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Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, October 2017
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Title
Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept
Published in
Journal of NeuroEngineering and Rehabilitation, October 2017
DOI 10.1186/s12984-017-0313-3
Pubmed ID
Authors

Junkai Xu, Tian Bao, Ung Hee Lee, Catherine Kinnaird, Wendy Carender, Yangjian Huang, Kathleen H. Sienko, Peter B. Shull

Abstract

Postural balance and gait training is important for treating persons with functional impairments, however current systems are generally not portable and are unable to train different types of movements. This paper describes a proof-of-concept design of a configurable, wearable sensing and feedback system for real-time postural balance and gait training targeted for home-based treatments and other portable usage. Sensing and vibrotactile feedback are performed via eight distributed, wireless nodes or "Dots" (size: 22.5 × 20.5 × 15.0 mm, weight: 12.0 g) that can each be configured for sensing and/or feedback according to movement training requirements. In the first experiment, four healthy older adults were trained to reduce medial-lateral (M/L) trunk tilt while performing balance exercises. When trunk tilt deviated too far from vertical (estimated via a sensing Dot on the lower spine), vibrotactile feedback (via feedback Dots placed on the left and right sides of the lower torso) cued participants to move away from the vibration and back toward the vertical no feedback zone to correct their posture. A second experiment was conducted with the same wearable system to train six healthy older adults to alter their foot progression angle in real-time by internally or externally rotating their feet while walking. Foot progression angle was estimated via a sensing Dot adhered to the dorsal side of the foot, and vibrotactile feedback was provided via feedback Dots placed on the medial and lateral sides of the mid-shank cued participants to internally or externally rotate their foot away from vibration. In the first experiment, the wearable system enabled participants to significantly reduce trunk tilt and increase the amount of time inside the no feedback zone. In the second experiment, all participants were able to adopt new gait patterns of internal and external foot rotation within two minutes of real-time training with the wearable system. These results suggest that the configurable, wearable sensing and feedback system is portable and effective for different types of real-time human movement training and thus may be suitable for home-based or clinic-based rehabilitation applications.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 194 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 19%
Student > Master 29 15%
Researcher 23 12%
Student > Bachelor 16 8%
Student > Doctoral Student 11 6%
Other 27 14%
Unknown 51 26%
Readers by discipline Count As %
Engineering 53 27%
Nursing and Health Professions 17 9%
Medicine and Dentistry 15 8%
Sports and Recreations 10 5%
Neuroscience 7 4%
Other 26 13%
Unknown 66 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 November 2017.
All research outputs
#13,336,323
of 23,005,189 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#626
of 1,290 outputs
Outputs of similar age
#158,752
of 324,711 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#22
of 30 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,290 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.