A review of different algorithms for separating heart sound signals from lung sound signals compared the results of four major separation techniques.
This review evaluates and compares algorithms for separating superimposed heart and lung sounds, which is critical for accurate continuous monitoring of critically ill patients.
Breath and cardiac sounds are two major bio sound signals. In this, heart sounds are produced by movement of some body parts such as heart valve, leaflets and the blood flow through the vessels, whereas lung sounds generates due to the air in and out flow through airways during breathing cycle. These two signals are recorded from chest region. These two signals have very high clinical importance for the patient who is critically ill. The lung functions and the cardiac cycles are continuously monitored for such patients with the help of the bio sound signal captured using suitable sensing mechanism or with auscultation techniques. But these two signals mostly superimpose with each other, so the separation of these heart sound signals (HSS) and the lung sound signals (LSS) is of great research interest. There are so many different techniques proposed for this purpose. In this paper, a study is carried out on different algorithms used for the separation of HSS from LSS, and also the results of major four separation algorithms are compared.
Nersisson et al. (Fri,) conducted a review in Critically ill patients requiring continuous monitoring. Heart sound and lung sound separation algorithms was evaluated. A review of different algorithms for separating heart sound signals from lung sound signals compared the results of four major separation techniques.