Used MATLAB to clean an ECG signal and extract useful information from it.

1. Removed unwanted low frequncy noise caused by the movement of the patient during the measurement by applying a high pass filter.
2. ECG is contaminated with 50 Hz noise from the power outlet, which overlaps the ECG. This interference was removed by applying a notch filter at 50 Hz.
3. To furthur improve the signal to noise ratio, various low pass filters were applied with different cutoff frequencies to determine the best.
4. Heart rate was calculated using ACF (autocorrelation function) of the function.
5. Implemented PAn-Tompkins algorithm to detect QRS complex of the signal.