کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10351621 864497 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling of heart systolic murmurs based on multivariate matching pursuit for diagnosis of valvular disorders
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Modeling of heart systolic murmurs based on multivariate matching pursuit for diagnosis of valvular disorders
چکیده انگلیسی
Heart murmurs are pathological sounds produced by turbulent blood flow due to certain cardiac defects such as valves disorders. Detection of murmurs via auscultation is a task that depends on the proficiency of physician. There are many cases in which the accuracy of detection is questionable. The purpose of this study is development of a new mathematical model of systolic murmurs to extract their crucial features for identifying the heart diseases. A high resolution algorithm, multivariate matching pursuit, was used to model the murmurs by decomposing them into a series of parametric time-frequency atoms. Then, a novel model-based feature extraction method which uses the model parameters was performed to identify the cardiac sound signals. The proposed framework was applied to a database of 70 heart sound signals containing 35 normal and 35 abnormal samples. We achieved 92.5% accuracy in distinguishing subjects with valvular diseases using a MLP classifier, as compared to the matching pursuit-based features with an accuracy of 77.5%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 41, Issue 9, September 2011, Pages 802-811
نویسندگان
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