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003 EG-GiCUC
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008 170617s2016 ua dh f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.20.01.M.Sc.2016.Kh.I
100 0 _aKhaled Waleed Younis Rjoob
245 1 0 _aImproving the recognition of heart murmur /
_cKhaled Waleed Younis Rjoob ; Supervised Magd Ahmed Kotb , Hesham N. Elmahdy , Mohammed Ahmed Ahmed Refaey
246 1 5 _aتحسين التعرف علي أصوات القلب الغير طبيعية
260 _aCairo :
_bKhaled Waleed Younis Rjoob ,
_c2016
300 _a66 Leaves :
_bcharts , facsimiles ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology
520 _aThis study built a classi{uFB01}cation model using hidden markov model (HMM) to recognize heart murmur and chest sounds. Diagnosis of congenital heart and chest defects is challenging, with some being diagnosed during pregnancy while others are diagnosed after birth or later on. Prompt diagnosis allows early intervention and best prognosis. Contemporary diagnosis relies upon the clinical examination, pulse oxime- tery, chest X-ray, electrocardiogram (ECG), echocardiography (ECHO), computed tomography (CT) and cardiac catheterization. These diagnostic modalities reliable upon recording electrical activity, sound waves or upon radiation. Yet, some of congenital heart and pulmonary diseases are still misdiagnosed be- cause of level of physician expertise. In an attempt to improve recognition of heart and chest sounds, we built a classi{uFB01}cation model for heart murmur and chest sounds recognition using hidden markov model (HMM). This study used mel frequency cepes- tral coe{uFB03}cient (MFCC) as a feature and 13 MFCC coe{uFB03}cients
530 _aIssued also as CD
653 4 _aHeart Murmur
653 4 _aHidden Markov Model (HMM)
653 4 _aMel Frequency Cepestral Coefficient (MFCC)
700 0 _aHesham N. Elmahdy ,
_eSupervisor
700 0 _aMagd Ahmed Kotb ,
_eSupervisor
700 0 _aMohammed Ahmed Ahmed Refaey ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aShimaa
_eCataloger
942 _2ddc
_cTH
999 _c61271
_d61271