Web-based disturbance of consciousness electroencephalogram data analysis system

A data analysis and EEG data technology, applied in medical informatics, medical equipment, medical automation diagnosis, etc., can solve the problems of lengthy cooperation process, decreased effect, waste of time and cost, etc., to achieve a clear system structure, convenient maintenance, and easy maintenance. extended effect

Pending Publication Date: 2021-06-08
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

There are two serious flaws in this cooperation process. One is that the cooperation process is too lengthy, which wastes a lot of unnecessa

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  • Web-based disturbance of consciousness electroencephalogram data analysis system
  • Web-based disturbance of consciousness electroencephalogram data analysis system
  • Web-based disturbance of consciousness electroencephalogram data analysis system

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Embodiment Construction

[0030] The structure of the Web-based EEG data analysis system for disturbance of consciousness of the present invention will be described below in conjunction with the accompanying drawings and embodiments, but this is not intended to limit the protection scope of the present application.

[0031] The design concept of the Web-based EEG data analysis system for disturbance of consciousness of the present invention is: figure 1 As shown, first design the EEG signal acquisition experiment 1, obtain the experimental sample data, and then use the data analysis platform 2 written in javascript to call the data analysis algorithm written in python language for processing, and then return the obtained results to the front-end webpage through Ajax technology to render.

[0032] Described EEG signal acquisition experiment 1, the experimental data acquisition process is as follows figure 2Shown: including the electrode cap, EEG amplifier and EEG recorder, select the resting state exp...

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Abstract

The invention provides a Web-based disturbance of consciousness electroencephalogram data analysis system. A platform mainly comprises two parts, namely an electroencephalogram acquisition experiment platform and a data analysis platform. Firstly, a resting state experiment normal form is selected, electroencephalogram data is collected by using an electroencephalogram cap, and then the data is imported into a rear-end database of the platform for data analysis. The front end performs algorithm selection of electroencephalogram data analysis and presentation of a result interface, and the rear end receives a request of the front end, calls electroencephalogram data in an algorithm database of data analysis, processes the data and returns a result to the front end. According to the disturbance of consciousness (DOC) electroencephalogram data analysis system provided by the invention, a consciousness level evaluation and scientific research platform integrating requirements of medical staff and requirements of scientific researchers can be realized, and rapid conversion of a computer-aided analysis technology based on neural image data on DOC clinical evaluation can be promoted.

Description

technical field [0001] The invention relates to electrophysiological imaging technology, in particular to a Web-based EEG data analysis system for disturbance of consciousness. Background technique [0002] Disorder of Consciousness (DOC) is a disease of brain dysfunction. There are many reasons for the disturbance of consciousness, but the main clinical manifestations are awakening but no clear consciousness. In disturbance of consciousness, by analyzing behavioral sleep-wake cycle and aimless reflexive behavior, patients can be divided into Unresponsive Wakefulness Syndrome (UWS) or Vegetative State (VS) and minimally conscious state (Minimally Conscious State, MCS). [0003] At present, the clinical assessment of the level of consciousness of patients with impaired consciousness mainly relies on the combination of the Coma Recovery Scale-revised (CRS-R) and the doctor's diagnostic experience. The scale includes six subscales of arousal, auditory, visual, motor, speech a...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H40/63
CPCG16H50/20G16H40/63
Inventor 魏熙乐晏壮卢梅丽林东蔡立辉伊国胜张镇王江
Owner TIANJIN UNIV
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