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A novel heart-mobile interface for detection and classification of heart sounds. Biomed Signal Process Control 2018. [DOI: 10.1016/j.bspc.2018.05.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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DAOUD BOUTANA, NAYAD KOURAS, BRAHAM BARKAT, MESSAOUD BENIDIR. HEART MURMURS DETECTION AND CHARACTERIZATION USING WAVELET ANALYSIS WITH RENYI ENTROPY. J MECH MED BIOL 2017. [DOI: 10.1142/s0219519417500932] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Phonocardiogram signals (PCGs) represent a nonstationary signal due to their complicated production. Also, during the registration they may be added with different noise and pathological murmurs. Indeed, in real situation, the heart sound signal (HSs) may present some abnormal murmur characterizing a variety of heart diseases. This work deals with the segmentation of pathological PCGs based on the Discrete Wavelet Transform (DWT) which permits signal decomposition in different frequency bands. After the decomposition step, we estimate the Renyi Entropy (RE) of the detail coefficients. Then, we apply a threshold allowing detecting the murmur of the PCGs. After the detection, we characterize the results in time–frequency domain in order to extract some features such as frequency band, peak frequency and time duration of the abnormal murmur. The validation of the method is evaluated and proved using some pathological PCGs such as: Early Aortic Stenosis (EAS), Late Aortic Stenosis (LAS), Mitral Regurgitation (MR), Aortic Regurgitation (AR), Opening Snap (OS) and Pulmonary Stenosis (PS). The method presents good results in terms of the detection and the characterization of the main components and the abnormal murmurs associated with some valves disease.
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Affiliation(s)
- BOUTANA DAOUD
- Department of Electronics, University of Jijel, BP 98, Jijel 18000, Algeria
| | - KOURAS NAYAD
- Department of Electronics, University of Jijel, BP 98, Jijel 18000, Algeria
| | - BARKAT BRAHAM
- The University of Khalifa for Science and Technology, The Petroleum Institute PO Box 2533, Abu Dhabi, UAE
| | - BENIDIR MESSAOUD
- Laboratoire des Signaux et Systemes, Supelec, Université Paris-Sud, 91192 Gif-sur-Yvette, France
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Quteishat A, Chee Peng Lim, Kay Sin Tan. A Modified Fuzzy Min–Max Neural Network With a Genetic-Algorithm-Based Rule Extractor for Pattern Classification. ACTA ACUST UNITED AC 2010. [DOI: 10.1109/tsmca.2010.2043948] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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