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Mental state prediction method, system and device based on physiological health indicators

A technology of physical health and mental state, applied in the directions of diagnostic signal processing, diagnostic recording/measurement, medical science, etc., it can solve problems such as difficulty in comprehensive evaluation, and achieve the effect of improving concentration, effective data support, and relieving individual stress.

Pending Publication Date: 2021-12-28
北京瑞格心灵科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the improvement of living standards, more and more people begin to pay attention to the physical health and mental health of individuals. At the same time, they will face various pressures in daily work and life. Therefore, it is very important to effectively evaluate and intervene in physiological state and psychological pressure. However, the existing health index evaluation system is difficult to achieve a comprehensive and accurate comprehensive evaluation of the physiological state, psychological state and emotional state of the individual being tested.

Method used

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  • Mental state prediction method, system and device based on physiological health indicators
  • Mental state prediction method, system and device based on physiological health indicators
  • Mental state prediction method, system and device based on physiological health indicators

Examples

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Embodiment 1

[0034] A method for predicting mental state based on physiological health indicators, comprising the following steps:

[0035] S1: collect the physiological health indicators of the user to be tested, wherein the physiological health indicators include pulse data and breathing data, and perform step S2;

[0036] S2: Utilize AI algorithm to analyze pulse data and respiration data respectively, obtain pulse feature and respiration feature, execute step S3;

[0037] S3: input the pulse feature into the first LSTM neural network model that has been trained to obtain the H relaxation index, and input the breath feature into the second LSTM neural network model that has been trained to obtain the B relaxation index, based on the H The relaxation index and B relaxation index obtain the comprehensive relaxation index of the user to be tested, and perform step S4;

[0038] Of course, based on the H relaxation index and the B relaxation index, not only the composite index, but also the...

Embodiment 2

[0086] Such as Figure 4 As shown, a mental state prediction system based on physiological health indicators, including:

[0087] The collection module is used to obtain the physiological health index of the user to be tested;

[0088] Wherein, the physiological health index is obtained through a wearable device, and the physiological health index includes but not limited to pulse data and respiratory data, which can provide a large amount of basic data for evaluating the user's physiological health state. The system of the present invention also includes The database can store the user's physiological health data and static state data, and form the big data of emotional management through the database to provide accurate assessment and intervention for personnel's stress management and physical and mental relaxation training, and provide effective data support for the healthy development of personnel.

[0089] The first processing module is used to analyze the pulse data and...

Embodiment 3

[0097] Such as Figure 5 As shown, an electronic device according to an embodiment of the present invention includes a processor and a memory, and when the processor executes computer instructions / codes stored in the memory, the method in any one of the above embodiments is implemented.

[0098] The electronic equipment of this embodiment includes but is not limited to wearable equipment, so the electronic equipment of the present invention also includes other electronic equipment that can collect physiological health indicators, which can be used to treat the user's fatigue state, achieve the purpose of improving the user's mental state, and relax individuals. Mental status and clinical medicine have practical implications.

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Abstract

The invention relates to the technical field of mental state prediction, in particular to a mental state prediction method, system and device based on physiological health indicators, and the method comprises the steps: collecting the physiological health indicators of a to-be-tested user; and analyzing the physical health indicators through an AI algorithm to obtain characteristic parameters, obtaining a comprehensive relaxation indicator of the to-be-tested user based on the characteristic parameters, and evaluating the mental state of the to-be-tested user based on the comprehensive relaxation indicator.The higher the comprehensive relaxation indicator is, the better the mental state of the to-be-tested user is. According to the method, the physiological data collection requirement of the user is met, meanwhile, feature extraction and analysis are conducted on physiological signals, then the AI algorithm is used for classifying and recognizing the data features, a more optimized algorithm model is constructed, the mental state of the user can be rapidly and accurately evaluated, while the mental state of the user is evaluated, relaxation training can be carried out, emotion dredging is carried out through targeted relaxation training, individual pressure is relieved, and concentration is improved.

Description

technical field [0001] The present invention relates to the technical field of mental state prediction, in particular to a mental state prediction method, system and equipment based on physiological health indicators. Background technique [0002] With the improvement of living standards, more and more people begin to pay attention to the physical health and mental health of individuals. At the same time, they will face various pressures in daily work and life. Therefore, it is very important to effectively evaluate and intervene in physiological state and psychological pressure. However, the existing health index evaluation system is difficult to achieve a comprehensive and accurate comprehensive evaluation of the physiological state, psychological state and emotional state of the individual being measured. [0003] Therefore, it is an urgent problem for those skilled in the art to design a method for collecting relevant physiological signals and evaluating the mental state...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0205
CPCA61B5/0205A61B5/7264A61B5/7253A61B5/72
Inventor 肖建锋
Owner 北京瑞格心灵科技有限公司
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