Ventilation regulation system

By optimizing ventilator parameters through a ventilation control system, the problems of patient-ventilator asynchrony and spontaneous breathing synchronization in mechanical ventilation were solved, achieving lung-protective ventilation, reducing the risk of lung injury, and improving treatment efficiency.

CN117547696BActive Publication Date: 2026-07-03XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI
Filing Date
2023-11-14
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively preserve patients' spontaneous breathing during mechanical ventilation, leading to patient-ventilator asynchrony, increasing the risk of lung injury, and failing to adjust ventilation parameters in real time according to the patient's condition, resulting in low treatment efficiency.

Method used

A ventilation control system is employed, which generates control signals to adjust the operating parameters of the ventilator through the control unit. Combined with the patient's spontaneous breathing status and medication process, iterative optimization of parameters such as respiratory rate, tidal volume and inspiratory time is achieved to ensure the synchronization and balance between mechanical ventilation and spontaneous breathing.

Benefits of technology

It reduces the probability of patient-ventilator asynchrony, decreases lung injury, improves treatment efficiency, adapts to changes in different patient conditions and medication processes, and ensures a balance between oxygenation and ventilation during mechanical ventilation.

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Abstract

This invention relates to a ventilation control system, comprising a control unit capable of generating control signals for adjusting the operating parameters of a ventilator. The control unit is capable of determining a normal control scheme in the following manner: determining several influencing parameters; inputting the determined influencing parameters into an established lung model to calculate the respiratory rate; calculating the inspiratory and expiratory times using the respiratory rate; calculating the tidal volume using the respiratory rate and determining the corresponding normal control scheme according to the calculated tidal volume, wherein the initially determined normal control scheme is used as the initiation scheme; and iteratively optimizing the respiratory rate to calculate the inspiratory time, expiratory time, and tidal volume of the next sequence, thereby updating the normal control scheme.
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