Non-contact sleep assessment method and device based on cpc

Abstract

The embodiment of the invention provides a non-contact sleep assessment method and device based on CPC. The method comprises the steps of generating micromotion data which is generated according to amicrovibration signal of body organs, conducting multi-resolution wavelet transform processing on the micromotion data to obtain a heart rate representation signal and a respiratory rate representation signal, extracting a corresponding heart rate sequence and a respiratory rate sequence from the heart rate representation signal and the respiratory rate representation signal respectively, and generating a corresponding coherence spectrum, a cross-power spectrum and a cardiopulmonary coupling spectrogram for sleep assessment according to the heart rate sequence and the respiratory rate sequence. Multiple types of sign parameters do not need to be collected, the data collection dimensionality and difficulty are lowered, the equipment cost is also lowered, and popularization is facilitated. Meanwhile, since the micromotion data of the organs is adopted to conduct multi-resolution wavelet transform processing, the heart rate representation signal and the respiratory rate representation signal are separated out; therefore, a micromotion sensing device does not need to be in contact with the human body surface, and the influence on a testee is avoided.

Description

technical field [0001] The invention relates to the medical field, in particular to a CPC-based non-contact sleep assessment method and device. Background technique [0002] Sleep plays an important role in a person's life. The quality of sleep will directly affect people's life. At the same time, as the hazards of sleep and sleep disorder-related diseases become increasingly clear, people pay more and more attention to their own sleep quality and apnea during sleep. [0003] The current clinical "gold standard" for analysis and diagnosis is polysomnography (PSG). The use of PSG monitoring usually requires the acquisition of multiple types of sign parameters, such as EEG, electrooculogram, electromyogram, nasal airflow information, chest and abdominal movement, blood oxygen saturation SpO2 information, electrocardiogram, blood pressure information, snoring records, etc. Generally, as many as a dozen electrodes need to be pasted on the subject, which will interfere with th...

AI Technical Summary

Problems solved by technology

Generally, as many as a dozen electrodes need to be pasted on the subject, which will interfere with the subject's normal sleep, affect the subject's physical and psychological state, and also easily form the "first night effect", which makes the detection The result deviates

At the same time, PSG is relatively expensive, and the signal acquisition is complicated, requiring professional training personnel to operate

It is not conducive to popularization in ordinary small and medium-sized hospitals and homes

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