ANALYSIS OF ECG SIGNALS BY DIVERSE AND COMPOSITE FEATURES

[1] Saxena, S.C., Kumar, V., Hamde, S.T.,
“Feature extraction from ECG signals using
wavelet transforms for disease diagnostics”,
International Journal of Systems Science, Vol:
33, No: 13, pp. 1073-1085, 2002.
[2] Foo, S.Y., Stuart, G., Harvey, B., Meyer-
Baese, A., “Neural network-based EKG pattern
recognition”, Engineering Applications of
Artificial Intelligence, Vol: 15, pp. 253-260,
2002.
[3] Maglaveras, N., Stamkopoulos, T.,
Diamantaras, K., Pappas, C., Strintzis, M., “ECG
pattern recognition and classification using nonlinear
transformations and neural networks: A
review”, International Journal of Medical
Informatics, Vol: 52, pp. 191-208, 1998.
[4] Sternickel, K., “Automatic pattern
recognition in ECG time series”, Computer
Methods and Programs in Biomedicine, Vol: 68,
pp. 109-115, 2002.
[5] Güler, İ., Übeyli, E.D., “ECG beat
classifier designed by combined neural network
model”, Pattern Recognition, Vol: 38, No: 2, pp.
199-208, 2005.
[6] Kwak, N., Choi, C-H., “Input feature
selection for classification problems”, IEEE
Transactions on Neural Networks, Vol: 3, No: 1,
pp. 143-159, 2002.
[7] Übeyli, E.D., Güler, İ., “Feature
extraction from Doppler ultrasound signals for
automated diagnostic systems”, Computers in
Biology and Medicine, Vol: 35, No: 9, pp. 735-
764, 2005.
[8] Daubechies, I., “The wavelet transform,
time-frequency localization and signal analysis”,
IEEE Transactions on Information Theory, Vol:
36, No: 5, pp. 961-1005, 1990.
[9] Akay, M., Semmlow, J.L., Welkowitz,
W., Bauer, M.D., Kostis, J.B., “Noninvasive
detection of coronary stenoses before and after
angioplasty using eigenvector methods”, IEEE
Transactions on Biomedical Engineering, Vol:
37, No: 11, pp. 1095-1104, 1990.
[10] Übeyli, E.D., Güler, İ., “Comparison of
eigenvector methods with classical and modelbased
methods in analysis of internal carotid
arterial Doppler signals”, Computers in Biology
and Medicine, Vol: 33, No: 6, pp. 473-493, 2003.
[11] Goldberger, A.L., Amaral, L.A.N., Glass,
L., Hausdorff, J.M., Ivanov, P.Ch., Mark, R.G.,
Mietus, J.E., Moody, G.B., Peng, C.K., Stanley,
H.E. Physiobank, Physiotoolkit, and Physionet:
Components of a New Research Resource for
Complex Physiologic Signals, Circulation
101(23), e215-e220 [Circulation Electronic
Pages;
http://circ.ahajournals.org/cgi/content/full/101/23
/e215]; 2000 (June 13).
[12] Chen, K., “A connectionist method for
pattern classification with diverse features”,
Pattern Recognition Letters, Vol: 19, No: 7, pp.
545-558, 1998.
[13] Xu, L., Krzyzak, A., Suen, C.Y.,
“Methods of combining multiple classifiers and
their applications to handwriting recognition”,
IEEE Transactions on Systems, Man, and
Cybernetics, Vol: 22, No: 3, pp. 418-435, 1992.
[14] Chen, K., Wang, L., Chi, H., “Methods of
combining multiple classifiers with different
features and their applications to textindependent
speaker identification”,
International Journal of Pattern Recognition and
Artificial Intelligence, Vol: 11, No: 3, pp. 417-
445, 1997.
[15] Jacobs, R.A., Jordan, M.I., Nowlan, S.J.,
Hinton, G.E., “Adaptive mixtures of local
experts”, Neural Computation, Vol: 3, No: 1, pp.
79-87, 1991.
[16] Chen, K., Xu, L., Chi, H., “Improved
learning algorithms for mixture of experts in
multiclass classification”, Neural Networks, Vol:
12, No: 9, pp. 1229-1252, 1999.
[17] Hong, X., Harris, C.J., “A mixture of
experts network structure construction algorithm
for modelling and control”, Applied Intelligence,
Vol: 16, No: 1, pp. 59-69, 2002.
[18] Jordan, M.I., Jacobs, R.A., “Hierarchical
mixture of experts and the EM algorithm”,
Neural Computation, Vol: 6, No: 2, pp. 181-214,
1994.
Analysis Of ECG Signals By Diverse And Composite Features
Elif Derya ÜBEYLİ
400
[19] Güler, İ., Übeyli, E.D., “A mixture of
experts network structure for modelling Doppler
ultrasound blood flow signals”, Computers in
Biology and Medicine, Vol: 35, No: 7, pp. 565-
582, 2005.
[20] Wolpert, D.H., “Stacked generalization”,
Neural Networks, Vol: 5, pp. 241-259, 1992.
Elif Derya ÜBEYLİ graduated from Çukurova University in 1996. She took her M.S. degree in 1998, all in
electronic engineering. She took her Ph.D. degree from Gazi University, electronics and computer technology.
She is an Associate Professor at TOBB Economics and Technology University, Department of Electrical and
Electronics Engineering. Her interest areas are biomedical signal processing, neural networks, and artificial
intelligence. She has written more than 75 articles on biomedical engineering.