Evaluation Method of Music Psychological Intervention Effect based on Deep Convolution Neural Network

Abstract

In order to improve the accuracy of the evaluation of the effect of music psychological intervention and ensure the application effect of music psychological intervention, a method of evaluation of the effect of music psychological intervention based on deep convolution neural network is proposed. Based on the research of the theoretical basis of music therapy, according to the characteristics of music psychology, the psychological intervention of music is carried out by using music, and the information of music psychological intervention is obtained by using deep convolution neural network. The ability of preparation for music psychological intervention is determined by setting the intensity of music psychological interference, the behavioral intervention coefficient and the evaluation index of utility. The emotional relief ability coefficient of patients was set up to obtain the tracking results of psychological intervention effect, and the evaluation of music psychological intervention effect was realized. The experimental results show that the evaluation results of the method based on the deep convolution neural network are in line with the actual situation, the accuracy of the evaluation is high and the application effect is good.