Artificial neural networks for the diagnosis of atrial fibrillation

Author:

Yang T. -F.,Devine B.,Macfarlane P. W.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference22 articles.

1. Baxt, W. G. (1991): ‘Use of an artificial neural network for data analysis in clinical decision-making: the diagnosis of acute coronary occlusion’,Neural Computat.,2, pp. 480–489

2. Boone, J. M., Gross, G. W., andGreco-Hunt, V. (1990): ‘Neural networks in radiologic diagnosis’,Investigat. Radiol.,25, pp. 1012–1023

3. Bortolan, G., Degani, R., andWillems, J. L. (1991): ‘Neural networks for ECG classification’in Ripley, K. L., andMurray, A. (Eds.): ‘Computers in cardiology 1990’ (IEEE Computer Society, Washington) pp. 269–272

4. Bortolan, G., Degani, R., andWillems, J. L. (1992): ‘ECG classification with neural networks and cluster analysis’in Ripley, K. L., andMurray, A. (Eds.): ‘Computers in cardiology 1991’ (IEEE Computer Society, Washington) pp. 177–180

5. Casaleggio, A., Morando, M., andRidella, S. (1991): ‘Neural network for automated anomalous QRS complexes detection’in Ripley, K. L., andMurray, A. (Eds.), ‘Computers in cardiology 1990’ (IEEE Computer Society, Washington) pp. 553–556

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