“Performance Evaluation of Different Adaptive Filtering Algorithms for Reduction of Heart Sound from Lung Sound”
R. M. Potdar1, Anup Mishra2, Vinni Sharma3, Tripti Roy4
1Mr. R. M. Potdar, Sr. Associate Professor ,Department of Electronics & Telecommunication Engineering, Bhilai Institute of Technology (BIT), Durg , Chhattisgarh, India.
2Dr. Anup Mishra, Professor & Head, Department of Electrical & Electronics Engineering, Bhilai Institute of Technology (BIT), Durg , Chhattisgarh, India.
3Mrs. Vinni Sharma, Associate Professor ,Department of Electronics & Telecommunication Engineering, Bhilai Institute of Technology (BIT), Durg , Chhattisgarh, India.
4Ms. Tripti Roy, Assistant Professor ,Department of Electrical & Electronics Engineering, Maha Maya College of Technology (MMCT), Raipur, Chhattisgarh, India.
Manuscript received on january 17, 2012. | Revised Manuscript received on February 05, 2012. | Manuscript published on February 29, 2012. | PP: 61-67 | Volume-1 Issue-3, February 2012. | Retrieval Number: C0194021312/2011©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Auscultation is the most important and effective clinical technique for evaluating a patient’s respiratory function. Auscultation of the chest is a diagnostic method used by physicians, owing to its simplicity and noninvasiveness. Hence, there is interest in lung sound analysis using time and frequency domain techniques to increase its usefulness in diagnosis. This proposed work is focused on the application of adaptive filtering technique to separate heart sound signal from lung sound signal. Lung sound signal measurements are taken to aid in the diagnosis of various diseases. The aim of this proposed work is to filtering heart sounds from lung sounds. In medicine this separation is made by doctors individually. This may lead to some errors in listening the lung sounds. The method we will use during this separation process is adaptive filtering. We will use Matlab basically while doing mathematical calculations and filtering methods.
Keywords: Auscultation, lung sound, heart sound, adaptive filtering, different adaptive algorithms.