Classification of myoelectric surface signals of hand movements using supervised learning techniques

Marisol Cristel Galarza Flores, Cristian López del Álamo, Juan Felipe Miranda Medina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work presents a comparative study of techniques to classify four hand movements (flexion, extension, opening and closure) using myoelectric signals measured at the forearm in two separate channels: the brachioradialis and the flexor carpi ulnaris (FCU) muscle. The process of signal acquisition is described, as well as signal normalization, hybrid feature extraction and classification using two supervised learning techniques; i.e., backpropagation and support vector machines. The classifiers were trained using the raw data from the input signal. It was verified that the accuracy of the classification is improved by feature extraction up to 2.25%, yielding a successful average classification rate of 91.00%.

Original languageEnglish
Title of host publicationBIOSIGNALS 2021 - 14th International Conference on Bio-Inspired Systems and Signal Processing; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
EditorsBethany Bracken, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages243-251
Number of pages9
ISBN (Electronic)9789897584909
StatePublished - 2021
Event14th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 - Virtual, Online
Duration: 11 Feb 202113 Feb 2021

Publication series

NameBIOSIGNALS 2021 - 14th International Conference on Bio-Inspired Systems and Signal Processing; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021

Conference

Conference14th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
CityVirtual, Online
Period11/02/2113/02/21

Bibliographical note

Publisher Copyright:
Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

Keywords

  • Electromyography
  • Neural Networks
  • Principal Component Analysis
  • Support Vector Machines
  • Wavelets

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