Respiration parameter setting method and device of respiratory support equipment and respiratory support equipment

Abstract

The invention provides a respiration parameter setting method and device of respiratory support equipment and the respiratory support equipment. The method comprises the steps of acquiring basic information of a patient; determining values of respiration parameters of the respiratory support equipment according to the basic information to set the respiration parameters, wherein the respiration parameters include at least one of the ventilation mode, the tidal volume, the inspiration pressure level, the inhaled oxygen concentration, the positive end-expiratory pressure, the inspiration time, the breath holding time, the rise time, the support pressure and the trigger sensitivity. The initial parameters of the respiratory support equipment can be automatically set so that the respiratory support equipment can be quickly matched with conditions of a patient, correspondingly the probability of patient-ventilator asynchrony is decreased, and the patient can quickly synchronize with the respiratory support equipment and start to receive respiratory therapy.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a breathing parameter setting method and device for breathing support equipment and the breathing support equipment. Background technique [0002] Clinically, before the ventilator picks up the patient, the doctor needs to set the breathing parameters according to the patient's condition. Unreasonable breathing parameters often increase the probability of man-machine confrontation, such as the rise of end-tidal carbon dioxide caused by insufficient ventilation, which causes Accelerated respiratory rate, or human-machine asynchrony caused by insufficient inspiratory time. Therefore, reasonable initial breathing parameters can reduce the probability of man-machine confrontation. [0003] However, due to the large number of respiratory parameters, the different conditions of patients, and the unevenness of doctors' ventilator knowledge and experience in ventilation support, theref...

AI Technical Summary

Problems solved by technology

[0003] However, due to the large number of respiratory parameters, the different conditions of patients, and the unevenness of doctors' ventilator knowledge and experience in ventilation support, therefore, in actual clinical practice, the initial parameter setting often does not match the patient's situation, which leads to the patient being put on the ventilator. After the human-machine confrontation, the parameters need to be adjusted many times to adapt to the patient, which will affect the progress of the treatment

Images