Method and device for screening cognitive impairment based on olfactory evoked electroencephalogram

Through the electroencephalogram signal processing method based on olfactory induced, neural network models are used to screen cognitive impairment, which solves the shortcomings of early screening in the existing technology and achieves efficient, accurate and low-cost screening of cognitive impairment.

CN119700034APending Publication Date: 2025-03-28GUANGXI INST OF IND EDUCATION & RES +1
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Patent Information

Application Number
CN202411916822.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-24
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The existing cognitive impairment screening methods have problems such as objectivity, insufficient sensitivity, high cost and difficulty in wide application, especially the lack of effective methods in early screening.

Method used

Using an olfactory EEG method, by obtaining EEG signals, electrocardiogram signals and speech signals, feature extraction and model training are carried out, and a neural network model based on Bi-GRU and dual attention mechanism is established to achieve early and accurate screening of cognitive impairments.

Benefits of technology

It has achieved early, objective and accurate screening of cognitive impairments, which is simple and low-cost, and is suitable for application in primary medical institutions and large-scale screening, improving the accuracy and reliability of screening.

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Abstract

The invention discloses a cognitive impairment screening method and device based on olfactory evoked electroencephalogram. The method comprises the following steps: acquiring olfactory evoked cognitive signal data information; the cognitive signal data information comprises electroencephalogram signal information, electrocardiosignal information and voice signal information; performing feature extraction on the cognitive signal data information to obtain cognitive feature parameter information; training a preset cognitive impairment screening model by using the cognitive feature parameter information to obtain an optimized cognitive impairment screening model; processing the to-be-processed cognitive feature parameter information by using the optimized cognitive impairment screening model to obtain a cognitive impairment screening result; the to-be-processed cognitive feature parameter information comprises to-be-processed electroencephalogram feature parameter information, to-be-processed electrocardio feature parameter information and to-be-processed voice feature parameter information. On the basis of olfactory induction, the method can directly reflect the perception and cognition process of a human body on olfactory stimulation, has high objectivity and sensitivity, and can realize early screening of cognitive impairment.
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