The Analysis of Heart Sounds Based on Linear and High Order Statistical Methods

Abstract

This paper investigates the applicability of high order statistical autoregressive (AR-HOS) modeling method in analyzing biomedical signals. The autoregressive (AR) method using linear prediction and AR-HOS method using cumulants are applied on normal and pathological heart sound signals. It is found that the AR-HOS modeling a signal produce more accurate and higher resolution spectrum than AR modeling.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411080

Entities

People

  • Burhan Ergen
  • Yetkin Tatar

Organizations

  • Fırat University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Signals
  • Acquisition
  • Algorithms
  • Background Noise
  • Classification
  • Coefficients
  • Computational Complexity
  • Data Acquisition
  • Frequency
  • Heart Diseases
  • Information Science
  • Myocardial Ischemia
  • Pathologic Constriction
  • Power Spectra
  • Spectra
  • Statistical Analysis

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Statistical inference.

Technology Areas

  • Biotechnology