A detection method of brain self-regulation index for sleep apnea

Abstract

A brain self-regulation index detection method for sleep apnea, comprising five steps, step 1, performing preprocessing such as denoising and down-sampling on tissue blood oxygen and pulse oximetry collected by a near-infrared spectrum recorder; step 2. Calculate the moving correlation coefficient r between tissue blood oxygen and pulse blood oxygen; Step 3: Weight the obtained moving correlation coefficient in sections to obtain the weighted moving correlation coefficient wr; Step 4: Calculate the weighted average of the weighted moving correlation coefficient to obtain the brain self-regulation Index CARindex; step 5, assessing the influence of sleep apnea syndrome on brain self-regulation function through the brain self-regulation index; the present invention can effectively avoid defects such as complicated data collection and difficult operation in the existing method.

Description

technical field [0001] The invention belongs to the technical field of biomedical signal processing, and particularly relates to a method for evaluating the risk of sleep apnea by using near-infrared spectrum technology to calculate a brain self-regulation index based on cerebral blood oxygen data. Background technique [0002] Repeated episodes of apnea in patients with sleep apnea syndrome can cause hypoxemia and hypercapnia, which can lead to neurological dysfunction, endocrine disorders, and hemodynamic changes, causing damage to multiple organs throughout the body and seriously threatening human health . Clinical studies have confirmed that it is closely related to a variety of fatal diseases, including stroke, hypertension, coronary artery disease and so on. [0003] Polysomnography (PSG) is currently the gold standard for diagnosing sleep apnea syndrome. By recording a number of physiological parameters of the patient during sleep, including EEG, ECG, EMG, mouth and...

AI Technical Summary

Problems solved by technology

[0013] In order to overcome the defects of the above-mentioned existing methods, the object of the present invention is to provide a sleep apnea-oriented brain self-regulation index detection method, using near-infrared spectrum technology to calculate tissue blood oxygen and pulse from the collected brain near-infrared spectrum signals Blood oxygen signal, during sleep apnea, pulse blood oxygen will be reduced to a certain extent, at this time, the self-regulation ability of the brain will be directly reflected in tissue blood oxygen signal, and the moving weighted correlation coefficient between tissue blood oxygen signal and pulse blood oxygen signal Calculate and finally get the brain self-regulation index to evaluate the impact of sleep apnea syndrome on the brain self-regulation function. Using this method can effectively avoid the existing methods such as complex data collection and difficult operation.

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