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Ambulatory assessment of walking balance after stroke using instrumented shoes

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, May 2016
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2 tweeters
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Citations

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37 Dimensions

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196 Mendeley
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Title
Ambulatory assessment of walking balance after stroke using instrumented shoes
Published in
Journal of NeuroEngineering and Rehabilitation, May 2016
DOI 10.1186/s12984-016-0146-5
Pubmed ID
Authors

Fokke B. van Meulen, Dirk Weenk, Jaap H. Buurke, Bert-Jan F. van Beijnum, Peter H. Veltink

Abstract

For optimal guidance of walking rehabilitation therapy of stroke patients in an in-home setting, a small and easy to use wearable system is needed. In this paper we present a new shoe-integrated system that quantifies walking balance during activities of daily living and is not restricted to a lab environment. Quantitative parameters were related to clinically assessed level of balance in order to assess the additional information they provide. Data of 13 participants who suffered a stroke were recorded while walking 10 meter trials and wearing special instrumented shoes. The data from 3D force and torque sensors, 3D inertial sensors and ultrasound transducers were fused to estimate 3D (relative) position, velocity, orientation and ground reaction force of each foot. From these estimates, center of mass and base of support were derived together with a dynamic stability margin, which is the (velocity) extrapolated center of mass with respect to the front-line of the base of support in walking direction. Additionally, for each participant step lengths and stance times for both sides as well as asymmetries of these parameters were derived. Using the proposed shoe-integrated system, a complete reconstruction of the kinematics and kinetics of both feet during walking can be made. Dynamic stability margin and step length symmetry were not significantly correlated with Berg Balance Scale (BBS) score, but participants with a BBS score below 45 showed a small-positive dynamic stability margin and more asymmetrical step lengths. More affected participants, having a lower BBS score, have a lower walking speed, make smaller steps, longer stance times and have more asymmetrical stance times. The proposed shoe-integrated system and data analysis methods can be used to quantify daily-life walking performance and walking balance, in an ambulatory setting without the use of a lab restricted system. The presented system provides additional insight about the balance mechanism, via parameters describing walking patterns of an individual subject. This information can be used for patient specific and objective evaluation of walking balance and a better guidance of therapies during the rehabilitation. The study protocol is a subset of a larger protocol and registered in the Netherlands Trial Registry, number NTR3636 .

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 195 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 23%
Student > Master 35 18%
Researcher 29 15%
Student > Bachelor 22 11%
Student > Doctoral Student 8 4%
Other 23 12%
Unknown 34 17%
Readers by discipline Count As %
Engineering 48 24%
Nursing and Health Professions 24 12%
Medicine and Dentistry 22 11%
Neuroscience 15 8%
Computer Science 8 4%
Other 29 15%
Unknown 50 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 June 2016.
All research outputs
#3,935,817
of 7,940,332 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#251
of 472 outputs
Outputs of similar age
#134,075
of 270,146 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#12
of 17 outputs
Altmetric has tracked 7,940,332 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 270,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.