Critical medicine patient monitoring system

Abstract

The invention discloses an intensive medical patient monitoring system, which comprises an information acquisition module, a signal sampling module, a positioning identification module and a database, and is characterized by further comprising a first control unit, a second control unit, a third control unit, a threshold module and a first-aid control module, so that more than four high-level time periods appear within 5 minutes per unit time, and the first-aid control module is used for controlling the first-aid control module. If the time period is longer and longer, an early warning condition is triggered, when phenomena of abnormal breathing or sudden cardiac arrest and relatively high body temperature rise occur, the vital sign electric signal A of the critical patient reaches a threshold value, emergency early warning directly occurs, and after the critical medical patient goes through the early warning condition, the vital sign electric signal A of the critical patient reaches the threshold value within extreme time, and the critical medical patient goes through the early warning condition. And emergency early warning is triggered, so that the change of the signal is further monitored in advance in real time, the critical medical patient is intervened and rescued in advance, and more possible time is won for rescue of doctors.

Description

technical field [0001] The invention relates to the technical field of monitoring systems, in particular to a monitoring system for critically ill medical patients. Background technique [0002] At present, in the monitoring environment of critical care patients, real-time monitoring is based on data streams. When a patient’s vital signs are obviously abnormal, such as abnormal breathing or cardiac arrest, or a high body temperature, the monitoring and warning of critical care patients will be triggered. , it is necessary for an emergency doctor to arrive immediately for rescue. At this time, the time for early warning of critically ill medical patients is very short for doctors to rescue. Due to the limitation of simple data volume monitoring of critical medical patients, the early warning can only be triggered when the data reaches a certain threshold. Real-time anomaly analysis cannot be performed more accurately. Therefore, based on real-time monitoring of data streams, ...

AI Technical Summary

Problems solved by technology

[0002] At present, in the monitoring environment of critical care patients, real-time monitoring is based on data streams. When a patient’s vital signs are obviously abnormal, such as abnormal breathing or cardiac arrest, or a high body temperature, the monitoring and warning of critical care patients will be triggered. , it is necessary for an emergency doctor to arrive immediately for rescue. At this time, the time for early warning of critically ill medical patients is very short for doctors to rescue. Due to the limitation of simple data volume monitoring of critical medical patients, the early warning can only be triggered when the data reaches a certain threshold. Real-time anomaly analysis cannot be performed more accurately. Therefore, it is necessary to further monitor signal changes in real time in advance on the basis of real-time monitoring of data streams, so as to intervene in advance to save critical medical patients and buy more time for doctors to rescue them.

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