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Using Reduced Interference Distribution to Analyze Abnormal Cardiac Signal Cover

Using Reduced Interference Distribution to Analyze Abnormal Cardiac Signal

By: Allam Mousa and  Rashid Saleem  
Open Access
|Jul 2011

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.

DOI: https://doi.org/10.2478/v10187-011-0028-9 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 168 - 172
Published on: Jul 1, 2011
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2011 Allam Mousa, Rashid Saleem, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.

Volume 62 (2011): Issue 3 (May 2011)