Conference Paper

Intelligent Phonocardiogram Analysis and Representation Tool

Conference: HEALTHINF 2011 - Proceedings of the International Conference on Health Informatics, Rome, Italy, 26-29 January, 2011
Source: DBLP

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.

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    ABSTRACT: Abstract Valvular heart disease is a serious heart condition that is difficult to diagnose in ambulatory settings. Heart sounds is one of the most relevant diagnosis signals in this context. The time interval between the two internal components of the two heart sounds in the medical field known as 'split' was considered by many researchers and one study is described as the key medical diagnosis by many clinicians. Compared to the energy envelope Shannon Hilbert envelope is greater awareness of the internal components of the first and second heart sound. The morphology of this envelope will allow one to apply the necessary tests for the temporal localization of the internal components of the two heart sounds. According to the results obtained, the Hilbert envelope is an approach and representation taking into account the physiological attenuation and giving a good separation.
    Journal of Medical Engineering & Technology 04/2013; 37(3):220-30. DOI:10.3109/03091902.2013.786154

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