Artificial proprioception for myoelectric control

Tobias Pistohl, Andrew Jackson, Ganesh Gowrishankar, Deepak Joshi, Kianoush Nazarpour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The typical control of myoelectric interfaces, be it in real-life prosthetic applications or laboratory settings, largely relies on visual feedback, while proprioceptive feedback from controlling muscles is not very informative about the task carried out. If proprioceptive feedback were artificially provided to a non-controlling limb, could it be effectively integrated into myoelectric control? In a two-dimensional myoelectric-controlled centre-out task, we aimed to restore proprioception by guiding subjects' right hands along the trajectory of a visual cursor they were controlling with isometric muscle contractions in their left hand. Overall task success was equally high with vision alone as it was with the additional proprioceptive signal, indicating that visual feedback was already sufficient. Still, presence of artificial proprioception did enhance control when visual feedback was not available. Interestingly, sensory integration of the proprioceptive information was established while it appeared to be redundant to existing visual feedback. However, utilization of the artificial proprioceptive signal was severely impaired when it was vertically mirrored with respect to visual feedback, outlining the importance of congruence of sensory modalities for implicit multi-sensory integration.
Original languageEnglish
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1595-1598
Number of pages4
ISBN (Electronic)978-1-4577-0216-7
DOIs
Publication statusPublished - 26 Sep 2013
Event35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Osaka, Japan
Duration: 3 Jul 20137 Jul 2013

Publication series

Name
PublisherIEEE
ISSN (Print)1094-687X
ISSN (Electronic)1558-4615

Conference

Conference35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/TerritoryJapan
CityOsaka
Period3/07/137/07/13

Fingerprint

Dive into the research topics of 'Artificial proprioception for myoelectric control'. Together they form a unique fingerprint.

Cite this