Heart Sound Separation Using Fast Independent Component Analysis
Zichun Tong, Ikhlas Abdel Qader, Fadi Abu-Amara · 2015
In this paper, we propose a method to separate the heart sound signals based on the assumption that heart sound signals originating from cardiac structures are statistically independent and have non-Gaussian distribution. This assumption cast the problem under blind signal separation where in this paper independent component analysis method is used. The objective of this work is intended to improve detection of cardiac abnormalities and generate a murmur expert system that aids physician in their diagnosis. Results indicate that four independent components out of six mixed signals are successfully separated. The separated signals can be utilized with other patient information for better diagnosis.