Severity Analysis of Mitral Regurgitation Using Multi-Objective Firefly Optimization Method
P. Abdul Khayum1, R. Sudheer Babu2
1Dr. P. Abdul Khayum, G. Pulla Reddy Engineering College, Kurnool, Andhra Pradesh, India.
2R. Sudheer Babu, G. Pulla Reddy Engineering College, Kurnool, Andhra Pradesh, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript Published on 20 March 2019 | PP: 381-385 | Volume-8 Issue- 4S2 March 2019 | Retrieval Number: D1S0083028419/2019©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: Normally the blood flows from left atrium to left ventricle. Mitral valve regurgitation is the spilling of blood in reverse direction from left ventricles to left atrium through mitral valve. Mitral valve regurgitation does not produce any symptoms in its initial state. In this paper, we concentrate on the severity analysis of mitral regurgitation using multi objective firefly optimization method. Severity analysis is done using various steps this includes preprocessing method. Preprocessing techniques reduces the noise, which is present in the image dataset using aquarium-power filter. Subsequently the filtered image performs the multi-objective firefly optimization method to find the severity of the mitral valve regurgitation and the segmentation is done by SVM. Firefly optimization algorithm performs the function of feature extraction, classification and the quantification. From the outcomes, our proposed technique achieves better accuracy in the segmented and optimization method in contrast with the existing technique.
Keywords: Mitral Regurgitation, Mitral valve, SVM Segmentation, Echo Cardiogram, Segmentation, Quantification, Firefly Optimization.
Scope of the Article: Waveform Optimization for Wireless Power Transfer