摘要
目前的心理健康检测大多数更偏向于评估个体某一方面的心理特征,为了解决这一问题,研究选择将生理信号融入心理健康自动检测仪并构建一种新型检测方法,通过从不同生理信号中提取关键特征参数实现对个体心理健康状态的评估。实验结果显示,研究方法在基于体温信号下的心理健康检测准确率最高达到了97.21%,而支持向量机的检测准确率最高值仅仅为84.68%。研究方法在中老年被试群体中产生的相对误差在2%左右浮动,对被试抑郁和非抑郁的检测分类结果中,仅仅有1个抑郁个体被划分至非抑郁群体中。结果表明研究方法对心理健康检测具备出色的有效性和准确性,对评估治疗效果和提升个体心理健康意识具有积极作用。
The current mental health detection most more inclined to evaluate the individual one aspect of psychological characteristics,in order to solve this problem,the research choose physiological signals into mental health automatic detector and build a new detection method,through the key characteristics from different physiological signal parameters to realize the assessment of individual mental health status.The experimental results showed that the mental health detection accuracy of the research method based on the body temperature signal reached the highest accuracy of 97.21%,while the highest detection accuracy of the support vector machine was only 84.68%.The relative error of the research method in the middle-aged and elderly subjects fluctuated around 2%.Among the detection classification results of depressed and non-depressed subjects,only one depressed individual was divided into the non-depressed group.The results show that the research method has excellent effectiveness and accuracy in mental health testing,and has a positive effect on evaluating the treatment effect and improving individual mental health awareness.
作者
樊洋
FAN Yang(Xi’an Fanyi University,Xi’an 710105,China)
出处
《自动化与仪器仪表》
2025年第10期20-24,共5页
Automation & Instrumentation
基金
校级课题《疫情背景下高校网络思想政治教育的内容和路径探析》(22B23)。
关键词
心理健康
自动检测仪
生理信号
传感器
mental health
automatic detector
physiological signal
sensor
