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The myokinetic control interface: tracking implanted magnets as a means for prosthetic control

Overview of attention for article published in Scientific Reports, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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1 news outlet
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5 X users
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1 patent
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1 Facebook page
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1 Wikipedia page

Citations

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47 Dimensions

Readers on

mendeley
93 Mendeley
Title
The myokinetic control interface: tracking implanted magnets as a means for prosthetic control
Published in
Scientific Reports, December 2017
DOI 10.1038/s41598-017-17464-1
Pubmed ID
Authors

S. Tarantino, F. Clemente, D. Barone, M. Controzzi, C. Cipriani

Abstract

Upper limb amputation deprives individuals of their innate ability to manipulate objects. Such disability can be restored with a robotic prosthesis linked to the brain by a human-machine interface (HMI) capable of decoding voluntary intentions, and sending motor commands to the prosthesis. Clinical or research HMIs rely on the interpretation of electrophysiological signals recorded from the muscles. However, the quest for an HMI that allows for arbitrary and physiologically appropriate control of dexterous prostheses, is far from being completed. Here we propose a new HMI that aims to track the muscles contractions with implanted permanent magnets, by means of magnetic field sensors. We called this a myokinetic control interface. We present the concept, the features and a demonstration of a prototype which exploits six 3-axis sensors to localize four magnets implanted in a forearm mockup, for the control of a dexterous hand prosthesis. The system proved highly linear (R2 = 0.99) and precise (1% repeatability), yet exhibiting short computation delay (45 ms) and limited cross talk errors (10% the mean stroke of the magnets). Our results open up promising possibilities for amputees, demonstrating the viability of the myokinetic approach in implementing direct and simultaneous control over multiple digits of an artificial hand.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Student > Ph. D. Student 15 16%
Student > Bachelor 12 13%
Researcher 9 10%
Student > Doctoral Student 5 5%
Other 11 12%
Unknown 25 27%
Readers by discipline Count As %
Engineering 38 41%
Medicine and Dentistry 6 6%
Neuroscience 5 5%
Nursing and Health Professions 4 4%
Computer Science 2 2%
Other 9 10%
Unknown 29 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 28 April 2022.
All research outputs
#1,717,485
of 23,011,300 outputs
Outputs from Scientific Reports
#15,923
of 124,274 outputs
Outputs of similar age
#41,665
of 440,043 outputs
Outputs of similar age from Scientific Reports
#551
of 4,306 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 124,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 87% 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 440,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 4,306 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.