Electroencephalograph-based anesthesia depth monitoring method

A technology of depth of anesthesia and electroencephalography, which can be used in diagnostic recording/measurement, medical science, psychological devices, etc., and can solve problems such as unreliability

Inactive Publication Date: 2015-04-29
ZHEJIANG PEARLCARE MEDICAL TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Commonly used clinical anesthesia monitoring indicators include heart rate, blood pressure, pulse, sweating, tearing, pupil dilation, etc., but a

Method used

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  • Electroencephalograph-based anesthesia depth monitoring method
  • Electroencephalograph-based anesthesia depth monitoring method
  • Electroencephalograph-based anesthesia depth monitoring method

Examples

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Embodiment Construction

[0047] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0048] figure 1 It is a working flow chart of the present invention. Patients in this example need to meet the following conditions:

[0049] 1. Over 18 years old;

[0050] 2. No mental illness;

[0051] 3. Non-craniofacial surgery;

[0052] 4. The main anesthetic drug used is propofol.

[0053] General changes in EEG under propofol anesthesia are as follows: image 3 Shown:

[0054] As the depth of anesthesia deepened, the complexity gradually decreased, and the frequency first increased and then decreased. From image 3 It can be seen in the figure that the decrease rate of complexity is obvious when awake to light anesthesia, and after the moderate anesthesia period, with the deepening of anesthesia, the change of frequency is more obvious than the complexity.

[0055] Step 1: The first step is to collect EEG signals, which are gen...

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Abstract

The invention discloses an electroencephalograph-based anesthesia depth monitoring method. The electroencephalograph-based anesthesia depth monitoring method comprises the following steps of (11) collecting electroencephalograph signals of a patient during the whole operation process for the patient needing an operation with anesthesia, and calibrating the state of anesthesia in time intervals according to actual requirement; (12) removing artifacts and noise in the electroencephalograph signals for the collected electroencephalograph signals; (13) calculating frequency domain index, complexity and burst suppression index for the interference-free electroencephalograph signals obtained in the step (12); (14) according to index parameters in the step (13), dividing the signals into five types of sobriety, light anesthesia, medium anesthesia, deep anesthesia and ultra-deep anesthesia; (15) assigning the weights of the index parameters in the step (13), integrating the indexes into Ai index, and carrying out the judgment of anesthesia depth according to the Ai index, wherein the Ai index is equal to FORMULA, and indexi is an index parameter in the step (13), and wi is the weight of the index parameter. Different weight values are given according to varied obvious degree at different periods, so that the obtained Ai value is more reasonable.

Description

technical field [0001] The invention relates to a method for monitoring the depth of anesthesia based on electroencephalogram signals, in particular to a method for monitoring the depth of anesthesia based on electroencephalogram. technical background [0002] In the clinical operation process, the patient is in the appropriate depth of anesthesia is the prerequisite for the smooth operation of the operation. If the anesthesia is too light for the patient, events such as intraoperative awareness, body movement, and memory generation may occur. In severe cases, the patient may also have painful memories and cause psychological disorders. If the anesthesia is too deep, it will not only increase the cost of medication, prolong the patient's recovery time, and reduce the turnover efficiency of the operating room, but also may cause serious side effects to the patient. Therefore, anesthesia monitoring is an important task during the operation. Commonly used clinical anesthesia ...

Claims

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Application Information

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IPC IPC(8): A61B5/16A61B5/0476
CPCA61B5/4821A61B5/72A61B5/7203A61B5/7264A61B5/369
Inventor 珠淮刘军
Owner ZHEJIANG PEARLCARE MEDICAL TECH
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