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Non-invasive method for monitoring patient respiratory status via successive parameter estimation

A patient, estimated value technology, applied in the direction of respirator, application, drug device, etc., can solve problems such as noise sensitivity

Active Publication Date: 2018-02-13
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Methods that operate on selected parts of the respiratory cycle also limit the fraction of data points used in the fitting process, which makes the estimated results more sensitive to noise

Method used

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  • Non-invasive method for monitoring patient respiratory status via successive parameter estimation
  • Non-invasive method for monitoring patient respiratory status via successive parameter estimation
  • Non-invasive method for monitoring patient respiratory status via successive parameter estimation

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Embodiment Construction

[0023] The following relates to the characterization of respiratory parameters during patient ventilation, in particular the respiratory muscle pressure P mus (t), breathing resistance R rs and respiratory compliance C r or Elastic E r =1 / C r . In principle, these parameters can be estimated using the equation of lung motion (equation (1)), which relates these parameters to the pressure P at the ventilator interface y (t) and air flow together with the air volume of the lungs relevant. In practice, due to the respiratory muscle pressure P mus (t) varies over time, so P is jointly estimated using the lung motion equation mus (t), R rs and E rs is usually underdetermined and cannot be solved analytically. Various ways of dealing with this include using invasive probes to measure additional information, or creating "special case" environments through manipulations such as interrupting normal breathing. Invasive probes have significant disadvantages, and techniques t...

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Abstract

A Moving Window Least Squares (MWLS) approach is applied to estimate respiratory system parameters from measured air flow and pressure. In each window, elastance Ers (or resistance Rrs) is first estimated, and a Kalman filter may be applied to the estimate. This is input to a second estimator that estimates Rrs (or Ers), to which a second Kalman filter may be applied. Finally, the estimated Ers and Rrs are used to calculate muscle pressure Pmus(t) in the time window. A system comprises a ventilator (100), an airway pressure sensor (112), and an air flow sensor (114), and a respiratory system analyzer (120) that performs the MWLS estimation. Estimated results may be displayed on a display (110) of the ventilator or of a patient monitor. The estimated Pmus(t) may be used to reduce patient-ventilator dyssynchrony, or integrated to generate a Work of Breathing (WOB) signal for controlling ventilation.

Description

technical field [0001] The following generally relates to systems and methods for monitoring and characterizing respiratory parameters during ventilation of a patient. It finds particular application in, and will be described with particular reference to, systems that provide real-time diagnostic information to clinicians to personalize a patient's ventilation strategy and improve patient outcomes. However, it should be understood that it can also be applied to other usage scenarios, and is not necessarily limited to the above-mentioned applications. Background technique [0002] Parameters of the respiratory system (resistance R rs and compliance C rs ) and the patient's inspiratory effort (respiratory muscle pressure P mus Real-time assessment of (t)) provides clinicians with valuable diagnostic information to optimize ventilation therapy. [0003] Able to use good P mus (t) Estimation to quantify the patient's inspiratory effort and select an appropriate level of ven...

Claims

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Application Information

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IPC IPC(8): A61B5/085A61M16/00
CPCA61M16/0003A61B5/085A61M16/0677A61B5/087A61M2205/505A61M2230/06A61M2230/205A61M2230/46A61M2230/435A61M2230/432A61M2230/42A61M2202/0208A61M2016/0027A61M2016/0036A61M2202/0007A61M2230/005A61M16/026A61B5/7203A61B5/7225A61B5/725A61B5/742A61M2205/3303A61M2205/502
Inventor 王东F·比卡里奥A·阿尔巴内塞N·卡拉莫列赫科斯N·W·什巴特
Owner KONINKLJIJKE PHILIPS NV
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