Voice frequency sleep assisting device based on brain wave signals

A brainwave and audio technology, applied in the field of audio sleep aid devices based on brainwave signals, can solve problems such as poor sleep aid effect, interfere with user sleep, and cannot be analyzed in real time, and achieve good adaptability and good sleep aid effect. Effect

Inactive Publication Date: 2015-01-07
TAIYUAN TEMARU ELECTRONICS TECH CO LTD
View PDF10 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Voice frequency sleep assisting device based on brain wave signals
  • Voice frequency sleep assisting device based on brain wave signals

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0014] Reference figure 1 , An audio sleep aid device based on brainwave signals, including a host, a signal detection and measurement system, an MP3 player, and earphones. The host includes a DSP processor, a signal processing module, a communication module, an audio memory, and a real-time clock alarm key module , Power supply module, the signal detection and measurement system includes a conductive cloth forehead brain wave measurement sensor, a conductive cloth eye movement signal measurement sensor, a conductive cloth pulse detection and measurement sensor, a motion measurement sensor, the DSP processor is respectively connected to the signal detection and measurement system, Signal processing module, communication module, audio memory, real-time clock alarm key module, power supply module, MP3 player, switch and volume buttons, said audio memory is connected to MP3 player, said MP3 player is connected to earphones, and said communication modules are respectively Connect th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B5/0476A61B5/11A61B5/02A61B3/113A61M21/02
CPCA61B3/113A61B5/02A61B5/11A61M21/02A61B5/291A61B5/369
Inventor 李武庚
Owner TAIYUAN TEMARU ELECTRONICS TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products