Dicrotic notch detection using wavelet transform analysis

The objective of this research was to devise a method of accurately and consistently extracting the dicrotic notch from the aortic blood pressure signal for various heart rates and arrhythmias. The aortic blood pressure signal has been analyzed by calculating the wavelet transform at several scales to consistently detect the temporal location of the dicrotic notch. The simultaneous locations of the peaks in the wavelet transforms of the first derivative of the aortic pressure waveform across 2 consecutive scales corresponds to the location of the dicrotic notch. A final algorithm analyzes the transform results and labels the notch point. Locating the dicrotic notch is critical for analyzing systolic time interval.

[1]  Dean F. Sittig,et al.  BIO-SPEAD: a parallel computing environment to accelerate development of biologic signal processing algorithms. , 1992, Computer methods and programs in biomedicine.

[2]  Donald W. Tufts,et al.  Transient detection and feature extraction using neural networks , 1993 .

[3]  Martin Vetterli,et al.  Wavelets and filter banks: theory and design , 1992, IEEE Trans. Signal Process..

[4]  Stéphane Mallat,et al.  Characterization of Signals from Multiscale Edges , 2011, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  H A Fozzard,et al.  A real-time pressure algorithm. , 1981, Computers in biology and medicine.