A novel and robust method for heart sound activity detection (HSAD) is presented. In this method, a new discriminative feature is developed based on the lag-1 autocorrelation coefficient and feature smoothing is introduced to identify the endpoints of low-level heart murmurs. Several experiments on a large scale phonocardiogram database show that the method significantly outperforms the other HSAD methods under varying levels of heart sounds and different types of noise. For a signal-to-noise ratio of 5 dB, the method ...
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S. M Manikandan and Dr. Soman K. P., “Robust Heart Sound Activity Detection in Noisy Environments”, Electronics letters, vol. 46, pp. 1100–1102, 2010.