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Robot-supported assessment of balance in standing and walking

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, August 2017
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Title
Robot-supported assessment of balance in standing and walking
Published in
Journal of NeuroEngineering and Rehabilitation, August 2017
DOI 10.1186/s12984-017-0273-7
Pubmed ID
Authors

Camila Shirota, Edwin van Asseldonk, Zlatko Matjačić, Heike Vallery, Pierre Barralon, Serena Maggioni, Jaap H. Buurke, Jan F. Veneman

Abstract

Clinically useful and efficient assessment of balance during standing and walking is especially challenging in patients with neurological disorders. However, rehabilitation robots could facilitate assessment procedures and improve their clinical value. We present a short overview of balance assessment in clinical practice and in posturography. Based on this overview, we evaluate the potential use of robotic tools for such assessment. The novelty and assumed main benefits of using robots for assessment are their ability to assess 'severely affected' patients by providing assistance-as-needed, as well as to provide consistent perturbations during standing and walking while measuring the patient's reactions. We provide a classification of robotic devices on three aspects relevant to their potential application for balance assessment: 1) how the device interacts with the body, 2) in what sense the device is mobile, and 3) on what surface the person stands or walks when using the device. As examples, nine types of robotic devices are described, classified and evaluated for their suitability for balance assessment. Two example cases of robotic assessments based on perturbations during walking are presented. We conclude that robotic devices are promising and can become useful and relevant tools for assessment of balance in patients with neurological disorders, both in research and in clinical use. Robotic assessment holds the promise to provide increasingly detailed assessment that allows to individually tailor rehabilitation training, which may eventually improve training effectiveness.

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The data shown below were collected from the profile of 1 X user 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 18%
Student > Master 23 15%
Researcher 16 10%
Student > Bachelor 14 9%
Student > Doctoral Student 12 8%
Other 25 16%
Unknown 36 23%
Readers by discipline Count As %
Engineering 55 36%
Nursing and Health Professions 17 11%
Medicine and Dentistry 12 8%
Sports and Recreations 7 5%
Computer Science 6 4%
Other 13 8%
Unknown 44 29%
Attention Score in Context

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 14 September 2017.
All research outputs
#14,079,280
of 22,999,744 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#699
of 1,290 outputs
Outputs of similar age
#169,818
of 317,679 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#15
of 24 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 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 317,679 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 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.