CN109925587A - A kind of deep sleep improvement detection system and method based on biological low noise - Google Patents
A kind of deep sleep improvement detection system and method based on biological low noise Download PDFInfo
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Abstract
The invention belongs to IC design and biomedical combination technology field, disclose a kind of deep sleep improvement detection system and method based on biological low noise；Before sleep quality, detection device is worn in head；Bioelectrode in detection device samples EEG signals, after the AFE(analog front end)s enhanced processing such as biological low noise, forms EEG spectrogram；By the spectrum signature of the computer technology analysis EEG of equipment, when detecting δ wave (the long pulse electric wave that brain discharges when sound sleep), equipment plays the sound of some corresponding wave bands automatically, and diffraction goes out more δ wave bands, and then promotes deep sleep.The EEG signals that the present invention is extracted with biological low noise enhanced processing analyze sleep state and give certain improvement, extend the deep sleep time, improve physiological status.Compared with traditional EEG spectrum application, the present invention no longer observes human body brain activity simply by artificial, computer analysis spectrum, but is applied directly in the improvement of sleep, is committed to take action.
Description
Technical field
The invention belongs to IC design and biomedical combination technology field, more particularly to one kind is based on biological low noise
The deep sleep put improves detection system and method.
Background technique
Currently, the immediate prior art: currently based on wireless body area network, most technology is that observation and monitoring people show rank
Then the physical condition of section feeds back to people convenient for analyzing and proposing that solution, such as the prompt of blood glucose height take insulin；Or
Person is to find emergency case in observation, such as when by analysis to electrocardiosignal, detect the cardiopathic breaking-out of object, intelligence
Energy equipment can call ambulance etc..In terms of sleep quality, the starting point of the prior art mainly detects and evaluation people
Sleep, then achieve feed back to people, allow people to know more about the sleep of oneself, and how to be made in sleep next time
More preferably.Defect caused by this way is the only observation sleep that equipment can provide, and cannot be accomplished directly during observation
Improve the sleep of object.And this programme is to give certain improvement while detecting people's sleep state.
Secondly, most of human body signal detection and analysis equipment, is connect by sensor node with equipment, human body is detected
Physiological signal, such as electrocardio and EEG signals.The state of object at this time is then analyzed on instrument, archive feeds back to people.
And these equipment mostly test people in specific place, and the characteristics of volume is larger, wired connection makes it in household
With portable aspect by significant limitation.And this programme will test and be included in a portable helmet with analysis link,
It is solving outside household and portable limitation, is guaranteeing the comfort level of sleep to greatest extent.
With economic sustainable development, the continuous improvement of living standard, demand of the people to health and medical treatment is also gradually mentioned
It rises.Sleep plays a crucial role in maintaining health of people, and long-term lack of sleep easily causes senile dementia, angiocarpy
The diseases such as disease, apoplexy and diabetes.And the length of deep sleep time and decide the quality of sleep quality.
It detects the state of people's sleep and locating sleep stage can be analyzed, be the premise for improving sleep.And most of doctors
It treats equipment (electrocardiograph, electroence phalograph) and does not have portability due to volume, it is difficult to meet household and sleep comfort level
Requirement.So there is an urgent need to a kind of portability, intelligentized electronic monitoring and processing equipment, to complete to mention EEG signals
The scheme for taking, handling and analyzing.
In conclusion problem of the existing technology is: that there are portability is poor for the Medical Devices of existing detection people sleep,
It is difficult to meet the requirement of household and comfort level of sleeping.If being difficult to meet the requirement of household and comfort level of sleeping, further meeting
So that the application and popularization of wireless body area network are by great limitation；And the work shape of meeting direct interference intelligent analysis module
State reduces the functioning efficiency of entire scheme.
Solve the difficulty of above-mentioned technical problem: to solve the above problems, difficulty is mainly in detection, processing, analysis link
Integration of equipments integration and equipment wirelessly drive audio peripheral hardware.
Solve the meaning of above-mentioned technical problem: portability and the limitation of household always hinder people sufficiently to use wirelessly
The obstacle of body area network can directly solve biological detection if can solve detection, processing, the equipment integration for analyzing link
The place of equipment makes people more fully have benefited from science and technology, and can widen answering for wireless body area network using limitation
With field, service efficiency is improved.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of, and the deep sleep based on biological low noise improves inspection
Examining system and method.
The invention is realized in this way a kind of deep sleep based on biological low noise improves detection method, it is described to be based on
The deep sleep of biological low noise improves detection method
The first step wears detection device in head before sleep quality；
Second step, the bioelectrode in detection device samples EEG signals, through biological low noise AFE(analog front end) enhanced processing
Afterwards, EEG spectrogram is formed；
Faint low frequency electricity physiological signal is collected by the electrode contacted with head, prime low-noise amplifier is to signal
Repeatedly amplification, rear class carry out the power amplification of output signal again, drive the mechanical movement of recording pen.Namely to EEG signals by
Digitized sampling is clicked through, the analog-digital converter in front-end module is then passed through, forms simulated electroencephalogram figure (EEG
Figure).
Third step plays phase when detecting δ wave by the spectrum signature of the computer technology analysis EEG of equipment automatically
The sound of wave band is answered, diffraction goes out δ wave band.
General picture observation is done using wavelet analysis, and then obtains the spectrum signature of EEG.The detection of specific band is essentially consisted in
Frequency, wave amplitude, phase and phase relation etc. are compared, by the These characteristics of the δ waveform of normal human's brain with the side of digital signal
Formula is prestored into intelligent terminal module, when the general picture that wavelet analysis detects is opposite with wave band is prestored coincide, triggers one
Level.Infrared module work in excitation set, that is, apply PPM coding mode, be first modulated in specific carrier frequency,
Then launch again through infrared light-emitting diode, the receiving module of the audio peripheral hardware of human body head can filter out other clutters and only connect
It receives the signal of the specific frequency and is reduced into binary pulse code, player plays sound is driven after demodulation.
Further, biologic medical node is placed in inside according to sampling request dispersion by the detection device of the first step, is worn
It is close to human body head when wearing；The analog front-end module handled sampled signal is embedded in head and carries equipment.
Further, the biological low noise AFE(analog front end) enhanced processing of the second step uses wave chopping technology and capacitive coupling phase
In conjunction with；Again plus electric current multiplexing technology.
Further, the third step is placed in advance in the form of a signal using the human body δ wave band of standard as referring to template.
Further, the third step works as the δ wave band that intelligent terminal module recognizes the generation of human body computer, terminal module driving
External audio module plays the sound clip pre-deposited, derives δ wave band in the deep water phase.
Another object of the present invention is to provide the deep sleeps described in a kind of realize based on biological low noise to improve detection
The deep sleep based on biological low noise of method improves detection system, and the deep sleep based on biological low noise improves inspection
Examining system includes:
Head carries signal collecting device, connect with analog front-end module, for realizing tissue ion signal to electronics
The transformation of electric signal；
Analog front-end module, for realizing human physiological signal treatment；
Intelligent terminal module is handled by the EEG signals that analog front-end module extracts bioelectrode, in intelligence
Terminal obtains EEG spectrogram by processing, and spectrum analysis is carried out in terminal module, identifies target wave band δ wave；
Audio-frequency module when intelligent terminal module identifies target wave band, plays the repetition audio being prestored into, reaches preset
It is automatically closed after time.
Another object of the present invention is to provide the deep sleeps described in a kind of application based on biological low noise to improve detection
The electrocardiograph of method.
Another object of the present invention is to provide the deep sleeps described in a kind of application based on biological low noise to improve detection
The electroence phalograph of method.
In conclusion advantages of the present invention and good effect are as follows: compared with traditional EEG spectrum application, the present invention is no longer only
It is human body brain activity to be observed by artificial, computer analysis spectrum, but be applied directly in the improvement of sleep, pays
Zhu Yu action.
The comparison of the prior art and this programme: as shown in table 1:
1. prior art of table and comparison of the invention
The present invention realizes people and can stay at home, and detects in daily sleep and extends the deep sleep time.Depth
Sleep accounts for a quarter that human body is always slept, and measures the quality of sleep quality, directly affects the physical condition and shape of people
State.So far, extend deep sleep mainly pass through keep the rule of work and rest, sleep before the methods of loosen, improve sleep environment.This
A little methods are easy in the process of implementation by certain external or inherent interference, it is difficult to the basic extension deep sleep time.
EEG map can observe the brain activity of people, can also judge instant physical condition certainly.Pass through the δ wave band in EEG figure
It can reflect out test object and remain deep sleep in special time period, and technology also all rests on monitoring mostly at present
Sleep.A medical research has been done by Germany, promotes by Harvard Medical School: if people plays corresponding wave when deep sleep
The sound of section can extend deep sleep, achieve unexpected effect.And the instrument for monitoring brain activity needs is difficult to completely
Sufficient household and portable requirement.Present invention proposition is completed by wireless body area network, the low-noise low-power consumption amplification of AFE(analog front end)
Device ensure that the filtering of circuit inner noise, post-amplifier are able to achieve power amplification, analog-digital converter can help through EEG figure
The formation of spectrum；Intelligent terminal module is passed through to the analyses and comparison of map, transmission infrared signal, such integration apparatus is complete
It has solved commonly used equipment limitation, and has guaranteed the quality of sleep.By the role exchange of people and equipment, people can no longer be done
That states sleeps preceding preparation, is affected in sleep procedure.This is to want to solve the problems, such as always without solution, has filled up current state
The interior tactful blank for extension deep sleep realizability makes it possible that improvement is facilitated to sleep in daily life.
The present invention is compared to conventional detection devices, more convenient, intelligence, household.Before the simulation handled signal
End module reduces power consumption on the basis of low-noise amplifier again, reduces the power consumption of entire analog module, reduces power supply unit
The volume of occupancy.
Detailed description of the invention
Fig. 1 is that the deep sleep provided in an embodiment of the present invention based on biological low noise improves detection system structural representation
Figure；
In figure: 1, head carries signal collecting device；2, analog front-end module；3, intelligent terminal module；4, intelligent terminal drives
Audio-frequency module.
Fig. 2 is that the deep sleep provided in an embodiment of the present invention based on biological low noise improves detection method flow chart.
Fig. 3 is that the head provided in an embodiment of the present invention for carrying biologic medical acquisition node carries equipment schematic diagram.
Fig. 4 is the merging schematic diagram of analog front-end module provided in an embodiment of the present invention Yu intelligent terminal module.
Fig. 5 is that δ wave band matches schematic diagram in intelligent terminal module provided in an embodiment of the present invention.
Fig. 6 is intelligent terminal module drive audio-frequency module schematic diagram provided in an embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
The present invention is intended to provide the deep sleep ameliorative way based on biological low noise, is not influencing normally rest and family
Under the premise of use, extend the deep sleep time of people, promotes sleep quality.
Application principle of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the deep sleep improvement detection system provided in an embodiment of the present invention based on biological low noise includes:
Head carries signal collecting device 1, analog front-end module 2, intelligent terminal module 3, intelligent terminal and drives audio-frequency module 4.
Head carries signal collecting device 1, and small-sized wear-type wireless collection is taken to transmit, in the premise for guaranteeing sleep comfort level
Under, realize the ion signal of tissue to the transformation of electronic telecommunication number by head attached type sensor.With AFE(analog front end) mould
The docking of block 2.
Analog front-end module 2 introduces Low-noise amplifier with low dissipation, human biological signal and other common signal phases
Than frequency and amplitude are all relatively low, while being easy to be influenced by various internal system noises and external interference.Required for the present invention
The frequency range of human body electroencephalogram's signal be about 0.5Hz to 50Hz, amplitude is 1 μ V to 100 μ V.Thus with electrocardiosignal and
EEG signals are that the low frequency noises that the human body signal of representative is subject to are larger.Therefore a kind of high performance Human Physiology that is suitable for is believed
Number processing Low-noise amplifier with low dissipation become complete analog front-end module 2 premise.
Intelligent terminal module 3 is handled by the EEG signals that analog front-end module 2 extracts bioelectrode, in intelligence
Energy terminal obtains EEG spectrogram by processing, and then carries out spectrum analysis in terminal module again, identifies target wave band ---
δ wave.In the module, analysis EEG spectrogram is usually manually performed, and mostly uses computer greatly at present to complete, main method has
Automatic frequency analysis, power spectrumanalysis, quantitative analysis.Spectrum analysis is carried out, implantation compares wave band template, side in advance in module
Just in respective frequencies region recognition δ wave band (0.5 to 3Hz).
Audio-frequency module 4 when intelligent terminal module 3 identifies target wave band, shows that people have progressed into deep sleep.
Final drive audio-frequency module plays (appropriate volume) repetition audio for being prestored into, is automatically closed after reaching preset time.
As shown in Fig. 2, the deep sleep improvement detection method provided in an embodiment of the present invention based on biological low noise includes
Following steps:
S201: before sleep quality, detection device is worn in head；
S202: the bioelectrode in detection device samples EEG signals, through the AFE(analog front end)s enhanced processing such as biological low noise
Afterwards, EEG spectrogram is formed；
S203: by equipment computer technology analysis EEG spectrum signature, when detect δ wave (when sound sleep brain discharge
Long pulse electric wave) when, equipment plays the sound of some corresponding wave bands automatically, and diffraction goes out more δ wave bands, depth is promoted to sleep
It sleeps.
Application principle of the invention is further described with reference to the accompanying drawing.
As shown in figures 3 to 6, the deep sleep provided in an embodiment of the present invention based on biological low noise improves detection method
The following steps are included:
Step 1, configuration head carry signal collecting device；
Effective acquisition of human brain signal is the premise that entire scheme is normally implemented, and the acquisition of traditional EEG signals is most
Medical node is attached to the head of human body, then draws signal wire in node and is connected to processing equipment, and then to come out and observe
Brain activity state.Wireline equipment is many and diverse and use occasion is limited, obtains signal under the premise of not influencing people's sleep
Acquisition process is very difficult.
Wear-type signal collecting device, as shown in figure 3, biologic medical node is placed in inside according to sampling request dispersion,
It can be close to human body head when wearing, guarantee the transformation for realizing human muscle, the neural ion electric signal generated to electronic telecommunication number
And it extracts.Head is embedded in as the analog front-end module for handling sampled signal to carry in equipment, is eliminated from node lead
The inconvenience of external equipment is linked, the comfort level of sleep is greatly improved, provides guarantee for subsequent discrimination human brain electric wave wave band.
Step 2 introduces Low-noise amplifier with low dissipation；
Since the amplitude of human biological signal is very small, it is easy to by external environment and circuit inner noise
Interference (analog front circuit samples CMOS technology, and there are circuit inner noises), the signal for acquiring out can generate after processing
Certain error.Wireless body area network technology has an apparent feature, be exactly can the unlimited time it is continual to human body
Bioelectrical signals are detected, this just has certain requirement to the power consumption of entire scheme.No matter scheme uses Self Powered Device
Or which kind of power supply mode of battery, the as far as possible power consumption of step-down amplifier, which are undoubtedly, is conducive to scheme implementation.
Combined using the wave chopping technology of industry prevalence with capacitive coupling, can be effectively isolated bioelectrode DC maladjustment,
In low-frequency range the anti-influence of electrode high resistance always, eliminate the flashing of low-frequency range (primary biological electric signal frequency range) in cmos circuit
Noise is finally subject to current multiplexing technology again, reduces thermal noise.Guarantee the correct of the subsequent digitized processing to amplified signal
Property.
Step 3 disposes intelligent terminal module；
In the signal that analog front-end module is treated, EEG frequency spectrum is characterized as by burned program in this module
Figure.Before realizing automatic analysis of frequency spectrum, need to be placed in advance in the form of a signal using the human body δ wave band of standard as referring to template
In this module, to guarantee the validity of analysis, as shown in Figure 5.Analog front-end module and this module are collectively incorporated into the end again
Carry in equipment, guarantee the saving in space with can household, as shown in Figure 4.
Step 4, intelligent terminal drive audio-frequency module；
When intelligent terminal module recognize human body computer generation δ wave band, show that human body comes into the sound sleep phase.At this moment,
The characteristics of wireless body area network is bigger to be showed, and terminal module drives (wireless) external audio module, broadcasting (preset time,
Default volume) sound clip (repeated fragment has with δ wave identical Burst frequency) that pre-deposits of people, and then in deep water
Phase derives more δ wave bands, achievees the purpose that promote deep sleep, as shown in Figure 6.
Deep sleep provided in an embodiment of the present invention based on biological low noise improves the technical principle of detection system；
1. wireless body area network (WBAN)
Wireless body area network (Wireless BodyArea Networks, WBAN), is the radio network technique based on radio frequency,
It can will be in small node and human body or the sensor of surrounding is connected with each other.Main composition: medical biosensors node, simulation
The modules such as front-end module and intelligent terminal.
Medical biosensors node: their effect is the physiological signal for obtaining a variety of human bodies, such as pulse, the heart
Jump and brain activity, blood pressure, blood glucose etc., and electric signal is converted by these physiology signals.The present invention uses adhesion
Sensor acquire brain activity, to guarantee the comfort level of sleeping.
Analog front-end module: AFE(analog front end) completes the function of the amplifications of body electrical signals, digitized processing and transmitting,
Which includes low-noise amplifiers (Low Noise Amplifier, LNA), analog-digital converter (Analog to Digital
Converter, ADC), digital signal processor (Digital Signal Processor, DSP), radio frequency transceiver (Radio
Frequencytransceiver, RF-transceiver) etc. circuit modules.
Intelligent terminal module: by the analysis and processing to these human body signals, the physiological status of available human body, and
And further reaction is made according to obtained result.It is that the present invention mainly obtains the result is that EEG spectrogram.
2.EEG spectrum analysis corresponds to sound stimulation
As shown in figure 5, (indicating that people has entered deep sleep) when intelligent terminal analyzes δ wave band, so that audio-frequency module
The sound clip that has stored is discharged, the sound of the release equally has identical Burst frequency with δ wave, can allow the brain of human body
Diffraction goes out more δ wave bands, achievees the purpose that extend deep sleep.
By engineers countless experiment and effort, the publication of wireless body area network standard IEEE 802.15.6 is affirmed
Wireless body area network acts on the science on medical-therapeutic treatment of human body.Firstly, German medical laboratory finds to enter depth in human body for the first time
The audio that δ wave band is played after sleep can extend deep sleep, but be not based on the scheme of wireless body area network application.Secondly,
At present wireless body area network to sleep it is relevant application only stop at observation and archive, be not extended to initiatively go by equipment come
Influence sleep.It is rested in the biggish analytical equipment of volume finally, for the concept of extraction, processing, detection EEG signals, at present
There is no scheme to mention to be dissolved into wireless body area network, solves the problems, such as household and portable.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (8)
1. a kind of deep sleep based on biological low noise improves detection method, which is characterized in that described based on biological low noise
Deep sleep improve detection method include:
The first step wears detection device in head before sleep quality；
Second step, the bioelectrode in detection device sample EEG signals, after biological low noise AFE(analog front end) enhanced processing, shape
At EEG spectrogram；
Faint low frequency electricity physiological signal is collected by the electrode contacted with head, prime low-noise amplifier is to the multiple of signal
Amplification, rear class carry out the power amplification of output signal again, drive the mechanical movement of recording pen.Namely to EEG signals point by point into
Digitized sampling, by the analog-digital converter in front-end module, forms simulated electroencephalogram figure；
Third step plays corresponding wave when detecting δ wave by the spectrum signature of the computer technology analysis EEG of equipment automatically
The sound of section, diffraction go out δ wave band；
General picture observation is done using wavelet analysis, obtains the spectrum signature of EEG；Comparison frequency is essentially consisted in the detection of specific band
The These characteristics of the δ waveform of normal human's brain are prestored by rate, wave amplitude, phase and phase relation in a manner of digital signal
In intelligent terminal module, when the general picture that wavelet analysis detects is opposite with wave band is prestored coincide, a level is triggered；Excitation
Infrared module work in equipment, will first be modulated in specific carrier frequency, then launch again through infrared light-emitting diode
It goes, the receiving module of the audio peripheral hardware of human body head can filter out other clutters and only receive the signal of the specific frequency and be restored
At binary pulse code, player plays sound is driven after demodulation.
2. deep sleep based on biological low noise improves detection method as described in claim 1, which is characterized in that described the
Biologic medical node is placed in inside according to sampling request dispersion by the detection device of one step, and when wearing is close to human body head；To adopting
The analog front-end module that sample signal is handled is embedded in head and carries equipment.
3. deep sleep based on biological low noise improves detection method as described in claim 1, which is characterized in that described the
The biological low noise AFE(analog front end) enhanced processing of two steps is combined using wave chopping technology with capacitive coupling；Again plus current multiplexing skill
Art.
4. deep sleep based on biological low noise improves detection method as described in claim 1, which is characterized in that described the
Three steps are placed in advance in the form of a signal using the human body δ wave band of standard as referring to template.
5. deep sleep based on biological low noise improves detection method as described in claim 1, which is characterized in that described the
Three steps recognize the δ wave band of human body computer generation when intelligent terminal module, and terminal module drives external audio module, play preparatory
The sound clip of deposit derives δ wave band in the deep water phase.
6. it is a kind of realize the deep sleep described in claim 1 based on biological low noise improve detection method based on biological low noise
The deep sleep put improves detection system, which is characterized in that the deep sleep based on biological low noise improves detection system
Include:
Head carries signal collecting device, connect with analog front-end module, for realizing tissue ion signal to electronic telecommunication
Number transformation；
Analog front-end module, for realizing human physiological signal treatment；
Intelligent terminal module is handled by the EEG signals that analog front-end module extracts bioelectrode, in intelligent terminal
EEG spectrogram is obtained by processing, spectrum analysis is carried out in terminal module, identifies target wave band δ wave；
Audio-frequency module when intelligent terminal module identifies target wave band, plays the repetition audio being prestored into, reaches the preset time
After be automatically closed.
7. a kind of deep sleep using described in Claims 1 to 5 any one based on biological low noise improves detection method
Electrocardiograph.
8. a kind of deep sleep using described in Claims 1 to 5 any one based on biological low noise improves detection method
Electroence phalograph.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113546326A (en) * | 2020-04-23 | 2021-10-26 | 马培利 | Biological wave energy chip module |
| CN114099894A (en) * | 2020-08-26 | 2022-03-01 | 西安慧脑智能科技有限公司 | Brain wave audio sleep aiding method, device, equipment and storage medium |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101099670A (en) * | 2007-06-15 | 2008-01-09 | 西安电子科技大学 | Nerve feedback treating device for insomnia |
| CN101569527A (en) * | 2009-05-26 | 2009-11-04 | 西安交通大学苏州研究院 | Robot equipment system for treating sleep apnea syndrome and implementation method thereof |
| CN201727828U (en) * | 2009-07-06 | 2011-02-02 | 李隆 | Musical sleep sound device |
| CN102343123A (en) * | 2010-07-29 | 2012-02-08 | 鼎迈医疗科技(苏州)有限公司 | Feedback type nervous electrical stimulation system and feedback control method thereof |
| CN102526875A (en) * | 2012-01-09 | 2012-07-04 | 中山大学附属第一医院 | Digital insomnia therapy instrument and therapy method |
| CN203524646U (en) * | 2013-09-29 | 2014-04-09 | 重庆康如来科技有限公司 | Wearable domestic sleep monitor |
| CN104644165A (en) * | 2015-02-11 | 2015-05-27 | 电子科技大学 | Wearable electroencephalogram acquisition device |
| CN105476631A (en) * | 2015-11-25 | 2016-04-13 | 华南理工大学 | EEG (electroencephalogram) based sleep detection and sleep aid method and device |
| CN105592881A (en) * | 2013-10-03 | 2016-05-18 | 皇家飞利浦有限公司 | System and method for determining timing of sensory stimulation during sleep |
| CN105828863A (en) * | 2013-12-18 | 2016-08-03 | 皇家飞利浦有限公司 | System and method for enhancing sleep slow wave activity based on cardiac characteristics or respiratory characteristics |
| CN106175690A (en) * | 2016-08-24 | 2016-12-07 | 中国科学院深圳先进技术研究院 | S sleep strengthens system and S sleep monitoring method |
| CN106343954A (en) * | 2016-08-25 | 2017-01-25 | 深圳市格兰莫尔寝室用品有限公司 | Device and system for monitoring and improving sleep |
| CN106972834A (en) * | 2017-02-24 | 2017-07-21 | 浙江大学 | A kind of ripple cancellation loop for Capacitance Coupled chopper amplifier |
| CN107788976A (en) * | 2017-09-22 | 2018-03-13 | 复旦大学 | Sleep monitor system based on Amplitude integrated electroencephalogram |
| CN109464130A (en) * | 2019-01-09 | 2019-03-15 | 浙江强脑科技有限公司 | Sleep householder method, system and readable storage medium storing program for executing |
-
2019
- 2019-03-18 CN CN201910204958.5A patent/CN109925587A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101099670A (en) * | 2007-06-15 | 2008-01-09 | 西安电子科技大学 | Nerve feedback treating device for insomnia |
| CN101569527A (en) * | 2009-05-26 | 2009-11-04 | 西安交通大学苏州研究院 | Robot equipment system for treating sleep apnea syndrome and implementation method thereof |
| CN201727828U (en) * | 2009-07-06 | 2011-02-02 | 李隆 | Musical sleep sound device |
| CN102343123A (en) * | 2010-07-29 | 2012-02-08 | 鼎迈医疗科技(苏州)有限公司 | Feedback type nervous electrical stimulation system and feedback control method thereof |
| CN102526875A (en) * | 2012-01-09 | 2012-07-04 | 中山大学附属第一医院 | Digital insomnia therapy instrument and therapy method |
| CN203524646U (en) * | 2013-09-29 | 2014-04-09 | 重庆康如来科技有限公司 | Wearable domestic sleep monitor |
| CN105592881A (en) * | 2013-10-03 | 2016-05-18 | 皇家飞利浦有限公司 | System and method for determining timing of sensory stimulation during sleep |
| CN105828863A (en) * | 2013-12-18 | 2016-08-03 | 皇家飞利浦有限公司 | System and method for enhancing sleep slow wave activity based on cardiac characteristics or respiratory characteristics |
| CN104644165A (en) * | 2015-02-11 | 2015-05-27 | 电子科技大学 | Wearable electroencephalogram acquisition device |
| CN105476631A (en) * | 2015-11-25 | 2016-04-13 | 华南理工大学 | EEG (electroencephalogram) based sleep detection and sleep aid method and device |
| CN106175690A (en) * | 2016-08-24 | 2016-12-07 | 中国科学院深圳先进技术研究院 | S sleep strengthens system and S sleep monitoring method |
| CN106343954A (en) * | 2016-08-25 | 2017-01-25 | 深圳市格兰莫尔寝室用品有限公司 | Device and system for monitoring and improving sleep |
| CN106972834A (en) * | 2017-02-24 | 2017-07-21 | 浙江大学 | A kind of ripple cancellation loop for Capacitance Coupled chopper amplifier |
| CN107788976A (en) * | 2017-09-22 | 2018-03-13 | 复旦大学 | Sleep monitor system based on Amplitude integrated electroencephalogram |
| CN109464130A (en) * | 2019-01-09 | 2019-03-15 | 浙江强脑科技有限公司 | Sleep householder method, system and readable storage medium storing program for executing |
Non-Patent Citations (2)
| Title |
|---|
| 许绍芬: "《神经生物学》", 31 July 1999, 上海医科大学出版社 * |
| 鲁业频: "《高频电子线路》", 31 May 2015, 安徽大学出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113546326A (en) * | 2020-04-23 | 2021-10-26 | 马培利 | Biological wave energy chip module |
| CN114099894A (en) * | 2020-08-26 | 2022-03-01 | 西安慧脑智能科技有限公司 | Brain wave audio sleep aiding method, device, equipment and storage medium |
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