Modeling respiration from blood pressure waveform signals: an independent component approach

Author

Shannon, T.T. ; McNames, J. ; Ellenb, M.S. ; Goldstein, B.

Author_Institution

Biomed. Signal Process. Lab., Portland State Univ., OR, USA

Volume

1

fYear

2002

fDate

2002

Firstpage

200

Abstract

We describe a method for extracting the additive effect of respiration from arterial blood pressure and central venous pressure waveform signals. Our method estimates a finite impulse response (FIR) separating filter using an independent component approach, analogous to minimizing the coherence of the separated components. We compare the extracted respiration component with the impedance based respiration signal and with a respiration estimate extracted using an LMS-optimal bandpass filter of comparable order.

Keywords

FIR filters; blind source separation; blood pressure measurement; electric impedance measurement; filtering theory; independent component analysis; medical signal processing; patient monitoring; physiological models; pneumodynamics; signal sampling; 0.6 Hz; 125 Hz; 3.4 Hz; FIR filter; LMS-optimal bandpass filter; additive respiratory component; arterial blood pressure; blind source separation; blood pressure waveform signals; central venous pressure; finite impulse response separating filter; impedance based respiration signal; independent component analysis; independent component approach; patient monitoring; respiration estimate; signal sampling; Arterial blood pressure; Band pass filters; Blood pressure; Finite impulse response filter; Frequency estimation; Heart rate; Hospitals; Independent component analysis; Laboratories; Pediatrics;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1134455

Filename

1134455