Detection of QRS Complex with the Use of Matched Filtering

Abstract

In recent years the ECG signal feature parameters play an important role in diagnosing, forecasting and analyzing heart diseases. In this paper, we present a new approach for using matched filtering method for the purpose of QRS complex detection. The method is based on the following steps: pre-processing, matched filtering and algorithm for QRS complex detection. To evaluate the proposed technique, the well known Physiobank Database: the PTB Diagnostic ECG database has been used. The proposed algorithm allows to achieve high detection of R-peak in ECG signal, as it will be shown in the last section. The application of the new method is a simple and efficient way to improve the accuracy of removal artefacts in ECG signal and QRS complex detection.