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

Intraoperative Nociceptive Stimulus Response Monitoring System and Method Based on EEG Coupling Relationship

A coupling relationship and stimulus-response technology, applied in applications, diagnostic recording/measurement, medical science, etc., can solve the problem of unclear relationship between frequency spectrum and noxious stimulus reactivity, weak anti-interference ability, and weak interpretability of nonlinear features and other issues to achieve the effect of reducing interpretability, reducing sensitivity, and improving interpretability

Active Publication Date: 2022-02-18
浙江象立医疗科技有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the relationship between frequency spectrum and noxious stimulus reactivity is not clear, the interpretability of nonlinear characteristics is not strong, and the evoked EEG needs to be superimposed multiple times and the anti-interference ability is weak, which restricts the monitoring method based on EEG.
[0003] Research on anesthesia consciousness has proved that the change of EEG coupling mode is one of the main effects of anesthetic drugs on the state of brain consciousness, but for the monitoring of noxious stimulus reactivity, there is currently a lack of monitoring of noxious stimulus reactivity based on EEG coupling relationship Methods

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
  • Intraoperative Nociceptive Stimulus Response Monitoring System and Method Based on EEG Coupling Relationship
  • Intraoperative Nociceptive Stimulus Response Monitoring System and Method Based on EEG Coupling Relationship
  • Intraoperative Nociceptive Stimulus Response Monitoring System and Method Based on EEG Coupling Relationship

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The above content of the present invention will be further described in detail through specific examples below. However, it should not be construed that the scope of the above-mentioned subject matter of the present invention is limited only to the following examples. Without departing from the above-mentioned technical idea of ​​the present invention, various replacements or changes made according to ordinary technical knowledge and customary means in this field shall be included in the scope of the present invention.

[0065] Intraoperative nociceptive stimulus reactivity monitoring method based on EEG coupling relationship, such as figure 1 Include the following steps:

[0066] (1) Experimental design and data collection

[0067] The source of the noxious stimulus in this embodiment is the skin-cutting stimulus simulated by the tonic current.

[0068] After approval by the Ethics Committee of the First Affiliated Hospital of Zhejiang University and the written inf...

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 a system and a method for monitoring the reactivity of an intraoperative injury stimulus based on an EEG coupling relationship. Obtain intraoperative multi-channel EEG data, and use the patient's response after the occurrence of the noxious stimulus as a label; extract intra-channel and inter-channel MI values ​​from the preprocessed multi-channel EEG data; label the intra-channel and inter-channel MI values The feature construction data set is divided into training set and test set; the training set is used to train the random forest classifier, and the test set is used to verify and optimize the trained random forest classifier. Noxious stimulus monitoring methods based on autonomic nerves are easily affected by drugs and external factors, while noxious stimulus monitoring methods based on EEG nonlinear characteristics, such as entropy index, introduce frontal myoelectric spectrum entropy, which reduces the interpretability of indicators and is susceptible to Muscle relaxant drug interference. The coupling phase-amplitude mode adopted in the present invention is an inherent state under anesthesia, and the sensitivity of the index to electromyographic signals is reduced, which has high specificity.

Description

technical field [0001] The invention relates to the field of intraoperative sedation and analgesia monitoring, in particular to a system and method for monitoring the responsiveness to noxious stimuli during an operation by using an electroencephalogram coupling relationship. Background technique [0002] Intraoperative anesthesia monitoring mainly includes two parts: sedation monitoring and analgesia monitoring. There are relatively effective clinical methods for sedation monitoring, but the means for analgesia monitoring are far from enough. The key to analgesic monitoring is the monitoring of reactivity to noxious stimuli during surgery. At present, there are two main methods for monitoring the reactivity to noxious stimuli: one is based on the activity of autonomic nerves, which monitors the physiological characteristics affected by the autonomic nerves, and this method is easily interfered by factors such as drugs, diseases, and the environment; the other is Based on E...

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 Patents(China)
IPC IPC(8): A61B5/369A61B5/374
CPCA61B5/7203A61B5/7225A61B5/7264A61B5/4821A61B5/726A61B5/725
Inventor 刘军黄帆魏启顺
Owner 浙江象立医疗科技有限公司
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