Heart model based ECG signal processing

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 36, Issue 15, 2003, Pages 213-217

  Szilagyi S M ^a   Benyo Z ^b   David L ^a  

^a SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Heart wall motions; Medical applications; Models; Neural network; Real time systems; Signal processing

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; DIAGNOSIS; FUNCTIONS; HEART; INTERACTIVE COMPUTER SYSTEMS; MEDICAL APPLICATIONS; MODELS; NEURAL NETWORKS; PROCESSING; RANDOM PROCESSES; REAL TIME SYSTEMS; SIGNAL PROCESSING; STOCHASTIC SYSTEMS;

CELL MODEL; ECG SIGNAL PROCESSING; HEART MODEL; HEART WALL MOTION; PHYSIOLOGICAL PROCESS; STOCHASTIC PROCESSING;

PHYSIOLOGICAL MODELS;

EID: 80052529837     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)33503-6     Document Type: Conference Paper

References (14)

1. Benyo Z., Czinege L. (1997), Computer Analysis of Dynamic Systems with Application in Physiology, World Congress of/MACS on Scientific Computation, Modelling and Applied Mathematics. Berlin, III., pp. 663-668.
2. Cuiwei Li, Chongxun Zheng, Changfeng Tai (1995) Detection of ECG Characteristic Points Using Wavelet Transforms, IEEE Trans. Biomed. Eng., 42., pp 21-27.
3. Huiskamp G. (1998), Simulation of Depolarization in a Membrane-Equation-Based Model of the Anisotropic Ventricle, IEEE Trans. Biomed. Eng, 45., pp 847-855.
4. MacLeod R. S., Brooks D. H. (1998), Recent Progress in Inverse Problems in Electrocardiology, IEEE Eng. in Med. and Biology, pp. 73-83.
5. Qiuzhen Xue, Yu Hen Hu, Tompkins W. J. (1992), Neural-Network-Based Adaptive Matched Filtering for QRS Detection, IEEE Trans. Biomed. Eng., 39., pp 317-329.
6. Quan W., Evans S. J., Hastings H. M. (1998), Efficient Integration of a realistic Two-dimensional Cardiac Tissue Model by Domain Decomposition, IEEE Trans. Biomed. Eng., 45, pp. 372-384.
7. Ramon C, Czapski P., Haueisen J., Huntsman L. L., Nowak H., Bardy G. H., Leder U., Kim Y., Nelson J. A. (1998), MCG Simulations with a Realistic Heart-Torso-Model, IEEE Trans. Biomed. Eng, 45., pp. 1323-1331.
8. Szilagyi S. M., Szilagyi L., Frigy A., Incze A. (1996), Holter Telemetry in the Study of Heart Rate Variability, Romanian Heart Journal, 2., Nr. 6, pp. 143.
9. Szilagyi S. M., Szilagyi L., David L., (1997a), ECG signal compression using adaptive prediction, IEEE Conference on Engineering in Medicine and Biology, Chicago, 19., pp 101-104.
10. Szilagyi S. M., Szilagyi L., David L., (1997b), Comparison between neural-network-based adaptive filtering and wavelet transform for ecg characteristic points detection, IEEE Conference on Engineering in Medicine and Biology, 19., pp. 272-274.
11. Szilagyi S. M. (1998), Event Recognition, Separation and Classification from ECG Recordings, IEEE Conference on Engineering in Medicine and Biology, 20., pp. 236-239
12. Szilagyi S. M. (1999), Non-Linear Adaptive Prediction Based ECG Signal Filtering, IEEE Conference on Engineering in Medicine and Biology, Atlanta, 21., pp. 286.
13. Szilagyi S. M. (2000), The Limits of Heart-Model-Based Computerized ECG Diagnosis, World Congress on Medical Physics and Biomedical Engineering, Chicago, WE-CXH-147.
14. Thaker N. V., Ferrero J. M. (1998), Electrophysiologic Models of Heart Cells and Cell Networks, IEEE Eng. in Med. and Biology, pp. 73-83.