Intelligent psychological pressure assessment and early warning system for multiple groups under epidemic disease condition

Abstract

The invention provides an intelligent psychological pressure assessment and early warning system for multiple groups under an epidemic disease condition, and belongs to the field of artificial intelligence pattern recognition. The system comprises a data acquisition module, a psychological assessment module and an alarm module, wherein the data acquisition module is configured to acquire at leastone physiological signal of a tested individual and perform preprocessing; the psychological assessment module is configured to input the preprocessed physiological signal into a preset neural networkmodel to obtain the probability that the tested individual is in different psychological states, and then determine the current psychological state level of the tested individual; and the alarm module is configured to send out alarm information when the psychological state level of the tested individual exceeds a safety level. According to the system, only the related physiological signals of thetested individual need to be collected, and a psychological level classification result can be efficiently and accurately obtained without any inquiry, so that the individual with the psychological abnormality can be intervened and treated in advance, and the physiological and psychological health of the tested personnel is guaranteed.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence pattern recognition, and in particular to an intelligent assessment and early warning system for mental stress of various groups of people under epidemic conditions. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] Sudden epidemics caused by uncontrollable factors will cause serious harm to social and economic life, and at the same time bring regional and group panic and affect social stability. As different individuals in society, due to sudden serious disasters, their living conditions will change significantly, especially when there are difficulties that are difficult to overcome with existing living conditions and experiences, the parties will be in a state of pain and anxiety, and in severe cases, they will be accompanied by disasters. Ther...

AI Technical Summary

Problems solved by technology

Different psychological diagnostic scales lack a unified standard, and at the same time, the collection process is complicated, and it is easily affected by various interference factors such as personal concealment, vague understanding of the meaning of the question, and unclear self-evaluation, which reduces the accuracy and objectivity of the assessment.

(2) The traditional model-driven method relies on a small amount of data to make certain inferences and assumptions, and establishes various mathematical models such as normal distribution, Rayleigh distribution, Poisson distribution, etc. It is more suitable to choose a model that fits the data The model is used as a data analysis framework. The basis of this method is to adapt the data to the model. It is difficult to start from the actual problem, and often deviate from the real distribution of the data to conceive some mathematical models that feel good about yourself. When faced with complex and massive data , existing models will not be able to handle or achieve the desired results

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