Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Anesthesia depth monitoring system based on electroencephalogram micro-state analysis and method thereof

A technology of anesthesia depth and monitoring system, which is applied in the field of biomedical signal processing, can solve the problems that patients are difficult to use, depend on, and AEP monitors are easily affected by the surrounding environment.

Inactive Publication Date: 2020-02-21
XI AN JIAOTONG UNIV
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, AEP monitors are easily affected by the surrounding environment. At the same time, AEP relies on human hearing, which makes it difficult for patients with hearing problems to use this method.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Anesthesia depth monitoring system based on electroencephalogram micro-state analysis and method thereof
  • Anesthesia depth monitoring system based on electroencephalogram micro-state analysis and method thereof
  • Anesthesia depth monitoring system based on electroencephalogram micro-state analysis and method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention is described in detail below in conjunction with accompanying drawing. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0047] refer to figure 1 , an anesthesia depth monitoring system based on EEG microstates, including an EEG signal acquisition module (A), a microstate time series building module (B), a microstate parameter calculation module (C) and a classification recognition module (D). modules,

[0048] The EEG signal collection module (A): used to collect EEG signals under different anesthesia states for samples receiving general anesthesia;

[0049] The microstate time series construction module (B): first analyze the EEG signals in different anesthesia states through the EEG microstate algorithm on the signals acquired by the EEG signal acquisition module (A), and construct the corresponding microstate time series sequence;

[0050] Described micro...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an anesthesia depth monitoring system based on electroencephalogram micro-state analysis and a method thereof. The system comprises an electroencephalogram signal acquisition module A, a micro-state time sequence construction module B, a micro-state parameter calculation module C and a classification and identification module D. The method comprises the following steps: firstly, acquiring a tested whole electroencephalogram signal by using high-density electroencephalogram, and then constructing a corresponding micro-state time sequence according to a micro-state algorithm; calculating micro state parameters such as time proportion and energy of the time sequence; simplifying the micro-state parameters through principal component analysis to obtain characteristic values, and performing recognition and classification by using a support vector machine. On the basis of taking the brain as an organic whole, the time information and the space information of the electroencephalogram are combined to reflect the characteristics of the electroencephalogram topology in the time domain, and meanwhile, the anesthesia depth of a patient can be effectively and accuratelymonitored.

Description

technical field [0001] The invention relates to the technical field of biomedical signal processing, in particular to an anesthesia depth monitoring system and method based on EEG microstate analysis. Background technique [0002] Anesthesia, especially general anesthesia, is a relatively common means of clinical treatment. Generally speaking, during the operation, the patient's central nervous system is inhibited by inhalation of anesthetic drugs or intravenous injection, so that the patient shows loss of consciousness, decreased motor function, and disappearance of pain stimulus response, so that the patient loses the sense of pain during the operation. memory, increase the safety of the operation, and facilitate the operation. Anesthesia depth monitoring is an important method to ensure the quality of anesthesia in clinical operations. If the depth of anesthesia is too heavy, it will not only increase the cost of medication, but also prolong the patient's recovery time,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/0476A61B5/145
CPCA61B5/14542A61B5/4821A61B5/7235A61B5/7253A61B5/7267A61B5/369
Inventor 王刚刘治安施文闫相国李雅敏
Owner XI AN JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com