Multi-physiological-parameter mental load prediction method and device

A technology of mental load and physiological parameters, applied in psychological devices, diagnostic recording/measurement, medical science, etc., can solve problems such as insufficient objective data and inaccurate detection, and achieve the effect of improving prediction accuracy

Pending Publication Date: 2022-04-12
北京富通东方科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this scheme mainly focuses on the P300 feature in the feature extraction, and extracts the event-related potential of the stimulus, and only collects the EEG signal, and there is still the problem of inaccurate detection due to insufficient objective data.

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  • Multi-physiological-parameter mental load prediction method and device
  • Multi-physiological-parameter mental load prediction method and device
  • Multi-physiological-parameter mental load prediction method and device

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Experimental program
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Embodiment 1

[0035] Please refer to figure 1 , the embodiment of the present application provides a method for predicting mental load with multiple physiological parameters, including:

[0036] S101: Obtain the operator's objective and subjective data based on standard experimental tasks of different difficulties;

[0037] S102: Perform data processing on the operator's objective and subjective data to obtain training data;

[0038] S103: Input the training data into multiple ensemble learning prediction models, perform voting and classification according to the prediction results of different ensemble learning prediction models, and obtain the best ensemble learning model;

[0039] S104 Real-time prediction of the operator's mental load based on the best integrated learning model.

[0040] The multi-physiological parameter mental load prediction method adopted in the present invention can be applied to intelligent electronic devices, such as smart phones, etc., and the intelligent elect...

Embodiment 2

[0085] Please refer to figure 2 , based on the method of the first embodiment above, the present invention also provides a multi-physiological parameter mental load prediction device, including:

[0086] The data acquisition module is used to obtain the objective and subjective data of the operator based on standard experimental tasks of different difficulties;

[0087] A data processing module, used to perform data processing on the operator's objective data and subjective data to obtain training data;

[0088] A model acquisition module, configured to input the training data into a plurality of ensemble learning prediction models, perform voting and classification according to the prediction results of different ensemble learning prediction models, and obtain the best ensemble learning model;

[0089] The prediction module is used to predict the mental load of the operator in real time based on the best integrated learning model.

[0090] The real-time display module is u...

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Abstract

The invention discloses a multi-physiological parameter mental load prediction method and device, and the method comprises the steps: obtaining objective quantity data and subjective quantity data of an operator based on standard experiment tasks with different difficulties; performing data processing on the objective quantity data and the subjective quantity data of the operator to obtain training data; inputting the training data into a plurality of ensemble learning prediction models, and performing voting classification according to prediction results of different ensemble learning prediction models to obtain an optimal ensemble learning model; and performing real-time prediction on the mental load of the operator based on the optimal integrated learning model. By adopting the method and the device in the technical scheme, the mental load of the operator during working can be predicted in real time.

Description

technical field [0001] The invention relates to the technical fields of smart medical treatment and medical health, in particular to a method and device for predicting mental load of multiple physiological parameters. Background technique [0002] Mental load refers to the intellectual resources required by operators to perform various tasks such as calculation, decision-making, and recognition, and its size may be related to the activities of the brain and autonomic systems. At present, the high degree of intelligence in the industry has made the working environment of the operator gradually close to the mental work from the previous manual labor. The amount of information to be processed has increased sharply and the mental resources occupied are higher. Distraction, rapid induction of fatigue, increased human error, increased aversion and frustration will eventually lead to task failure, and it is easy to lead to mental overload and even damage the work when the work pres...

Claims

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Application Information

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IPC IPC(8): A61B5/318A61B5/369A61B5/389A61B5/00A61B5/02A61B5/16A61B5/374G06K9/62G06N20/20
Inventor 唐泳荣知钦周祎楠杨晓帅王唯佳赵伟
Owner 北京富通东方科技有限公司
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