%0 Journal Article 
%A Martínez Cabeza De Vaca Alajarín, Juan de la Cruz
%A Ruiz Merino, Ramón Jesús
%T Efficient method for events detection in phonocardiographic signals
%D 2005
%U http://hdl.handle.net/10317/1416
%X The auscultation of the heart is still the first basic analysis tool used to evaluate the functional state of the
heart, as well as the first indicator used to submit the patient to a cardiologist. In order to improve the diagnosis
capabilities of auscultation, signal processing algorithms are currently being developed to assist the physician at
primary care centers for adult and pediatric population. A basic task for the diagnosis from the phonocardiogram
is to detect the events (main and additional sounds, murmurs and clicks) present in the cardiac cycle. This is
usually made by applying a threshold and detecting the events that are bigger than the threshold. However,
this method usually does not allow the detection of the main sounds when additional sounds and murmurs
exist, or it may join several events into a unique one. In this paper we present a reliable method to detect
the events present in the phonocardiogram, even in the presence of heart murmurs or additional sounds. The
method detects relative maxima peaks in the amplitude envelope of the phonocardiogram, and computes a set
of parameters associated with each event. Finally, a set of characteristics is extracted from each event to aid
in the identification of the events. Besides, the morphology of the murmurs is also detected, which aids in the
differentiation of different diseases that can occur in the same temporal localization. The algorithms have been
applied to real normal heart sounds and murmurs, achieving satisfactory results.
%K Electrónica
%K Fonocardiograma (FCG)
%K Soplos cardíacos
%K Detección de eventos
%K Segmentación
%K Procesamiento de señales
%K Phonocardiogram
%K Heart murmurs
%K Event detection
%K Segmentation
%K Signal processing
%~ GOEDOC, SUB GOETTINGEN