Bayesian Network Model-Based Assessment of the Role of Music Intervention in Volleyball Players' Physical Recovery

Abstract

 This paper proposes to explore the mechanism of music therapy's influence on volleyball players' physical recovery under the acquisition of music therapy's extensive mechanism of action. Relevant factors affecting volleyball players' physical recovery are pointed out, including physics, biology, training and psychology. Analyze the composition of Bayesian network and the analysis process, and establish the Bayesian network model of volleyball players' physical recovery. Analyze the role of each influencing factor on the physical recovery of volleyball players, and get the size of the mechanism of music therapy in the physical recovery of volleyball players. Functional music for sports was selected to analyze the effect of music therapy on special intervention for volleyball players. The two-factor repeated measures variance was used to analyze the physical fatigue test data of the experimental group and the control group, and the results showed that the music regulation method has a significant effect on relieving volleyball players' fatigue. Music therapy can act on volleyball players by regulating psychological states, as well as positively affecting them through the body's biological response to vibrating music.