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Sleep apnea detection method, device and equipment and storage medium

A technology for sleep apnea and detection methods, which is applied in neural learning methods, diagnostic recording/measurement, medical science, etc., can solve problems such as poor robustness, inconsistent signal quality, and low detection accuracy of sleep apnea, and achieves improved practicality. performance, reduce labor and equipment costs, improve efficiency and accuracy

Inactive Publication Date: 2022-07-29
SOUTH CHINA NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing sleep apnea detection mainly collects the user's physiological state during sleep through the contact sensor, such as blood oxygen saturation signal, respiratory effort signal, etc. However, the contact sensor has high physiological load and complex inspection and analysis technology. , Disadvantages of high labor cost consumption
Non-contact sensors have the characteristics of signal aliasing, poor robustness, and obvious individual differences, and will be interfered by motion artifacts, power frequency noise, environmental noise, etc., resulting in inconsistent signal quality and unable to obtain accurate sleep apnea detection information, resulting in low accuracy of sleep apnea detection

Method used

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  • Sleep apnea detection method, device and equipment and storage medium
  • Sleep apnea detection method, device and equipment and storage medium
  • Sleep apnea detection method, device and equipment and storage medium

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Embodiment Construction

[0029] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as recited in the appended claims.

[0030] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It will also be understood that the term "and / or" as...

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Abstract

The invention relates to the field of sleep apnea detection, in particular to a sleep apnea detection method which comprises the following steps: acquiring an oxyhemoglobin saturation signal and a respiratory effort signal of a user to be detected in a preset time period, dividing the oxyhemoglobin saturation signal into a plurality of oxyhemoglobin saturation signal sections, dividing the respiratory effort signal into a plurality of respiratory effort signal segments; inputting the plurality of oxyhemoglobin saturation signal segments into a first depth classification model to obtain a first detection sequence corresponding to each oxyhemoglobin saturation signal segment, and inputting the plurality of respiratory effort signal segments into a second depth classification model to obtain a second detection sequence corresponding to each respiratory effort signal segment; performing fusion processing on the first detection sequence and the second detection sequence corresponding to the same sampling period to obtain a third detection sequence corresponding to each sampling period after fusion processing; and according to the third detection sequence, acquiring sleep apnea detection information of the to-be-detected user in the time period.

Description

technical field [0001] The present invention relates to the field of sleep apnea detection, in particular to a sleep apnea detection method, device, equipment and storage medium. Background technique [0002] Sleep is an important physiological activity that plays a key role in the physical and mental self-recovery of the human body. In recent years, with the acceleration of people's life rhythm and the increase of work pressure, people are increasingly aware of their own health, and sleep apnea detection can reflect the quality of sleep; [0003] The existing sleep apnea detection mainly collects the physiological state of the user during sleep through contact sensors, such as blood oxygen saturation signal, respiratory effort signal, etc. However, contact sensors have high physiological load and complex inspection and analysis technology. , The disadvantage of large labor cost. Non-contact sensors have the characteristics of signal aliasing, poor robustness, and obvious ...

Claims

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Application Information

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IPC IPC(8): A61B5/00G06K9/00G06K9/62G06N3/04G06N3/08
CPCA61B5/4809A61B5/4812A61B5/4815A61B5/4818A61B5/4821A61B5/14542A61B5/7267G06N3/08G06N3/044G06N3/045G06F2218/12G06F18/241
Inventor 张涵田媛媛余宝贤朱玮玮侯月莫志锋陈锡和邓伟杰庞志强
Owner SOUTH CHINA NORMAL UNIVERSITY