基于传感器网络的学生心理健康信息自动集成系统

Automatic Integration System of Student Mental Health Information Based on Sensor Network

为了迅速、准确获取学生的心理健康信息数据,设计了基于传感器网络的学生心理健康信息自动集成系统。采集学生心率及呼吸速率信号,通过传感器网络获取学生心理健康信息数据;利用智能处理单元整合学生心理健康信息数据,利用心理测评模块检测输入的心理测试信息,判断学生心理健康是否异常;将传感器检测的心率与呼吸速率数据的功率谱密度作为挖掘指标,采用线性函数得知学生心理反应状态,并分别将检测结果传输到数据库和客户端,完成心理健康信息的存储与展现。实验表明:该系统集成信息准确率高,数据丢包率低,能够直观展现的学生心理健康信息。

In order to quickly and accurately obtain students'mental health information data,an automatic integration system for students'mental health information based on sensor networks was designed.Collect students'heart rate and respiratory rate signals,and obtain students'mental health information data through sensor networks.The intelligent processing unit is used to integrate student mental health information data,and the psychological evaluation module is used to detect the input psychological test information to determine whether the student's mental health is abnormal.The power spectral density of the heart rate and respiratory rate data detected by the sensor is used as a mining index,and a linear function is used to obtain the psychological reaction status of students.The detection results are respectively transmitted to the database and client to complete the storage and presentation of mental health information.The experiment shows that the system integrates high information accuracy,low data packet loss rate,and can intuitively display students'mental health information.