An Adaptive “Wiener” Filter for Estimating the Time-Derivative of the Left Ventricular Pressure Signal

S. Periyalwar, A. E. Marble, S. T. Nugent, D. N. Swingler

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)417-420
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
Volume37
Issue number4
DOIs
Publication statusPublished - 1990

ASJC Scopus Subject Areas

  • Biomedical Engineering

PubMed: MeSH publication types

  • Journal Article

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Periyalwar, S., Marble, A. E., Nugent, S. T., & Swingler, D. N. (1990). An Adaptive “Wiener” Filter for Estimating the Time-Derivative of the Left Ventricular Pressure Signal. IEEE Transactions on Biomedical Engineering, 37(4), 417-420. https://doi.org/10.1109/10.52349