Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Decoding of grasping tasks from intraneural recordings in trans-radial amputee
 
research article

Decoding of grasping tasks from intraneural recordings in trans-radial amputee

Cracchiolo, Marina
•
Valle, Giacomo
•
Petrini, Francesco  
Show more
April 1, 2020
Journal Of Neural Engineering

Objective. A major challenge in neuroprosthetics is the restoration of sensory-motor hand functions in upper-limb amputees. Neuroprostheses based on the direct re-connection of the peripheral nerves may be an interesting approach for re-establishing the natural and effective bidirectional control of hand prostheses. Recent results have shown that transverse intrafascicular multi-channel electrodes (TIMEs) can restore natural and sophisticated sensory feedback. However, the potential of using TIME-recorded motor intraneural signals to decode grasping tasks has not as yet been explored. Approach. In this study, we show that several hand-movement intentions can be decoded from intraneural signals recorded using four TIMEs implanted in the median and ulnar nerves of an upper limb amputee. Experimental sessions were performed over a week, from day 16 to day 23 after the surgical operation. Intraneural activity was recorded during several hand motor tasks imagined by the subject and processed offline. Main results. We obtained a very high decoding accuracy considering 11 class states (up to 83%). These results confirm that neural signals recorded by multi-channel intraneural electrodes can be used to decode several movement intentions with high accuracy. Moreover, we were able to use same TIME channels for decoding over one week within the first month, even if the stability has to be confirmed during long-term experiments. Significance. Therefore, TIMEs could be used in the future to achieve a complete bidirectional approach exploiting neural pathways, to make a more natural and intuitive new generation of hand prostheses that have a closer resemblance to a healthy hand.

  • Files
  • Details
  • Metrics
Type
research article
DOI
10.1088/1741-2552/ab8277
Web of Science ID

WOS:000530268200001

Author(s)
Cracchiolo, Marina
Valle, Giacomo
Petrini, Francesco  
Strauss, Ivo
Granata, Giuseppe
Stieglitz, Thomas
Rossini, Paolo M.
Raspopovic, Stanisa
Mazzoni, Alberto
Micera, Silvestro  
Date Issued

2020-04-01

Published in
Journal Of Neural Engineering
Volume

17

Issue

2

Article Number

026034

Subjects

Engineering, Biomedical

•

Neurosciences

•

Engineering

•

Neurosciences & Neurology

•

neuroprosthesis

•

neural decoding

•

dimensionality reduction

•

peripheral interface

•

multichannel electrode time

•

targeted reinnervation

•

nerve

•

interface

•

stimulation

•

information

•

selectivity

•

system

Note

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license.

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TNE  
Available on Infoscience
May 16, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/168781
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés