Anesthesia depth monitor utilizing auditory stimulation and near infrared spectroscopy

Abstract

The invention relates to an anesthesia detector, which comprises a signal generator, a paster, and the receiving optical fiber and transmitting laser fiber on the paster, analyzing circuit, data collecting circuit, and data analyzing system. The invention uses sound induction NIRS method to test the oxygen density of brain to test the brain metabolism, with the advantages of sound induction potential method and near-infrared laser oxygen testing method. The invention has high response as 0.1s, low cost and simple structure. And improve can improve the anesthesia quality, to judge the anesthesia depth.

Description

technical field [0001] The invention relates to an anesthesia monitoring device, in particular to an anesthesia depth monitoring device through auditory stimulation near-infrared spectroscopy. Background technique [0002] Anesthesia is the use of drugs or non-drugs to temporarily desensitize a patient's entire body or a part of the body in order to achieve painlessness. It is an important guarantee for medical operations. The depth of anesthesia is a very important index in surgical operations, and the effective monitoring of the depth of anesthesia has always been the goal pursued by anesthesiologists and biomedical engineering experts. [0003] In general anesthesia operations, the incidence rate of patients being aware of the operation is about 1% to 2%, which can cause psychological unhappiness, fear of surgery, distrust of doctors and related rebellious psychology. Therefore, it is necessary to ensure that the patient's consciousness is completely lost to avoid awaren...

AI Technical Summary

Problems solved by technology

But both methods can be difficult to monitor when metabolism is reduced by hypothermia or anesthesia

The experiment pointed out that neither BIS nor AAI can effectively predict cardiovascular response and body movement during general anesthesia-induced endotracheal intubation

BIS and AEP index are sensitive to reflect the depth of anesthesia during anesthesia induction and operation, but the sensitivity and specificity of reflecting consciousness in the anesthesia recovery period need to be further improved. Experiments point out that EEG-based monitoring has high sensitivity but specificity. Weak enough to fail to recognize brain disturbances due to permanent damage

[0007] Therefore, until now, there is no comprehensive method for reliable, continuous and quantitative monitoring of depth of anesthesia

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