Automatic sleep apnea detection method and device based on heartbeat intervals

A technology for automatic detection of sleep apnea, applied in the field of medical data monitoring, can solve problems affecting the accuracy and precision of sleep apnea detection, user experience, flexibility and accuracy defects, and achieve improved accuracy and detection accuracy, large The effect of flexibility

Active Publication Date: 2020-05-19
BEIJING JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the ECG signal sampled at around 100Hz limits the depth of the neural network, thus affecting the accuracy and precision of sleep breathing detection
Therefore, existing sleep breathing detection methods have certain defects in user experience, flexibility and accuracy.

Method used

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  • Automatic sleep apnea detection method and device based on heartbeat intervals
  • Automatic sleep apnea detection method and device based on heartbeat intervals
  • Automatic sleep apnea detection method and device based on heartbeat intervals

Examples

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no. 1 example

[0037] This embodiment provides an automatic detection method for sleep apnea based on heartbeat intervals, figure 1 Shown is a schematic flow chart of the sleep apnea automatic detection method. like figure 1 As shown, the described sleep apnea automatic detection method based on heartbeat interval comprises the steps:

[0038] Step S1, collect human electrocardiogram (ECG) signals during sleep, and extract the heartbeat interval information of adjacent ECGs according to the R wave in the five waves of the electrocardiographic cycle PQRST to generate a time series of heartbeat intervals.

[0039] In this step, the collection of human body electrocardiogram ECG signals during sleep can be collected using simple and comfortable devices such as mobile devices. Preferably, the sampling frequency is 100Hz. The step of generating the time series of heartbeat intervals further includes resampling the extracted heartbeat interval information at a frequency of 2 Hz using linear int...

no. 2 example

[0096] This embodiment provides an automatic detection device for sleep apnea based on the heartbeat interval, image 3 Shown is a schematic structural diagram of the automatic detection device. like image 3 As shown, the sleep apnea automatic detection device includes: a heartbeat interval information collection module, a depth feature extraction module, a heart rate variability feature extraction module, and a sleep apnea judgment module; wherein,

[0097] The heartbeat interval information acquisition module is connected with the depth feature extraction module and the heart rate variability feature extraction module at the same time, and is used to collect human electrocardiogram ECG signals during sleep. According to the R wave in the five waves of the electrocardiographic cycle PQRST, Extract the heartbeat interval information of adjacent ECGs, generate a heartbeat interval time series, and send the heartbeat interval time series to the automatic feature extraction mod...

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Abstract

The invention provides an automatic sleep apnea detection method and device based on heartbeat intervals. The automatic sleep apnea detection method and device are used for solving the problems of inaccuracy and low precision for sleep apnea detection in the prior art. The automatic sleep apnea detection method comprises the steps of: collecting heartbeat interval information during sleep, automatically extracting features of the heartbeat interval information through a residual neural network, further extracting heart rate variability features, and fusing the automatically-extracted featureswith a heart rate variability feature set so as to judge whether apnea occurs or not. According to the invention, the heartbeat interval features in electrocardiogram ECG signals are extracted and deeply analyzed in the residual neural network; the heart rate variability features are combined; meanwhile, all weights in the residual neural network can be finely adjusted clinically; the flexibility,accuracy and precision of sleep detection are improved; meanwhile, only single-lead electrocardiogram information is needed; the collection process is simple and convenient; and considerable universality is achieved.

Description

technical field [0001] The invention belongs to the field of medical data monitoring, and in particular relates to an automatic detection method and device for sleep apnea based on heartbeat intervals. Background technique [0002] Sleep apnea (Sleep Apnea, SA) is a common respiratory disorder that causes sleep disorders. During REM sleep, complete obstruction of the airway by genioglossus, tendon, and fatty tissue for at least 10 seconds, or hypopnea with greater than 50% reduction in airflow and greater than 3% oxygen desaturation for 10 seconds, are called For apnea. According to the survey, sleep apnea has been affecting people all over the world for more than 30 years, and in 2008 the number of patients had reached 6% of the global adults. More and more patients with apnea are at risk of cardiovascular disease and clinical depression because they are not diagnosed and intervened in time. Numerous experiments have investigated the hazards of apnea, showing a strong co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/0205A61B5/0402
CPCA61B5/0205A61B5/02405A61B5/0245A61B5/4818A61B5/7235A61B5/318
Inventor 王晶林友芳韩升万怀宇武志昊董兴业张硕
Owner BEIJING JIAOTONG UNIV
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