Electrocardiogram pattern recognition by means of MLP network and PCA: A case study on equal amount of input signal types

Proceedings - Brazilian Symposium on Neural Networks, SBRN

Volumn 2002-January, Issue , 2002, Pages 200-205

  Vargas, F ^a   Lettnin, D ^a   De Castro, M C F ^a   Macarthy, M ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Artificial neural networks; Cardiology; Cardiovascular diseases; Computer aided software engineering; Eigenvalues and eigenfunctions; Electrocardiography; Heart; Karhunen Loeve transforms; Pattern recognition; Principal component analysis

Indexed keywords

ARTIFICIAL HEART; BIOMEDICAL SIGNAL PROCESSING; CARDIOLOGY; COMPUTER AIDED ANALYSIS; COMPUTER AIDED SOFTWARE ENGINEERING; DISEASES; EIGENVALUES AND EIGENFUNCTIONS; ELECTROCARDIOGRAPHY; HEART; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

CARDIAC ARRHYTHMIA; CARDIO-VASCULAR DISEASE; INFORMATION AMOUNT; KARHUNEN LOEVE TRANSFORM (KLT); KEYPOINTS; MULTI LAYER PERCEPTRON; SIGNAL PREPROCESSING;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84948955630     PISSN: 15224899     EISSN: None     Source Type: Journal    
DOI: 10.1109/SBRN.2002.1181474     Document Type: Article

References (16)

1. BRAUNWALD, Eugene Ed. HEART DISEASE: A textbook of Cardiovascular Medicine. Philadelphia, PA, 1997.
2. BLOWERS, M. G. and Smith, R.N. How to Read an ECG, Basic interpretation for nurses and other health workers. Revised edition. Book division Oradell, New Jersey, 1977.
3. MELO, S.L.; Caloba, P. L.; Nadal, J. Classificação de Batimentos Cardíacos Utilizando Rede Neural com Treinamento Competitivo Supervisionado. Programa de Engenharia Biomédica, COPPE/UFRJ, SBC/99, 1999.
4. BOSSAN, M. C. Classificação de Batimentos Cardíacos Utilizando Redes Neurais. Tese de Mestrado, Programa de Engenharia Biomédica, COPPE/UFRJ, Rio de Janeiro, 1994.
5. PANDYA, A., Macy, R. Pattern Recognition with Neural Networks in C++. IEEE PRESS, 1995.
6. BRONZINO, J. D. The Biomedical Engineering Handbook. Boca Raton, Florida, USA: CRC Press, IEEE Press, 1995.
7. CASTRO, F. C. C., Castro, M. C. F. Redes Neurais Artificiais. Pontifícia Universidade Católica do Rio Grande do Sul, Escola Politécnica, Departamento de Engenharia Eletrônica - PUCRS. Available in the address: http://diana.ee.pucrs.br/˜decastro/RNA-hp/RNA.html, 2001.
8. FRANCO H., Weintraub M., Cohen M. (1997), Context Modeling in a Hybrid HMM-Neural Net Speech Recognition System Proceedings of the International Conference on Neural Networks, Houston, TX.
9. NADAL, J., Panerai, R. B. Estudo preliminar da Classificação de Arritmias Cardíacas Utilizando Análise de Componentes Principais. COPPE/UFRJ, RBE. Vol. 7, 1990.
10. JAIN, Anil K.; Mao Jianchang, Artificial Neural Networks: A tutorial. IEEE, p. 31-44, Mar. 1996
11. HAYKIN, S. Neural Networks. Editor Prentice Hall, 1999.
12. "MIT/BIH database distributor", Beth Israel Hospital, Biomedical Engineering, Division, available in the address: http://ecg.mit.edu/, USA, 1979.
13. GUYTON, Arthur C.; Hall, John E. Tratado de Fisiologia Médica. Editora Guanabara and Koogan, 1996.
14. MATLAB MATHWORKS. http://www.mathworks.com/
15. SABBATINI Renato M.E. Um Programa para o Cálculo da Acurácia, Especificidade e Sensibilidade de Testes Médicos. Revista Informédica, 2 (12): 19-21, 1995.
16. th IEEE ASIAN TEST SYMPOSIUM, 2002, Guam - USA. A New Learning Approach to Design Fault Tolerant ANNs: Finally a Zero HW-SW Overhead. 2002.