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Intelligent system for heart sound analysis / Ahmed Hamdy Elsayed Gad ; Supervised Hesham A. Hefny , Aboul Ella O. Hassanien

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Hamdy Elsayed Gad , 2015Description: 128 P. : charts , facsimiles ; 30cmOther title:
  • نظام ذكي لتحليل صوت القلب [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science Summary: Truly, heart is successor to the brain in being the most significant vital organ in the human body. Heart, as being a magnificent pump, its performance is orchestrated via a group of valves and highly sophisticated neural control. While the kinetics of the heart is accompanied by sound production, sound waves produced, by the heart, are reliable diagnostic tools to check heart activity. Chronologically, several data sets have been put forward to sneak on the heart performance and lead to medical intervention whenever necessary. The heart sounds data set, utilized, provides researchers with abundance of sound signals that were classified using different classification algorithms. This thesis proposes two approaches; the first is based on machine intelligence; for example NBTree, Multilayer Perceptron and SVM classifiers and some feature selections in order to achieve the objective, and to increase the efficiency of the predication model. The experimental results show achieving the high accuracy by using best classifier with a suitable feature selection in a comparative study
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.02.M.Sc.2015.Ah.I (Browse shelf(Opens below)) Not for loan 01010110068824000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.02.M.Sc.2015.Ah.I (Browse shelf(Opens below)) 68824.CD Not for loan 01020110068824000

Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science

Truly, heart is successor to the brain in being the most significant vital organ in the human body. Heart, as being a magnificent pump, its performance is orchestrated via a group of valves and highly sophisticated neural control. While the kinetics of the heart is accompanied by sound production, sound waves produced, by the heart, are reliable diagnostic tools to check heart activity. Chronologically, several data sets have been put forward to sneak on the heart performance and lead to medical intervention whenever necessary. The heart sounds data set, utilized, provides researchers with abundance of sound signals that were classified using different classification algorithms. This thesis proposes two approaches; the first is based on machine intelligence; for example NBTree, Multilayer Perceptron and SVM classifiers and some feature selections in order to achieve the objective, and to increase the efficiency of the predication model. The experimental results show achieving the high accuracy by using best classifier with a suitable feature selection in a comparative study

Issued also as CD

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