Unstable sleep state evaluation model based on brain wave frequency

Abstract

The invention relates to the field of sleep, in particular to an unstable sleep state evaluation model based on brain wave frequency. Existing sleep aiding methods and measures only roughly and integrally consider the latency-to-persistent-sleep period, an effective model for evaluating the state of the latency-to-persistent-sleep period of an individual in real time based on physiological data islacked, stages cannot be subdivided according to individual characteristics and targeted intervention can not be performed, and the sleep aiding effect is poor. According to the unstable sleep stateevaluation model based on the brain wave frequency, the condition that a sleep intention is generated after an individual lies on a bed is defined as a sleep preparation period and is combined with anexisting latency-to-persistent-sleep period and a light sleep N1 period as a whole; and meanwhile, specific crowds with the same preset characteristics are screened for experiments, experimental dataof all stages are collected and analyzed, specifically, brain wave frequency is calculated in real time based on physiological indexes such as heart rate, respiratory rate and body movement in the falling-sleep stage, an evaluation model is established accordingly, the individual sleep state is judged in real time, information is provided for follow-up sleep aiding intervention adjustment, and the sleep aiding effect is enhanced.

Description

technical field [0001] The invention relates to the field of sleep, in particular to an evaluation model of an unsteady sleep state based on brain wave frequency. Background technique [0002] Sleep is an important physiological activity for people, and high-quality sleep can ensure good physical and mental health of the human body. The fast-paced and stressful modern life has caused many people to have trouble falling asleep. From the time when people go to bed at night to get up the next morning, the sleep process can be divided into 5 states, which are the latency period for falling asleep, the time it takes for an individual to fall asleep from trying to fall asleep to actually falling asleep; light sleep N1 Stage N2, which indicates a hazy state like sleep but not sleep and is easily awakened by the interference of the external environment; Stage N2 of light sleep, which means that it has entered a stable sleep and the body can shield internal and external stimuli that...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved and the technical task proposed by the present invention are to overcome the existing sleep aid methods and measures that only take a rough overall consideration of the sleep latency period, lack an effective model based on simple physiological data for real-time assessment of the individual sleep latency state, and cannot base on individual The characteristics are subdivided into different stages and targeted interventions are made, which leads to the problem that the final sleep aid effect is poor. The present invention provides a non-stable sleep state evaluation model based on brain wave frequency. The evaluation model is based on Heart rate, respiratory rate, body movement and other physiological indicators calculate the brain wave frequency in real time and establish an evaluation model based on this to judge the individual's current sleep state in real time, and provide information for subsequent sleep aid intervention adjustments to enhance the effect of sleep aid intervention

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