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Laboratory anesthesia operation simulation control system and method based on Internet of Things

A technology of analog control and Internet of Things, applied in the direction of respirators, etc., can solve the problems of poor accuracy of anesthesia depth estimation, low safety and reliability, and reduced work efficiency, so as to improve safety and reliability, improve work efficiency, The effect of precise identification

Pending Publication Date: 2021-04-16
ZUNYI MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems and defects of the existing technology are: the existing laboratory anesthesia operation simulation control system and method based on the Internet of Things are cumbersome and inconvenient to operate during the induction process, which not only reduces work efficiency, but also has low safety and reliability ; at the same time, the accuracy of anesthesia depth estimation is poor

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  • Laboratory anesthesia operation simulation control system and method based on Internet of Things
  • Laboratory anesthesia operation simulation control system and method based on Internet of Things
  • Laboratory anesthesia operation simulation control system and method based on Internet of Things

Examples

Experimental program
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Embodiment 1

[0090] The laboratory anesthesia operation simulation control method based on the Internet of Things provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as image 3 As shown, the method for anesthesia induction operation provided by an anesthesia machine receiving host induction instructions provided by an embodiment of the present invention includes:

[0091] S201. An induction instruction is received by the anesthesia machine, so that the machine enters an induction process according to the induction instruction, wherein the induction process includes an oxygen denitrification phase, a drug induction phase, and a tracheal intubation phase.

[0092] S202. The anesthesia machine executes the oxygen supply and denitrification phase after receiving the induction instruction, controls the anesthesia machine to output oxygen at a preset concentration, and flushes the circuit and the breathing circuit of the anesthes...

Embodiment 2

[0100]The laboratory anesthesia operation simulation control method based on the Internet of Things provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 4 As shown, the method for estimating the depth of anesthesia through the depth of anesthesia estimation program provided by the embodiment of the present invention includes:

[0101] S301. Obtain EEG signal training data through an estimation program; the EEG signal training data is the EEG signal of the examiner during the entire anesthesia period.

[0102] S302. Extract the spectral feature map of the EEG signal training data; the spectral feature map includes a spectrogram during an awake period, a spectrogram during an anesthesia period, and a spectrogram during a recovery period.

[0103] S303. Input the frequency spectrum feature map into a convolutional neural network model, and use a genetic algorithm to optimize initial weights in the convol...

Embodiment 3

[0116] The laboratory anesthesia operation simulation control method based on the Internet of Things provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 5 As shown, the method for evaluating the anesthesia effect through the effect evaluation program provided by the embodiments of the present invention includes:

[0117] S401. Acquire the anesthesia operation parameters; wherein the anesthesia operation parameters include anesthesia injection volume data, anesthesia time, simulation control parameters and residual errors.

[0118] S402. Calculate parameter satisfaction of the anesthesia operation and error satisfaction of the residual error respectively.

[0119] S403. Perform calculation according to the parameter satisfaction degree of the anesthesia operation and the error satisfaction degree to obtain the effect of the anesthesia operation.

[0120] The method for separately calculating the para...

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Abstract

The invention belongs to the technical field of anaesthesia operation simulation control, and discloses a laboratory anaesthesia operation simulation control system and method based on the Internet of Things. The laboratory anesthesia operation simulation control system based on the Internet of Things comprises an injection amount detection module, an anesthesia time setting module, a simulation parameter configuration module, a main control module, an Internet of Things communication module, an anesthesia injection module, an anesthesia induction module, an anesthesia depth estimation module, an anesthesia effect evaluation module, a data storage module and a display module. The safety and reliability of anesthesia are effectively improved through the anesthesia induction module, and the operation is simple and convenient; meanwhile, the weight of each layer in a convolutional neural network is optimized by utilizing a genetic algorithm through the anesthesia depth estimation module, so that the training process is prevented from falling into local optimum, and the prediction precision is improved; and a back propagation algorithm is adopted to adjust the weight, so that the reliability of the prediction model is ensured, and the anesthesia depth state of a to-be-detected person can be identified more accurately.

Description

technical field [0001] The invention belongs to the technical field of anesthesia operation simulation control, and in particular relates to a laboratory anesthesia operation simulation control system and method based on the Internet of Things. Background technique [0002] General anesthesia refers to the process of injecting anesthetics into the body through inhalation, intravenous, intramuscular injection or rectal infusion to suppress the central nervous system, resulting in the loss of consciousness of the patient and no pain in the whole body. This method of anesthesia is commonly known as the "asleep state", which is characterized by the loss of consciousness of the patient, relaxation of the muscles of the whole body, and no pain. The most commonly used method of general anesthesia is tracheal intubation general anesthesia, which is characterized by the use of intravenous anesthetics or inhalational anesthetics to produce general anesthesia, and tracheal intubation a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61M16/01
Inventor 周雯静刘程曦张琳曹嵩袁城栋王海英
Owner ZUNYI MEDICAL UNIVERSITY