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MEDICAL & HEALTHCARE


DIGITAL FOOT COULD ENHANCE NEUROPROSTHETICS

News
1 min read
31 Jan 2023
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Researchers at Sheffield University have developed a digital foot sole that
enables scientists to see the neurological signals that control how humans walk
and balance.


The 'digital foot' could be used to develop more sophisticated bionic limbs -
Adobestock

The computational model provides a digital simulation of the signals that
continuously flow through the body from the foot to the brain. The team believes
it could be used to design more sophisticated neuroprosthetics – artificial
limbs that can give the brain feedback about the world around is, in electrical
form.

Called FootSim, the model allows scientists to map how the human nervous system
continuously responds to contact with the soles of feet and changes in pressure
points in unprecedented detail. It is described in a new paper in the journal
iScience.

The digital sole model has been developed by Dr Rodrigo Kazu Siqueira, a
computational neuroscientist at Sheffield University, and Natalija Katic, a PhD
student at ETH Zürich and the University of Belgrade.

“To walk and maintain balance, humans rely on continuous feedback from the soles
of our feet,” said Siqueira. “This information is sent in the form of electronic
signals that travel through neurological pathways between our feet and brain.”


MORE IN MEDICAL AND HEALTHCARE

Until now, Siqueira explained, it has been difficult to study these signals,
which makes it difficult to fix them when they’re disrupted or replicate them,
for example in the use of bionic limbs.

“The model we’ve developed here at Sheffield now enables us to replicate the
signals that allow the nervous system to walk and maintain balance in
unprecedented detail,” Siqueira said.

A diagram of how the computational model works - Dr Rodrigo Kazu
Siqueira/Sheffield University

“This level of insight opens up a world of possibilities, particularly for the
future of healthcare. It could be used to help design new, more sophisticated
assistive technologies that are more stable, responsive and reliable.”

Dr Kazu Siqueira is part of Dr Hannes Saal's Active Touch Laboratory, and
together with Luke Cleland, a PhD student from the group, programmed the model
in Sheffield’s Insigneo Institute for in silico Medicine.

The work was done in collaboration with Canadian researchers from Guelph and
Calgary universities and with a group led by Dr Stanisa Raspopovic at ETH
Zürich.


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