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     Research Journal of Applied Sciences, Engineering and Technology


Application of Adaptive Line Enhancer with LMS to Separate Heart Sound Signal from Lung Sound Signal at Real Time

K. Sathesh and N.J.R. Muniraj
Department of ECE, Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamilnadu, India
Research Journal of Applied Sciences, Engineering and Technology  2015  6:448-453
http://dx.doi.org/10.19026/rjaset.9.1424  |  © The Author(s) 2015
Received: October ‎10, 2014  |  Accepted: November ‎10, ‎2014  |  Published: February 25, 2015

Abstract

This study presents a technique for separation of Heart Sound Signal (HSS) from Lung Sound Signal (LSS) using Adaptive Line Enhancer (ALE) with Least Mean Square (LMS) algorithm with real time recorded sound signal. While recording lung sounds, an incessant noise source takes place owing to heart sounds. This noise source severely contaminates the breath sound signal and interferes in the analysis of lung sounds. The proposed system is applied with different filter order and the results show the error rate of the Desired Sound Signal (DSS), Signal to Noise Ratio (SNR) and execution time.

Keywords:

Error rate , execution time, heart sound signal, LMS algorithm, lung sound signal , signal to noise ratio,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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