PC-Based Detection of ECG Signals, Decomposition and Analysis

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dc.authorscopusid57203169526
dc.authorscopusid15077642900
dc.authorscopusid8945093900
dc.authorscopusid6603504630
dc.contributor.authorSenturk, Ü.
dc.contributor.authorYüceda?, I.
dc.contributor.authorPolat, K.
dc.contributor.authorVarol, H. S.
dc.date.accessioned2021-12-01T18:38:50Z
dc.date.available2021-12-01T18:38:50Z
dc.date.issued2019
dc.department[Belirlenecek]en_US
dc.description2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 -- 28 September 2018 through 30 September 2018 -- -- 144523en_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. © 2018 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2018.8620730
dc.identifier.isbn9781538668788
dc.identifier.scopus2-s2.0-85062528805en_US
dc.identifier.urihttps://doi.org/10.1109/IDAP.2018.8620730
dc.identifier.urihttps://hdl.handle.net/20.500.12684/9864
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018en_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.subjectPan-Tompkins analysisen_US
dc.subjectR-R interval determinationen_US
dc.subjectStatistical analysisen_US
dc.titlePC-Based Detection of ECG Signals, Decomposition and Analysisen_US
dc.typeConference Objecten_US

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