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 analy...

In this study, we develop a new automated pattern recognition system for interpretation of heart sound based on wavelet decomposition of signals and classification using neural network. Inputs to the system are the heart sound signals acquired by a stethoscope in a noiseless environment. We generate features for the objective concise representation of heart sound signals by means of wavelet dec...

Circulation 53: 752, 1976 4. Braunwald E, Morrow AG: Sequence of ventricular contraction in human bundle branch block. Am J Med 23: 205, 1957 5. Haber E, Leatham A: Splitting of heart sounds from ventricular asynchrony in bundle branch block, ventricular ectopic beats and artificial pacing. Br Heart J 27: 691, 1965 6. Waider W, Craige E: First heart sound and ejection sounds. Am J Cardiol 35: 3...

Circulation 53: 752, 1976 4. Braunwald E, Morrow AG: Sequence of ventricular contraction in human bundle branch block. Am J Med 23: 205, 1957 5. Haber E, Leatham A: Splitting of heart sounds from ventricular asynchrony in bundle branch block, ventricular ectopic beats and artificial pacing. Br Heart J 27: 691, 1965 6. Waider W, Craige E: First heart sound and ejection sounds. Am J Cardiol 35: 3...

This study was conducted on 384 clinically healthy sheep and goats from farms around Tehran suburb. The animals were divided into two equal groups (according to species) and then assigned into three age groups, two gender groups and female animals into two groups: late pregnant and non-pregnant. Heart sounds were auscultated by two cardiologists and heart rate and probable murmurs were recorded...

OBJECTIVE Heart sound segmentation is a prerequisite step for the automatic analysis of heart sound signals, facilitating the subsequent identification and classification of pathological events. Recently, hidden Markov model-based algorithms have received increased interest due to their robustness in processing noisy recordings. In this study we aim to evaluate the performance of the recently p...

A prototype of a simple and non-invasive system to remotely monitor of the real-time heart rate of patients or individuals based on phonocardiography, the study of heart sounds has been developed. This system consists of five modules. The first module, namely the front-end modules is used to acquire and capture heart sound signals. This article presents a real time system for the heart ausculta...