Classification of Myoelectric Surface Signals of Hand Movements using Supervised Learning Techniques

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

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Paper

Classification of Myoelectric Surface Signals of Hand Movements using Supervised Learning Techniques

Topics: Medical Signal Acquisition, Analysis and Processing; Neural Networks for Biosignal Data

In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSTEC, 243-251, 2021

Authors: Marisol Cristel Galarza Flores ; Juan Felipe Miranda Medina and Cristian López del Álamo

Affiliation: Universidad Nacional de San Agustín de Arequipa (UNSA), Arequipa, Peru

Keyword(s): Electromyography, Support Vector Machines, Neural Networks, Wavelets, Principal Component Analysis.

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%.

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Paper citation in several formats:

Flores, M.; Medina, J. and Álamo, C. (2021). Classification of Myoelectric Surface Signals of Hand Movements using Supervised Learning Techniques. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 243-251. DOI: 10.5220/0010281800002865

@conference{biosignals21,
author={Marisol Cristel Galarza Flores. and Juan Felipe Miranda Medina. and Cristian López del Álamo.},
title={Classification of Myoelectric Surface Signals of Hand Movements using Supervised Learning Techniques},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS},
year={2021},
pages={243-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010281800002865},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS
TI - Classification of Myoelectric Surface Signals of Hand Movements using Supervised Learning Techniques
SN - 978-989-758-490-9
IS - 2184-4305
AU - Flores, M.
AU - Medina, J.
AU - Álamo, C.
PY - 2021
SP - 243
EP - 251
DO - 10.5220/0010281800002865
PB - SciTePress