NEURAL CLASSIFIER FOR DETECTION AND CLASSIFICATION OF SPIKES AND SHARP WAVES

Fernando Mendes de Azevedo, Geovani Rodrigo Scolaro, Christine Fredel Boos

2011

Abstract

In this article is discussed the application of a hybrid approach that uses the Wavelet Transform and Artificial Neural Networks in detection and recognition of epileptiform events in EEG signals. It is presented the methodology used to develop a Neural Classifier as well as the experiments and its results through the Neural Networks and Wavelet Transform. The developed Neural Classifier showed good results in the classification of Epileptiform events with and without pre-processing achieving sensitive of 97.14%, specificity of 94.55% and accuracy of 96.14%, suggesting the high sample rate of the EEG signals contributed to achieve these values.

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Paper Citation


in Harvard Style

Mendes de Azevedo F., Scolaro G. and Fredel Boos C. (2011). NEURAL CLASSIFIER FOR DETECTION AND CLASSIFICATION OF SPIKES AND SHARP WAVES . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 504-509. DOI: 10.5220/0003170405040509

in Bibtex Style

@conference{biosignals11,
author={Fernando Mendes de Azevedo and Geovani Rodrigo Scolaro and Christine Fredel Boos},
title={NEURAL CLASSIFIER FOR DETECTION AND CLASSIFICATION OF SPIKES AND SHARP WAVES },
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={504-509},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003170405040509},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - NEURAL CLASSIFIER FOR DETECTION AND CLASSIFICATION OF SPIKES AND SHARP WAVES
SN - 978-989-8425-35-5
AU - Mendes de Azevedo F.
AU - Scolaro G.
AU - Fredel Boos C.
PY - 2011
SP - 504
EP - 509
DO - 10.5220/0003170405040509