Real-time sleeping point detection method and system based on energy judgment and sleep aiding device

Abstract

The invention provides a real-time falling-asleep point detection method and system based on energy judgment and a sleep aiding device. The method comprises the following steps: collecting a real-time electroencephalogram signal of a forehead lobe of a user through an electrode; carrying out filtering and downsampling processing, and carrying out artificial artifact judgment; if the artifacts are non-artificial artifacts, the electroencephalogram signals are processed through a sliding window, the relative power ratio is calculated based on the fast Fourier transform result, band-pass filtering and slow wave filtering of the Theta frequency band and the Alpha frequency band are conducted respectively, and whether the user falls asleep or not is judged based on the preset optimal energy threshold parameter and the preset duration parameter. According to the scheme of the invention, the falling-asleep point can be accurately identified, the real-time performance, the accuracy and the reliability are relatively high, and the method can be conveniently combined with some sleep intervention means to help the user to fall asleep more quickly and obtain higher-quality sleep.

Description

technical field [0001] The invention relates to the field of sleep detection, in particular to a real-time sleep-onset point detection method, system and sleep aid device based on energy judgment. Background technique [0002] About one-third of a person's life is spent on sleep. The main function of sleep is to maintain and regulate the balance of important systems in the body. Poor sleep quality and lack of sleep will affect all aspects of the body's functions, thereby affecting work and life. [0003] The point of falling asleep and the time it takes to fall asleep are important criteria for judging sleep quality, so the technology of falling asleep point detection is very important. Real-time and accurate sleep point judgment can be combined with some sleep closed-loop intervention methods to assist some sleep aids such as music, pink noise, aromatherapy, etc. to help people fall asleep faster and obtain higher sleep quality. Sleeping point detection requires high real...

AI Technical Summary

Problems solved by technology

However, this solution is not a real-time detection technology. The time window for sleep judgment is 20 minutes. If the detection time window is too long, the detection results may easily cause delay and misjudgment.

Therefore, the real-time and accuracy of detection cannot meet the requirements of sleep point detection.

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