A generic algorithm for the segmentation of cardiac sounds is presented in the paper. It is based on the extraction of simple parameters from the heart beat. The proposed approach does not require synchronization with electrocardiogram. It is designed to work even in the case of cardiac anomalies. Segmentation represents a first step toward an automatic diagnosis of cardiac diseases. All procedures were implemented in a software tool. Segmentation algorithm was tested with actual cardiac sounds, showing a good success rate.
A generic end-point detection algorithm for cardiac sounds / D. della Giustina, M. Fanfulla, M. Malcangi, F. Belloni, M. Riva - In: Advances in Mathematical and Computational Methods / [a cura di] L. Rogozea. - Stevens Point, USA : WSEAS Press, 2010. - ISBN 9789604742431. - pp. 181-186 (( Intervento presentato al 12. convegno WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering (MACMESE'10) tenutosi a Faro nel 2010.
A generic end-point detection algorithm for cardiac sounds
D. della GiustinaPrimo
;M. Malcangi;F. BelloniPenultimo
;M. RivaUltimo
2010
Abstract
A generic algorithm for the segmentation of cardiac sounds is presented in the paper. It is based on the extraction of simple parameters from the heart beat. The proposed approach does not require synchronization with electrocardiogram. It is designed to work even in the case of cardiac anomalies. Segmentation represents a first step toward an automatic diagnosis of cardiac diseases. All procedures were implemented in a software tool. Segmentation algorithm was tested with actual cardiac sounds, showing a good success rate.
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