NI LabVIEW kullanarak EKG Sinyallerinin Gerçek Zamanlı Özellik Çıkarımı

Abstract

This study is based on measuring the Electrocardiogram (ECG) signals from the human body in real-time with the help of the software called NI LabVIEW. Not only the raw ECG signals, the digital filtered version of the ECG signals can also be displayed in real-time by processing the signals using the digital filtering tools of the program. The ECG itself provides various diagnostic information and NI LabVIEW biomedical toolkit offers many tools that helps to process the signals and perform feature extraction. Thus, this software was preferred for the ECG data acquisition. In this project, heart rate of a patient is calculated by detecting R-R intervals on the ECG tracing using the method called Teager Energy. In order to test the system, several experiments have been conducted with 12 subjects (6 non-smokers + 6 smokers). Their ECG signals were taken in relaxed and after running conditions. The experimental results were recorded for the graphical and statistical analysis. According to the results, the effect of smoking to the heart rate was discussed.