College student psychological crisis dynamic early warning system based on multi-modal data fusion
The dynamic early warning system for psychological crises among college students, which integrates multimodal data fusion, utilizes the synchronous processing and topological analysis of electrocardiogram, pulse wave, and skin conductance signals to solve the problems of inaccurate self-reporting and insufficient privacy protection in existing technologies, thereby achieving personalized, accurate, and timely early warning of psychological states.
CN122398306APending Publication Date: 2026-07-17HUANGSHAN UNIV
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUANGSHAN UNIV
- Filing Date
- 2026-04-17
- Publication Date
- 2026-07-17
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Figure CN122398306A_ABST
Abstract
本发明属于生理信号采集分析技术领域，本发明公开了基于多模态数据融合的大学生心理危机动态预警系统；首先对多模态生理数据进行运动伪迹剔除和时钟对齐处理，提取反映自主神经系统调节、心血管反应和情绪激活的多维特征，并将其映射至三维相空间形成状态轨迹。引入拓扑学分析方法，对轨迹点云进行三角剖分曲面重建，在生成的闭合曲面流形上评估测试路径的收缩性，计算流形单连通性指数作为心理状态稳定性的量化指标。构建个体化基线分布模型，根据当前指数的标准化偏离值和变化趋势生成多级预警信号。相比传统方法，本发明突破了主观评估的局限，解决了单一模态信息不足和通用标准误判等问题，实现了从被动响应到主动预测的转变。
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