The main obstacle in development of intelligent autodiagnosis medical systems based on
the analysis of phonocardiography (PCG) signals is noise. The noise can be caused by …

There is potential for the use of mobile phones to remotely identify patients with a high risk of
heart conditions using automated auscultation. However, accurate heart sound analysis is …

Accurate heart rate estimation is a fundamental process when analysing phonocardiograms
(PCGs). While this is trivial in noise-free recordings, it becomes a difficult task in PCGs …

In this paper we explore a novel feature for the segmentation of heart sounds: the entropy
gradient. We are motivated by the fact that auscultations in real environments are highly …

This paper details a new method for heart sounds segmentation based on Teager energy
operator which, to the best of our knowledge, is used for the first time in this work to perform …

It is estimated that between 15.6 and 19.6 million people are living with rheumatic heart
disease (RHD) worldwide, accounting for about one million deaths annually and 60% of …

We present a Matlab framework for heart sound processing and analysis. This framework
includes algorithms developed for segmentation of the main heart sound components …

Аускультація є оперативним і економічно вигідним методом. Електронна аускультація
усуває суб'єктивність, дозволяє покращити реєстрацію, запис серцевих звуків. Мета …