Sleep staging method based on BCG and blood oxygen saturation rate

Abstract

The invention discloses a sleep staging method based on BCG and blood oxygen saturation rate. The sleep staging method comprises the following steps of collecting BCG data and blood oxygen saturationdata of the whole night; extracting a JJ interval from BCG signals to obtain a heart rate signal and heart rate variability; processing the BCG signal to obtain a respiratory rate signal, and calculating a cardiopulmonary coupling power spectrum; and establishing a state set S = {S1, S2, S3, S4} of the sleep process. According to the sleep staging method based on the BCG and the blood oxygen saturation rate, the accuracy degree of sleep staging of non-contact information collection can be improved, the characteristics of a sober state are extracted in a cardiopulmonary coupling power spectrummode, sleep staging training is optimized by a machine learning clustering analysis method, the accuracy degree of sleep staging is improved, and a user can be helped to obtain an accurate examinationresult of the sleep state in a non-inductive environment.

Description

technical field [0001] The invention belongs to the technical field of sleep, in particular to a sleep staging method based on BCG and blood oxygen saturation rate. Background technique [0002] With the rapid development of social economy, people pay more and more attention to health status. Sleep is one of the most important physiological activities for people. The quality of sleep directly or indirectly affects the healthy development of the human body. Due to fast-paced life, stress and bad living habits, more people suffer from sleep disorders. Therefore, it is very important to monitor and evaluate sleep. [0003] Sleep staging signals can be obtained through sleep monitoring. Accurate sleep staging can help people correctly understand their own sleep structure and sleep quality. Traditional sleep staging is usually achieved by polysomnography (PSG). PSG records and analyzes EEG, ECG, EMG, blood oxygen saturation, respiratory airflow, chest respiration, and abdominal...

AI Technical Summary

Problems solved by technology

[0006] However, in the prior art, most sleep staging methods are based on electrocardiographic signals (ECG). One is that the ECG needs to be contacted to obtain the signal, and the other is that the accuracy of sleep staging is difficult to improve.

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