Analysis of myoelectric signals using a Field Programmable SoC

Bence J. Borbely, Zoltan Kineses, Zsolt Vorohazi, Zoltan Nagy, Peter Szolgay

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

6 Citations (Scopus)

Abstract

A platform design for the analysis of human myoelectric signals (MES) is presented. Offline recorded multichannel signals of forearm muscles are processed with a Field Programmable SoC in order to classify different movement patterns to control human-assisting electromechanical systems with multiple degrees of freedom (e.g. a prosthetic hand). Benchmark results of an ANSI C implementation are shown to assess the raw performance of the built-in ARM cores of the SoC. Possible computational bottlenecks are located based on the results and custom hardware implementations are shown to fully utilize the flexibility and performance of the used hardware platform.

Original languageEnglish
Title of host publication2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings
PublisherIEEE Computer Society
ISBN (Print)9783000437854
DOIs
Publication statusPublished - Jan 1 2013
Event2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Dresden, Germany
Duration: Sep 8 2013Sep 12 2013

Publication series

Name2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings

Other

Other2013 European Conference on Circuit Theory and Design, ECCTD 2013
CountryGermany
CityDresden
Period9/8/139/12/13

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ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Borbely, B. J., Kineses, Z., Vorohazi, Z., Nagy, Z., & Szolgay, P. (2013). Analysis of myoelectric signals using a Field Programmable SoC. In 2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings [6662255] (2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings). IEEE Computer Society. https://doi.org/10.1109/ecctd.2013.6662255