Monitoring device for depth of anesthesia

Abstract

A monitoring device for depth of anesthesia relates to the field of a medical monitoring device. A four-core ARM microprocessor circuit is used as a controlling and computing core of the whole device, and client-oriented comprehensive applications are realized on an intelligent Android operating system. The high-performance microprocessor circuit is connected with an electroencephalogram signal acquisition processing circuit, a video processing circuit, a broadband network interface circuit, a WIFI communication circuit, a data storage circuit, a digital printing circuit, a clock circuit, a USB interface circuit, a power supply management circuit and an LCD display circuit. According to the monitoring device, a patient can monitor the electroencephalogram signal of the patient in real time through the monitoring device; an anesthesia depth index is obtained through mathematical model calculation; and an anesthesia degree of the patient can be quantitatively monitored, thereby preventing a clinical risk caused by anesthesia overdosage or inadequate anesthesia of the patient.

Description

technical field [0001] The invention relates to a medical monitoring device, as well as electronic technology, computer communication technology and embedded software technology. technical background [0002] At present, the monitoring of general anesthesia patients in the operating room generally uses traditional multi-parameter monitors to judge the anesthesia of patients. Monitoring the anesthesia degree of anesthetized patients through multi-parameters cannot obtain an accurate evaluation of the anesthesia degree, which often leads to anesthesia overdose and anesthesia. Insufficient conditions, both of which present great risk and harm to the patient. [0003] The device of the present invention mainly solves the monitoring and monitoring of the degree of anesthesia. Its principle is to connect the patient and the CSM module through the sensor, analyze and calculate the parameters such as the depth of anesthesia index obtained by the CSM module, and connect the display s...

AI Technical Summary

Problems solved by technology

[0002] At present, the monitoring of general anesthesia patients in the operating room generally uses traditional multi-parameter monitors to judge the anesthesia of patients. Monitoring the anesthesia degree of anesthetized patients through multi-parameters cannot obtain an accurate evaluation of the anesthesia degree, which often leads to anesthesia overdose and anesthesia. Insufficient conditions, both of which present significant risk and harm to the patient

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