Respiratory waveform identification method and system

Abstract

The invention discloses a respiratory waveform identification method. The method includes the steps of a, detecting a respiratory air flow in a respiratory cycle; b, measuring the amplitude of the respiratory air flow and the time of the respiratory cycle; c, by multiple sampling points, determining an inhaling waveform and an exhaling waveform according to the amplitude and the time; d, normalizing the amplitude and the time of one of the inhaling waveform and the exhaling waveform to build a normalized waveform; accumulating a difference value between a reference waveform and the normalized waveform so as to calculate a flow coefficient which determines that the normalized waveform can be identified as a normal respiration state and an abnormal respiration state. The method has the advantages that a curve (or a weighted curve or a standard waveform) is used to fit the inhaling waveform or the exhaling waveform so as to calculate the difference value, and the normal respiration state and the abnormal respiration state are identified by accumulating the difference value. The invention further provides a respiratory waveform identification system.

Description

technical field [0001] The present invention relates to the field of respiratory state identification, in particular to a respiratory waveform identification method and a system thereof that fit at least a part of respiratory airflow by at least one of a curve, a weighted curve, and a standard waveform. Background technique [0002] Usually, when a patient cannot obtain the required oxygen concentration (hereinafter referred to as abnormal breathing state) during the process of breathing by the patient, the patient can use a ventilator to maintain the breathing movement required by the human body to supplement the oxygen concentration. [0003] The abnormal breathing state usually occurs during the patient's sleep, and usually the abnormal breathing state can be further divided into brief apnea (apnea), shallow breathing (hypopnea) or shallow slow breathing (flowlimitation), respectively in Details below. [0004] The definition of the short apnea is that during the sleep o...

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Problems solved by technology

[0013] However, although non-implantable detection technology can easily detect patients, there are still defects in traditional ventilators, that is, traditional ventilators cannot effectively and accurately distinguish the severity of abnormal breathing conditions. The problem will cause the ventilator to suppress the patient's breathing during the process of continuous pressurization of the patient, and cause more severe breathing disorders

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