Data Driven Spatial Filtering Can Enhance Abstract Myoelectric Control in Amputees

Matthew Dyson, Kianoush Nazarpour

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

Abstract

Myoelectric control based on multi-sensor techniques can provide an enhanced signal to noise ratio but increases hardware cost and complexity. Sensor arrays are also attractive in a prosthetics context when exact muscle positions are unknown, such as may be the case after limb loss. We present preliminary data obtained while four amputee participants engaged in an abstract myoelectric decoding task. The decoder was controlled by muscles of the forearm or upper arm depending on the level of limb loss. We compare performance using a pair of surface electromyography sensors and while using a data driven weighting of eight sensors. Performance rates demonstrate that amputee participants are able to learn the myoelectric task. Results trend strongly toward enhanced performance when using multiple spatially weighted sensors. Further studies are required to test whether the use of additional myoelectric sensing hardware in abstract decoding would lead to effective prosthesis control.
Original languageEnglish
Title of host publication2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages3770-3773
Number of pages4
ISBN (Electronic)978-1-5386-3646-6
ISBN (Print)978-1-5386-3647-3
DOIs
Publication statusPublished - 29 Oct 2018
Event40th International Conference of the IEEE Engineering in Medicine and Biology Society - Honolulu, United States
Duration: 17 Jul 201821 Jul 2018
https://embc.embs.org/2018/

Publication series

Name
PublisherIEEE
ISSN (Print)1557-170X
ISSN (Electronic)1558-4615

Conference

Conference40th International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2018
Country/TerritoryUnited States
CityHonolulu
Period17/07/1821/07/18
Internet address

Fingerprint

Dive into the research topics of 'Data Driven Spatial Filtering Can Enhance Abstract Myoelectric Control in Amputees'. Together they form a unique fingerprint.

Cite this