Anesthesia state monitoring system based on electroencephalogram analysis technology

Abstract

The invention discloses an anesthesia state monitoring system based on an electroencephalogram analysis technology. The anesthesia state monitoring system comprises EEG acquisition equipment used for acquiring and preprocessing EEG signals of a patient in an anesthesia state, a central processing unit used for processing and normalizing the acquired EEG signals of the patient in the anesthesia state, and a background analysis terminal used for performing core algorithm analysis processing on the preprocessed and normalized EEG signals of the patient; and the EEG acquisition equipment comprises an EEG acquisition patch, an EEG collector used for acquiring the EEG signals is further fixedly mounted on the EEG acquisition patch, a conductive silica gel layer is further arranged at the outer side of the EEG acquisition patch, and a PET protective film is further bonded to the outer side of the conductive silica gel layer. According to the system, the trend analysis of quantitative indexes and the anesthesia depth monitoring of electroencephalogram real-time spectrogram analysis are combined, the spontaneous or induced rhythmic bioelectric activity of a frontal lobe cortex are measured and described so as to monitor the unconscious state depth of the patient under anesthesia, and the efficiency and safety of the system on anesthesia use monitoring are improved.

Description

technical field [0001] The invention belongs to the technical field of EEG analysis and anesthesia state monitoring, and in particular relates to an anesthesia state monitoring system based on EEG analysis technology. Background technique [0002] General anesthesia (GA) depth levels need to be appropriate for the individual patient undergoing surgery, if anesthesia is deeper than necessary to keep the patient unconscious, anesthesia-related complications such as postoperative nausea, vomiting, and cognitive function may increase Obstacles, etc.; if the depth of anesthesia is too shallow, the patient may not completely lose consciousness, and there is a risk of intraoperative awareness; therefore, the optimal dosage is important for achieving ideal and effective analgesia, unconsciousness and immobility in order to reduce insufficient dose or The potential negative effects of overdose are crucial. In traditional anesthesia techniques, anesthesiologists mainly observe clinica...

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Problems solved by technology

[0002] General anesthesia (GA) depth levels need to be appropriate for the individual patient undergoing surgery, if anesthesia is deeper than necessary to keep the patient unconscious, anesthesia-related complications such as postoperative nausea, vomiting, and cognitive function may increase Obstacles, etc.; if the depth of anesthesia is too shallow, the patient may not completely lose consciousness, and there is a risk of intraoperative awareness; therefore, the optimal dosage is important for achieving ideal and effective analgesia, unconsciousness and immobility in order to reduce insufficient dose or The potential negative effects of overdose are crucial. In traditional anesthesia techniques, anesthesiologists mainly observe clinical signs such as blood pressure, heart rate, respiration, sweating, pupillary reflex, pulse oximetry, tearing, eye movements, and facial expressions. However, the use of drugs such as muscle relaxants and vasodilators makes the analysis of these signs difficult and unreliable, and the level of anesthesia depth cannot be fully grasped through simple clinical observation. In other words, in the traditional use of EEG patches under anesthesia, conventional pressure adsorption patches and application of medical detection gel are used to complete the operation. Hygiene is difficult to guarantee. For patients, the detection experience is very bad. For this reason, we need an anesthesia status monitoring system based on EEG analysis technology

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