Remote real-time monitoring method based on life support system

By working in tandem with the life support equipment and the remote control terminal, and by utilizing reception frequency statistics and cross-validation of medical record models, the issues of latency and accuracy in remote real-time monitoring have been resolved, ensuring the reliability of the equipment and the life and health of patients.

CN121565448APending Publication Date: 2026-02-24GENERAL HOSPITAL OF PLA
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Patent Information

Application Number
CN202511667030.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-14
Publication Date
2026-02-24

AI Technical Summary

Technical Problem

Existing remote real-time monitoring technologies for life support equipment have failed to effectively address the issue of high latency and have not considered how the monitoring data reflects the status of the equipment and the patient, resulting in reduced real-time performance.

Method used

By leveraging the independent operation of life support equipment and the remote control terminal, the remote control terminal performs frequency statistics on the received status data to determine equipment malfunctions or abnormal shutdowns. It also cross-validates the evaluation results with medical record models to ensure consistency in data processing logic and improve monitoring accuracy.

Benefits of technology

It effectively ensures the reliability of continuous equipment operation, reduces medical risks, and improves the accuracy of remote real-time monitoring and the maintenance of patients' life and health.

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Abstract

The invention discloses a remote real-time monitoring method based on a life support system, and relates to the technical field of data monitoring, and the method comprises the steps that life support equipment carries out the real-time collection and evaluation of the physical condition of a patient, and obtains state collection data and a corresponding first evaluation result; the remote control end counts the real-time state acquisition data according to the time data, determines the receiving frequency of the data, compares the acquisition frequency with the receiving frequency, and determines the running state of the life support equipment; if the running state of the life support equipment is a working state, performing physical state evaluation on the current state data to obtain a second state evaluation result, comparing the second state evaluation result with the first evaluation result, and if it is judged that the life support equipment has a problem in data processing, performing physical state evaluation on the life support equipment. If not, comparing the data processing logic of the life support equipment with the data processing logic of the remote control end, and if the processing scheme is not accurate, outputting an alarm signal. The method has the effect of improving the monitoring accuracy.
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