Simulation and Biofeedback Control of PQRST ECG Waveforms

This project simulates and analyzes a synthetic electrocardiogram (ECG) signal, focusing on the PQRST waveform, which represents the heart's

1.Signal Generation: Create a synthetic PQRST waveform using sine and Gaussian functions for the P wave, QRS complex, and T wave, then normalize the signal.

2.Multiple Cycles Generation: Repeat the PQRST cycle multiple times to simulate a continuous ECG signal for extended analysis.

3.R Peak Detection: Detect R peaks within the QRS complex using a peak detection algorithm and calculate the RR intervals to measure heart rate variability.

4.Heart Rate Calculation: Compute the average RR interval and derive the heart rate by inverting the mean RR interval and scaling it.

5.Biofeedback Control: Adjust the ECG signal's amplitude or timing to match a target heart rate based on the deviation between the measured and target RR intervals.

6.Visualization and Analysis: Plot and compare the original and adjusted PQRST waveforms, and analyze the impact of biofeedback on heart rate regulation.