Detection and identification of S1 and S2 heart sounds using wavelet decomposition method  

作　　者：Ali Tavakoli Golpaygani Nahid Abolpour Kamran Hassani D. John Doyle 

机构地区：[1]Biomedical Engineering DepartmentFaculty of Electrical, Mechanical and Construction Engineering Standard Research Institute, Karaj, Iran [2]Department of Physics and Biomedical EngineeringShiraz University of Medical Sciences, Shiraz, Iran [3]Department of Biomechanics, Science and Research Branch Islamic Azad University, Tehran, Iran [4]Department of General AnesthesiologyAnesthesiology Institute, Cleveland Clinic Abu Dhabi Abu Dhabi, UAE

出　　处：《International Journal of Biomathematics》2015年第6期141-155,共15页生物数学学报（英文版）

摘　　要：Phonocardiogram （PCG）, the digital recording of heart sounds is becoming increasingly popular as a primary detection system for diagnosing heart disorders and it is relatively inexpensive. Electrocardiogram （ECG） is used during the PCG in order to identify the systolic and diastolic parts manually. In this study a heart sound segmentation algorithm has been developed which separates the heart sound signal into these parts automa- tically. This study was carried out on 100 patients with normal and abnormal heart sounds. The algorithm uses discrete wavelet decomposition and reconstruction to pro- duce PCG intensity envelopes and separates that into four parts： the first heart sound, the systolic period, the second heart sound and the diastolic period. The performance of the algorithm has been evaluated using 14,000 cardiac periods from 100 digital PCG recordings, including normal and abnormal heart sounds. In tests, the algorithm was over93% correct in detecting the first and second heart sounds. The presented automatic seg- mentation Mgorithm using w^velet decomposition and reconstruction to select suitable frequency band for envelope calculations has been found to be effective to segment PCG signals into four parts without using an ECG.

关 键 词：PHONOCARDIOGRAPHY AUSCULTATION MURMURS wavelet decomposition waveletreconstruction segmentation. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TH776.1[自动化与计算机技术—计算机科学与技术]