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A gait abnormality measure based on root mean square of trunk acceleration

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, December 2013
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Title
A gait abnormality measure based on root mean square of trunk acceleration
Published in
Journal of NeuroEngineering and Rehabilitation, December 2013
DOI 10.1186/1743-0003-10-118
Pubmed ID
Authors

Masaki Sekine, Toshiyo Tamura, Masaki Yoshida, Yuki Suda, Yuichi Kimura, Hiroaki Miyoshi, Yoshifumi Kijima, Yuji Higashi, Toshiro Fujimoto

Abstract

Root mean square (RMS) of trunk acceleration is seen frequently in gait analysis research. However, many studies have reported that the RMS value was related to walking speed. Therefore, the relationship between the RMS value and walking speed should be considered when the RMS value is used to assess gait abnormality. We hypothesized that the RMS values in three sensing axes exhibit common proportions for healthy people if they walk at their own preferred speed and that the RMS proportions in abnormal gait deviate from the common proportions. In this study, we proposed the RMS ratio (RMSR) as a gait abnormality measure and verified its ability to discriminate abnormal gait.

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X Demographics

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 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Italy 1 <1%
Canada 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 174 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 19%
Student > Master 32 18%
Researcher 24 13%
Student > Bachelor 18 10%
Other 13 7%
Other 28 16%
Unknown 30 17%
Readers by discipline Count As %
Engineering 34 19%
Medicine and Dentistry 29 16%
Sports and Recreations 28 16%
Nursing and Health Professions 17 9%
Agricultural and Biological Sciences 6 3%
Other 21 12%
Unknown 45 25%
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 21 February 2015.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,091
of 1,413 outputs
Outputs of similar age
#244,944
of 320,899 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#10
of 10 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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