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

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

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Resumen

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%.

Idioma originalInglés
Título de la publicación alojadaBIOSIGNALS 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
EditoresBethany Bracken, Ana Fred, Hugo Gamboa
EditorialSciTePress
Páginas243-251
Número de páginas9
ISBN (versión digital)9789897584909
EstadoPublicada - 2021
Evento14th 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
Duración: 11 feb. 202113 feb. 2021

Serie de la publicación

NombreBIOSIGNALS 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

Conferencia

Conferencia14th 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
CiudadVirtual, Online
Período11/02/2113/02/21

Nota bibliográfica

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

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