Fluid responsiveness detection device and method

US12569147B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12569147-B2
Application numberUS-202117489966-A
CountryUS
Kind codeB2
Filing dateSep 30, 2021
Priority dateApr 1, 2019
Publication dateMar 10, 2026
Grant dateMar 10, 2026

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Abstract

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A liquid reactivity detection device and method. The liquid reactivity detection device includes: a breathing signal acquisition module, a hemodynamic signal acquisition module and a liquid reactivity detection module. The breathing signal acquisition module and the hemodynamic signal acquisition module work in cases where the subject is in any one of the following breathing modes: a spontaneous breathing mode, a spontaneous breathing combined with mechanical ventilation mode, and a mechanical ventilation mode. The hemodynamic signal acquisition module is configured to acquire at least one hemodynamic signal of the subject. The breathing signal acquisition module is configured to acquire at least one breathing signal of the subject. The liquid reactivity detection module is configured to determine the liquid reactivity of the subject according to the breathing signal and the hemodynamic signal.

First claim

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What is claimed is: 1 . A fluid responsiveness detection device, comprising: a breathing signal acquisition module, a hemodynamic signal acquisition module and a fluid responsiveness detection module, wherein the breathing signal acquisition module and the hemodynamic signal acquisition module operate under a plurality of breathing modes of a subject, wherein the plurality of the breathing modes comprise: a spontaneous breathing mode, a spontaneous breathing and machine-controlled breathing mode, or a machine-controlled breathing mode; the hemodynamic signal acquisition module is configured to acquire at least one hemodynamic signal of the subject; the breathing signal acquisition module is configured to: obtain at least one breathing signal of the subject, the breathing signal corresponds to a respiratory cycle comprising one expiration and one inspiration of the subject; and the fluid responsiveness detection module is configured to determine a fluid responsiveness of the subject based on the breathing signal and the hemodynamic signal, wherein the fluid responsiveness detection module is further configured to: calculate respiratory variations and hemodynamic variations of the subject based on the breathing signals and the hemodynamic signals respectively obtained in N respiratory cycles, wherein N is a positive integer that is at least two and the respiratory variations and the hemodynamic variations represent changes in the breathing signals and the hemodynamic signals between the N respiratory cycles, and determine the fluid responsiveness of the subject based on the respiratory variations and the hemodynamic variations, including: when the respiratory variations and the hemodynamic variations in the N respiratory cycles meet variation correlation conditions of hemodynamic signals and breathing signals, determine that the subject exhibits good fluid responsiveness; and when the respiratory variations and the hemodynamic variations in the N respiratory cycles do not meet the variation correlation conditions of hemodynamic signals and breathing signals, determine that the subject exhibits poor fluid responsiveness, wherein the fluid responsiveness is configured to determine an applicability of a volume expansion therapy. 2 . The fluid responsiveness detection device of claim 1 , wherein the breathing signal further comprises a respiratory amplitude. 3 . The fluid responsiveness detection device of claim 1 , wherein the breathing signal acquisition module is further configured to acquire a breathing state parameter of the subject, and extract the breathing signal of the subject based on the acquired breathing state parameter, wherein the breathing state parameter comprises at least one of an airway pressure, an airway flow, a carbon dioxide flow, a tidal volume, a thoracic impedance signal, a magnetic signal, and a respiratory acoustic signal. 4 . The fluid responsiveness detection device of claim 1 , wherein: the breathing signal acquisition module is further configured to determine a breathing envelope of the hemodynamic signal based on the acquired hemodynamic signal, extract the breathing signal of the subject based on the breathing envelope, and determine a respiratory cycle based on a time difference between two adjacent crests or two adjacent troughs in the breathing envelope. 5 . The fluid responsiveness detection device of claim 1 , wherein the hemodynamic signal comprises at least one of a central venous pressure (CVP), a stroke volume (SV), a pulse oximetry plethysmograph (POP), a perfusion index (PI), a systolic arterial pressure (SAP), a pulse pressure (PP), a pre-ejection period (PEP), an inferior or superior versa cava diameter, and an aortic blood flow rate. 6 . The fluid responsiveness detection device of claim 1 , wherein the respiratory variation comprises a respiratory variation trend, a respiratory variation rate, and a respiratory variation value, and the hemodynamic variation comprises a hemodynamic variation trend, a hemodynamic variation rate, and a hemodynamic variation value; the fluid responsiveness detection module is further configured to perform one of the following operations: determining the fluid responsiveness of the subject based on the respiratory variation trend and the hemodynamic variation trend; determining the fluid responsiveness of the subject based on the respiratory variation rate and the hemodynamic variation rate; and determining the fluid responsiveness of the subject according to the respiratory variation value and the hemodynamic variation value. 7 . The fluid responsiveness detection device of claim 1 , wherein the fluid responsiveness detection module is further configured to determine whether the subject has good fluid responsiveness based on whether the hemodynamic variation and the respiratory variation meet variation correlation conditions of the hemodynamic signal and the breathing signal. 8 . The fluid responsiveness detection device of claim 2 , wherein the fluid responsiveness detection module is further configured to calculate a variation of the respiratory amplitude of the subject based on the respiratory amplitudes respectively obtained in the different respiratory cycles, and determine the fluid responsiveness of the subject based on the variation of the respiratory amplitude and the hemodynamic variation. 9 . The fluid responsiveness detection device of claim 1 , wherein the N respiratory cycles comprise adjacent respiratory cycles. 10 . A fluid responsiveness detection method, comprising: in switching among a plurality of breathing modes of a spontaneous breathing mode, a spontaneous breathing and machine-controlled breathing mode, or a machine-controlled breathing mode, acquiring at least one hemodynamic signal of a subject in different respiratory cycles; obtaining at least one breathing signal of the subject in different respiratory cycles; calculating respiratory variations and hemodynamic variations of the subject based on the breathing signals and the hemodynamic signals respectively obtained in N respiratory cycles, wherein N is a positive integer that is at least two and the respiratory variations and the hemodynamic variations represent changes in the breathing signals and the hemodynamic signals between the N respiratory cycles; determining the fluid responsiveness of the subject based on the hemodynamic variations and the respiratory variations, including: when the respiratory variations and the hemodynamic variations in the N respiratory cycles meet variation correlation conditions of hemodynamic signals and breathing signals, determine that the subject exhibits good fluid responsiveness; and when the respiratory variations and the hemodynamic variations in the N respiratory cycles do not meet the variation correlation conditions of hemodynamic signals and breathing signals, determine that the subject exhibits poor fluid responsiveness, wherein the fluid responsiveness is configured to determine an applicability of a volume expansion therapy. 11 . The fluid responsiveness detection method of claim 10 , wherein: when the breathing signal further comprises a respiratory amplitude, the respiratory variation comprises a variation of the respiratory amplitude; and calculating a variation of the respiratory amplitude of the subject based on the respiratory amplitudes respectively obtained in the different respiratory cycles; and determining the fluid responsiveness of the subject based on the variation of the respiratory amplitude and the hemodynamic variation. 12 . The fluid responsiveness detection method of claim 10 , wherein determining the flui

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Classifications

  • for monitoring or limiting apparatus function · CPC title

  • Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

  • Diagnosis combined with treatment in closed-loop systems or methods (A61B5/0036 takes precedence) · CPC title

  • Measuring volume of inspired or expired gases, e.g. to determine lung capacity · CPC title

  • Measuring breath flow · CPC title

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What does patent US12569147B2 cover?
A liquid reactivity detection device and method. The liquid reactivity detection device includes: a breathing signal acquisition module, a hemodynamic signal acquisition module and a liquid reactivity detection module. The breathing signal acquisition module and the hemodynamic signal acquisition module work in cases where the subject is in any one of the following breathing modes: a spontaneou…
Who is the assignee on this patent?
Shenzhen Mindray Biomedical Electronics Co Ltd
What technology area does this patent fall under?
Primary CPC classification A61B5/0205. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Mar 10 2026 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).