QRS detection in ECG signals

Abstract

The detection of QRS complexes is of great importance for the analysis of the electrocardiogram (ECG) signal, which traces the activity of the heart. ECG signal is the most used non invasive method to acquire the electrical heart activity. Because of its ease of measurement and its availability, the ECG signal is widely used to identify different types of arrhythmias. In our project, we have used MATLAB to implement two softwares that detect QRS complex by means of both types of digital filters (IIR and FIR). To test the performance of these two implementations, we have used the benchmark MIT-BIH dataset and also we have generated a data base by recording the ECG of different persons at rest and in activity situations, what was done at CDTA by the help of two doctors. Also, the R peak count was done by a doctor from MUSTAPHA Hospital to be able to evaluate our results.