Identificação em Sinais de EEG de Eventos Epileptiformes e da Piscada Palpebral com um Classificador Neural Binário
Resumo
Este artigo apresenta o desenvolvimento e a avaliação de um classificador neural binário para separar eventos epileptiformes (espícula e onda aguda) do artefato piscada palpebral em exames de eletroencefalografia (EEG). A piscada palpebral é o principal artefato que diminui o desempenho dos sistemas automáticos de identificação de eventos epileptiformes em sinais de EEG. É apresentada a metodologia de desenvolvimento do classificador neural binário utilizando uma rede neural artificial tipo Perceptron multicamadas. A avaliação de desempenho do classificador neural é realizada com índices estatísticos, índices de desempenho e curva ROC com critérios de desempenho. O artigo finaliza apresentando e comentando os resultados obtidos.Referências
Argoud, F.I.M., Azevedo. F.M., Marino-Neto, J. (2004), "Sistema de Detecção Automática de Paroxismos Epileptogênicos em Sinais de Eletroencefalograma", Revista Controle & Automação, 15:4, p. 467-475.
Sovierzoski, M.A., Argoud, F.I.M., Azevedo, F.M. (2008), "Identifying Eye Blinks in EEG Signal Analysis", In: Proceedings of the 5th International Conference on Information Technology and Applications in Biomedicine (ITAB2008), Shenzhen, China, May 30-31, pp. 406-409.
Chatrian, G.E., Bergamini, L., Dondey, M., Klass, D.W., Lennox-Buchthal, M., Petersén, I. (1974), "A Glossary of Terms Most Commonly Used by Clinical Electroencephalographers", Electroencephalography and Clinical Neurophysiology, vol 37, pp. 538-548.
Noachtar, S., Binnie, C., Ebersole, J., Mauguière, F., Sakamoto, A., Westmoreland, B. (1999), "A glossary of terms most commonly used by clinical electroencephalographers and proposal for the report form the EEG findings", Recommendations for the Practice of Clinical Neurophysiology: Guidelines of the International Federation of Clinical Physiology, EEG Suppl. 52, pp. 21-41.
Anghinah, R., Basile, L.I., Schmidt, M.T., Sameshima, K., Gattaz, W.F. (2006), "Artefatos Biológicos no EEG Quantitativo", Arquivos de Neuro-Psiquiatria, São Paulo, Brasil, vol. 64, n. 2a, p. 264-268.
Iwasaki, M., Kellinghaus, C., Alexopoulos, A.V., Burgess, R.C., Kumar, A.N., Han, Y.H., Lüders, H.O., Leigh, R.J. (2005), "Effects of eyelid closure, blinks, and eye movements on the electroencephalogram", Clinical Neurophysiology, vol. 116, pp. 878-885.
Medronho, R.A., Carvalho, D.M., Bloch, K.V., Luiz, R.R., Werneck, G.L. (2006), Epidemiologia, Atheneu, São Paulo.
Massad, E., Menezes, R.X., Silveira, P.S.P., Ortega, N.R.S. (2004), Métodos Quantitativos em Medicina, Manole, São Paulo.
Tilbury, J.B., Eetvelt, W.J., Garibaldi, J.M., Curnsw, J.S.H., Ifeachor, E.C. (2000), "Receiver operating characteristic analysis for intelligent medical systems-a new approach for finding confidence intervals", IEEE Transactions on Biomedical Engineering, 47:7, pp. 952-963.
Fawcett, T. (2006), "An introduction to ROC analysis", Pattern Recognition Letters, 27:8, p.861-874.
Lasko, T.A., Bhagwat, J.G., Zou, K.H., Ohno-Machado, L. (2005), "The use of receiver operating characteristic curves in biomedical informatics", J Biomedical Informatics, vol. 38, pp. 404–415.
Eberhart, R.C., Dobbins, R.W. (1990), Neural Network PC Tools: A Practical Guide, Academic Press.
Brown, C.D., Davis, H.T. (2006), "Receiver operating characteristics curves and related decision measures: A tutorial", Chemometrics and Intelligent Laboratory Systems, vol. 80, issue 1, p. 24-38.
Erkel, A.R., Pattynama, P.M.T. (1998), "Receiver Operating Characteristic (ROC) Analysis: Basic Principles and Applications in Radiology", European Journal of Radiology, 27:2, p. 88-94.
Ponomarenko, J.V., Bourne, P.E. (2007) "Antibody-protein interactions: benchmark datasets and prediction tools evaluation", BMC Structural Biology, vol. 7:64, pp. 1-19.
Hese, P., Hallez, H., Vanrumste, B., D'Asseler, Y., Boon, P. (2004), "Evaluation of Temporal and Spatial EEG Spike Detection Algorithms", In: Proceedings of the 5th FTW PhD Symposium.
Greiner, M., Sohr, D., Göbel, P. (1995), "A modified ROC analysis for the selection of cut-off values and the definition of intermediate results of serodiagnostic tests", Journal of Immunological Methods, vol. 185, pp. 123-132.
Haykin, S. (1999), Neural Networks: A Comprehensive Foundation, Prentice Hall.
Braga, A.P., Carvalho, A.C.P.L., Ludermir, T.B. (2007), Redes Neurais Artificiais: Teoria e Aplicações, LTC Editora, São Paulo.
Sovierzoski, M.A., Argoud, F.I.M., Azevedo, F.M. (2008), "Evaluation of ANN Classifiers During Supervised Training with ROC Analysis and Cross Validation", In: Proceedings of the First International Conference on BioMedical Engineering and Informatics – BMEI 2008, Sanya, Hainan, China, May 28-30, pp. 274-278.
Sovierzoski, M.A., Argoud, F.I.M., Azevedo, F.M. (2008), "Identifying Eye Blinks in EEG Signal Analysis", In: Proceedings of the 5th International Conference on Information Technology and Applications in Biomedicine (ITAB2008), Shenzhen, China, May 30-31, pp. 406-409.
Chatrian, G.E., Bergamini, L., Dondey, M., Klass, D.W., Lennox-Buchthal, M., Petersén, I. (1974), "A Glossary of Terms Most Commonly Used by Clinical Electroencephalographers", Electroencephalography and Clinical Neurophysiology, vol 37, pp. 538-548.
Noachtar, S., Binnie, C., Ebersole, J., Mauguière, F., Sakamoto, A., Westmoreland, B. (1999), "A glossary of terms most commonly used by clinical electroencephalographers and proposal for the report form the EEG findings", Recommendations for the Practice of Clinical Neurophysiology: Guidelines of the International Federation of Clinical Physiology, EEG Suppl. 52, pp. 21-41.
Anghinah, R., Basile, L.I., Schmidt, M.T., Sameshima, K., Gattaz, W.F. (2006), "Artefatos Biológicos no EEG Quantitativo", Arquivos de Neuro-Psiquiatria, São Paulo, Brasil, vol. 64, n. 2a, p. 264-268.
Iwasaki, M., Kellinghaus, C., Alexopoulos, A.V., Burgess, R.C., Kumar, A.N., Han, Y.H., Lüders, H.O., Leigh, R.J. (2005), "Effects of eyelid closure, blinks, and eye movements on the electroencephalogram", Clinical Neurophysiology, vol. 116, pp. 878-885.
Medronho, R.A., Carvalho, D.M., Bloch, K.V., Luiz, R.R., Werneck, G.L. (2006), Epidemiologia, Atheneu, São Paulo.
Massad, E., Menezes, R.X., Silveira, P.S.P., Ortega, N.R.S. (2004), Métodos Quantitativos em Medicina, Manole, São Paulo.
Tilbury, J.B., Eetvelt, W.J., Garibaldi, J.M., Curnsw, J.S.H., Ifeachor, E.C. (2000), "Receiver operating characteristic analysis for intelligent medical systems-a new approach for finding confidence intervals", IEEE Transactions on Biomedical Engineering, 47:7, pp. 952-963.
Fawcett, T. (2006), "An introduction to ROC analysis", Pattern Recognition Letters, 27:8, p.861-874.
Lasko, T.A., Bhagwat, J.G., Zou, K.H., Ohno-Machado, L. (2005), "The use of receiver operating characteristic curves in biomedical informatics", J Biomedical Informatics, vol. 38, pp. 404–415.
Eberhart, R.C., Dobbins, R.W. (1990), Neural Network PC Tools: A Practical Guide, Academic Press.
Brown, C.D., Davis, H.T. (2006), "Receiver operating characteristics curves and related decision measures: A tutorial", Chemometrics and Intelligent Laboratory Systems, vol. 80, issue 1, p. 24-38.
Erkel, A.R., Pattynama, P.M.T. (1998), "Receiver Operating Characteristic (ROC) Analysis: Basic Principles and Applications in Radiology", European Journal of Radiology, 27:2, p. 88-94.
Ponomarenko, J.V., Bourne, P.E. (2007) "Antibody-protein interactions: benchmark datasets and prediction tools evaluation", BMC Structural Biology, vol. 7:64, pp. 1-19.
Hese, P., Hallez, H., Vanrumste, B., D'Asseler, Y., Boon, P. (2004), "Evaluation of Temporal and Spatial EEG Spike Detection Algorithms", In: Proceedings of the 5th FTW PhD Symposium.
Greiner, M., Sohr, D., Göbel, P. (1995), "A modified ROC analysis for the selection of cut-off values and the definition of intermediate results of serodiagnostic tests", Journal of Immunological Methods, vol. 185, pp. 123-132.
Haykin, S. (1999), Neural Networks: A Comprehensive Foundation, Prentice Hall.
Braga, A.P., Carvalho, A.C.P.L., Ludermir, T.B. (2007), Redes Neurais Artificiais: Teoria e Aplicações, LTC Editora, São Paulo.
Sovierzoski, M.A., Argoud, F.I.M., Azevedo, F.M. (2008), "Evaluation of ANN Classifiers During Supervised Training with ROC Analysis and Cross Validation", In: Proceedings of the First International Conference on BioMedical Engineering and Informatics – BMEI 2008, Sanya, Hainan, China, May 28-30, pp. 274-278.
Publicado
20/07/2009
Como Citar
SOVIERZOSKI, Miguel Antonio; SCHWARZ, Leandro; AZEVEDO, Fernando Mendes de.
Identificação em Sinais de EEG de Eventos Epileptiformes e da Piscada Palpebral com um Classificador Neural Binário. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO APLICADA À SAÚDE (SBCAS), 9. , 2009, Bento Gonçalves/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2009
.
p. 1919-1928.
ISSN 2763-8952.
