Anaesthesia monitoring device and its monitoring method

Abstract

An anesthesia monitoring equipment and its method feature that the repeated stimulating sound signals at 35-45 Hz are used to stimulate the patient to obtain stable auditory evoked potentials (AEP), the interference can be removed by a simple easy digital processing method, and the anesthesia state of the patient, such as ASSR and tendency chart, is calculated and displayed.

Description

technical field [0001] The invention relates to an anesthesia monitoring device and a monitoring method thereof, in particular to a device and a method for monitoring safe anesthesia depth and muscle relaxation by monitoring auditory evoked potentials (AEP-Auditory Evoked Potentials). Background technique [0002] Anesthesia (Anesthesia) is the use of drugs or non-drugs to temporarily lose consciousness of the patient's entire body or a part of the body in order to achieve the goal of painlessness. It is an important guarantee for medical operations. 2% of patients will be aware during the operation (the anesthesia is too light), causing the patient's psychological unhappiness, fear of surgery, etc. In addition, there are also cases where the patient's recovery is difficult or even died due to too deep anesthesia. Therefore, there is an urgent need for a reliable, Methods and instruments for continuously and quantitatively monitoring the depth of anesthesia, so as to provide...

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Problems solved by technology

Therefore, this method can only be used as an auxiliary means to determine the depth of anesthesia and must be combined with clinical signs

[0006] 3. Traditional EEG monitoring method

For example, WIPO has disclosed the patent application of PCT / DK00 / 00623 (publication number WO01 / 74248A1) of DANMETER A / S (DANMETER A / S), which mainly utilizes the auditory evoked potential produced by the patient in response to a repetitive sound stimulus (AEP) to repeatedly extract the AEP and use the fast extraction method and the superposition average method combined with its unique autoregressive model to extract the auditory evoked potential index AAI, so that the depth of anesthesia becomes a monitoring index of 0 to 100, so as to intuitively distinguish the patient's sobriety and Anesthesia, but this monitoring method is weak in AEP signal and extremely low in signal-to-noise ratio, resulting in poor stability of the monitoring system, weak anti-interference ability, high requirements for the working environment, and unstable performance in the general surgical environment. Poor monitoring effect affects its popularization and application

In particular, in this method, the transient AEP index is taken as the comprehensive analysis object, and the index calculated by it is easily disturbed and a false index appears, which affects the anesthesiologist's judgment on the depth of anesthesia.

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