Filtering Noncorrelated Noise in Impedance Cardiography

Allan Kardec Barros, Makoto Yoshizawa, Yoshifumi Yasuda

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

Impedance cardiography (ICG) may be altered by noises as respiration and movement artifacts, mainly during exercise. In this work, a scaled Fourier linear combiner (SFLC) event-related to the R-R interval of ECG is proposed. It estimates the deterministic component of the impedance cardiographic signal and removes the noises uncorrelated to this interval. The impedance cardiographic signal is modeled as Fourier series with the coefficients estimated by the least mean square (LMS) algorithm. Simulations have been carried out to evaluate the filter performance for different noise conditions. Moreover, the method capability to remove uncorrelated noises was also examined in physiological data obtained in rest and exercise, by synchronizing respiration and pedaling with a metronome. Analyzing the ICG power spectrum, it was concluded that the proposed filter could remove the noises that are not synchronized with heart rate.

Original languageEnglish
Pages (from-to)324-327
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
Volume42
Issue number3
DOIs
Publication statusPublished - 1995 Mar

ASJC Scopus subject areas

  • Biomedical Engineering

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