Medical Research on Mental Health Education of College Students Based on Artificial Intelligence

To promote the improvement of the effect of college students' mental health education, this paper combines the artificial intelligence measurement method to conduct real-time measurements of college student's mental health. Moreover, this paper uses the fast algorithm of Mallat orthogonal wavelet transform to decompose and filter and then uses the relationship between wavelet transform and signal singularity to optimize the problems of missed detection and false detection in ECG signal processing using wavelet transform in the past. At the same time, this paper verifies the effect of the method proposed in this paper on the mental health education of college students. Based on expert evaluation, this paper explores whether the mental health education method for college students based on artificial intelligence calculation is effective, conducts research through the teaching evaluation method, and counts the results of experimental research. Finally, the simulation test results verify that the method and system proposed in this paper are scientific. © 2024 U-turn Press LLC.