PC-Based Detection of ECG Signals, Decomposition and Analysis

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dc.contributor.authorŞentürk, Ümit
dc.contributor.authorYücedağ, İbrahim
dc.contributor.authorPolat, Kemal
dc.contributor.authorVarol, H. Selçuk
dc.date.accessioned2020-04-30T23:20:37Z
dc.date.available2020-04-30T23:20:37Z
dc.date.issued2018
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYen_US
dc.descriptionWOS: 000458717400011en_US
dc.description.abstractThe number of deaths from heart diseases is increasing rapidly today. Deaths related to heart diseases are caused by heart arrhythmia. Anomalies in the heart can cause a sudden heart attack or permanent damage to the heart. In this study, we designed a new electrocardiography (ECG) device. It was used to diagnose automatic heart anomalies by taking signals from the body surface with the designed device. ECG signals are used for R peak detection using Statistical and Pan-Tompkins analysis methods. R peaks often plays an important role in the diagnosis of heart disease. In the statistical method, which is a new R peak detection method, the digital bandpass filter, the detection of the maximum R wave, the determination of the border point according to the detected R wave, the detection of the r waves by the determined border on the signal will be carried out. In the Pan-Tompkins analysis method, the processes of discarding DC components, bandpass filter, derivation receiver, taking frames, integrating movable window, and determining R waves are performed respectively. 98.9% success in the statistical analysis method performed on the designed ECG instrument measurements and sample signals obtained from the MIT-BIH ECG data bank, and 98.7% accuracy in the Pan-Tompkins analysis method.en_US
dc.description.sponsorshipInonu Univ, Comp Sci Dept, IEEE Turkey Sect, Anatolian Scien_US
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4044
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 International Conference On Artificial Intelligence And Data Processing (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCardiac arrhythmiaen_US
dc.subjectECGen_US
dc.subjectStatistical analysisen_US
dc.subjectPan-Tompkins analysisen_US
dc.subjectR-R interval determinationen_US
dc.titlePC-Based Detection of ECG Signals, Decomposition and Analysisen_US
dc.typeConference Objecten_US

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