Title :
An adaptive ´Wiener´ filter for estimating the time-derivative of the left ventricular pressure signal
Author :
Periyalwar, S. ; Marble, A.E. ; Nugent, S.T. ; Swingler, D.N.
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. of Nova Scotia, Halifax, NS, Canada
fDate :
4/1/1990 12:00:00 AM
Abstract :
The development of an optimal digital differentiating filter based on the Wiener theory for estimating the peak derivative of the left ventricular pressure (LVP) signal is discussed. The magnitude coherence function is used to estimate the signal and noise spectra. The peak derivative obtained by this method is found to be within 2% of the results obtained by a seven-point second-order data fit and a discrete Fourier transform technique.
Keywords :
adaptive filters; biomedical measurement; cardiology; digital filters; haemodynamics; signal processing; adaptive Wiener filter; discrete Fourier transform technique; left ventricular pressure signal; magnitude coherence function; optimal digital differentiating filter; peak derivative; time-derivative; Adaptive filters; Additive noise; Digital filters; Frequency estimation; Heart; Muscles; Power harmonic filters; Signal processing; Signal to noise ratio; Wiener filter; Algorithms; Heart Ventricles; Humans; Models, Cardiovascular; Pressure; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
