Wavelet-based ventilator pipeline effusion automatic detection method

An automatic detection and ventilator technology, applied in the direction of respirator, pressure difference measurement between multiple valves, measuring devices, etc., can solve the problems of heavy nurse workload, ventilator flow rate, pressure waveform changes, and secondary lung infection and other issues, to achieve the effect of reducing secondary damage, improving the level of use, and improving the effect of treatment

Active Publication Date: 2019-06-14
ZHEJIANG UNIV
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Problems solved by technology

When there is a large amount of fluid in the pipeline, there is a risk of suffocation of the patient; secondly, the fluid provides an environment for the reproduction of germs, which can easily lead to secondary infection of the lungs, such as pneumonia
Third, the effusion will cause changes in the flow rate and pressure waveform of the ventilator, resulting in false triggering
There are many reasons for the accumulation of fluid in the ventilator circuit, including the lack o

Method used

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  • Wavelet-based ventilator pipeline effusion automatic detection method
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  • Wavelet-based ventilator pipeline effusion automatic detection method

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Embodiment Construction

[0032] In the solution of the present invention, the original respiration data is composed of continuous respiration cycles. In order to facilitate the determination of effusion for each respiratory cycle, the present invention divides the original respiratory data into respiratory cycles so that its continuous respiratory cycles are divided into separate respiratory cycles. In order to facilitate independent analysis of the inspiratory phase and the expiratory phase, the continuous breathing cycle is divided into independent breathing cycles, and then the switching point of inhalation and exhalation in each breathing cycle is detected. Then wavelet analysis and reconstruction were performed on the respiratory pressure waveform to obtain the characteristic waveform of effusion. Finally, a threshold-based effusion detection method is used to detect the occurrence of effusion.

[0033] In order to better explain the present invention and facilitate understanding, the present in...

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Abstract

The invention relates to a wavelet-based ventilator pipeline effusion automatic detection method which comprises detecting an inhalation starting point based on a flow velocity waveform, detecting anexhalation starting point based on the flow velocity waveform, performing wavelet decomposition on a respiratory pressure waveform and performing effusion detection based on a dynamic threshold. According to the method, the condition of the effusion in a pipeline can be detected automatically in real time, the erroneous triggering of a ventilator caused by the effusion in the ventilator pipeline and the injury to a patient caused by the airflow transportation obstacle caused by the change of the airway diameter are effectively reduced, the use level of the ventilator is improved, and the treatment effect of the patient is improved.

Description

technical field [0001] The invention relates to a wavelet-based automatic detection method for ventilator pipeline effusion, which can automatically detect the presence of fluid in the pipeline in real time, and effectively reduce the false triggering of the ventilator caused by the fluid in the ventilator pipeline and the cause of changes in the diameter of the airway. The damage to patients caused by airflow delivery obstacles can be improved, the use level of ventilators can be improved, and the treatment effect of patients can be improved. Background technique [0002] The ventilator is the most important life support equipment in the Intensive Care Unit (ICU). Proper and reasonable use of ventilators can provide good mechanical ventilation support for patients with respiratory failure, ensure that patients take in sufficient oxygen, and provide precious time for medical staff to save their lives. However, improper use of the ventilator may cause lung damage and a serie...

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Application Information

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IPC IPC(8): A61M16/08A61M16/00G01L13/00
Inventor 张华青徐剑锋潘清
Owner ZHEJIANG UNIV
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