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Sleep breathing mode identification method and device based on bioelectrical impedance

A technology of bioelectrical impedance and sleep breathing, which is applied in the field of medical monitoring, can solve problems such as unsatisfactory, and achieve the effects of eliminating interference, good anti-interference effect, and safe and convenient operation

Active Publication Date: 2015-06-03
SUN YAT SEN UNIV
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Problems solved by technology

However, the current sleep breathing monitoring methods and devices cannot meet the above requirements.

Method used

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  • Sleep breathing mode identification method and device based on bioelectrical impedance
  • Sleep breathing mode identification method and device based on bioelectrical impedance
  • Sleep breathing mode identification method and device based on bioelectrical impedance

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Embodiment Construction

[0053] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0054] Obtained in the course of the experiment, the change of the electrical impedance amplitude of the chest and abdomen has a strong correlation with the change of the respiratory signal. Therefore, the present invention collects the chest and abdomen respiratory impedance signal and combines the chest respiratory impedance signal obtained in the experiment. And the parameter model relationship of the abdominal respiratory impedance signal, the comparison of the phase, amplitude and frequency spectrum is carried out in segments, and different respiratory signals are classified and identified as different respiratory patterns.

[0055] Such as figure 1 As shown, it is a flowchart of a specific embodiment of the sleep breathing pattern recognition method based on bioelectrical impedance in the present invention. The specific ...

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Abstract

A method and an apparatus for identifying a sleep breathing pattern based on bioimpedance. The method comprises: collecting thorax and abdomen breathing bioimpedance signals of a human body; and segmenting the thorax breathing bioimpedance signal that is already digital signal data based on an amplitude change, analyzing an amplitude change relationship, a frequency spectrum difference relationship and a signal phase relationship between the corresponding thorax and abdomen breathing bioimpedance signals in each segment and establishing a parameter model, and performing classification and identification on sleep breathing signals of the human body based on the parameter model to determine a breathing pattern. The method has a good anti-interference effect, and can accurately identify a sleep breathing pattern of a human body in real time.

Description

technical field [0001] The invention relates to the field of medical monitoring, in particular to a bioelectrical impedance-based sleep breathing pattern recognition method and device. Background technique [0002] At present, polysomnography (PSG) is mostly used clinically to monitor the sleep status of patients. This equipment is bulky and complicated to operate. It requires patients to be checked in a sleep monitoring center, and it is not convenient to carry it around. For the simple method of monitoring sleep apnea of ​​patients, the mouth and nose airflow sensor is used for detection. This method can effectively monitor the number of sleep apnea, but it cannot effectively classify and identify sleep apnea as obstructive apnea, central apnea or mixed type. type pause. For patients with sleep apnea, it is necessary to effectively monitor and record the breathing pattern of the patient's sleep apnea, help doctors diagnose and identify the type of apnea in sleep apnea, fo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/053A61B5/08
CPCA61B5/053A61B5/085A61B5/113A61B5/4812
Inventor 蒋庆汪洪彬宋嵘
Owner SUN YAT SEN UNIV
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