Algorithms for separation of heart sounds from background lung sound noises are vital for
accurate diagnosis of heart diseases. In this paper, an improved adaptive noise cancellation …

The adaptive algorithm satisfies the present needs on technology for diagnosis biosignals
as lung sound signals (LSSs) and accurate techniques for the separation of heart sound …

Cancellation of acoustic interferences from lung sound recordings is a challenging task.
Lung sound signals (LSS) provide critical analysis of lung functions. Lung diseases are …

Advanced processing of lung sound (LS) recording is a significant means to separate heart
sounds (HS) and combined low frequency noise from instruments (NI), with saving its …

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 …

Interference often occurs between the lung sound (LS) and the heart sound (HS). Due to the
overlap in their frequency spectrums, it is difficult to separate them. This paper proposes a …

Increasing the accuracy and efficiency of cardiopulmonary disease screening is crucial, as
cardiovascular illnesses pose a serious threat to human health and result in numerous …

Adaptive Filtering is an accepted method to intelligently remove the heart sound from the
lung sounds. However the drawback of the adaptive noise canceling scheme is the need of …

Separating lung sound (LS) from breath sound (BS) recording has been of interest to doctors
and researchers in the last two decades. Many algorithms have been developed to solve …

This paper presents a theoretical foundation for the newly developed methodology that
enables the prediction of blood pressures based on the heart sounds measured directly on …