ECG Signal Processing and Detection using FIR Filtering

The main focus of this paper is to design an advanced Electrocardiogram (ECG) signal monitoring and analysis design. Heart is an important part of the human body. Heart diseases are the important factor which cause of death in the world. An electrocardiogram is a device which graphically records the electrical activity of the heart. It is used to identify normal and abnormal heartbeats. Noise filtering is the next step of the QRS detection. In filtering of signal, we have used one band stop filter and a low pass filter. These filters are used to remove 60 Hz power line and 0.5 Hz baseline wander noises. QRS detection is the final step of the ECG processing. A new method is used to detect the QRS wave which includes the heart rate calculation and R-R time interval. Several analyses performed for the detection of ECG signal verify that Co-simulation is a suitable method to check the HDL module for real time systems.