SUST Repository

Analysis and Diagnosis of Cardiac Signals(ECG) Using The Wavelet Technique

Show simple item record

dc.contributor.author EL Mahadi, Inas Salah Mahmood
dc.contributor.author Supervisor - Saad Daoud Sulaiman
dc.date.accessioned 2014-08-26T14:52:01Z
dc.date.available 2014-08-26T14:52:01Z
dc.date.issued 2010-12-01
dc.identifier.citation EL Mahadi,Inas Salah Mahmood .Analysis and Diagnosis of Cardiac Signals(ECG) Using The Wavelet Technique/Inas Salah Mahmood EL Mahadi;Saad Daoud Sulaiman.-Khartoum :Sudan University Of Science And Technology,College of Engineering,2010.-60P:ill;28Cm.-M.Sc. en_US
dc.identifier.uri http://repository.sustech.edu/handle/123456789/6898
dc.description Thesis en_US
dc.description.abstract ECG contains very important clinical information about the cardiac activities of heart. The features of small variations in ECG signal with time varying morphological characteristics needs to be extracted by signal processing method because there are not visible of graphical ECG signal. In this work, we have developed and evaluated an electrocardiogram (ECG) feature extraction system based on the multi-resolution wavelet transform. The wavelet transform with scaling function more closely similar to the shape of the ECG (Daubechies wavelets (DWT) and Morlet (CWT)) signal achieved better detection. In the first step, the ECG signal was de-noised by removing the corresponding wavelet coefficients at higher scales. Then, QRS complexes are detected and each complex is used to locate the peaks of the individual waves, including onsets and offsets of the P and T waves which are present in one cardiac cycle. We evaluated the algorithm on MIT-BIH Database, the manually annotated database, for validation purposes. The proposed QRS detector achieved sensitivity of 〖99.18%〗_-^+2.75and a positive predictivity of 〖98.00%〗_-^+4.45over the validation database. en_US
dc.description.sponsorship Sudan University of Science &Technology en_US
dc.language.iso en en_US
dc.publisher Sudan University of Science &Technology en_US
dc.subject Cardiac Signals(ECG) en_US
dc.subject Wavelet Technique en_US
dc.title Analysis and Diagnosis of Cardiac Signals(ECG) Using The Wavelet Technique en_US
dc.title.alternative تحليل وتشخيص إشارات القلب باستخدام تقنية المويجات en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Share

Search SUST


Browse

My Account