Anesthesia depth measuring device, storage medium and electronic equipment

Abstract

The invention discloses an anesthesia depth measuring device, a storage medium, and electronic equipment, which include: acquiring EEG signals, and extracting signal features of the EEG signals; acquiring predicted EEG signals corresponding to the EEG signals, and extracting predicted signal features of the predicted EEG signal; generating an analog EEG signal corresponding to the EEG signal according to the signal feature and the predicted signal characteristic, and determining an anesthesia depth value according to the simulated EEG signal. In the present invention, the simulated EEG signal is obtained by combining the predicted EEG signal generated by the network brain model with the actually measured EEG signal, and then the depth of anesthesia is calculated according to the simulated EEG signal, so that the predicted EEG signal can affect the actual Measuring the EEG signal for verification can improve the accuracy of the measured anesthesia depth, improve the reliability of the anesthesia depth, and improve the dynamic real-time tracking ability and anti-interference ability of the anesthesia depth measurement.

Description

technical field [0001] The invention relates to the field of ultrasonic technology, in particular to a measuring device, storage medium and electronic equipment for the depth of anesthesia. Background technique [0002] Before major surgery, patients need to be given general anesthesia (commonly known as general anesthesia), and general anesthesia has a very high risk. ", resulting in pain and fear and mental sequelae; therefore, how to accurately estimate the depth of anesthesia, so that doctors can determine the amount of anesthesia according to the depth of anesthesia, so as to improve the safety of anesthesia. [0003] At present, the methods of anesthesia depth monitoring based on EEG signals mainly include bispectral index, auditory evoked potential index, brain function state index, entropy index, complexity and wavelet analysis, etc. For example, the BIS monitor mainly launched by Aspect Company (now part of Covidien) in the United States actually uses bispectral an...

AI Technical Summary

Problems solved by technology

However, the above methods generally use the real EEG signal of the patient, and the real EEG signal will have interference signals during the acquisition process, which will cause the real EEG signal to be abnormal.

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