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Wireless intraoral tongue control of an assistive robotic arm for individuals with tetraplegia

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, November 2017
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 Facebook page

Citations

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97 Mendeley
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Title
Wireless intraoral tongue control of an assistive robotic arm for individuals with tetraplegia
Published in
Journal of NeuroEngineering and Rehabilitation, November 2017
DOI 10.1186/s12984-017-0330-2
Pubmed ID
Authors

Lotte N. S. Andreasen Struijk, Line Lindhardt Egsgaard, Romulus Lontis, Michael Gaihede, Bo Bentsen

Abstract

For an individual with tetraplegia assistive robotic arms provide a potentially invaluable opportunity for rehabilitation. However, there is a lack of available control methods to allow these individuals to fully control the assistive arms. Here we show that it is possible for an individual with tetraplegia to use the tongue to fully control all 14 movements of an assistive robotic arm in a three dimensional space using a wireless intraoral control system, thus allowing for numerous activities of daily living. We developed a tongue-based robotic control method incorporating a multi-sensor inductive tongue interface. One abled-bodied individual and one individual with tetraplegia performed a proof of concept study by controlling the robot with their tongue using direct actuator control and endpoint control, respectively. After 30 min of training, the able-bodied experimental participant tongue controlled the assistive robot to pick up a roll of tape in 80% of the attempts. Further, the individual with tetraplegia succeeded in fully tongue controlling the assistive robot to reach for and touch a roll of tape in 100% of the attempts and to pick up the roll in 50% of the attempts. Furthermore, she controlled the robot to grasp a bottle of water and pour its contents into a cup; her first functional action in 19 years. To our knowledge, this is the first time that an individual with tetraplegia has been able to fully control an assistive robotic arm using a wireless intraoral tongue interface. The tongue interface used to control the robot is currently available for control of computers and of powered wheelchairs, and the robot employed in this study is also commercially available. Therefore, the presented results may translate into available solutions within reasonable time.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 26%
Student > Bachelor 15 15%
Student > Ph. D. Student 13 13%
Student > Doctoral Student 8 8%
Researcher 5 5%
Other 10 10%
Unknown 21 22%
Readers by discipline Count As %
Engineering 32 33%
Medicine and Dentistry 7 7%
Nursing and Health Professions 6 6%
Sports and Recreations 5 5%
Neuroscience 5 5%
Other 11 11%
Unknown 31 32%
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 07 December 2017.
All research outputs
#12,863,541
of 23,007,887 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#574
of 1,290 outputs
Outputs of similar age
#152,259
of 330,783 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#16
of 27 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,290 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 330,783 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 53% of its contemporaries.
We're also able to compare this research output to 27 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.