Vasoactive drug injection system based on AI and invasive blood pressure monitoring

Through the AI-based vasoactive drug injection system, blood pressure and electrocardiogram signals are collected in real time, and the LSTM and DQN models are used to dynamically adjust the drug infusion rate, which solves the problems of lag and insufficient precision of traditional manual adjustment, realizes precise and personalized drug infusion, and ensures the patient's hemodynamic stability.

CN119818764BActive Publication Date: 2025-09-23JIANGSU PROVINCE HOSPITAL (THE FIRST AFFILIATED HOSPITAL OF NANJING MEDICAL UNIVERSITY)
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Patent Information

Application Number
CN202411901648.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-23
Publication Date
2025-09-23
Estimated Expiration
2044-12-23

AI Technical Summary

Technical Problem

Traditional vasoactive drug injection methods rely on manual adjustment, have delayed response and insufficient accuracy, are difficult to adapt to rapidly changing clinical conditions, and increase treatment risks.

Method used

A vasoactive drug injection system based on AI and invasive blood pressure monitoring is used. Real-time data is collected through invasive blood pressure sensors and multi-lead electrocardiographs. Combined with hemodynamic prediction models and drug dosage optimization models, the drug infusion rate is automatically adjusted, and dynamic adjustments are made using LSTM and DQN models.

Benefits of technology

It achieves precise and personalized adjustment of drug infusion, reduces the delay and error of manual adjustment, and ensures the patient's hemodynamic stability.

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Abstract

The present invention discloses a vasoactive drug injection system based on AI and invasive blood pressure monitoring, comprising: a data acquisition module for collecting physiological data; a core computing module for constructing a hemodynamic prediction model and a vasoactive drug dosage optimization model to obtain a prediction curve and vasoactive drug infusion rate adjustment; an injection control module for receiving the vasoactive drug infusion rate adjustment and generating a flow rate instruction; a flow sensor for monitoring the flow rate of the vasoactive drug injected by the injection control module and generating a control signal for the injection drive unit in the injection control module; and a human-computer interaction module for displaying necessary parameters. Thus, by real-time acquisition of arterial blood pressure data and electrocardiogram signals, combined with the cumulative dose of the vasoactive drug, a more accurate and personalized drug infusion rate adjustment can be provided, ensuring the patient's hemodynamic stability and reducing delays and errors caused by manual adjustments.
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