Pulse Signal Processing with MATLAB GUI Implementation

In the process of pulse signal processing, we implement a comprehensive system using MATLAB GUI programming that incorporates several key functionalities. The system employs digital filtering algorithms (such as Butterworth or FIR filters) for signal conditioning, advanced denoising techniques including wavelet thresholding for noise reduction, real-time signal playback capabilities using MATLAB's timer objects and callback functions, and wavelet analysis methods for detailed signal decomposition and feature extraction. These integrated functions enable accurate pulse rate calculation through peak detection algorithms and comprehensive analysis of pulse waveforms. The implementation utilizes MATLAB's Signal Processing Toolbox for filter design and Wavelet Toolbox for multi-resolution analysis. Through continuous optimization of these algorithms and GUI components, we enhance the accuracy and efficiency of pulse signal processing, making significant contributions to medical research and bioengineering applications by providing reliable data analysis and diagnostic support.