Title :
Segmentation of S1–S2 sounds in phonocardiogram records using wavelet energies
Author :
Mustafa Yamacli;Zumray Dokur;Tamer Olmez
Author_Institution :
Department of Electronics and Communication Engineering, Istanbul Technical University, 34469 Maslak, Turkey
Abstract :
Locating S1 and S2 sounds in order to diagnose diseases by classifying through the determination of systole and diastole phases is of great significance. The method suggested in this study is available for the segmentation of S1-S2 sounds in heart sounds (HSs) acquired in real-time and it also renders the classifying possible, thereby ensuring a correct diagnosis.
Keywords :
"Heart","Performance evaluation","Cardiovascular diseases","Filtering","Cardiac disease","Wavelet transforms","Blood","Discrete wavelet transforms","Acoustical engineering","Noise robustness"
Conference_Titel :
Computer and Information Sciences, 2008. ISCIS ´08. 23rd International Symposium on
Print_ISBN :
978-1-4244-2880-9
DOI :
10.1109/ISCIS.2008.4717964
