ArticlePLoS computational biology2016
Evaluation of the Phase-Dependent Rhythm Control of Human Walking Using Phase Response Curves.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Interlimb coordination is not strictly controlled during walking.Communications biology · 2024Article
- Contribution of Phase Resetting to Statistical Persistence in Stride Intervals: A Modeling Study.Frontiers in neural circuits · 2022Article
- Interaction mechanisms quantified from dynamical features of frog choruses.Royal Society open science · 2020Article
- Exercise Promotes Neurite Extensions from Grafted Dopaminergic Neurons in the Direction of the Dorsolateral Striatum in Parkinson's Disease Model Rats.Journal of Parkinson's disease · 2020Article
- Contribution of Phase Resetting to Adaptive Rhythm Control in Human Walking Based on the Phase Response Curves of a Neuromusculoskeletal Model.Frontiers in neuroscience · 2020Article
- Data-driven spectral analysis for coordinative structures in periodic human locomotion.Scientific reports · 2019Article
- Adaptive hindlimb split-belt treadmill walking in rats by controlling basic muscle activation patterns via phase resetting.Scientific reports · 2018Article
- Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review.Frontiers in neurorobotics · 2017Review
- Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations.Frontiers in neural circuits · 2017Review
- A Fuzzy Controller for Movement Stabilization Using Afferent Control: Controller Synthesis and Simulation.Journal of medical signals and sensorsArticle
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7 authors.
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Abstract
Humans and animals control their walking rhythms to maintain motion in a variable environment. The neural mechanism for controlling rhythm has been investigated in many studies using mechanical and electrical stimulation. However, quantitative evaluation of rhythm variation in response to perturbation at various timings has rarely been investigated. Such a characteristic of rhythm is described by the phase response curve (PRC). Dynamical simulations of human skeletal models with changing walking rhythms (phase reset) described a relation between the effective phase reset on stability and PRC, and phase reset around touch-down was shown to improve stability. A PRC of human walking was estimated by pulling the swing leg, but such perturbations hardly influenced the stance leg, so the relation between the PRC and walking events was difficult to discuss. This research thus examines human response to variations in floor velocity. Such perturbation yields another problem, in that the swing leg is indirectly (and weakly) perturbed, so the precision of PRC decreases. To solve this problem, this research adopts the weighted spike-triggered average (WSTA) method. In the WSTA method, a sequential pulsed perturbation is used for stimulation. This is in contrast with the conventional impulse method, which applies an intermittent impulsive perturbation. The WSTA method can be used to analyze responses to a large number of perturbations for each sequence. In the experiment, perturbations are applied to walking subjects by rapidly accelerating and decelerating a treadmill belt, and measured data are analyzed by the WSTA and impulse methods. The PRC obtained by the WSTA method had clear and stable waveforms with a higher temporal resolution than those obtained by the impulse method. By investigation of the rhythm transition for each phase of walking using the obtained PRC, a rhythm change that extends the touch-down and mid-single support phases is found to occur.
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