EEG equipment-based large-scale electroencephalogram sleep monitoring system

Abstract

The invention discloses an EEG equipment-based large-scale electroencephalogram sleep monitoring system which comprises a wearing hood, a bluetooth module, a wireless module, a mobile phone and a cloud server; the EEG equipment comprises a wearing hood, a grounding electrode, a reference electrode, an electroencephalogram electrode and a control circuit board; the control circuit board is arrangedon the top of the wearing hood through a mounting box; the bluetooth module and the wireless module are arranged on the control circuit board; the electroencephalogram electrode is arranged on the top end in the wearing hood; the reference electrode is arranged on one side in the wearing hood; the grounding electrode is arranged on the other side in the wearing hood; the grounding electrode, thereference electrode and the electroencephalogram electrode are all electrically connected with the control circuit board; the bluetooth module is in signaling connection with the mobile phone; the wireless module and the mobile phone are in signaling connection with the cloud server. Processing for mass EEG information is realized; a deep learning neural network-based artificial intelligence algorithm model is established; the signal feature can be recognized at high accuracy rate; the model is also capable of finishing self-correction and finally reaching a degree of accuracy approximate to that in a medical scene.

Description

technical field [0001] The invention belongs to the technical field of sleep monitoring, and in particular relates to a large-scale EEG equipment-based sleep monitoring system. Background technique [0002] Sleep is an essential physiological activity of the human body. It is an important and complex physiological phenomenon. In the existing clinical sleep analysis, experts mainly conduct manual visual analysis according to the R&K sleep EEG (electroencephalogram) staging rules. This method Multiple electrodes or sensors need to be placed on the head, and the signals collected by the electrodes or sensors are monitored throughout the night. It is more scientific and accurate to use EEG signals to judge the user's sleep state. Many research results have been used to optimize this process. The US authorized patent US6272378B1 places electrodes on the forehead, and then judges the sleep state of the human body according to the signal frequency, amplitude W, and signal condition...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a large-scale EEG sleep monitoring system based on EEG equipment, so as to solve the problem that the existing methods and equipment proposed in the above background technology are often designed for medical treatment and scientific research, and do not take into account the scene of independent use by users , In addition, existing methods often focus on the data collection and analysis of individual individuals, ignoring the large-scale collection and analysis of sleep EEG data from a large group of people. Therefore, large-scale sleep EEG data cannot be completed using existing methods Data collection, without the support of large-scale data, it is difficult to dig out an efficient and accurate sleep EEG analysis model

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