Adaptive estimation of impedance cardiographic signals

Allan Kardec Barros, Makoto Yoshizawa, Yoshifumi Yasuda

Research output: Contribution to journalConference articlepeer-review

Abstract

In this work an adaptive filter to estimate the deterministic component of the impedance cardiographic signal is presented. This filter removes the noise uncorrelated with the impedance cardiographic signal time-locked to the R-R interval of ECG, using the least mean square (LMS) algorithm. The basic theory and some simulations are presented to verify the filter performance.

Original languageEnglish
Pages (from-to)882-883
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume16
Issue numberpt 2
Publication statusPublished - 1994 Dec 1
Externally publishedYes
EventProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA
Duration: 1994 Nov 31994 Nov 6

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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