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The Effects of Rhythmic Sensory Cues on the Temporal Dynamics of Human Gait

Overview of attention for article published in PLOS ONE, August 2012
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Title
The Effects of Rhythmic Sensory Cues on the Temporal Dynamics of Human Gait
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043104
Pubmed ID
Authors

Ervin Sejdić, Yingying Fu, Alison Pak, Jillian A. Fairley, Tom Chau

Abstract

Walking is a complex, rhythmic task performed by the locomotor system. However, natural gait rhythms can be influenced by metronomic auditory stimuli, a phenomenon of particular interest in neurological rehabilitation. In this paper, we examined the effects of aural, visual and tactile rhythmic cues on the temporal dynamics associated with human gait. Data were collected from fifteen healthy adults in two sessions. Each session consisted of five 15-minute trials. In the first trial of each session, participants walked at their preferred walking speed. In subsequent trials, participants were asked to walk to a metronomic beat, provided through visually, aurally, tactile or all three cues (simultaneously and in sync), the pace of which was set to the preferred walking speed of the first trial. Using the collected data, we extracted several parameters including: gait speed, mean stride interval, stride interval variability, scaling exponent and maximum Lyapunov exponent. The extracted parameters showed that rhythmic sensory cues affect the temporal dynamics of human gait. The auditory rhythmic cue had the greatest influence on the gait parameters, while the visual cue had no statistically significant effect on the scaling exponent. These results demonstrate that visual rhythmic cues could be considered as an alternative cueing modality in rehabilitation without concern of adversely altering the statistical persistence of walking.

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Geographical breakdown

Country Count As %
United Kingdom 4 3%
Germany 1 <1%
Canada 1 <1%
Spain 1 <1%
Luxembourg 1 <1%
Unknown 123 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 20%
Student > Master 26 20%
Researcher 17 13%
Student > Bachelor 14 11%
Professor 7 5%
Other 24 18%
Unknown 17 13%
Readers by discipline Count As %
Engineering 27 21%
Psychology 23 18%
Medicine and Dentistry 17 13%
Sports and Recreations 9 7%
Agricultural and Biological Sciences 8 6%
Other 25 19%
Unknown 22 17%