Sleep staging method, system and device based on ballistocardiogram signal and medium

Abstract

The invention discloses a sleep staging method, system and device based on a ballistocardiogram signal and a medium. The method comprises the following steps: collecting a first ballistocardiogram signal of a human body; acquiring a first heartbeat signal and a first respiration signal according to the first heart impact signal; acquiring a first heart rate variability and a first cardiopulmonary coupling power spectrogram according to the first heartbeat signal and the first respiration signal; inputting the first heart rate variability and the first cardiopulmonary coupling power spectrogram into a sleep staging model for feature extraction, performing sleep staging according to extracted features, and outputting a staging result; wherein the sleep staging model is obtained by training by adopting electrocardiosignals and then adjusting by adopting ballistocardiogram signals on the basis of transfer learning. The sleep staging is realized through the ballistocardiogram signal, and since the ballistocardiogram signal can be acquired in a non-invasive manner, the comfort of sleep monitoring is improved. The method can be widely applied to the field of sleep monitoring.

Description

technical field [0001] The present invention relates to the field of sleep monitoring, in particular to a sleep staging method, system, device and medium based on cardiac shock signals. Background technique [0002] With the improvement of living standards, people pay more and more attention to their health. Sleep is one of the most important physiological activities of people, and the quality of sleep directly affects people's health. Among them, sleep staging is an important indicator for evaluating sleep quality. [0003] Medically, polysomnography (PSG) is used for sleep monitoring, but the monitoring procedure is complicated, the equipment is expensive, and it is highly invasive to the human body, so it is difficult to carry out long-term sleep monitoring. The prior art performs sleep staging based on electroencephalogram signals (EEG), electro-oculogram signals (EOG), and electrocardiogram signals (ECG), but collecting the above-mentioned electrical signals is somewh...

AI Technical Summary

Problems solved by technology

[0003] Medically, polysomnography (PSG) is used for sleep monitoring, but the monitoring procedures are complex, the equipment is expensive, and it is highly invasive to the human body, making long-term sleep monitoring difficult

The existing technology performs sleep staging based on electroencephalogram signals (EEG), electrooculogram signals (EOG), and electrocardiogram signals (ECG), but collecting the above-mentioned electrical signals is invasive to a certain extent.

At present, there is still a lack of a non-invasive collection method for sleep staging of the human body

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