CN105126187A - Method and system for assisting sleeping through brain waves - Google Patents

Method and system for assisting sleeping through brain waves Download PDF

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Publication number
CN105126187A
CN105126187A CN201510548047.6A CN201510548047A CN105126187A CN 105126187 A CN105126187 A CN 105126187A CN 201510548047 A CN201510548047 A CN 201510548047A CN 105126187 A CN105126187 A CN 105126187A
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Prior art keywords
brain wave
filtering
eyeshield
music
brain
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CN201510548047.6A
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Inventor
童路遥
王君迪
林通
雷京颢
付全胜
易昊翔
李哲越
岳佳琴
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Hangzhou Kether Electronic Technology Co Ltd
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Hangzhou Kether Electronic Technology Co Ltd
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Priority to CN201510548047.6A priority Critical patent/CN105126187A/en
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Abstract

The invention belongs to the field of data processing, and provides a method and system for assisting sleeping through brain waves. The method comprises the steps that a brain wave sampling device filters sampled brain waves and transmits the sampled brain waves to an intelligent eye patch; the intelligent eye patch judges the state of the brain according to the variety of the filtered brain waves with the highest energy value, and music to be played is selected according to the state and external environment and sent to an intelligent terminal; the intelligent terminal sends the music to be played to the intelligent eye patch according to the music to be played, and therefore the intelligent eye patch can assist sleeping of a user. By the adoption of the method and system, the sleeping assisting process is rapid and accurate.

Description

A kind of method and system by brain wave assisting sleep
Technical field
The invention belongs to data processing field, particularly relate to a kind of method and system by brain wave assisting sleep.
Background technology
Brain wave is the carrier of people's behavior, and people are issued an order to the limbs such as hands, foot by brain wave, and realizes various function by limbs, detect brain wave and can obtain the most original order of people, the life be convenient for people to, but prior art detection brain wave makes to be inaccurate, and is easily interfered.
Summary of the invention
Given this, the invention provides a kind of method and system by brain wave assisting sleep, detect the inaccurate technical problem of brain wave to solve prior art.
The embodiment of the present invention is achieved in that a kind of method by brain wave assisting sleep, said method comprising the steps of:
The brain wave of brain wave sampling apparatus to sampling carries out filtering, and the brain wave through described filtering is sent to intelligent eyeshield;
Described intelligent eyeshield judges the state of brain according to the brain wave kind being in Energy maximum value in described brain wave after filtering, selects music to be played according to described state and external environment condition, and described music to be played is sent to intelligent terminal;
Music is sent to described intelligent eyeshield according to described music to be played by described intelligent terminal, to make the sleep of described intelligent eyeshield assisted user.
The embodiment of the present invention also provides a kind of system by brain wave assisting sleep, and described system comprises:
Brain wave sampling apparatus, for carrying out filtering to the brain wave of sampling, and is sent to intelligent eyeshield by the brain wave through described filtering;
Intelligence eyeshield, for judging the state of brain according to the brain wave kind being in Energy maximum value in described brain wave after filtering, selects music to be played according to described state and external environment condition, and described music to be played is sent to intelligent terminal;
Intelligent terminal, for music being sent to described intelligent eyeshield according to described music to be played, to make the sleep of described intelligent eyeshield assisted user.
The embodiment of the present invention, the brain wave of brain wave sampling apparatus to sampling carries out filtering, intelligence eyeshield judges the state of brain according to the brain wave kind being in Energy maximum value in brain wave after filtering, music to be played is selected according to state and external environment condition, intelligent terminal assists intelligent eyeshield to play music, with the sleep of assisted user, provide a kind of method according to the sleep of brain wave assisted user, make control procedure fast, accurately.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the flow chart by brain wave assisting sleep method that the embodiment of the present invention provides;
Fig. 2 a is the schematic diagram of the eeg signal to be detected that the embodiment of the present invention provides;
Fig. 2 b is the schematic diagram of the eeg signal after filtering that the embodiment of the present invention provides;
Fig. 3 is the power spectrum schematic diagram of the eeg signal to be detected after fast fourier transform that the embodiment of the present invention provides;
Fig. 4 is the structure chart by brain wave assisting sleep system that the embodiment of the present invention provides.
Detailed description of the invention
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
In order to technical solutions according to the invention are described, be described below by specific embodiment.
Embodiment one
Be illustrated in figure 1 the flow chart by brain wave assisting sleep method that the embodiment of the present invention provides, said method comprising the steps of:
Step S101, the brain wave of brain wave sampling apparatus to sampling carries out filtering, and the brain wave through described filtering is sent to intelligent eyeshield.
In embodiments of the present invention, first brain wave sampling apparatus carries out filtering to the brain wave of sampling, and brain wave is after filtering sent to intelligent eyeshield, wherein, described brain wave includes but not limited to: the δ brain wave that frequency is 0.4Hz ~ 30Hz, amplitude is 20 μ V ~ 200 μ V; The θ brain wave that frequency is 4Hz ~ 7Hz, amplitude is 100 μ V ~ 150 μ V; The alpha wave that frequency is 8Hz ~ 13Hz, amplitude is 5 μ V ~ 20 μ V; The β brain wave that frequency is 14Hz ~ 30Hz, amplitude is 5 μ V ~ 20 μ V.The brain wave of described brain wave sampling apparatus to sampling carries out filtering, is specially:
1, brain wave sampling apparatus carries out high-pass filtering to described brain wave.
2, brain wave sampling apparatus carries out notch filter to the brain wave through described high-pass filtering.
In embodiments of the present invention, 50Hz frequency signal is the strongest to the interference of eeg signal to be detected, therefore needs the filtering of 50Hz frequency signal by bandreject filtering.
Preferably, the embodiment of the present invention uses Notch notch filter to carry out trap process, is specially:
The transfer function of Notch notch filter is:
H ( z ) = ( z - z 1 ) ( z - z 2 ) ( z - ( 1 - μ ) z 1 ) ( z - ( 1 - μ ) z 2 )
The sample frequency of circumferential edge is 256Hz, needs the frequency of filtering to be 50Hz, and can obtain transfer function is:
H ( z ) = ( z - z 1 ) ( z - z * 1 ) ( z - p 1 ) ( z - p * 1 ) = ( z - 0.3368 - j 0.9415 ) ( z - 0.3368 + j 0.9415 ) ( z - 0.3365 - j 0.9406 ) ( z - 0.3365 + j 0.9406 ) = z 2 - 0.6736 z + 0.7136 z 2 - 0.6730 z + 0.999 = 1 - 0.6736 z - 1 + 0.7136 z - 2 1 - 0.6730 z - 1 + 0.999 z - 2 .
3, brain wave sampling apparatus carries out low-pass filtering to the brain wave through described notch filter.
In embodiments of the present invention, all interfering signals can be eliminated by last low-pass filtering treatment.
Preferably, the embodiment of the present invention uses Butterworth type low pass filter to carry out low-pass filtering treatment, concrete:
Frequency response curve in this low pass filter passband is the most smooth, does not does not rise and fall, and then drops to zero gradually at group frequency band.On the Bode diagram of the logarithm diagonal frequencies of amplitude, from frequency is seen on a certain border, amplitude the increase of angular frequency and reduces gradually, trend towards minus infinity, because power energy spectrum can be used in subsequent algorithm, do not wish that the amplitude produced in wave filter for effective frequency band produces interference, adopts this wave filter.
Required EEG signals frequency is 30Hz, and cut-off frequency is 30Hz, and filter order is second order.
Clearly following parameter is needed in Butterworth filter design process:
λ p: cut-off frequecy of passband;
α p: pass band damping, unit: dB;
λ s: stopband initial frequency;
α s: stopband attenuation, unit: dB.
The low pass filter λ designed herein p=30Hz, α p=3dB, λ s=60Hz, α s=30dB;
the exponent number that can calculate low pass filter is 5, wherein system function H (p) of normalization five rank Butterworth lowpass prototype filter
H ( p ) = 1 p 5 + 3.2361 p 4 + 5.2361 p 3 + 5.2361 p 2 + 3.2361 p + 1
Remove normalization impact
H ( s ) = H ( p ) | p = s Ω p = 60 5 π 5 s 5 + 3.236 × 60 πs 4 + 5.236 × 60 2 π 2 s 3 + 5.236 × 60 3 π 3 s 2 + 3.236 × 60 4 π 4 s + 60 5 π 5 Passable to clean brain wave signal after filtering.
The schematic diagram of the eeg signal to be detected provided for the embodiment of the present invention as shown in Figure 2 a, the schematic diagram of the eeg signal after filtering provided for the embodiment of the present invention as shown in Figure 2 b
Step S102, described intelligent eyeshield judges the state of brain according to the brain wave kind being in Energy maximum value in described brain wave after filtering, selects music to be played according to described state and external environment condition, and described music to be played is sent to intelligent terminal.
In the embodiment of the present invention, after Brilliant Eyes cover on the brain wave obtained after filtering, the brain wave kind being in Energy maximum value is obtained from this brain wave, the state of brain is judged according to this brain wave kind, select music to be played according to this state and external environment condition, and music to be played is sent to intelligent terminal.Described intelligent eyeshield judges the state of brain according to the brain wave kind being in Energy maximum value in described brain wave after filtering, comprising:
1. intelligent eyeshield carries out band separation to described brain wave after filtering;
2. intelligent eyeshield obtains the brain wave kind being in Energy maximum value in the brain wave after described band separation;
3. intelligent eyeshield judges the state of brain according to described brain wave kind.
Wherein, described intelligent eyeshield carries out band separation to described brain wave after filtering, comprising:
A. intelligent eyeshield obtained by fast fourier transform described in the energy value of each frequency band of brain wave after filtering;
B. intelligent eyeshield carries out band separation according to described energy value to described brain wave.
In embodiments of the present invention, after obtaining clean eeg signal by filtering, band separation is carried out to this eeg signal, be convenient to follow-up detection.Fast fourier transform can obtain the energy value of each frequency range electric wave signal, obtained the energy value of each frequency range by fast fourier transform after, band separation can be carried out according to this energy value, concrete: the window function of fast fourier transform selects Hanning window, the operation frequency point of each computing is 1024, corresponding θ (4 ~ 7Hz) is exported, the frequency spectral density of α (8 ~ 13Hz), β (14 ~ 30Hz) after quick Fourier transformation computation.
The foundation that the power spectrum drawn after fast fourier transform detects as allowance.First, the energy value calculating α frequency range (8-13Hz) accounts for the accounting (parameter 1) of whole frequency range (0.4-30Hz), and the meansigma methods of PSD is as threshold value A.This threshold value act as the peak value number found, frequency, amplitude (PSD), and calculate the second dervative of these peak values, be stored in array.And the power (parameter 2) at maximum that peak of the alpha band energy finally obtained.These two parameters are utilized to calculate relaxation state value, concrete: relaxation state=parameter 1+ parameter 2/1000000.
Be illustrated in figure 3 the power spectrum schematic diagram of the eeg signal to be detected after fast fourier transform that the embodiment of the present invention provides.
Step S103, music is sent to described intelligent eyeshield according to described music to be played by described intelligent terminal, to make the sleep of described intelligent eyeshield assisted user.
In embodiments of the present invention, music, after obtaining music to be played, is sent to intelligent eyeshield by intelligent terminal, sleeps to make intelligent eyeshield assisted user.Describedly select music to be played according to described state and external environment condition, be specially:
If external environment condition is evening, when intelligent eyeshield is according to described condition adjudgement user penetration depth sleep, intelligent eyeshield turns down the volume or closedown music of playing music; Or,
If external environment condition is noon, when intelligent eyeshield is according to described condition adjudgement user penetration depth sleep, heighten volume to wake user up.
The embodiment of the present invention, the brain wave of brain wave sampling apparatus to sampling carries out filtering, intelligence eyeshield judges the state of brain according to the brain wave kind being in Energy maximum value in brain wave after filtering, music to be played is selected according to state and external environment condition, intelligent terminal assists intelligent eyeshield to play music, with the sleep of assisted user, provide a kind of method according to the sleep of brain wave assisted user, make control procedure fast, accurately.
Embodiment two
Be illustrated in figure 4 the structure chart by brain wave assisting sleep system that the embodiment of the present invention provides, for convenience of explanation, the part relevant to the embodiment of the present invention be only shown, comprise:
Brain wave sampling apparatus 401, for carrying out filtering to the brain wave of sampling, and is sent to intelligent eyeshield 402 by the brain wave through described filtering;
Intelligence eyeshield 402, for judging the state of brain according to the brain wave kind being in Energy maximum value in described brain wave after filtering, selects music to be played according to described state and external environment condition, and described music to be played is sent to intelligent terminal 403;
Intelligent terminal 403, for music being sent to described intelligent eyeshield according to described music to be played, to make the sleep of described intelligent eyeshield assisted user.
In embodiments of the present invention, first brain wave sampling apparatus carries out filtering to the brain wave of sampling, and brain wave is after filtering sent to intelligent eyeshield, wherein, described brain wave includes but not limited to: the δ brain wave that frequency is 0.4Hz ~ 30Hz, amplitude is 20 μ V ~ 200 μ V; The θ brain wave that frequency is 4Hz ~ 7Hz, amplitude is 100 μ V ~ 150 μ V; The alpha wave that frequency is 8Hz ~ 13Hz, amplitude is 5 μ V ~ 20 μ V; The β brain wave that frequency is 14Hz ~ 30Hz, amplitude is 5 μ V ~ 20 μ V.Described brain wave sampling apparatus 401, comprising:
High pass filter unit 4011, for carrying out high-pass filtering to described brain wave;
Notch filter unit 4012, for carrying out notch filter to the brain wave through the filtering of described high pass filter unit 4011;
In embodiments of the present invention, 50Hz frequency signal is the strongest to the interference of eeg signal to be detected, therefore needs the filtering of 50Hz frequency signal by bandreject filtering.
Preferably, the embodiment of the present invention uses Notch notch filter to carry out trap process, is specially:
The transfer function of Notch notch filter is:
H ( z ) = ( z - z 1 ) ( z - z 2 ) ( z - ( 1 - μ ) z 1 ) ( z - ( 1 - μ ) z 2 )
The sample frequency of circumferential edge is 256Hz, needs the frequency of filtering to be 50Hz, and can obtain transfer function is:
H ( z ) = ( z - z 1 ) ( z - z * 1 ) ( z - p 1 ) ( z - p * 1 ) = ( z - 0.3368 - j 0.9415 ) ( z - 0.3368 + j 0.9415 ) ( z - 0.3365 - j 0.9406 ) ( z - 0.3365 + j 0.9406 ) = z 2 - 0.6736 z + 0.7136 z 2 - 0.6730 z + 0.999 = 1 - 0.6736 z - 1 + 0.7136 z - 2 1 - 0.6730 z - 1 + 0.999 z - 2 .
Low-pass filter unit 4013, for carrying out low-pass filtering to the brain wave through the filtering of described notch filter unit 4012.
In embodiments of the present invention, all interfering signals can be eliminated by last low-pass filtering treatment.
Preferably, the embodiment of the present invention uses Butterworth type low pass filter to carry out low-pass filtering treatment, concrete:
Frequency response curve in this low pass filter passband is the most smooth, does not does not rise and fall, and then drops to zero gradually at group frequency band.On the Bode diagram of the logarithm diagonal frequencies of amplitude, from frequency is seen on a certain border, amplitude the increase of angular frequency and reduces gradually, trend towards minus infinity, because power energy spectrum can be used in subsequent algorithm, do not wish that the amplitude produced in wave filter for effective frequency band produces interference, adopts this wave filter.
Required EEG signals frequency is 30Hz, and cut-off frequency is 30Hz, and filter order is second order.
Clearly following parameter is needed in Butterworth filter design process:
λ p: cut-off frequecy of passband;
α p: pass band damping, unit: dB;
λ s: stopband initial frequency;
α s: stopband attenuation, unit: dB.
The low pass filter λ designed herein p=30Hz, α p=3dB, λ s=60Hz, α s=30dB;
the exponent number that can calculate low pass filter is 5, wherein system function H (p) of normalization five rank Butterworth lowpass prototype filter
H ( p ) = 1 p 5 + 3.2361 p 4 + 5.2361 p 3 + 5.2361 p 2 + 3.2361 p + 1
Remove normalization impact
H ( s ) = H ( p ) | p = s Ω p = 60 5 π 5 s 5 + 3.236 × 60 πs 4 + 5.236 × 60 2 π 2 s 3 + 5.236 × 60 3 π 3 s 2 + 3.236 × 60 4 π 4 s + 60 5 π 5 Passable to clean brain wave signal after filtering.
After Brilliant Eyes cover on the brain wave obtained after filtering, the brain wave kind being in Energy maximum value is obtained from this brain wave, judge the state of brain according to this brain wave kind, select music to be played according to this state and external environment condition, and music to be played is sent to intelligent terminal.Described intelligent eyeshield 402, comprising:
Band separation unit 4021, for carrying out band separation to described brain wave after filtering;
Brain wave kind acquiring unit 4022, for obtaining the brain wave kind being in Energy maximum value in the brain wave after described band separation unit 4021 band separation;
Condition adjudgement unit 4023, the brain wave kind for obtaining according to described brain wave kind acquiring unit 4022 judges the state of brain.
Wherein, band separation unit 4021, comprising:
Energy value obtains subelement 40211, for the energy value of each frequency band of brain wave after filtering described in being obtained by fast fourier transform;
Band separation subelement 4212, the energy value obtained for obtaining subelement 40211 according to described energy value carries out band separation to described brain wave.
In embodiments of the present invention, after obtaining clean eeg signal by filtering, band separation is carried out to this eeg signal, be convenient to follow-up detection.Fast fourier transform can obtain the energy value of each frequency range electric wave signal, obtained the energy value of each frequency range by fast fourier transform after, band separation can be carried out according to this energy value, concrete: the window function of fast fourier transform selects Hanning window, the operation frequency point of each computing is 1024, corresponding θ (4 ~ 7Hz) is exported, the frequency spectral density of α (8 ~ 13Hz), β (14 ~ 30Hz) after quick Fourier transformation computation.
The foundation that the power spectrum drawn after fast fourier transform detects as allowance.First, the energy value calculating α frequency range (8-13Hz) accounts for the accounting (parameter 1) of whole frequency range (0.4-30Hz), and the meansigma methods of PSD is as threshold value A.This threshold value act as the peak value number found, frequency, amplitude (PSD), and calculate the second dervative of these peak values, be stored in array.And the power (parameter 2) at maximum that peak of the alpha band energy finally obtained.These two parameters are utilized to calculate relaxation state value, concrete: relaxation state=parameter 1+ parameter 2/1000000.
Music, after obtaining music to be played, is sent to intelligent eyeshield by intelligent terminal, sleeps to make intelligent eyeshield assisted user.Described intelligent eyeshield 403, also comprises:
Volume is low unit 4031 gradually, if be evening for external environment condition, when intelligent eyeshield is according to described condition adjudgement user penetration depth sleep, intelligent eyeshield turns down the volume or closedown music of playing music; Or,
Volume is high unit 4032 gradually, if be noon for external environment condition, when intelligent eyeshield is according to described condition adjudgement user penetration depth sleep, heightens volume to wake user up.
The embodiment of the present invention, the brain wave of brain wave sampling apparatus to sampling carries out filtering, intelligence eyeshield judges the state of brain according to the brain wave kind being in Energy maximum value in brain wave after filtering, music to be played is selected according to state and external environment condition, intelligent terminal assists intelligent eyeshield to play music, with the sleep of assisted user, provide a kind of method according to the sleep of brain wave assisted user, make control procedure fast, accurately.
One of ordinary skill in the art will appreciate that the unit included by above-described embodiment two is carry out dividing according to function logic, but be not limited to above-mentioned division, as long as corresponding function can be realized; In addition, the concrete title of each functional unit, also just for the ease of mutual differentiation, is not limited to protection scope of the present invention.
Those of ordinary skill in the art it is also understood that, the all or part of step realized in above-described embodiment method is that the hardware that can carry out instruction relevant by program has come, described program can be stored in a computer read/write memory medium, described storage medium, comprises ROM/RAM, disk, CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1., by a method for brain wave assisting sleep, it is characterized in that, described method comprises step:
The brain wave of brain wave sampling apparatus to sampling carries out filtering, and the brain wave through described filtering is sent to intelligent eyeshield;
Described intelligent eyeshield judges the state of brain according to the brain wave kind being in Energy maximum value in described brain wave after filtering, selects music to be played according to described state and external environment condition, and described music to be played is sent to intelligent terminal;
Music is sent to described intelligent eyeshield according to described music to be played by described intelligent terminal, to make the sleep of described intelligent eyeshield assisted user.
2. detect a method for brain wave, it is characterized in that, described intelligent eyeshield judges the state of brain according to the brain wave kind being in Energy maximum value in described brain wave after filtering, comprising:
Intelligence eyeshield carries out band separation to described brain wave after filtering;
Intelligence eyeshield obtains the brain wave kind being in Energy maximum value in the brain wave after described band separation;
Intelligence eyeshield judges the state of brain according to described brain wave kind.
3. method as claimed in claim 2, it is characterized in that, described intelligent eyeshield carries out band separation to described brain wave after filtering, comprising:
The energy value of each frequency band of brain wave after filtering described in intelligence eyeshield is obtained by fast fourier transform;
Intelligence eyeshield carries out band separation according to described energy value to described brain wave.
4. the method for claim 1, is characterized in that, the brain wave of described brain wave sampling apparatus to sampling carries out filtering, is specially:
Brain wave sampling apparatus carries out high-pass filtering to described brain wave;
Brain wave sampling apparatus carries out notch filter to the brain wave through described high-pass filtering;
Brain wave sampling apparatus carries out low-pass filtering to the brain wave through described notch filter.
5. the method for claim 1, is characterized in that, describedly selects music to be played according to described state and external environment condition, comprising:
If external environment condition is evening, when intelligent eyeshield is according to described condition adjudgement user penetration depth sleep, intelligent eyeshield turns down the volume or closedown music of playing music; Or,
If external environment condition is noon, when intelligent eyeshield is according to described condition adjudgement user penetration depth sleep, heighten volume to wake user up.
6., by a system for brain wave assisting sleep, it is characterized in that, described system comprises:
Brain wave sampling apparatus, for carrying out filtering to the brain wave of sampling, and is sent to intelligent eyeshield by the brain wave through described filtering;
Intelligence eyeshield, for judging the state of brain according to the brain wave kind being in Energy maximum value in described brain wave after filtering, selects music to be played according to described state and external environment condition, and described music to be played is sent to intelligent terminal;
Intelligent terminal, for music being sent to described intelligent eyeshield according to described music to be played, to make the sleep of described intelligent eyeshield assisted user.
7. system as claimed in claim 6, it is characterized in that, described intelligent eyeshield, comprising:
Band separation unit, for carrying out band separation to described brain wave after filtering;
Brain wave kind acquiring unit, for obtaining the brain wave kind being in Energy maximum value in the brain wave after described band separation unit band separation;
Condition adjudgement unit, the brain wave kind for obtaining according to described brain wave kind acquiring unit judges the state of brain.
8. system as claimed in claim 7, it is characterized in that, described band separation unit, comprising:
Energy value obtains subelement, for the energy value of each frequency band of brain wave after filtering described in being obtained by fast fourier transform;
Band separation subelement, the energy value obtained for obtaining subelement according to described energy value carries out band separation to described brain wave.
9. system as claimed in claim 6, it is characterized in that, described brain wave sampling apparatus, comprising:
High pass filter unit, for carrying out high-pass filtering to described brain wave;
Notch filter unit, for carrying out notch filter to the brain wave through described high pass filter unit filtering;
Low-pass filter unit, for carrying out low-pass filtering to the brain wave through described notch filter unit filtering.
10. system as claimed in claim 6, it is characterized in that, described intelligent eyeshield, also comprises:
Volume is low unit gradually, if be evening for external environment condition, when intelligent eyeshield is according to described condition adjudgement user penetration depth sleep, intelligent eyeshield turns down the volume or closedown music of playing music; Or,
Volume is high unit gradually, if be noon for external environment condition, when intelligent eyeshield is according to described condition adjudgement user penetration depth sleep, heightens volume to wake user up.
CN201510548047.6A 2015-08-31 2015-08-31 Method and system for assisting sleeping through brain waves Pending CN105126187A (en)

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CN107715274A (en) * 2017-10-31 2018-02-23 陈锐斐 A kind of method for making the music to conduce to sleep
CN108877749A (en) * 2018-04-25 2018-11-23 杭州回车电子科技有限公司 A kind of generation method and system of E.E.G AI music
CN110075409A (en) * 2019-04-17 2019-08-02 重庆大学 Individualized music assisting sleep method based on brain wave
CN111973177A (en) * 2020-07-23 2020-11-24 山东师范大学 Sleep assisting system and method based on portable electroencephalogram equipment
CN113812965A (en) * 2021-08-19 2021-12-21 杭州回车电子科技有限公司 Sleep state recognition method, device, electronic device and storage medium
CN113995939A (en) * 2021-12-31 2022-02-01 深圳市心流科技有限公司 Sleep music playing method and device based on electroencephalogram signals and terminal

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CN105824888A (en) * 2016-03-10 2016-08-03 深圳创达云睿智能科技有限公司 Music playing control method and device based on brain waves
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Application publication date: 20151209