Abstract
In order to achieve flexible and smooth walking, we must accomplish subtasks (e. g., loading response, forward propulsion or swing initiation) within a gait cycle. To evaluate subtasks within a gait cycle, the analysis of muscle synergies may be effective. In the case of walking, extracted sets of muscle synergies characterize muscle patterns that relate to the subtasks within a gait cycle. Although previous studies have reported that the muscle synergies of individuals with disorders reflect impairments, a way to investigate the instability in the activations of muscle synergies themselves has not been proposed. Thus, we investigated the local dynamic stability and orbital stability of activations of muscle synergies across various walking speeds using maximum Lyapunov exponents and maximum Floquet multipliers. We revealed that the local dynamic stability in the activations decreased with accelerated walking speeds. Contrary to the local dynamic stability, the orbital stability of the activations was almost constant across walking speeds. In addition, the increasing rates of maximum Lyapunov exponents were different among the muscle synergies. Therefore, the local dynamic stability in the activations might depend on the requirement of motor output related to the subtasks within a gait cycle. We concluded that the local dynamic stability in the activation of muscle synergies decrease as walking speed accelerates. On the other hand, the orbital stability is sustained across broad walking speeds.
Highlights
We can walk under various conditions; controlling flexible and smooth walking is a necessary factor for daily life
This study investigated the maximum Lyapunov exponents and maximum Floquet multipliers in activations of muscle synergies across various walking speeds to identify the local dynamic stability and orbital stability in the activations of muscle synergies that relate to subtasks within a gait cycle
We revealed that the maximum Lyapunov exponents increased with accelerations in walking speeds
Summary
We can walk under various conditions; controlling flexible and smooth walking is a necessary factor for daily life. Because the assessment of walking ability is a critical factor in rehabilitation, effective evaluation of subtasks within a gait cycle may be beneficial for clinicians. Such evaluation of subtasks within a gait cycle may be achieved via analysis of muscle synergies. Sets of extracted muscle synergies characterize muscle patterns that are related to subtasks within a gait cycle (e.g., loading response phase, late stance phase or swing phase; Neptune et al, 2009; McGowan et al, 2010; Allen and Neptune, 2012). Allen et al (2013) revealed that merged temporal patterns of synergies during hemiparetic walking reflect impairments in subtasks within a gait cycle.
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