This project involved a comprehensive exploration of cardiovascular dynamics and signal processing through a series of Simulink and MATLAB simulations. Utilizing Simulink, we designed and tested various input blocks including Chirp Input, Band-Limited White Noise, and Sine Wave, each contributing to the understanding of heart rate (hr) and arterial blood pressure (abp) responses under different conditions. By implementing models that simulate parasympathetic and sympathetic nervous modulations using Atropine and Propranolol, respectively, we were able to analyze their effects on cardiovascular signals and phase shifts.
The project also entailed advanced spectral analysis using MATLAB to study heart rate variability across different breathing rates and assess ECG data integrity, employing techniques like band-stop and low-pass filtering to enhance signal clarity. The detailed evaluation of these signals provided valuable insights into the physiological responses to various interventions and the accuracy of ECG measurements, ultimately advancing the understanding of heart rate variability and its clinical implications.
If you would like to learn more about this project, a comprehensive report is available below.