Evidence map›Paper›PMID 27009334›Full record

ArticleJournal of neuroengineering and rehabilitation2016

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

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

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
7.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Mei-Hua LeeDepartment of Kinesiology, Michigan State University, 308 W Circle Dr Rm 201, East Lansing, MI, 48824, USA. mhlee@msu.edu.
Rajiv RanganathanDepartment of Kinesiology, Michigan State University, 308 W Circle Dr Rm 201, East Lansing, MI, 48824, USA.
Florian A KagererDepartment of Kinesiology, Michigan State University, 308 W Circle Dr Rm 201, East Lansing, MI, 48824, USA.
Ranjan MukherjeeDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.
Michigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere 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.

methodsIn 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.

resultsWe 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.

conclusionsThese results clearly establish the viability and robustness of the proposed non-invasive body-machine interface for pediatric populations with severe motor limitations.

Indexed as

Lower Extremity Deformities, CongenitalSelf-Help DevicesUpper Extremity Deformities, CongenitalUser-Computer InterfaceHumansLearningMaleMovementTask Performance and Analysis

Identifiers

PMID27009334
PMCPMC4806473
OpenAlexW2305849371

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.