A neuron pulse acquisition system is disclosed for capturing and processing neuron flow signals from the human body in a non-invasive manner. The system includes a pad with a skin sensor configured to detect neuron pulse potentials, a variable gain amplifier (VGA) to amplify detected signals, and an analog filter (A-FILTER) to remove noise. An analog-to-digital converter (ADC) digitizes the filtered signals, which are processed by a digital signal processing (DSP) and Bluetooth unit executing Fourier Transform and Cross-Correlation algorithms to analyze neuron flow characteristics in time and frequency domains. A D/A calibration module maintains analog accuracy, and a system software controller performs spectral analysis, cross-correlation, and machine learning-based predictive modeling. The system enables real-time monitoring, classification, and diagnostic interpretation of neuron flow behavior, thereby facilitating predictive analysis of neural conditions with high precision and reliability.