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A detection system for sleep apnea syndrome based on mutual information network

A sleep apnea and detection system technology, applied in the field of medical detection, can solve the problems of inability to monitor and diagnose, and the cost of sleep laboratories is expensive, and achieve the effect of easy access

Active Publication Date: 2020-07-28
FUDAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The detection of PSG needs to sleep in a sleep laboratory for 1 to 2 days. The sleep laboratory is expensive and requires professional and technical personnel. Most OSA patients cannot go to the sleep laboratory for monitoring and diagnosis.

Method used

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  • A detection system for sleep apnea syndrome based on mutual information network
  • A detection system for sleep apnea syndrome based on mutual information network
  • A detection system for sleep apnea syndrome based on mutual information network

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Embodiment Construction

[0060] Database introduction: We use the MIT-Physionet Apnea database, which is divided into a training set and a test set. There are 35 nocturnal ECG signals with a length of about 8 hours in the training set and test set respectively, and the sampling frequency is 100Hz. Individuals range in age from 27 to 63 years and weigh from 53 kg to 135 kg.

[0061] There are 35 individuals in the training set. According to AHI=5 as the standard to divide healthy individuals and OSA individuals, 35 individuals can be divided into 22 OSA patients (AHI≥5) and 13 healthy individuals (AHI<5). Similarly, the 35 test set samples can be divided into 23 OSA patients and 12 healthy individuals.

[0062] Pass each ECG with a length of 8 hours through the following modules, see the flow chart figure 1 .

[0063] 1. ECG preprocessing module: use bandwidth filter (0.5-40Hz) to filter out power frequency noise and baseline drift in ECG signal. After the ECG signal is processed, it is re-sampled ...

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Abstract

The invention discloses a detection system for sleep apnea syndrome based on mutual information network. The system of the invention is composed of an ECG acquisition module, an ECG preprocessing module, an HRV signal extraction module, an HRV preprocessing module, a network generation module and a topological feature calculation module. The signal required by the system is a single-lead ECG signal, which is convenient to collect. The operation method of the detection system of the invention is simple and easy, and has high accuracy.

Description

technical field [0001] The invention belongs to the technical field of medical detection, and in particular relates to a detection system for sleep apnea syndrome based on a mutual information network. Background technique [0002] Sleep apnea is usually divided into three types: obstructive sleep apnea (OSA), central sleep apnea (CSA) and mixed sleep apnea (MSA). Among them, OSA refers to the symptoms of apnea and hypoventilation caused by upper airway obstruction during sleep. CSA refers to the symptoms of apnea without obstruction of the airway due to dysfunction of the respiratory center of the central nervous system or nerves or respiratory muscles that control the respiratory muscles. MSA is the coexistence of OSA and CSA. [0003] Obstructive sleep apnea syndrome (OSAS) refers to apnea and hypopnea during sleep. At present, about 40 million people in my country suffer from such diseases. People suffering from this disease are prone to symptoms such as daytime slee...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/20G06K9/00G06K9/62A61B5/00A61B5/0452A61B5/0456A61B5/352
CPCA61B5/4818A61B5/72A61B5/352A61B5/349G06F2218/04G06F18/232
Inventor 李翔董昭
Owner FUDAN UNIV