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Elbow spasticity during passive stretch-reflex: clinical evaluation using a wearable sensor system

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, June 2013
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Title
Elbow spasticity during passive stretch-reflex: clinical evaluation using a wearable sensor system
Published in
Journal of NeuroEngineering and Rehabilitation, June 2013
DOI 10.1186/1743-0003-10-61
Pubmed ID
Authors

Chris A McGibbon, Andrew Sexton, Melony Jones, Colleen O’Connell

Abstract

Spasticity is a prevalent chronic condition among persons with upper motor neuron syndrome that significantly impacts function and can be costly to treat. Clinical assessment is most often performed with passive stretch-reflex tests and graded on a scale, such as the Modified Ashworth Scale (MAS). However, these scales are limited in sensitivity and are highly subjective. This paper shows that a simple wearable sensor system (angle sensor and 2-channel EMG) worn during a stretch-reflex assessment can be used to more objectively quantify spasticity in a clinical setting.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 4 3%
Unknown 117 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Student > Master 19 16%
Researcher 15 12%
Student > Bachelor 15 12%
Student > Doctoral Student 8 7%
Other 18 15%
Unknown 21 17%
Readers by discipline Count As %
Engineering 43 36%
Medicine and Dentistry 17 14%
Neuroscience 10 8%
Nursing and Health Professions 8 7%
Sports and Recreations 5 4%
Other 14 12%
Unknown 24 20%
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 08 July 2013.
All research outputs
#18,341,369
of 22,713,403 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#983
of 1,278 outputs
Outputs of similar age
#147,817
of 196,832 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#14
of 26 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,278 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 11th percentile – i.e., 11% 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 196,832 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.