Design and Implementation of A Novel Real Time P-QRS-T Waves Detection Algorithm

Abstract

Electrocardiogram (ECG) contains a large amount of information on physiological and pathological of human body. In a complete cardiac cycle, P, QRS complex and T waves are included, which correspond to the electrical activity of the heart respectively. As an important part of ECG signal processing, characteristic points detection algorithm is of great significance in the calculation and analysis of cardiac-specific parameters in heart disease analysis and heart monitoring system. In order to realize real-time detection of P, QRS complex and T waves, this paper proposes a novel algorithm, which is based on choosing the optimal bandwidth-band pass filter and mainly uses the peak threshold method to detect these waves. This filter achieves QRS complex enhancement and noise reduction simultaneously. After capturing the QRS complex, we further generate a triangular signal to cross-correlate with the main signal, P and T waves were also successfully detected. This algorithm is tested on the MIT-BIH Arrhythmia database, the QT database and evaluated using MATLAB R2016b software.