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Body-machine interface for control of a screen cursor for a child with congenital absence of upper and lower limbs: a case report

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, March 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Body-machine interface for control of a screen cursor for a child with congenital absence of upper and lower limbs: a case report
Published in
Journal of NeuroEngineering and Rehabilitation, March 2016
DOI 10.1186/s12984-016-0139-4
Pubmed ID
Authors

Mei-Hua Lee, Rajiv Ranganathan, Florian A. Kagerer, Ranjan Mukherjee

Abstract

There has been a recent interest in the development of body-machine interfaces which allow individuals with motor impairments to control assistive devices using body movements. In this case study, we report findings in the context of the development of such an interface for a 10-year old child with congenital absence of upper and lower limbs. The interface consisted of 4 wireless inertial measurement units (IMUs), which we used to map movements of the upper body to the position of a cursor on a screen. We examined the learning of a task in which the child had to move the cursor to specified targets on the screen as quickly as possible. In addition, we also determined the robustness of the interface by evaluating the child's performance in two different body postures. We found that the child was not only able to learn the task rapidly, but also showed superior performance when compared to typically developing children in the same age range. Moreover, task performance was comparable for the two different body postures, suggesting that the child was able to control the device in different postures without the need for interface recalibration. These results clearly establish the viability and robustness of the proposed non-invasive body-machine interface for pediatric populations with severe motor limitations.

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The data shown below were collected from the profiles of 3 X users 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Researcher 6 12%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 5 10%
Student > Bachelor 4 8%
Other 6 12%
Unknown 17 33%
Readers by discipline Count As %
Engineering 7 14%
Agricultural and Biological Sciences 4 8%
Neuroscience 4 8%
Medicine and Dentistry 4 8%
Psychology 3 6%
Other 12 24%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 March 2016.
All research outputs
#13,387,843
of 22,858,915 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#638
of 1,279 outputs
Outputs of similar age
#145,257
of 300,491 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#12
of 20 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,279 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 49th percentile – i.e., 49% 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 300,491 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.