Voice frequency sleep assisting device based on brain wave signals

Abstract

The invention discloses a voice frequency sleep assisting device based on brain wave signals. The device utilizes a digital signal processor (DSP) as the core to achieve real-time analysis of brain wave signals, pulses, eye movement, head movement and the like. The fact that a user is in the sleep state is defined according to a signal analyzing comprehensive result, and different voice frequencies in a voice frequency storage are selected according to the sleep degree to help the user to enter the sleep. After the user enters the sleep, the device enters the standby mode, and the voice frequencies are closed automatically. The device is good in sleep assisting effect and has good adaptability on a human body, a measurement sensor and an electrode are installed in a head belt which is bound to the forehead of the user and does not affect the sleep gesture of the user. The system is operated full automatically without any external adjusting command. The voice frequency output adopts a paster headset or a bone transfer module sensor which is arranged in the head belt or a pillow and is not arranged in the auditory meatus, and no long-term discomfort is generated.

Description

technical field [0001] The invention relates to a sleep aid device, in particular to an audio sleep aid device based on brain wave signals. Background technique [0002] Each cell of the human brain contains a huge electrochemical complex and a powerful micro-data processing and transmission system. When the brain is working, the ion movement in the nerve cells generates an electric current, and the 15 billion neurons in the brain continuously release micro-currents. The total electrical activity of the brain can be measured and recorded with an EEG analyzer. The forms of this electrical activity in the brain are different, ranging from fast to slow, resulting in brain waves of various frequencies. The neuroscience community is divided into five main categories according to the frequency of brain waves: beta brain waves, alpha waves, beta waves, delta waves, and kappa waves. These five brain waves are closely related to the human body's sleep and wakefulness. Audio is not a...

AI Technical Summary

Problems solved by technology

[0003] Some existing hypnotic instruments induce the listener to sleep through different hypnotic music combinations and changes. The disadvantage of these hypnotic instruments is that they cannot perform real-time analysis based on the insomniac's brain wave signals, eye movement and head movement signals, and change or stop the music at any time. Play, the effect of sleep aid is relatively poor, and some even interfere with the user's sleep

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