Patient consciousness disturbance degree monitoring and early warning system and method

Abstract

The invention provides a patient consciousness disturbance degree monitoring and early warning system and method. The method comprises the steps that through the contact between electro encephalography electrodes and the human body, the electro encephalography signals of the human body are collected and subjected to filtering processing and digital processing respectively to obtain monitoring data; the monitoring data is saved, the saved monitoring data is read, and the monitoring data is subjected to analytical processing to obtain various data quantized values; an early warning threshold is set, and an alarm is started when the data quantized values exceed the early warning threshold. The patient consciousness disturbance degree monitoring and early warning system and method have the advantages that through continuous electro encephalography signal monitoring and the quantitative analysis indexes of an energy spectrum and nonlinear dynamics, medical staff can know the changes of the patient consciousness disturbance degree in real time for a long time, the defects of a traditional medical consciousness disturbance degree assessment scale is made up for, and long-term and continuous monitoring and early warning for a patient with consciousness disturbance are emphasized so that the medical staff can adjust the therapeutic schedule according to the changes of the patient consciousness disturbance degree in time, thereby truly improving the condition of the patient.

Description

technical field [0001] The present invention relates to the technical field of medical devices, in particular to a detection and early warning system and method for disturbance of consciousness, especially a system for judging the degree of disturbance of consciousness and giving early warning in a timely manner based on real-time monitoring and analysis of patients' EEG signals. Background technique [0002] Disturbance of consciousness refers to the impairment of people's ability to recognize and perceive the surrounding environment and their own state, mostly due to impairment of high-level nerve center function activities (consciousness, sensation, and movement). Disturbance of consciousness is a relatively common clinical disease. Most clinical disciplines and medical staff often encounter patients with disturbance of consciousness, especially neurology, neurosurgery, emergency department, intensive care unit, etc. Almost all critically ill patients have temporary or pe...

AI Technical Summary

Problems solved by technology

However, the acquisition and extraction of EEG signals in the above-mentioned patent documents are not continuous. The extraction of EEG signal features mainly includes the EEG signal sample entropy extraction module, EEG signal approximate entropy extraction module, EEG signal permutation entropy extraction module and brain The electrical signal complexity LZC extraction module extracts the values ​​of the four characteristic indicators of the brain wave signal curve, such as sample entropy, approximate entropy, permutation entropy and complexity LZC, and then sends them to the feature classifier through the dynamic feature sending module, which cannot be used for a long time Continuous and continuous monitoring and early warning of patients

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