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Authors: Siti Anom Ahmad ; Mohd Asyraf Khalid ; Sawal H. M. Ali and Asnor J. Ishak

Affiliation: Faculty of Engineering and Built Environment and Universiti Kebangsaan Malaysia, Malaysia

ISBN: 978-989-8425-89-8

Keyword(s): Prosthesis control, Electromyography, Classification, Fuzzy logic, Artificial neural network.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: Electromyography control system (ECS) is a well-known technique for prosthesis control application. It consists of two main modules namely feature extraction and classification. This paper presents the investigation of the classification module in the ECS. The surface electromyographic (EMG) signals were recorded from flexor and extensor muscles of the forearm during wrist flexion and extension. Standard deviation and mean absolute value were used to extract information from the raw EMG signals. Two different classifiers, fuzzy logic and artificial neural network were used in investigating the surface EMG signals. The classifier is responsible to determine the movement of the subject’s limb during specific moment. The two classifiers were compared in terms of their performance.

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Paper citation in several formats:
Anom Ahmad, S.; Asyraf Khalid, M.; J. Ishak, A. and H. M. Ali, S. (2012). SURFACE EMG CLASSIFICATION FOR PROSTHESIS CONTROL - Fuzzy Logic vs. Artificial Neural Network.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 317-320. DOI: 10.5220/0003696603170320

@conference{biosignals12,
author={Siti Anom Ahmad. and Mohd Asyraf Khalid. and Asnor J. Ishak. and Sawal H. M. Ali.},
title={SURFACE EMG CLASSIFICATION FOR PROSTHESIS CONTROL - Fuzzy Logic vs. Artificial Neural Network},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={317-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003696603170320},
isbn={978-989-8425-89-8},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - SURFACE EMG CLASSIFICATION FOR PROSTHESIS CONTROL - Fuzzy Logic vs. Artificial Neural Network
SN - 978-989-8425-89-8
AU - Anom Ahmad, S.
AU - Asyraf Khalid, M.
AU - J. Ishak, A.
AU - H. M. Ali, S.
PY - 2012
SP - 317
EP - 320
DO - 10.5220/0003696603170320

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