<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Due to the non-stationary, multicomponent nature of biomedical signals, the use of time-frequency analysis can be inevitable for these signals. The choice and selection of the proper Time-Frequency Distribution (TFD) that can reveal the exact multicomponent structure of biological signals is vital in many applications, including the diagnosis of medical abnormalities. In this paper, the instantaneous frequency techniques using two distribution functions are applied for analysis of biological signals. These distributions are the Wigner-Ville Distribution and the Bessel Distribution. The simulation performed on normaland abnormal cardiac signals show that the Bessel Distribution can clearly detect the QRS complexes. However, Wigner-Ville Distribution was able to detect the QRS complexes in the normal signa, but fails to detect these complexes in the abnormal cardiac signal.</p></abstract>

Due to the non-stationary, multicomponent nature of biomedical signals, the use of time-frequency analysis can be inevitable for these signals. The choice and selection of the proper Time-Frequency Distribution (TFD) that can reveal the exact multicomponent structure of biological signals is vital in many applications, including the diagnosis of medical abnormalities. In this paper, the instantaneous frequency techniques using two distribution functions are applied for analysis of biological signals. These distributions are the Wigner-Ville Distribution and the Bessel Distribution. The simulation performed on normaland abnormal cardiac signals show that the Bessel Distribution can clearly detect the QRS complexes. However, Wigner-Ville Distribution was able to detect the QRS complexes in the normal signa, but fails to detect these complexes in the abnormal cardiac signal.

Using Reduced Interference Distribution to Analyze Abnormal Cardiac Signal

Electrical Engineering Department, An Najah University

School of Electrical and Electronic Engineering, University of Manchester, UK

Journal of Electrical Engineering

{"article-title":"Using Reduced Interference Distribution to Analyze Abnormal Cardiac Signal"}

Due to the non-stationary, multicomponent nature of biomedical signals, the use of time-frequency analysis can be inevitable for these signals. The choice and...

Using Reduced Interference Distribution to Analyze Abnormal Cardiac Signal

Online veröffentlicht: 01. Juli 2011

Seitenbereich: 168 - 172

DOI: https://doi.org/10.2478/v10187-011-0028-9

Schlüsselwörter
time frequency distribution, cardiac signal, Wigner-Ville distribution, ECG, TFD

This content is open access.

Using Reduced Interference Distribution to Analyze Abnormal Cardiac Signal

Online veröffentlicht: 01. Juli 2011

Seitenbereich: 168 - 172

DOI: https://doi.org/10.2478/v10187-011-0028-9

Schlüsselwörtertime frequency distribution, cardiac signal, Wigner-Ville distribution, ECG, TFD

This content is open access.

Schlüsselwörter
time frequency distribution, cardiac signal, Wigner-Ville distribution, ECG, TFD