Title :
Dicrotic notch detection using wavelet transform analysis
Author :
Antonelli, Lynn ; Ohley, William ; Khamlach, Rachid
Author_Institution :
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
Abstract :
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
Keywords :
blood pressure measurement; algorithm; aortic blood pressure signal; cardiac arrhythmias; dicrotic notch detection; heart rate; notch point labeling; systolic time interval analysis; temporal location detection; wavelet transform analysis; Blood pressure; Fourier transforms; Frequency; Heart rate; Signal analysis; Signal processing algorithms; Signal resolution; Testing; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415400
