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Anesthesia depth index calculation method and anesthesia depth monitor

A technology of anesthesia depth and monitor, which is applied in the field of anesthesia, can solve the problems of BIS calculation limitations and low differentiation, and achieve an objective and reasonable test effect

Active Publication Date: 2019-07-02
湖南科迈科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method for calculating the depth of anesthesia index and a monitor for the depth of anesthesia to solve the problem of limitations in BIS calculation caused by the existing low differentiation

Method used

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  • Anesthesia depth index calculation method and anesthesia depth monitor
  • Anesthesia depth index calculation method and anesthesia depth monitor

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Experimental program
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Effect test

Embodiment 1

[0025] Such as figure 1 As shown, an anesthesia depth monitor includes a signal input module, an amplification module, and an analog-to-digital conversion module. The signal input module is used to receive simulated cerebral cortex electrical signals, and the amplification module is connected to the signal input module to amplify the cerebral cortical electrical signals. , the analog-to-digital conversion module is connected to the amplification module for converting the analog cerebral cortex electrical signal into a digital cerebral cortical electrical signal, and a calculation module is also included, and the calculation module is connected to the analog-to-digital conversion module for calculating the obtained digital cerebral cortical electrical signal , the calculation module includes a Fourier transform system and a weighted calculation module, and the Fourier transform system is used to analyze the digitized energy parameters of the EEG signal spectrum The weighted ca...

Embodiment 2

[0030] An anesthesia depth monitor includes a signal input module, an amplification module, and an analog-to-digital conversion module. The signal input module is used to receive simulated cerebral cortex electrical signals, and the amplification module is connected to the signal input module to amplify the cerebral cortical electrical signals. The conversion module is connected with the amplification module for converting the analog cerebral cortex electrical signal into a digital cerebral cortical electrical signal, and also includes a calculation module, the calculation module is connected with the analog-to-digital conversion module for calculating the obtained digital cerebral cortical electrical signal, and the calculation module Including Fourier transform system, weighting algorithm module, adaptive neuro-fuzzy system, Fourier transform system is used to analyze the digitized energy parameters of EEG signal spectrum The weighted calculation module is used to calculate ...

Embodiment 3

[0035] A method for calculating the depth of numbness index, which amplifies, A / D converts, and eliminates noise processing of the obtained EEG signal, and also includes calculating the activity of the cerebral cortex:

[0036] S1. Perform FFT transformation on the electrical signal of the cerebral cortex to obtain the energy parameters of the electrical signal of the cerebral cortex

[0037] S2. Using a weighted algorithm to calculate the energy parameters of the electrical signals of the cerebral cortex to obtain the comprehensive energy parameters D of the EEG signals.

[0038] S3. Perform a weighting algorithm on the comprehensive energy parameter D and the burst suppression ratio BSR% or input it into an adaptive neuro-fuzzy system to calculate and obtain a BIS value.

[0039] The FFT transform is a short-time FFT transform.

[0040] For example, if the type of input is alpha wave dominant type, the weight of D1 in the energy parameter is bound to increase; if the ty...

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Abstract

The invention discloses an anesthesia depth monitor which comprises a signal input module, an amplification module and an analog-digital conversion module. The signal input module is used for receiving simulated cortex electric signals, the amplification module is connected with the signal input module and used for amplifying the cortex electric signals, the analog-digital conversion module is connected with the amplifying module and used for computing the obtained digital cortex electric signals, the computing module comprises a Fourier conversion system and a weighing computing module or a self-adaptation nerve fuzzy system, the Fourier conversion system is used for analyzing digital energy parameters of the electroencephalogram frequency spectrum, the weighing computing module is used for calculating comprehensive energy parameters D and BIS values of the cortex activity electric signals. The accurate anesthesia depth monitoring value can be obtained, and the BIS values are more accurate.

Description

technical field [0001] The invention relates to the field of anesthesia, in particular to a method for calculating anesthesia depth index and an anesthesia depth monitor. Background technique [0002] Due to the use of powerful inhaled anesthetics, opioids, muscle relaxants and intravenous anesthetics in modern analgesic practice, the definition of analgesia cannot be simplified and unified. Another definition of anesthesia today is that anesthesia is a drug-induced unconscious state. It is believed that the loss of consciousness is threshold (all or no phenomenon), so there is no depth of anesthesia, but only suitable anesthesia venom. Appropriate analgesia is the concentration of one or several anesthetics to achieve a sufficient effect for the operation and to make the patient comfortable. Due to the diversity of pharmacological effects of combination drugs, it is almost impossible to determine the magnitude of different effects with one measure. [0003] Now medicine t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0476A61B5/00
CPCA61B5/4821A61B5/7203A61B5/7225A61B5/7235A61B5/7257A61B5/316A61B5/369
Inventor 杨桂华
Owner 湖南科迈科技有限公司
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