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Sleep apnea detection method and device based on difference visible graph

A technology of sleep apnea and detection method, applied in the field of medical detection, can solve the problems of high cost and large sleep disturbance of subjects, and achieve the effect of improving the accuracy rate

Pending Publication Date: 2022-02-25
中山大学深圳 +1
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current standard for sleep detection is polysomnography, which greatly disturbs the sleep of the subjects and is costly

Method used

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  • Sleep apnea detection method and device based on difference visible graph
  • Sleep apnea detection method and device based on difference visible graph
  • Sleep apnea detection method and device based on difference visible graph

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Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. For the step numbers in the following embodiments, it is only set for the convenience of illustration and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art sexual adjustment.

[0038] refer to figure 1 , the present invention provides a sleep apnea detection method based on difference visible graph, the method comprises the following steps:

[0039] Collect signal data while the user is sleeping and extract the interval sequence;

[0040] Coarse-graining the interval sequence to obtain the coarse-grained interval sequence;

[0041] Mapping the visibility graph (VG) and the horizontal visibility graph (HVG) of the coarse-grained interval sequence to obtain the difference visibility graph (...

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Abstract

The invention discloses a sleep apnea detection method and device based on a difference visible graph. The method comprises the following steps: acquiring signal data of a user in a sleep state, and extracting an interval sequence; performing coarse graining processing on the interval sequence to obtain a coarse-grained interval sequence; carrying out mapping of a visible graph and a horizontal visible graph on the interval sequence after coarse graining to obtain a difference visible graph and a node degree sequence corresponding to the difference visible graph; and calculating the mean value and the Shannon entropy of the node degree sequence, and detecting sleep apnea according to a calculation result. The device comprises a memory and a processor used for executing the sleep apnea detection method based on the difference visibility graph. By using the sleep apnea detection method, the accuracy of sleep apnea detection can be improved, and the robustness is high. The sleep apnea detection method and device based on the difference visible graph can be widely applied to the field of medical detection.

Description

technical field [0001] The invention relates to the field of medical detection, in particular to a sleep apnea detection method and device based on a difference visible map. Background technique [0002] Sleep apnea syndrome (SAS) affects a wide range, especially in my country, where about 66 million people suffer from this disease, which seriously endangers people's lives and increases social burden. Sleep apnea can easily lead to an increased incidence of various diseases, such as memory loss, Alzheimer's disease, cardiovascular disease and diabetes. Therefore, timely diagnosis of sleep apnea is of great significance. The current standard for sleep detection is polysomnography, which greatly disturbs the sleep of the subjects and is costly. Contents of the invention [0003] In order to solve the above technical problems, the object of the present invention is to provide a sleep apnea detection method and device based on the difference visible map, which is simple, acc...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/318A61B5/352A61B5/0205
CPCA61B5/4818A61B5/318A61B5/0205A61B5/02A61B5/352
Inventor 刘官正唐岚
Owner 中山大学深圳
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