System for detecting asynchronous breathing events and associated methods and components

By integrating data from electrical impedance tomography equipment in the mechanical ventilation system, detecting and classifying asynchronous respiratory events, the problem of mismatch between the mechanical ventilation machine and the patient's respiratory rhythm is solved, and the efficiency and safety of mechanical ventilation are improved.

CN119730785APending Publication Date: 2025-03-28TIMPEL MEDICAL BV
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Patent Information

Application Number
CN202380056215.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2022-07-06
Filing Date
2023-07-06
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

When mechanical ventilation is used, asynchronous events between the ventilator and the patient's breathing rhythm may reduce the efficiency of the mechanical ventilation and cause harm to the patient, such as by over-inflation or under-inflation of the patient's lungs.

Method used

A system is employed that includes a receiver, processor and memory device by receiving ventilation data from a mechanical ventilator, airway flow sensor or airway pressure sensor, and impedance data from an electrical impedance tomography device. The system is able to retrieve plethysmographics, flow waveforms, and pressure waveforms and compare them to determine if an asynchronous breathing event occurs and classify it.

Benefits of technology

By detecting and classifying asynchronous breathing events, the system can help reduce mismatch between mechanical ventilation machines and patients, reduce harm to patients, and improve the efficiency and safety of mechanical ventilation.

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Abstract

A method includes retrieving a lung volume waveform from an electrical impedance tomography device. The method also includes retrieving at least one of a flow waveform and a pressure waveform. The method also includes aligning the lung volume waveform and at least one of the flow waveform and the pressure waveform relative to time. The method further includes comparing the lung volume waveform to at least one of the flow waveform and the pressure waveform. The method also includes determining whether an asynchronous breathing event occurs based on comparing the lung volume waveform to at least one of the flow waveform and the pressure waveform. The method also includes classifying the asynchronous breathing event. The method also includes providing an alert identifying the asynchronous breathing event. A system includes a receiver, a processor, and a memory device configured to perform the method.
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