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Authors: Pawel Prociow 1 ; Andrzej Wolczowski 1 ; Tito G. Amaral 2 ; Octávio P. Dias 2 and Joaquim Filipe 2

Affiliations: 1 Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, Poland ; 2 Escola Superior de Tecnologia de Setúbal, IPS, Portugal

ISBN: 978-989-8111-18-0

Keyword(s): Electromyography, mechanomyography, LVQ neural network, EMG and MMG signal classification, prosthesis.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer Vision, Visualization and Computer Graphics ; Cybernetics and User Interface Technologies ; Data Manipulation ; Devices ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Information and Systems Security ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: This paper proposes a methodology that analysis and classifies the EMG and MMG signals using neural networks to control prosthetic members. Finger motions discrimination is the key problem in this study. Thus the emphasis is put on myoelectric signal processing approaches in this paper. The EMG and MMG signals classification system was established using the LVQ neural network. The experimental results show a promising performance in classification of motions based on both EMG and MMG patterns.

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Paper citation in several formats:
Prociow P.; Wolczowski A.; G. Amaral T.; P. Dias O.; Filipe J. and (2008). IDENTIFICATION OF HAND MOVEMENTS BASED ON MMG AND EMG SIGNALS.In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 534-539. DOI: 10.5220/0001057305340539

@conference{biosignals08,
author={Pawel Prociow and Andrzej Wolczowski and Tito {G. Amaral} and Octávio {P. Dias} and Joaquim Filipe},
title={IDENTIFICATION OF HAND MOVEMENTS BASED ON MMG AND EMG SIGNALS},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={534-539},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001057305340539},
isbn={978-989-8111-18-0},
}

TY - CONF

JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - IDENTIFICATION OF HAND MOVEMENTS BASED ON MMG AND EMG SIGNALS
SN - 978-989-8111-18-0
AU - Prociow, P.
AU - Wolczowski, A.
AU - G. Amaral, T.
AU - P. Dias, O.
AU - Filipe, J.
PY - 2008
SP - 534
EP - 539
DO - 10.5220/0001057305340539

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