Sleep quality monitoring system and method based on magnetocardiogram

Abstract

The invention relates to a sleep quality monitoring system and method based on a magnetocardiogram. The monitoring method comprises the steps of S10, collecting magnetocardiogram signals and blood oxygen signals of the sleep time of a target user by means of the monitoring system; S20, performing preprocessing and noise reduction processing on the magnetocardiogram signals, screening available magnetocardiogram signal time periods, and obtaining a middle magnetocardiogram signal; S30, extracting the middle magnetocardiogram signal by adopting a QRS wave detection method and a cardiopulmonary coupling algorithm to obtain a characteristic signal for reflecting the sleep quality of the target user; S40, conducting preprocessing and characteristic value extraction on the blood oxygen signals, and adopting a pre-trained machine learning model for screening a time period capable of reflecting a breathing event of the target user; and S50, based on the characteristic value and the characteristic signal of the blood oxygen signals in the screened time period, obtaining a sleep quality evaluation result of the target user. The method can be used for monitoring the breathing event in time sequence and improving the detection accuracy and credibility.

Description

Technical field [0001] The present invention relates to the field of biomedical technology, and more particularly to a sleep quality monitoring system based on a cardiomagnetography and a monitoring method. Background technique [0002] Sleep respiratory disorder (SDB) is a disease that snoring in the evening, daytime sleeping as the main characteristics, because the patient will accompany the repeated breathing during snoring, it will cause repeated awakening of the cerebral cortex, causing blood oxygen content Reduce, causing important organs such as brain, heart and other important organs. And when the long-term chronic hypoxia in the human body may induce hypertension, arrhythmia, myocardial infarction, and angina pectoris, more serious is that there may be sudden death. Children's sleep respiratory (SDB) If the timely diagnosis and effective intervention will lead to a series of severe complications, such as maxillofacial development abnormalities (glandular faces), behavior...

AI Technical Summary

Problems solved by technology

Due to the problem of diagnostic accuracy, none of the above sensors can match the gold standard PSG (polysomnography), especially for sleep monitoring of sleep disordered breathing (SDB) in children, all portable devices are not up to the diagnostic standard

[0004] The gold standard PSG has high requirements for technicians, complex operation, high price, and cannot be widely used. Therefore, it is necessary to provide a sleep quality monitoring system with low cost and easy operation, which can monitor the user's sleep state in real time and monitor the user's sleep quality. Quality is rated

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