INTELLIGENT PHONOCARDIOGRAM ANALYSIS AND REPRESENTATION TOOL

Authors

Abstract

Cardiac auscultation is a highly sensitive, specific, cost effective and comfortable diagnosis technique for
many cardiovascular diseases. Unfortunately, it is observed that the art of auscultation is mastered by an increasingly
lower number of medical professionals. This paper presents a Matlab tool to support physicians in
performing auscultation. This application enables real time signal acquisition using off-the-shelf sensors and
performs several automatic annotation functions of heart sounds, such as noise contamination detection, segmentation
into S1, S2 and S3, S2-split detection, murmur detection and classification, systolic time intervals
measurement, contractility and stroke volume. These are related to the most pertinent clinical applications of
this signal. Moreover, it can also be used for auscultation training.

Keywords

Phonocardiogram Analysis, eHealth, Intelligent Stethoscope

Subject

medical informatics

Related Project

SoundForLife

Conference

Biosignals - International Conference on Bio-inspired Systems and Signal Processing, January 2011

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