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An osseointegrated human-machine gateway for long-term sensory feedback and motor control of artificial limbs

Overview of attention for article published in Science Translational Medicine, October 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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615 Mendeley
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Title
An osseointegrated human-machine gateway for long-term sensory feedback and motor control of artificial limbs
Published in
Science Translational Medicine, October 2014
DOI 10.1126/scitranslmed.3008933
Pubmed ID
Authors

Max Ortiz-Catalan, Bo Håkansson, Rickard Brånemark

Abstract

A major challenge since the invention of implantable devices has been a reliable and long-term stable transcutaneous communication. In the case of prosthetic limbs, existing neuromuscular interfaces have been unable to address this challenge and provide direct and intuitive neural control. Although prosthetic hardware and decoding algorithms are readily available, there is still a lack of appropriate and stable physiological signals for controlling the devices. We developed a percutaneous osseointegrated (bone-anchored) interface that allows for permanent and unlimited bidirectional communication with the human body. With this interface, an artificial limb can be chronically driven by implanted electrodes in the peripheral nerves and muscles of an amputee, outside of controlled environments and during activities of daily living, thus reducing disability and improving quality of life. We demonstrate in one subject, for more than 1 year, that implanted electrodes provide a more precise and reliable control than surface electrodes, regardless of limb position and environmental conditions, and with less effort. Furthermore, long-term stable myoelectric pattern recognition and appropriate sensory feedback elicited via neurostimulation was demonstrated. The opportunity to chronically record and stimulate the neuromuscular system allows for the implementation of intuitive control and naturally perceived sensory feedback, as well as opportunities for the prediction of complex limb motions and better understanding of sensory perception. The permanent bidirectional interface presented here is a critical step toward more natural limb replacement, by combining stable attachment with permanent and reliable human-machine communication.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 615 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
Germany 4 <1%
United Kingdom 2 <1%
Israel 1 <1%
France 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 600 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 129 21%
Student > Master 92 15%
Student > Bachelor 83 13%
Researcher 72 12%
Student > Doctoral Student 30 5%
Other 81 13%
Unknown 128 21%
Readers by discipline Count As %
Engineering 257 42%
Medicine and Dentistry 62 10%
Neuroscience 40 7%
Agricultural and Biological Sciences 31 5%
Computer Science 21 3%
Other 63 10%
Unknown 141 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 408. 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 14 December 2022.
All research outputs
#70,659
of 24,991,957 outputs
Outputs from Science Translational Medicine
#243
of 5,379 outputs
Outputs of similar age
#572
of 261,206 outputs
Outputs of similar age from Science Translational Medicine
#2
of 133 outputs
Altmetric has tracked 24,991,957 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.3. This one has done particularly well, scoring higher than 95% 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 261,206 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 99% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.