Abnormal electroencephalogram behavior monitoring system and method for all-night sleep monitoring

Abstract

The invention discloses an abnormal electroencephalogram behavior monitoring system and method for all-night sleep monitoring. The abnormal electroencephalogram behavior monitoring system and method for all-night sleep monitoring solve the problem that in the prior art, evaluation needs to be performed after evaluation information collection is completed, and have the beneficial effects of being able to timely send the collected information to medical staff and timely rescuing a patient. According to the scheme, the abnormal electroencephalogram behavior monitoring method for all-night sleep monitoring includes the steps that (1) an electroencephalogram signal is collected by an electroencephalogram signal acquisition component disposed in a human brain; (2) the obtained electroencephalogram signal is processed by a processer to obtain a power spectrum of the whole segment signal, feature extraction is performed by analyzing the power spectrum, and electroencephalogram data is modeled;(3) the measured electroencephalogram signal is tested and classified by a modeling model, and abnormal state judgment is performed according to a classification result; and (4) after the processor determines an abnormal electroencephalogram signal, the abnormal electroencephalogram signal is marked, and all data from the beginning of monitoring to the occurrence of the abnormal electroencephalogram signal is sent to a doctor diagnosis terminal.

Description

technical field [0001] The invention relates to the field of EEG signal detection, in particular to a system and method for monitoring abnormal EEG behaviors of all-night sleep monitoring. Background technique [0002] At present, population aging has become a very serious social problem in our country, seriously affecting the development of our society, economy and other aspects. The growth rate of the elderly living alone and the empty-nest elderly is accelerating, and the proportion is increasing. With the continuous acceleration of urbanization in my country, more and more families tend to be smaller. Coupled with the accelerated pace of urban life, young children spend less time with their parents. The traditional family pension function in our country is gradually weakening, and the health problems of the elderly are more and more worthy of people's attention. [0003] The number of elderly people living alone in our country is increasing day by day. Living alone in an...

AI Technical Summary

Problems solved by technology

Nervous diseases frequently occur in the elderly, accompanied by irreversible complications. Once the onset cannot seek help from the outside world in time, it is easy to be life-threatening. At present, the diagnosis of neurological diseases in the elderly requires the patient to come to the hospital. Electrical signals are collected and evaluated within a certain period of time to determine the brain part and manifestation of the disease, but the evaluation can only be carried out after the end of the EEG signal. The abnormal signal of the EEG signal is poor, and the evaluation process is slow. If it is at night, When a dangerous moment occurs during the evaluation information collection process, the patient cannot receive timely treatment, and in order to realize the evaluation and avoid accidents in the patient in the existing technology, the medical staff needs to pay attention to the patient many times at night, occupying The medical staff spends a long time and the work efficiency is low

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