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Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, August 2018
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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7 X users

Citations

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198 Mendeley
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Title
Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset
Published in
Journal of NeuroEngineering and Rehabilitation, August 2018
DOI 10.1186/s12984-018-0419-2
Pubmed ID
Authors

Angelos Karatsidis, Rosie E. Richards, Jason M. Konrath, Josien C. van den Noort, H. Martin Schepers, Giovanni Bellusci, Jaap Harlaar, Peter H. Veltink

Abstract

Gait retraining interventions using real-time biofeedback have been proposed to alter the loading across the knee joint in patients with knee osteoarthritis. Despite the demonstrated benefits of these conservative treatments, their clinical adoption is currently obstructed by the high complexity, spatial demands, and cost of optical motion capture systems. In this study we propose and evaluate a wearable visual feedback system for gait retraining of the foot progression angle (FPA). The primary components of the system are inertial measurement units, which track the human movement without spatial limitations, and an augmented reality headset used to project the visual feedback in the visual field. The adapted gait protocol contained five different target angles ranging from 15 degrees toe-out to 5 degrees toe-in. Eleven healthy participants walked on an instrumented treadmill, and the protocol was performed using both an established laboratory visual feedback driven by optical motion capture, and the proposed wearable system. The wearable system tracked FPA with an accuracy of 2.4 degrees RMS and ICC=0.94 across all target angles and subjects, when compared to an optical motion capture reference. In addition, the effectiveness of the biofeedback, reflected by the number of steps with FPA value ±2 degrees from the target, was found to be around 50% in both wearable and laboratory approaches. These findings demonstrate that retraining of the FPA using wearable inertial sensing and visual feedback is feasible with effectiveness matching closely an established laboratory method. The proposed wearable setup may reduce the complexity of gait retraining applications and facilitate their transfer to routine clinical practice.

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The data shown below were collected from the profiles of 7 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 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 198 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 14%
Student > Master 25 13%
Student > Bachelor 19 10%
Researcher 17 9%
Student > Postgraduate 10 5%
Other 30 15%
Unknown 69 35%
Readers by discipline Count As %
Engineering 34 17%
Nursing and Health Professions 22 11%
Sports and Recreations 12 6%
Medicine and Dentistry 11 6%
Psychology 7 4%
Other 28 14%
Unknown 84 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 August 2018.
All research outputs
#5,799,432
of 23,100,534 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#340
of 1,294 outputs
Outputs of similar age
#99,251
of 330,630 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#9
of 27 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,294 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 73% 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 330,630 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 69% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.