Universiti Teknologi Malaysia Institutional Repository

Acoustic cardiac signals analysis: a Kalman filter-based approach

Shaikh Salleh, Sheikh Hussain and Tian, Swee Tan and Mohd. Noor, Alias and Ali, Jalil and Sheikh Hussain, Siti Hadrina and Ting, Chee Ming and Pipatsarat, Surasak and Yupapin, Preecha P. (2012) Acoustic cardiac signals analysis: a Kalman filter-based approach. International Journal of Nanomedicine, 7 . pp. 2873-2881. ISSN 1176-9114

Full text not available from this repository.

Official URL: http://dx.doi.org/10.2147/IJN.S32315

Abstract

Auscultation of the heart is accompanied by both electrical activity and sound. Heart auscultation provides clues to diagnose many cardiac abnormalities. Unfortunately, detection of relevant symptoms and diagnosis based on heart sound through a stethoscope is difficult. The reason GPs find this difficult is that the heart sounds are of short duration and separated from one another by less than 30 ms. In addition, the cost of false positives constitutes wasted time and emotional anxiety for both patient and GP. Many heart diseases cause changes in heart sound, waveform, and additional murmurs before other signs and symptoms appear. Heart-sound auscultation is the primary test conducted by GPs. These sounds are generated primarily by turbulent flow of blood in the heart. Analysis of heart sounds requires a quiet environment with minimum ambient noise. In order to address such issues, the technique of denoising and estimating the biomedical heart signal is proposed in this investigation. Normally, the performance of the filter naturally depends on prior information related to the statistical properties of the signal and the background noise. This paper proposes Kalman filtering for denoising statistical heart sound. The cycles of heart sounds are certain to follow first-order Gauss-Markov process. These cycles are observed with additional noise for the given measurement. The model is formulated into state-space form to enable use of a Kalman filter to estimate the clean cycles of heart sounds. The estimates obtained by Kalman filtering are optimal in mean squared sense.

Item Type:Article
Uncontrolled Keywords:Nanomedicine
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Biosciences and Medical Engineering
ID Code:46557
Deposited By: Haliza Zainal
Deposited On:22 Jun 2015 13:56
Last Modified:13 Sep 2017 16:18

Repository Staff Only: item control page