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

doi:10.1109/10.52349

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

Medicine

Medicine

Résultat de recherche: Article › examen par les pairs

3 Citations (Scopus)

Résumé

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.

Langue d'origine	English
Pages (de-à)	417-420
Nombre de pages	4
Journal	IEEE Transactions on Biomedical Engineering
Volume	37
Numéro de publication	4
DOI	https://doi.org/10.1109/10.52349
Statut de publication	Published - 1990

ASJC Scopus Subject Areas

Biomedical Engineering

PubMed: MeSH publication types

Journal Article

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10.1109/10.52349

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

Résumé

ASJC Scopus Subject Areas

PubMed: MeSH publication types

Accès au document

Autres fichiers et liens

Empreinte numérique

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