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Large-scale depression automatic early-screening early-warning and intervention intelligent system based on EEG equipment

An intelligent system and large-scale technology, applied in the medical field, can solve the problems of ignoring large-scale collection and analysis of EEG data, lack of large-scale data support, and inability to complete large-scale collection of EEG data for depressive disorders, so as to improve the cure effect, the effect of enhancing the effect of stimulation therapy

Pending Publication Date: 2020-08-07
北京脑陆科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Existing methods and equipment are often designed for medical and scientific research, without considering the scenarios of users' independent use
In addition, existing methods often focus on the data collection and analysis of individual individuals, ignoring the large-scale collection and analysis of EEG data in the depression state of a large group of people
Therefore, it is impossible to complete the collection of large-scale depressive disorder EEG data using existing methods, and without the support of large-scale data, it is also difficult to dig out an efficient and accurate EEG depression analysis and detection model

Method used

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  • Large-scale depression automatic early-screening early-warning and intervention intelligent system based on EEG equipment
  • Large-scale depression automatic early-screening early-warning and intervention intelligent system based on EEG equipment

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Embodiment 1

[0026] Such as Figure 1-2 As shown, a large-scale depression automatic early screening early warning and intervention intelligent system based on EEG equipment includes a single-chip controller 6, a transmitter 3, a stimulator 2, a depression detector 1, a filter 5 and an amplifier 4, and the depression The detector 1, the transmitter 3 and the amplifier 4 are connected to the stimulator 2 through signal lines, the single-chip controller 6, the transmitter 3 and the amplifier 4 are electrically connected to the filter 5, and the single-chip controller 6 is respectively connected to each other through a wireless network. Inquiry module 7, comparison module 8 and historical curve module 9 are connected, and the single-chip controller 6 is electrically connected with signal recorder 10 and simulator 11, and signal recorder 10 includes video signal acquisition and EEG signal acquisition, so The stimulator 2 includes an EEG data acquisition device, the EEG data acquisition device ...

Embodiment 2

[0034] Such as Figure 1-2 As shown, a large-scale depression automatic early screening early warning and intervention intelligent system based on EEG equipment includes a single-chip controller 6, a transmitter 3, a stimulator 2, a depression detector 1, a filter 5 and an amplifier 4, and the depression The detector 1, the transmitter 3 and the amplifier 4 are connected to the stimulator 2 through signal lines, the single-chip controller 6, the transmitter 3 and the amplifier 4 are electrically connected to the filter 5, and the single-chip controller 6 is respectively connected to each other through a wireless network. Inquiry module 7, comparison module 8 and historical curve module 9 are connected, and the single-chip controller 6 is electrically connected with signal recorder 10 and simulator 11, and signal recorder 10 includes video signal acquisition and EEG signal acquisition, so The stimulator 2 includes an EEG data acquisition device, the EEG data acquisition device ...

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Abstract

The invention discloses a large-scale depression automatic early screening early warning and intervention intelligent system based on EEG equipment. The system comprises a single-chip microcomputer controller, a transmitter, a stimulator, a depression detector, a filter and an amplifier, wherein the depression detector, the transmitter and the amplifier are connected with the stimulator through signal lines; the single-chip microcomputer controller, the transmitter and the amplifier are electrically connected with the filter. The single-chip microcomputer controller is connected with a query module, a comparison module and a historical curve module through a wireless network, and is electrically connected with the signal recorder and the simulator; the signal recorder comprises a video signal acquisition device and an electroencephalogram signal acquisition device, the stimulator comprises an EEG data acquisition device, and the EEG data acquisition device is connected with a wirelesscommunication module through a wireless network. The novel depression automatic early-screening early-warning and intervention intelligent system is diversified in function, easy to operate, convenient to produce, capable of meeting various requirements in use and suitable for wide popularization.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to an EEG equipment-based automatic early screening, early warning and intervention intelligent system for large-scale depression. Background technique [0002] Depression, also known as depressive disorder, is the main type of mood disorder with significant and persistent low mood as the main clinical feature. It can be seen clinically that the mood is not commensurate with the situation. The depression of mood can range from gloomy to distraught, low self-esteem and depression, even pessimistic world-weariness, and there may be suicide attempts or behaviors; even stupor; some cases have obvious anxiety and motor agitation; In severe cases, psychotic symptoms such as hallucinations and delusions may appear. Each attack lasts for at least 2 weeks, or even several years in the elderly. Most cases have a tendency to recur. Most of each attack can be relieved, and some may have resid...

Claims

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Application Information

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IPC IPC(8): A61B5/16A61B5/0478A61B5/0484A61B5/00A61N1/04A61N1/20
CPCA61B5/165A61B5/4848A61B5/4836A61B5/72A61B5/7275A61B5/746A61N1/0404A61N1/20A61B5/377A61B5/291
Inventor 卢树强郭建明王晓岸
Owner 北京脑陆科技有限公司