Nonlinear processing and analysis of ECG data.

A new approach based on a histogram analysis to detect QRS-T complexes of the ECG curve rapidly and reliably is described. The aim consists of a rapid and reliable detection of the P-wave (when atrial fibrillation, AF, is absent) or the f-wave (when AF happens). By means of signal processing techniques such as the fractal dimension method and the Shannon entropy method, two types of ECG signals (with or without AF) were analysed and the significant differences between them documented. Accordingly, the methods allow to determine easily whether AF occurs or not.

[1]  N Mahalingam,et al.  Neural networks for signal processing applications: ECG classification. , 1997, Australasian physical & engineering sciences in medicine.

[2]  Oscar Castillo,et al.  A new method for fuzzy estimation of the fractal dimension and its applications to time series analysis and pattern recognition , 2000, PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500).

[3]  S.N. Tandon,et al.  Using wavelet transforms for ECG characterization. An on-line digital signal processing system , 1997, IEEE Engineering in Medicine and Biology Magazine.

[4]  A. Mannelqvist,et al.  Comparison of fractal analyses methods and fractal dimension for pre-treated stainless steel surfaces and the correlation to adhesive joint strength , 2001 .

[5]  C. Li,et al.  Detection of ECG characteristic points using wavelet transforms. , 1995, IEEE transactions on bio-medical engineering.

[6]  J. S. Sahambi,et al.  A new approach for on-line ECG characterization , 1996, Proceedings of the 1996 Fifteenth Southern Biomedical Engineering Conference.

[7]  Bellie Sivakumar,et al.  Is a chaotic multi-fractal approach for rainfall possible? , 2001 .

[8]  S Akselrod,et al.  Nonlinear high pass filter for R-wave detection in ECG signal. , 1997, Medical engineering & physics.

[9]  R. Orglmeister,et al.  QRS Detection Using Zero Crossing Counts , 2003 .

[10]  Akio Miyazaki,et al.  Detection of QRS Complex in ECG Using a Wavelet Transform , 1997 .

[11]  G. Boudreaux-Bartels,et al.  Wavelet transform-based QRS complex detector , 1999, IEEE Transactions on Biomedical Engineering.

[12]  M Bahoura,et al.  DSP implementation of wavelet transform for real time ECG wave forms detection and heart rate analysis. , 1997, Computer methods and programs in biomedicine.

[13]  R. Orglmeister,et al.  The principles of software QRS detection , 2002, IEEE Engineering in Medicine and Biology Magazine.