title: An adaptive "Wiener" filter for estimating the time-derivative of the left ventricular pressure signal.
abstract: This communication presents 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. 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 DFT technique.
authors.affiliation: Department of Electrical Engineering, Technical University of Nova Scotia, Halifax, Canada.
authors.forename: S
authors.initials: S
authors.lastname: Periyalwar
authors.forename: A E
authors.initials: AE
authors.lastname: Marble
authors.forename: S T
authors.initials: ST
authors.lastname: Nugent
authors.forename: D N
authors.initials: DN
authors.lastname: Swingler
mesh_terms: D000465:Algorithms; D006801:Humans; D008955:Models, Cardiovascular; D011312:Pressure; D012815:Signal Processing, Computer-Assisted; D016276:Ventricular Function