This project aims to apply artificial intelligence techniques to detect and analyze changes in heart rate signal patterns—specifically ECG and PPG signals—in response to varying excitation frequencies from the bioresonance device BICOM. The study will involve the collection of a statistically significant dataset, followed by comprehensive signal processing and pattern recognition using advanced AI algorithms. The objective is to uncover potential correlations between stimulation frequencies and physiological responses, contributing to the scientific understanding of bioresonance effects.

DIGI-SI