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A haptic-robotic platform for upper-limb reaching stroke therapy: Preliminary design and evaluation results

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, May 2008
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Title
A haptic-robotic platform for upper-limb reaching stroke therapy: Preliminary design and evaluation results
Published in
Journal of NeuroEngineering and Rehabilitation, May 2008
DOI 10.1186/1743-0003-5-15
Pubmed ID
Authors

Paul Lam, Debbie Hebert, Jennifer Boger, Hervé Lacheray, Don Gardner, Jacob Apkarian, Alex Mihailidis

Abstract

It has been shown that intense training can significantly improve post-stroke upper-limb functionality. However, opportunities for stroke survivors to practice rehabilitation exercises can be limited because of the finite availability of therapists and equipment. This paper presents a haptic-enabled exercise platform intended to assist therapists and moderate-level stroke survivors perform upper-limb reaching motion therapy. This work extends on existing knowledge by presenting: 1) an anthropometrically-inspired design that maximizes elbow and shoulder range of motions during exercise; 2) an unobtrusive upper body postural sensing system; and 3) a vibratory elbow stimulation device to encourage muscle movement.

Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
India 1 <1%
Italy 1 <1%
Singapore 1 <1%
Mexico 1 <1%
Unknown 164 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 23%
Student > Master 38 22%
Student > Bachelor 18 11%
Researcher 12 7%
Student > Doctoral Student 12 7%
Other 26 15%
Unknown 25 15%
Readers by discipline Count As %
Engineering 71 42%
Medicine and Dentistry 18 11%
Computer Science 11 6%
Psychology 10 6%
Nursing and Health Professions 9 5%
Other 22 13%
Unknown 29 17%

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 26 September 2012.
All research outputs
#3,850,649
of 4,729,227 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#312
of 348 outputs
Outputs of similar age
#65,918
of 80,689 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#10
of 13 outputs
Altmetric has tracked 4,729,227 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 348 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% 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 80,689 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.