Sleep apnea detection method and device based on double attention mechanisms

Abstract

The invention discloses a sleep apnea detection method and device based on a double attention mechanism, and the method comprises the steps: obtaining an original electrocardiosignal, and carrying out the data preprocessing of the original electrocardiosignal, and obtaining RRI and Rpeak; performing feature extraction on the RRI and the Rpeak through a one-dimensional convolutional neural network module to obtain a first feature and a second feature; performing weight operation processing on the first feature and the second feature through a first attention module to obtain a third feature; then performing context dependency relationship capture processing on the third feature through a bidirectional long-short-term memory network module to obtain a fourth feature; performing weight operation processing on the first feature and the fourth feature through a second attention module to obtain a fifth feature; and finally, performing classification processing on the fifth features through a classifier to obtain a classification result. The method can comprehensively consider the influence of the electrocardiosignal on sleep apnea detection, realizes efficient and accurate sleep apnea detection, and can be widely applied to the technical field of medical data detection.

Description

technical field [0001] The invention relates to the technical field of medical data detection, in particular to a sleep apnea detection method and device based on a dual attention mechanism. Background technique [0002] Sleep apnea (SA) is a sleep-related breathing disorder characterized by repeated complete or incomplete cessation of respiratory airflow during sleep. It is estimated that around 1 billion people worldwide suffer from the disease. In the adult population, more than 14% of men and 5% of women suffer from sleep apnea. However, the vast majority of sleep apnea patients are not diagnosed and treated in a timely manner. Failure to diagnose and treat sleep apnea in time can lead to complications such as daytime sleepiness, high blood pressure, coronary heart disease, and heart failure. Prompt diagnosis and treatment of sleep apnea is important to prevent its complications. [0003] Polysomnography (PSG) is an internationally recognized and effective instrument...

AI Technical Summary

Problems solved by technology

However, these methods often rely heavily on the prior knowledge of experts during the feature extraction process, and the detection performance is greatly limited.

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