Application of adaptive FTF/FAEST zero tracking filters to noninvasive characterization of the sound pattern caused by coronary artery stenosis before and after angioplasty

M. Akay, Y. M. Akay, W. Welkowitz, J. L. Semmlow, J. Kostis

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

This article presents a new signal processing application that can be used for acoustical detection of coronary artery disease before and after angioplasty. The adaptive Autoregressive (AR) method based on the FTF/FAEST (Fast transversal filters/Fast a posteriori error sequential techniques) is used to track acoustical behavior associated with coronary occlusions. Using the amplitude trajectory of the second pole pair of this method, 9 out of 10 angioplasty patients were correctly identified using a blind protocol without prior knowledge of whether a given recording was made before and after angioplasty. These results were obtained from signals located between 200 and 300 msec after the end of the second heart sound during the diastolic period.

Original languageEnglish (US)
Pages (from-to)9-17
Number of pages9
JournalAnnals of Biomedical Engineering
Volume21
Issue number1
DOIs
StatePublished - Jan 1993

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Keywords

  • Acoustic
  • Adaptive zero tracking filters
  • Coronary artery disease
  • Heart sounds

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