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Currently, there are few studies on intelligent diagnosis of pediatric murmurs due to congenital heart disease (CHD). The purpose of the study was to develop a method of intelligent diagnosis of pediatric CHD murmurs. Phonocardiogram (PCG) signals of 86 children were recorded with 24 children having normal heart sounds and 62 children having CHD murmurs. A segmentation method based on the discrete wavelet transform combined with Hadamard product was implemented to locate the first and the second heart sounds from the PCG signal. Ten features specific to CHD murmurs were extracted as the input of classifier after segmentation. Eighty-six artificial neural network classifiers were composed into a classification system to identify CHD murmurs. The accuracy, sensitivity, and specificity of diagnosis for heart murmurs were 93%, 93.5%, and 91.7%, respectively. In conclusion, a method of intelligent diagnosis of pediatric CHD murmurs is developed successfully and can be used for online screening of CHD in children.<\/jats:p>","DOI":"10.1155\/2020\/9640821","type":"journal-article","created":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T00:00:17Z","timestamp":1589241617000},"page":"1-9","source":"Crossref","is-referenced-by-count":36,"title":["Intelligent Diagnosis of Heart Murmurs in Children with Congenital Heart Disease"],"prefix":"10.1155","volume":"2020","author":[{"given":"Jiaming","family":"Wang","sequence":"first","affiliation":[{"name":"Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, Jiangsu 212013, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"You","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Surgery, Gansu Provincial Hospital, Lanzhou, Gansu 730000, China"},{"name":"Congenital Heart Disease Diagnosis and 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