Traitement automatique du signal ECG pour l'aide au diagnostic de ...

BIBLIOGRAPHIE 65
[13] R. Jafari, H. Noshadi, S. Ghiasi, and M. Sarrafzadeh. Adaptative electrocardiagram
feature extraction on distributed embedded systems. IEEE
transaction on parallel and distributed systems, 17 :1-11, 2006.
[14] M. Paoletti and C. Marchesi. Discovering dangerous patterns in long-term
ambulatory ecg recording using a fast qrs detection algorithm and explorative
analysis. Computer Methods and programs in biomedicine, 82 :20-30,
2006.
[15] N. J. Holter. New methods for heart studies. Science 134, 1214, 1961.
[16] E. Jovanov and al. Real time holter monitoring of biomedical signals. DSP
technology and education conference (DSPS-99), 1999.
[17] I. Guyon and A. Elisseeff. An introduction to variable and feature selection.
Journal of Machine Learning Research 3, 1157-1182, 2003.
[18] A. Liu, J.Ghosh, and C. Martin. Generative oversampling for mining imbalanced
datasets. DMIN 2007 : Proceedings of the 2007 international conference
on data mining, 66-72, Las Vegas, Nevada, USA, 2007.
[19] A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. Ch.
Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C.-K. Peng, and
H. E. Stanley. PhysioBank, PhysioToolkit, and PhysioNet : Components
of a new research resource for complex physiologic signals. Circulation,
101(23) :e215–e220, 2000 (June 13). Circulation Electronic Pages :
http ://circ.ahajournals.org/cgi/content/full/101/23/e215.
[20] J. P. Martinez, R. Almeida, S. Olmos, A. P. Rocha, and P.Laguna. A
wavelet-based ecg delineator : evaluation on standard databases. IEEE
Transactions on Biomedical Engineering, 51 :570-81, 2004.
[21] K. S. Park, B. H. Cho, D. H. Lee, S. H. Song, J. S. Lee, Y. J. Chee, and
I. Y. Kim. Hierarchical support vector machine based heartbeat classification
using higher order statistics and hermite basis function. Computer in
Cardiology, 229-232, 2008.
[22] R. Pieraccini. Pattern compression in isolated word recognition. Sign. Proc.
7, 1-15, 1984.
[23] C. M. Bishop. Pattern recognition and machine learning. Springer, 2006.
[24] P. Hansen and N. Mladenovic. J-means : A new local search heurisic for
minimum sum-of-square clustering. Pattern Recognition 34, 405-413, 2001.
[25] J. L. Rodriguez-Sotelo, D. Cuesta-Frau, and G. Castellanos-Dominguez.
An improved method for unsupervised analysis of ecg beats based on wt
features and j-means clustering. ISSN 0276-6574 Computers in Cardiology
2007, 34 :581-584, 2007.
[26] P. de Chazak, M. O’Dwyer, and R. B. Reilly. Automatic classification of
heartbeats using ecg morphology and heartbeat interval features. IEEE
transactions on biomebical engineering, vol. 51, no. 7, 1196-2006, 2004.