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2008 International Conference on BioMedical Engineering and Informatics
Performance Evaluation of an ANN FF Classifier of Raw EEG Data using ROC Analysis
May 27-May 30
ISBN: 978-0-7695-3118-2
ASCII Text
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Miguel Antonio Sovierzoski, Fernando Mendes de Azevedo, Fernanda Isabel Marques Argoud, "Performance Evaluation of an ANN FF Classifier of Raw EEG Data using ROC Analysis," BioMedical Engineering and Informatics, International Conference on, vol. 1, pp. 332-336, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.220,
author = {Miguel Antonio Sovierzoski and Fernando Mendes de Azevedo and Fernanda Isabel Marques Argoud},
title = {Performance Evaluation of an ANN FF Classifier of Raw EEG Data using ROC Analysis},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {1},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {332-336},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.220},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Performance Evaluation of an ANN FF Classifier of Raw EEG Data using ROC Analysis
SN - 978-0-7695-3118-2
SP332
EP336
A1 - Miguel Antonio Sovierzoski,
A1 - Fernando Mendes de Azevedo,
A1 - Fernanda Isabel Marques Argoud,
PY - 2008
KW - ANN Classifier
KW - ROC Analysis
KW - ROC Curve
KW - EEG Data
VL - 1
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
Due to the increasing use of intelligent and automated systems, pattern, event or signal classification is becoming more important, representing a research area under expansion. The classifier systems indicate results comparable to human classification, or human intervention, with substantial reduction of time and resources. This study presents a methodology for evaluation of an ANN performance using the ROC curve. The statistical performance indexes and the ROC curve are obtained during the supervised training of the ANN FF classifier. The methodology presented was used in the performance evaluation of an ANN classifier of epileptiform events in raw EEG data.
Index Terms:
ANN Classifier, ROC Analysis, ROC Curve, EEG Data
Citation:
Miguel Antonio Sovierzoski, Fernando Mendes de Azevedo, Fernanda Isabel Marques Argoud, "Performance Evaluation of an ANN FF Classifier of Raw EEG Data using ROC Analysis," bmei, vol. 1, pp.332-336, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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