Şentürk, ÜmitYücedağ, İbrahimPolat, KemalVarol, H. Selçuk2020-04-302020-04-302018978-1-5386-6878-8https://hdl.handle.net/20.500.12684/4044International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYWOS: 000458717400011The 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.trinfo:eu-repo/semantics/closedAccessCardiac arrhythmiaECGStatistical analysisPan-Tompkins analysisR-R interval determinationConference ObjectN/A