neuro-mechanical mechanisms of entrainment, a competent model would be insightful [69]. Once the most effective method has been established, studies with patient populations should follow to evaluate whether neuromotor adaptation in healthy subjects translates to neuro-recovery in clinical settings.…”

Section: F Gait Entrainment: Clinical Implicationsmentioning

confidence: 99%

Gait Entrainment to Torque Pulses From a Hip Exoskeleton Robot

Lee

Huber

Hogan

2022

IEEE Trans. Neural Syst. Rehabil. Eng.

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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 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.

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Section: F Gait Entrainment: Clinical Implicationsmentioning

confidence: 99%

Gait Entrainment to Torque Pulses From a Hip Exoskeleton Robot

Lee

Huber

Hogan

2022

IEEE Trans. Neural Syst. Rehabil. Eng.

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NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework

Cashaback,

Allen,

Chou

et al. 2024

J NeuroEngineering Rehabil

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In 2023, the National Science Foundation (NSF) and the National Institute of Health (NIH) brought together engineers, scientists, and clinicians by sponsoring a conference on computational modelling in neurorehabiilitation. To facilitate multidisciplinary collaborations and improve patient care, in this perspective piece we identify where and how computational modelling can support neurorehabilitation. To address the where, we developed a patient-in-the-loop framework that uses multiple and/or continual measurements to update diagnostic and treatment model parameters, treatment type, and treatment prescription, with the goal of maximizing clinically-relevant functional outcomes. This patient-in-the-loop framework has several key features: (i) it includes diagnostic and treatment models, (ii) it is clinically-grounded with the International Classification of Functioning, Disability and Health (ICF) and patient involvement, (iii) it uses multiple or continual data measurements over time, and (iv) it is applicable to a range of neurological and neurodevelopmental conditions. To address the how, we identify state-of-the-art and highlight promising avenues of future research across the realms of sensorimotor adaptation, neuroplasticity, musculoskeletal, and sensory & pain computational modelling. We also discuss both the importance of and how to perform model validation, as well as challenges to overcome when implementing computational models within a clinical setting. The patient-in-the-loop approach offers a unifying framework to guide multidisciplinary collaboration between computational and clinical stakeholders in the field of neurorehabilitation.

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Muscle-reflex model of human locomotion entrains to mechanical perturbations

Cited by 2 publications

References 19 publications

Gait Entrainment to Torque Pulses From a Hip Exoskeleton Robot

Gait Entrainment to Torque Pulses From a Hip Exoskeleton Robot

NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework

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