This thesis conducts in-depth research on TCM pulse feature extraction technology based on wavelet packet decomposition, aiming to explore the medical information contained in pulse signals with modern technologies. The system constructed in the thesis has functions such as data selection, data reading, and generating line charts and spectrograms. Its core innovation lies in introducing wavelet packet decomposition technology to conduct detailed analysis of pulse data and generate corresponding statistical charts, providing new technical means and analytical perspectives for the objective research of TCM pulses, which is expected to contribute to the development of TCM clinical diagnosis and pulse theory. This thesis will elaborate on the functional architecture of the system, the implementation principles of each module, and the application details of the wavelet packet decomposition algorithm.