Design of an Effective Algorithm for ECG QRS Detection using VHDL

ECG (Electrocardiogram) is said to be a golden tool for diagnosis of various heart related diseases, it is considered as a standard for heart rate monitoring. QRS complex is the most striking feature within the ECG. Great clinical information can be derived from its features. Identification of these features in ECG is known as QRS detection, but ECG signals are easily contaminated with noise and artifacts which make it difficult to analyze with naked eyes so feature extraction becomes complex. Therefore here we developed a QRS complex detector so that physicians can spend more time in diagnosing and treating the patient rather than deciphering these signals. In this system real time ECG signal is taken as an input and baseline wondering and background noise are removed from original ECG signal using linear and non-linear filters. The ECG QRS complex detectors design is simulated using modelsim simulator.