Alzheimer's disease screening method and system based on sleep staging

Abstract

The invention discloses an Alzheimer's disease screening method and system based on sleep staging. The method comprises the following steps: collecting EEG signals in the sleep process of a user by BCI equipment, and transmitting the EEG signals to a sleep staging algorithm system; performing feature extraction and analysis on the EEG signal of the user by the sleep staging algorithm system, judging a sleep state and performing staging; and performing feature extraction and analysis on the sleep staging result by an early screening system, and judging whether the user is in an early Alzheimer's disease morbidity high-risk stage or not. According to the method, early symptoms of the Alzheimer's disease can be distinguished, early warning can be performed on high-probability morbidity of the Alzheimer's disease in advance, early intervention can be effectively mediated, and the method is convenient, rapid and easy for large-scale screening.

Description

technical field [0001] The invention relates to the technical field of EEG signal recognition, in particular to a method and system for screening Alzheimer's disease based on sleep staging. Background technique [0002] Alzheimer's disease (AD) is a neurodegenerative disease with insidious onset and progressive development. Clinically, it is characterized by comprehensive dementia such as memory impairment, aphasia, apraxia, agnosia, impairment of visuospatial skills, executive dysfunction, and personality and behavior changes. The etiology is still unknown. Those with onset before the age of 65 are called Alzheimer's disease; those with onset after the age of 65 are called senile dementia. The clinical etiology of AD mainly includes other factors such as family history, physical disease induction, head trauma and immune function; the clinical manifestations are divided into three stages, which are mild dementia, memory loss, moderate dementia, severe memory loss, severe D...

AI Technical Summary

Problems solved by technology

The problem with the current examination method is that the neuropsychological scale test is a subjective questionnaire test, and its accuracy and reliability are low; the cost of genetic examination is high, and it is not easy to implement. It does not necessarily form the early diagnostic factors of AD, so it may lead to unnecessary early intervention; the main common disadvantage of these examination methods is that only It can be applied in the onset stage of AD, that is, when the clinical symptoms have been manifested, to determine the extent of the disease, but it is impossible to do early screening and mediate early treatment

Late examinations cannot reflect the screening significance of early intervention, making patients miss the optimal early intervention period

[0004] To sum up, no matter which one of the above-mentioned existing methods is used, it is difficult to achieve reliable, easy-to-implement, and early-stage screening at the same time. Manual screening is required, which requires a lot of labor costs and takes a long time. ,low efficiency

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