Mental health assessment method and equipment based on optical fiber sensor and storage medium

Through optical fiber sensors, multimodal physiological signals are collected and combined with transfer learning models, a mental health assessment system is built, which solves the subjectivity and one-sided problems of evaluation methods in the existing technology, and realizes high-precision mental health assessment and real-time monitoring.

CN120408380APending Publication Date: 2025-08-01ZHONGWUYUN INFORMATION TECH (WUXI) CO LTD
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Patent Information

Application Number
CN202510788249.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-07
Publication Date
2025-08-01

AI Technical Summary

Technical Problem

The existing mental health assessment methods are highly subjective, susceptible to interference, single modal assessment is one-sided, lacking efficient algorithms and quantitative systems, making it difficult to achieve a comprehensive and accurate mental health assessment.

Method used

A fiber optic sensor is used to collect a variety of physiological signals, combine multimodal feature fusion and transfer learning model to build a mental health assessment system, and collect heart rate, respiratory rate, body temperature, and muscle tone signals through fiber Bragg grating sensors, wavelet transformation, bandpass filtering and normalization processing are performed, and transfer learning is used to construct a quantitative assessment of anxiety and depression, emotional stress, fatigue levels and stress sensitivity.

Benefits of technology

It realizes high-precision, real-time monitoring and evaluation of mental health status, and provides standardized and objective mental health assessment solutions, which are suitable for clinical diagnosis, enterprise employee screening, student monitoring and other scenarios, reducing treatment costs and improving management efficiency.

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Abstract

The invention relates to a psychological health assessment method and equipment based on an optical fiber sensor and a storage medium. The method comprises the following steps: acquiring an original physiological signal of a person to be detected through an optical fiber sensor, and performing data preprocessing on the original physiological signal to obtain a preprocessed signal; constructing a transfer learning model, and obtaining a public physiological signal data set to train the transfer learning model to obtain an evaluation model; performing physiological signal feature extraction on the preprocessed signals, performing series fusion on the extracted features of the physiological signals to form a multi-modal feature vector, and inputting the multi-modal feature vector into the evaluation model to obtain a classification probability output result; and generating a mental health assessment report according to the classification probability output result. A complete, efficient and accurate quantitative evaluation system for anxiety depression, emotion stress, fatigue level and pressure sensitivity can be constructed, and high-precision and real-time monitoring and evaluation of the mental health state are achieved.
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