Title :
Adaptive estimation of impedance cardiographic signals
Author :
Barros, Allan Kardec ; Yoshizawa, Makoto ; Yasuda, Yoshifumi
Author_Institution :
Dept. of Knowledge-Based Inf. Eng., Toyohashi Univ. of Technol., Japan
Abstract :
An adaptive filter to estimate the deterministic component of the impedance cardiographic signal is presented. This filter removes the noise uncorrelated with the impedance cardiographic signal time-locked to the R-R interval of ECG, using the least mean square (LMS) algorithm. The basic theory and some simulations are presented to verify the the filter performance
Keywords :
adaptive estimation; adaptive filters; cardiology; electric impedance imaging; electrocardiography; least mean squares methods; ECG; R-R interval; adaptive estimation; adaptive filter; deterministic component; impedance cardiographic signals; least mean square algorithm; noise; simulations; Adaptive estimation; Adaptive filters; Cardiography; Electrocardiography; Filtering theory; Fourier series; Impedance; Knowledge engineering; Least squares approximation; Nonlinear filters;
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.1994.415194
