A QRS Complex Detection Algorithm Based on Mathematical Morphology and Envelope

The QRS complex detection is very important to ECG analysis. This paper aims to present an algorithm of QRS complex detection based on mathematical morphology and envelope. Baseline wandering is removed from ECG signal by morphological method. Then the signal gets the envelope through a low-pass filter, improving signal-to-noise. The performance of the algorithm is evaluated with MIT-BIH database. The algorithm gets the high detection rate (99.79%) and high speed.