Sleep music system

Abstract

The invention relates to a sleep music system. A conventional sleep music system cannot be controlled and regulated according to the sleep state of a user. The sleep music system comprises a basic data processor, a processor and a music player, wherein the basic data collector is used for acquiring real-time EEG information of the user and generating single frame data packages to be transmitted tothe processor; and the processor is used for receiving the single frame data packages, performing processing to form each data for controlling the music player, and then controlling the operating state of the music player through a decision tree. Through the adoption of the sleep music system disclosed by the invention, the situation that the user can use the music player to realize the functionsof awakening and sleep assisting is guaranteed, the situation that the trigger opportunities of awakening and sleep assisting are matched with the real-time sleep state of the user is guaranteed, then the functional using comfortability is promoted, and the using experience is promoted.

Description

technical field [0001] The invention relates to the field of bedding, in particular to a sleep music system. Background technique [0002] The quality of sleep directly affects people's health and even life expectancy, and more and more people have sleep disorders because of the accelerated pace of life. Medical research shows that occasional insomnia can lead to fatigue and uncoordinated movements the next day, while long-term insomnia can lead to inability to concentrate, memory impairment, and inability to work. In order to improve sleep quality, it is necessary to apply external stimuli according to the sleep state of the user, and sound stimulation is an important sleep-aiding stimuli. [0003] Specifically, professional sleep detection equipment is used to collect EEG bioelectric signals, and then various characteristic parameters of EEG bioelectric signals are extracted through different analysis methods. Finally, classification algorithms are used to identify sleep ...

AI Technical Summary

Problems solved by technology

[0003] Specifically, professional sleep detection equipment is used to collect EEG bioelectric signals, and then various characteristic parameters of EEG bioelectric signals are extracted through different analysis methods. Finally, classification algorithms are used to identify sleep states in each stage of sleep, and then through specific The stimulation method improves the quality of sleep, so how to judge the sleep state and control the working state of the music player according to the sleep state to implement the functions of sleep aid and wake-up for the user has become the focus of research at this stage. The timing cannot match the sleep state, not only cannot play the role of sleep aid, but also lead to poor sleep quality and affect the user experience

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