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Trainer in a pocket - proof-of-concept of mobile, real-time, foot kinematics feedback for gait pattern normalization in individuals after stroke, incomplete spinal cord injury and elderly patients

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, May 2018
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Title
Trainer in a pocket - proof-of-concept of mobile, real-time, foot kinematics feedback for gait pattern normalization in individuals after stroke, incomplete spinal cord injury and elderly patients
Published in
Journal of NeuroEngineering and Rehabilitation, May 2018
DOI 10.1186/s12984-018-0389-4
Pubmed ID
Authors

Daniel Schließmann, Maria Nisser, Christian Schuld, Till Gladow, Steffen Derlien, Laura Heutehaus, Norbert Weidner, Ulrich Smolenski, Rüdiger Rupp

Abstract

Walking disabilities negatively affect inclusion in society and quality of life and increase the risk for secondary complications. It has been shown that external feedback applied by therapists and/or robotic training devices enables individuals with gait abnormalities to consciously normalize their gait pattern. However, little is known about the effects of a technically-assisted over ground feedback therapy. The aim of this study was to assess whether automatic real-time feedback provided by a shoe-mounted inertial-sensor-based gait therapy system is feasible in individuals with gait impairments after incomplete spinal cord injury (iSCI), stroke and in the elderly. In a non-controlled proof-of-concept study, feedback by tablet computer-generated verbalized instructions was given to individuals with iSCI, stroke and old age for normalization of an individually selected gait parameter (stride length, stance or swing duration, or foot-to-ground angle). The training phase consisted of 3 consecutive visits. Four weeks post training a follow-up visit was performed. Visits started with an initial gait analysis (iGA) without feedback, followed by 5 feedback training sessions of 2-3 min and a gait analysis at the end. A universal evaluation and FB scheme based on equidistant levels of deviations from the mean normal value (1 level = 1 standard deviation (SD) of the physiological reference for the feedback parameter) was used for assessment of gait quality as well as for automated adaptation of training difficulty. Overall changes in level over iGAs were detected using a Friedman's Test. Post-hoc testing was achieved with paired Wilcoxon Tests. The users' satisfaction was assessed by a customized questionnaire. Fifteen individuals with iSCI, 11 after stroke and 15 elderly completed the training. The average level at iGA significantly decreased over the visits in all groups (Friedman's test, p < 0.0001), with the biggest decrease between the first and second training visit (4.78 ± 2.84 to 3.02 ± 2.43, p < 0.0001, paired Wilcoxon test). Overall, users rated the system's usability and its therapeutic effect as positive. Mobile, real-time, verbalized feedback is feasible and results in a normalization of the feedback gait parameter. The results form a first basis for using real-time feedback in task-specific motor rehabilitation programs. DRKS00011853 , retrospectively registered on 2017/03/23.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 255 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 255 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 36 14%
Student > Ph. D. Student 33 13%
Student > Master 29 11%
Researcher 22 9%
Other 11 4%
Other 35 14%
Unknown 89 35%
Readers by discipline Count As %
Nursing and Health Professions 39 15%
Medicine and Dentistry 27 11%
Engineering 22 9%
Sports and Recreations 18 7%
Neuroscience 11 4%
Other 40 16%
Unknown 98 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 May 2018.
All research outputs
#20,514,440
of 23,081,466 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,151
of 1,293 outputs
Outputs of similar age
#290,603
of 331,240 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#22
of 27 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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