Research on the Design of Student Mental Health Platform Based on Internet of Things Technology

In order to improve the healing effect of students' mental health, this paper combines the Internet of Things technology to construct a music platform for college students' mental health healing. Moreover, this paper uses the Internet of Things method to measure the students' mental health parameters in real time, measures the psychological and ECG parameters of college students by the Internet of Things method, and identifies the psychological parameters through the map analysis. At the same time, this paper uses the characteristics of ECG itself and the excellent characteristics of all phases to propose several new algorithms to solve the identification of mental health parameters. In addition, this paper uses the excellent characteristics of the all-phase notch filter to design an all-phase notch filter that accurately filters out a certain frequency point, and builds a student mental health healing music platform based on the Internet of Things technology. Finally, this paper verifies the mental health parameter collection effect and mental health healing effect of the Internet of Things system through simulation experiments. The final experimental study verifies that the method proposed in this paper has a good effect.