CN101559252A - Intelligent insomnia therapeutic instrument - Google Patents

Intelligent insomnia therapeutic instrument Download PDF

Info

Publication number
CN101559252A
CN101559252A CNA2009100989677A CN200910098967A CN101559252A CN 101559252 A CN101559252 A CN 101559252A CN A2009100989677 A CNA2009100989677 A CN A2009100989677A CN 200910098967 A CN200910098967 A CN 200910098967A CN 101559252 A CN101559252 A CN 101559252A
Authority
CN
China
Prior art keywords
circuit
brain wave
magnetic field
patient
frequency
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CNA2009100989677A
Other languages
Chinese (zh)
Other versions
CN101559252B (en
Inventor
顾磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangxi Shimeile Biotechnology Development Co., Ltd.
Original Assignee
顾磊
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 顾磊 filed Critical 顾磊
Priority to CN2009100989677A priority Critical patent/CN101559252B/en
Publication of CN101559252A publication Critical patent/CN101559252A/en
Application granted granted Critical
Publication of CN101559252B publication Critical patent/CN101559252B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Magnetic Treatment Devices (AREA)

Abstract

The invention relates to an intelligent insomnia therapeutic instrument, aiming at providing a therapeutic instrument which can induce and regulate potential action of the sleep center of a patient so as to accelerate the falling asleep speed of the patient and improve the sleep quality or realize a natural timing awaking function. The technical proposal is as follows: the instrument comprises a signal output module generating time varying magnetic fields, a bipolar electrode brain wave acquiring module acquiring real-time brain waves of the patient and a main controller obtaining the brain waves and carrying out down-conversion or up-conversion, wherein the signal output module converts digital brain signals output by the main controller into analogue signals which are amplified so as to drive a magnetic field generator to generate time varying magnetic fields used for treating.

Description

Intelligent insomnia therapeutic instrument
Technical field
The present invention relates to a kind of armarium, especially the instrument of Cure for insomnia.
Background technology
According to World Health Organization's investigation, 27% people has sleeping problems.The up-to-date sleep survey result that CSRS is announced, Chinese adult insomnia incidence rate is 38.2%, is higher than the insomnia incidence rate of some developed countries.And according to Chinese 6 cities (Beijing, Shanghai, Guangzhou, Nanjing, Tianjin, Hangzhou) investigation report in 2006, normal adult human was ated fault the ratio of sleeping up to 57% in 1 year, and wherein 53% symptom was above 1 year.
Insomnia: be often referred to the patient to the length of one's sleep and or quality do not satisfy and influence a kind of subjective experience of social function on daytime.Classify by clinical manifestation: 1. sleep is slipped into the phase: time for falling asleep was above 30 minutes; 2. sleep is kept: the number of times of awakening night surpass 2 times or morning early awakening; 3. sleep quality: many nightmares; 4. be less than 6 hours total length of one's sleep; 5. residual effect in the daytime: feel dizzy inferior morning, lassitude, drowsiness, weak etc.Classify by the course of disease: one crosses property or acute insomnia, and the course of disease is less than 4 weeks; Short-term or subacute insomnia, the course of disease greater than 4 weeks less than 3~6 months; Long-term or chronic insomnia, the course of disease was greater than 6 months.Classify by the order of severity: slight.Accidental, little to the quality of life influence; Moderate takes place every night, moderate influence quality of life, accompanies certain symptom (irritability, anxiety, tired etc.); Severe takes place every night, has a strong impact on quality of life, and clinical symptoms is had outstanding performance.
Medical research shows that insomnia can cause second day tired and exercise not harmony once in a while, and that long-term insomnia then can bring is absent minded, obstacle appears in memory and work consequence such as unable to do what one wishes.In addition, insomnia is in close relations with physical disease, and not having enough sleep to make people's immunity degradation, and ability disease-resistant and the rehabilitation disease reduces, and is easy to catch cold, and increases the weight of other diseases or bring out the outbreak of original disease, as diseases such as cardiovascular, cerebrovascular, hypertension.Practice is proof also, and postoperative patient is bad as sleeping, and the time of wound healing can obviously prolong.The child does not have enough sleep as suffering from seriously, can influence its body development.In addition, there is not healthy sleep also can produce many social problems.
Correlational study shows that normal sleep generally all comprises sleeps to the process of sound sleep from shallow from regaining consciousness to fall asleep.In this process, brain wave presents clear regularity.Thisly regular sum up, be exactly: under the clear-headed excitatory state, brain wave is based on by a narrow margin β ripple, and frequency is at 14-30Hz; When clear-headed quiet, brain wave is based on the α ripple, frequency 8-13Hz, and amplitude is high slightly; When just sleeping, enter the sleep I phase, the α ripple fades away in the brain wave, the θ ripple occurs and gradually becomes the ripple based on θ, and its frequency range is 4-7Hz; Deepen gradually when sleep, enter the sleep II phase, electroencephalogram sleep spindle occurs repeatedly under based on the background of θ ripple, and its persistent period is 0.5 second, is spaced apart 2-5 second, and carrier frequency is 12-14Hz.Along with the further intensification of sleep, enter sleep III phase and IV phase, the brain wave frequency is obviously slack-off, and wave amplitude increases, and the δ Bob example of 0.5-3Hz increases.I, II phase sleep and belong to shallow degree sleep, III, and the IV phase belongs to the deep sleep.In the whole sleep procedure, III, the IV phase sleeps the most important, and its proportion is big more, and the time is long more, and sleep quality is just good more, and brain can fully be had a rest during the deep sleep, and the effect that sets up is best.
When sleep disorder occurring, a certain stage of sleep procedure even the brain electrical acti of whole sleep procedure will occur unusually.First kind of performance of sleep disorder is have difficulty in going to sleep (being the insomnia), and the time in patient's this stage from regaining consciousness to fall asleep is very long, this moment the brain wave frequency trend of step-down is slow and not obvious gradually, and follow and unsettled frequency hopping occurs.It is not good that second kind of sleep disorder shows as sleep quality, the dreaminess of easily waking up, and patient's sensation non-sleeping of seemingly sleeping, not quite awake, feel dizzy absentminded.The EEG signals of this moment is many in θ ripple frequency range, based on shallow degree sleep I, II phase, and deep sleep III, shared ratio of W phase is very little.
The short dormancy instrument in magnetic field on the market is many with frequency certain waveform near brain wave now, or be kept at the time-varying magnetic field that brain wave in the memorizer produces respective waveforms in advance, be of the brain wave generation set influence of the given magnetic field energy of supposition, can realize short the dormancy by ideal short dormancy step to the patient.The diversity of having ignored different patients has like this also been ignored the response difference of patient's different time to magnetic field simultaneously, often can not reach ideal therapeutic effect.
Summary of the invention
The objective of the invention is in order to solve the defective that above-mentioned prior art exists, a kind of intelligent insomnia therapeutic instrument has been proposed, the electrical potential activity that this therapeutic instrument should be able to be induced, be regulated patient's sleep center, thus the sleeping speed of patient, the function that improves sleep quality or realize regularly waking up naturally accelerated.
The technical scheme that the present invention proposes is:
Intelligent insomnia therapeutic instrument comprises the signal output module that produces time-varying magnetic field, it is characterized in that; This device also comprises bipolar electrode brain wave acquisition module of gathering the real-time brain wave of patient and the master controller that the brain wave of gathering acquisition is carried out frequency reducing or raising frequency processing, described signal output module is an analogue signal with the digital brain electrical conversion of signals of master controller output, produces described time-varying magnetic field through amplifying the rear drive magnetic field generator again.
In the described bipolar electrode brain wave acquisition module, the real-time brain wave of patient inputs to pre-amplification circuit by the electrode that is affixed on its forehead both sides, and successively through behind photoelectric isolating circuit, high-pass filtering circuit, low-pass filter circuit, 50Hz power frequency trap circuit, main amplification and the level lifting circuit, be converted into digital signal in the input analog-to-digital converter, extract the basic frequency and the waveform of brain wave then by digital signal processor, and be sent in the master controller by serial ports.
Described master controller is sent into memory stores to the EEG signals of receiving; And EEG signals is carried out frequency reducing or raising frequency handle, the time-varying magnetic field that is used for the treatment of by signal output module output then.
Described master controller also disposes the man machine interface that comprises button operation and liquid crystal display.
Described signal output module comprises digital to analog converter, amplifying circuit, output driving circuit and the magnetic field generator of signal of telecommunication connection successively.
Operation principle of the present invention is: the patient comes interim the length of one's sleep in the evening in the section length of one's sleep of routine (as), earlier two electrodes are fitted in patient's forehead both sides (in full accord when electrode laminating type and Electrocardioscopy) respectively, then starts therapeutic instrument and gets final product.During therapeutic instrument work, the bipolar electrode eeg collection system is gathered patient's real-time brain wave, extracts the basic frequency and the waveform thereof of current brain wave, (makes down conversion process during sleep by master controller through handling; Or raising frequency) outputs to signal output module after; The digital brain electrical conversion of signals that signal output module was handled master controller is an analogue signal, amplifies the changes of magnetic field that the rear drive magnetic field generator produces response, produces corresponding time-varying magnetic field; Because magnetic field generator is installed in patient's the medicated pillow, so this magnetic field closes (in non-contacting mode) brain sleep center to the sleep disorder patient with regard to Rhizoma Nelumbinis, make the patient very F.F. go into the sleep state.And after having a rest through sleep after a while, master controller carries out producing corresponding time-varying magnetic field by signal output module again after raising frequency is handled according to setting the real-time brain wave that will gather, just can in time wake the patient up.
Compared with prior art, the present invention has following effect: because the present invention has added bipolar electrode brain wave acquisition module, gather patient's brain wave patterns in real time, and this waveform is a conduct treatment waveform after the based process, the driving magnetic field generator produces time-varying magnetic field output then.Thereby can take into full account different patients' difference and different time to the difference of magnetic responsiveness, and can " suit the remedy to the case ", reach optimum therapeuticing effect.The present invention is all effective in cure to various insomniacs, as difficulty falling asleep, dreaminess, easy awake, the not high insomniac of sleep quality.Clinical trial shows: the treatment of (7-15 days) through after a while, the present invention reaches more than 96% the total effective rate that improves sleep disorder patient sleep quality.
Description of drawings
Fig. 1 is a system block diagram of the present invention.
Fig. 2 is the bipolar electrode brain wave acquisition module frame chart among the present invention.
Fig. 3 is the pre-amplification circuit circuit diagram of the bipolar electrode brain wave acquisition module among the present invention.
Fig. 4 is the photoelectric isolating circuit circuit diagram of the bipolar electrode brain wave acquisition module among the present invention.
Fig. 5 is the high pass and the low-pass filter circuit circuit diagram of the bipolar electrode brain wave acquisition module among the present invention.
Fig. 6 is the 50Hz trap circuit circuit diagram of the bipolar electrode brain wave acquisition module among the present invention.
Fig. 7 amplifies and level lifting circuit figure for the main of the bipolar electrode brain wave acquisition module among the present invention.
Fig. 8 is the signal output module block diagram among the present invention.
Fig. 9 is the flow chart of inducing the brain wave frequency to descend among the present invention.
Figure 10 is the flow chart of inducing the brain wave frequency to raise among the present invention.
The specific embodiment
Studies confirm that, when extraneous time-varying magnetic field is coupled to people's brain sleep center, can in brain, produce and the synchronous induced current of external magnetic field, thus the electrical potential activity that can induce, regulate the human brain sleep center.The inventor takes a hint thus: if certain device can collect patient's brain wave, handled, basic frequency is progressively slowed down or accelerate, be converted into corresponding time-varying magnetic field then, and this magnetic field is coupled to sleep disorder patient's brain sleep center, just be expected to regulate, induce patient's sleep procedure, realize the short function of sleeping or waking up.
For this reason, the inventor has proposed a kind of intelligent insomnia therapeutic instrument, its work thinking is: the real-time brain wave of gathering the patient, change into time-varying magnetic field after the processing, and with the brain sleep center of its coupling (in the noncontact mode) to the sleep disorder patient, realize that guiding is fallen asleep and the function of realization timing wake-up, thereby reach Cure for insomnia and the purpose of improving sleep quality.
Be described in further detail below in conjunction with embodiment shown in the drawings.
Fig. 1 is the system block diagram of intelligent insomnia therapeutic instrument.As shown in the figure, this system comprises bipolar electrode brain wave acquisition module, master controller, memorizer, LCD (liquid crystal) display screen, button and signal output module.Wherein bipolar electrode brain wave acquisition module is used to gather user's EEG signals, its EEG signals is by the electrode for encephalograms that is affixed on patient's forehead both sides (two electrode for encephalograms are conventional ECG electrode of using) input, amplify back 16 ADC of input through filtering and transform position digital signal, and by the digital signal processor analyzing and processing, extract the basic frequency and the waveform thereof of current brain wave, send master controller then to; Master controller stores the EEG signals that receives in the memorizer into, and frequency reducing and the processing of raising frequency when waking up during by short the dormancy, outputs to signal output module; Master controller also has the control of handling button input and liquid crystal display man machine interface; It is analogue signal that signal output module is brought the digital brain electrical conversion of signals of handling with master controller, amplify rear drive magnetic field generator (magnetic field generator is installed in the medicated pillow of patient's use) and produce corresponding changes of magnetic field (time-varying magnetic field), thereby realize that guiding is fallen asleep and the purpose of timing wake-up.
Fig. 2 is a bipolar electrode brain wave acquisition module frame chart.As shown in the figure, this module comprises the signal of telecommunication pre-amplification circuit, photoelectric isolating circuit, high-pass filtering circuit, low-pass filter circuit, 50Hz trap (power frequency trap) circuit, the main amplification and level lifting circuit, analog-digital converter and DSP (digital signal processor) of process successively.Wherein pre-amplification circuit as shown in Figure 3, photoelectric isolating circuit as shown in Figure 4, high low-pass filter circuit as shown in Figure 5,50Hz power frequency trap circuit as shown in Figure 6, main amplifying circuit and level lifting circuit are as shown in Figure 7.Analog-digital converter is selected 16 high-performance ADS8318 analog-digital converters of TI company for use.DSP selects the TMS320C5509 of TI company for use.The function of finishing among the DSP has: gather brain electricity (brain wave) signal, handle EEG signals (extracting the main frequency and the waveform thereof of EEG signals), and be sent to master controller by serial ports.
Fig. 3 is the preamplifier circuit of bipolar electrode brain wave acquisition module.Two the EEG signals V1 that lead, V2 import after by the electrode collection, respectively through after the passive low ventilating filter filter away high frequency noise of forming by R2, C1 and R5, C2, two in-phase input ends of common mode drive circuit are made of in input U1, U2, R1, R3, R4, the interferential problem of common mode disturbances variation mould so that the component parameters of removing passive filter does not match and brought improves common mode input impedance simultaneously; Be input to homophase and the inverting input of U4 (AD620) then respectively, amplify the input of back output (output signal voltage V0) to photoelectric isolating circuit by AD620.The resistance of R6, R7 has determined the amplification of AD620, takes out voltage simultaneously between R6, R7, and the screen layer of the voltage follower rear drive lead that process U3 forms is to improve the ability that suppresses common mode disturbances.
Fig. 4 is the photoelectric isolating circuit of bipolar electrode brain wave acquisition module.After the output signal voltage V0 of pre-amplification circuit is input to photoelectric isolating circuit; be input to the inverting input of amplifier U5 through R8; U5 amplifies rear drive optocoupler T1, T2; to realize the isolation of human body and electrical equipment; resistance R 11 is current-limiting resistances; purpose is in order to protect optocoupler T1, T2, and the electric current that prevents to flow through them is excessive and cause damage.Wherein T2 and R9, R10 constitute input and the outfan C3 of negative-feedback circuit and U5, together for U5 provides quick feedback control loop, prevent that U5 from producing self-oscillation.The effect of R12 and R14 provides the positive bias voltage of U5 and the input impedance at the just anti-phase two ends of balance U5.After amplifying, the amplifying circuit that EEG signals after the isolation is formed via amplifier U6, R13, R15, R16, R17, R18 and C4 outputs to (output signal voltage V3) in the filter circuit.The negative feedback branch road C4 of U6 and R18 constitute the high frequency feedback network, make that a large amount of High-frequency Interference composition that increases owing to the frequency spectrum of light is very wide can be clean by filtering under the effect of high frequency negative feedback network through in the coupled EEG signals of photoelectricity.
Fig. 5 is the high low-pass filter circuit of bipolar electrode brain wave acquisition module.The output signal voltage V3 of photoelectric isolating circuit is input to the input of high low-pass filter circuit.High-pass filtering is by R21, and C6 constitutes, and its cut-off frequency is 0.08Hz.R19, R20, R22, R23, C5, C7, C8, C9 and amplifier U7, U8 constitute the quadravalence low pass filter, and its cut-off frequency is 60Hz.Output to the input of 50Hz power frequency trap circuit through filtered EEG signals V4.
Fig. 6 is the 50Hz power frequency trap circuit of bipolar electrode brain wave acquisition module; Input signal (EEG signals) V4 wherein, output signal V5.It is the main interference of EEG signals that the 50Hz power frequency is disturbed, though pre-amplification circuit has stronger inhibition ability to common mode disturbances, but there is the part power frequency disturb to be that mode with difference mode signal enters circuit, EEG signals is caused serious disturbance, in addition filtering.Here the active twin-T network trap circuit of our employing is made of amplifier U9, U10 and corresponding resistance capacitance.R24=R26=2R25=R among the figure, C10=C11=C12/2, R27=(1-K) R, R28=KR, K value value influences the bandwidth of trap circuit.The K value is big more, and frequency selectivity is good more.But the K value is too high, and the unstable properties of wave filter when changed by environmental effect parameter such as temperature, can make the trap point be moved, and power frequency is disturbed and just be can not get effective inhibition.Usually K gets about 0.8.In addition in the twin-T network, the R of two branch roads, the bottom line that the decay of the symmetrical degree decision trap point of C can reach.Have only maintenance R, between R and the R/2 and C, the strict symmetrical relations between C and the 2C just can make corresponding to the signal of power frequency and cancel each other, and decays to zero.
Fig. 7 is the main amplifying circuit and the level lifting circuit of bipolar electrode brain wave acquisition module.Through still mv level of the EEG signals (being the output signal V5 among Fig. 6) imported after a series of processing of circuit in front, because the ADC input voltage range that subsequent conditioning circuit uses is 0~2.5V, so EEG signals also needed further to amplify and the level lifting before sending into ADC.R29, R31 and amplifier U11 constitute main amplifying circuit among the figure, regulate R31 scalable amplification, and the voltage of EEG signals V6 that makes output is within the input range of ADC.R30, R32 and amplifier U12 constitute level lifting circuit.
Master controller is selected the high-performance TMS470R1VF689 of TI company for use, and it is based on 32 RISC TMS470MCU of ARM7, and it is with performance, reliability, scalable framework and enrich peripheral hardware etc. and ideally integrate.Here master controller is responsible for the control that the instrument general function is realized, comprises reception and storage with EEG signals, the frequency reducing of EEG signals or raising frequency, the output control of treatment signal, the control of man machine interface etc.
Fig. 8 is the signal output module block diagram, and this module comprises digital to analog converter (DAC), amplifying circuit, output driving circuit and magnetic field generator as shown in the figure.
Analog-digital converter is selected 16 analog-digital converter DAC8830 of single channel of TI company for use.After DAC8830 is converted into analog quantity with digital quantity, again amplifier is amplified, produce magnetic field by output driving circuit driving magnetic field generator at last.
Fig. 9 is the flow chart of inducing the brain wave frequency to descend.As shown in the figure, at first obtain given (brain) target frequency, enter the process of inducing then.It induces process as follows: obtain waveform and frequency earlier when forebrain electricity (ripple), in master controller, judge then when the frequency of forebrain electricity whether in range of target frequencies, if words say that bright having reached induce purpose, finish to induce; Otherwise master controller reduces 0.1Hz with the EEG signals frequency of input, outputs to driving magnetic field generator generation magnetic field ripple (inducing ripple) in the output circuit then, in the frequency arrival range of target frequencies of current patient's brain wave.The concrete time started of inducing can be set by master controller.
Figure 10 is the flow chart of inducing the brain wave frequency to raise.As shown in the figure, at first obtain given (brain) target frequency, enter the process of inducing then.It induces process as follows: obtain waveform and frequency earlier when the forebrain electricity, in master controller, judge then when the frequency of forebrain electricity whether in range of target frequencies, if words say that bright having reached induce purpose, finish to induce; Otherwise master controller outputs to driving magnetic field generator generation magnetic field ripple (inducing ripple) in the output circuit then with the EEG signals frequency rising 0.1Hz of input, in the frequency arrival range of target frequencies of current patient's brain electricity.The concrete time started of inducing can be set by master controller.
All outsourcings of all electronics (electric) components and parts among the present invention.

Claims (5)

1, intelligent insomnia therapeutic instrument comprises the signal output module that produces time-varying magnetic field, it is characterized in that; This device also comprises bipolar electrode brain wave acquisition module of gathering the real-time brain wave of patient and the master controller that the brain wave of gathering acquisition is carried out frequency reducing or raising frequency processing, described signal output module is an analogue signal with the digital brain electrical conversion of signals of master controller output, produces described time-varying magnetic field through amplifying the rear drive magnetic field generator again.
2, intelligent insomnia therapeutic instrument according to claim 1, it is characterized in that in the described bipolar electrode brain wave acquisition module, the real-time brain wave of patient inputs to pre-amplification circuit by the electrode collection that is affixed on its forehead both sides, and successively through behind photoelectric isolating circuit, high-pass filtering circuit, low-pass filter circuit, 50Hz power frequency trap circuit, main amplification and the level lifting circuit, be converted into digital signal in the input analog-to-digital converter, extract the basic frequency and the waveform of brain wave then by digital signal processor, and be sent in the master controller by serial ports.
3, intelligent insomnia therapeutic instrument according to claim 1 is characterized in that described master controller sends into memory stores to the EEG signals of receiving; And EEG signals is carried out frequency reducing or raising frequency handle, the time-varying magnetic field that is used for the treatment of by signal output module output then.
4,, it is characterized in that described master controller also disposes the man machine interface that comprises button operation and liquid crystal display according to claim 2 or 3 described intelligent insomnia therapeutic instruments.
5, intelligent insomnia therapeutic instrument according to claim 4 is characterized in that described signal output module comprises digital to analog converter, amplifying circuit, output driving circuit and the magnetic field generator of signal of telecommunication connection successively.
CN2009100989677A 2009-05-22 2009-05-22 Intelligent insomnia therapeutic instrument Expired - Fee Related CN101559252B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2009100989677A CN101559252B (en) 2009-05-22 2009-05-22 Intelligent insomnia therapeutic instrument

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2009100989677A CN101559252B (en) 2009-05-22 2009-05-22 Intelligent insomnia therapeutic instrument

Publications (2)

Publication Number Publication Date
CN101559252A true CN101559252A (en) 2009-10-21
CN101559252B CN101559252B (en) 2011-06-22

Family

ID=41218341

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2009100989677A Expired - Fee Related CN101559252B (en) 2009-05-22 2009-05-22 Intelligent insomnia therapeutic instrument

Country Status (1)

Country Link
CN (1) CN101559252B (en)

Cited By (60)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101966080A (en) * 2010-10-26 2011-02-09 东北大学 Portable active electroencephalogram monitor and control method thereof
CN102500058A (en) * 2011-10-28 2012-06-20 广西师范大学 Neurologic disease physiotherapeutic instrument based on brain waves and use method thereof
CN102512159A (en) * 2011-12-08 2012-06-27 西安交通大学 Portable wireless electroencephalogram acquisition device
CN103239227A (en) * 2012-02-07 2013-08-14 联想(北京)有限公司 Sleep quality detection device and sleep quality detection method
CN103301571A (en) * 2012-03-06 2013-09-18 王绍璠 Auxiliary system for treating and recuperating symptoms caused by cranial nerve disorder and using method thereof
CN103372258A (en) * 2012-04-12 2013-10-30 孙雪青 Insomnia treatment instrument and insomnia treatment method
CN104000576A (en) * 2014-05-04 2014-08-27 山东中医药大学 Electrocardiosignal amplifier
CN104487124A (en) * 2012-07-31 2015-04-01 索尼公司 Content output device, content output method, control device, and control method
CN104548358A (en) * 2015-01-22 2015-04-29 中国人民解放军兰州军区乌鲁木齐总医院 Low-frequency pulse electromagnetic therapeutic instrument for frostbite treatment
CN105324077A (en) * 2013-04-19 2016-02-10 皇家飞利浦有限公司 System and method for sleep session management based on slow wave sleep activity in a subject
CN105342607A (en) * 2015-12-17 2016-02-24 无锡桑尼安科技有限公司 Detection and alarm method for state of high-speed rail driver
CN105361893A (en) * 2015-12-17 2016-03-02 无锡桑尼安科技有限公司 Physiological state recognition method
CN105361892A (en) * 2015-12-17 2016-03-02 无锡桑尼安科技有限公司 Personnel physiological state recognition platform based on race detection
CN105380644A (en) * 2015-12-17 2016-03-09 无锡桑尼安科技有限公司 High-speed rail driver state detecting and alarming platform
CN105395190A (en) * 2015-12-17 2016-03-16 无锡桑尼安科技有限公司 Aircraft commander state alarming method based on multi-parameter detection
CN105411559A (en) * 2015-12-17 2016-03-23 无锡桑尼安科技有限公司 Airplane captain physiological parameter monitoring method
CN105411585A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 Multifunctional medical monitoring alarming method
CN105411571A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 High-speed rail driver early warning platform based on physiological parameter analysis
CN105411581A (en) * 2015-12-17 2016-03-23 无锡桑尼安科技有限公司 Insulin injection control method based on blood glucose detection
CN105411582A (en) * 2015-12-17 2016-03-23 无锡桑尼安科技有限公司 Control system
CN105411586A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 Physiological parameter detector based on race detecting
CN105411533A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 Multifunctional medical monitoring alarming platform
CN105411603A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 Panel-type emergency early warning method specially used for diver
CN105433925A (en) * 2016-01-02 2016-03-30 无锡桑尼安科技有限公司 Physiological parameter detecting method based on race detection
CN105433959A (en) * 2016-01-02 2016-03-30 无锡桑尼安科技有限公司 Intelligent medical monitoring method
CN105433943A (en) * 2016-01-02 2016-03-30 无锡桑尼安科技有限公司 Intelligent double-physiological-parameter monitoring platform
CN105455803A (en) * 2016-01-02 2016-04-06 无锡桑尼安科技有限公司 Physiological parameter pre-warning device
CN105496372A (en) * 2016-01-02 2016-04-20 无锡桑尼安科技有限公司 Abnormal state monitoring device
CN105496405A (en) * 2016-01-02 2016-04-20 无锡桑尼安科技有限公司 Spring type emergency alarm method used on airplane
CN105496379A (en) * 2015-12-17 2016-04-20 无锡桑尼安科技有限公司 Health monitoring system
CN105534533A (en) * 2016-01-02 2016-05-04 无锡桑尼安科技有限公司 Push-button high-speed rail conductor state detection system
CN105534532A (en) * 2016-01-02 2016-05-04 无锡桑尼安科技有限公司 Face plate type emergency early warning platform special for diver
CN105559774A (en) * 2015-12-17 2016-05-11 无锡桑尼安科技有限公司 Captain state alarm system based on multi-parameter detection
CN105561431A (en) * 2015-12-17 2016-05-11 无锡桑尼安科技有限公司 Insulin injection control system based on blood glucose measurement
CN105596009A (en) * 2016-01-02 2016-05-25 无锡桑尼安科技有限公司 Key type detection system
CN105615876A (en) * 2016-01-02 2016-06-01 无锡桑尼安科技有限公司 High-speed rail hazardous condition early-warning method
CN105615849A (en) * 2016-01-02 2016-06-01 无锡桑尼安科技有限公司 Analyzing device for abnormal status of passenger ship captain
CN105640540A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Passenger ship captain function monitoring device with emergence mode
CN105640563A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Multifunctional medical detecting platform
CN105640547A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Low-power mobile microgrid grid-connected detection system
CN105640548A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Blood glucose analyzing early-warning method
CN105640565A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Multifunctional medical testing method
CN105662427A (en) * 2016-01-02 2016-06-15 无锡桑尼安科技有限公司 Blood glucose analyzing and early-warning system
CN105662405A (en) * 2016-01-02 2016-06-15 无锡桑尼安科技有限公司 State detection method
CN105662404A (en) * 2016-01-02 2016-06-15 无锡桑尼安科技有限公司 Bus driver state early-warning method
CN105662429A (en) * 2016-01-02 2016-06-15 无锡桑尼安科技有限公司 Medical detector
CN105686802A (en) * 2016-01-02 2016-06-22 无锡桑尼安科技有限公司 A diver state pre-warning system based on blood glucose analysis
CN105748070A (en) * 2016-04-26 2016-07-13 深圳市思立普科技有限公司 Sleep intervention method for improving sleep quality
CN105852853A (en) * 2016-04-26 2016-08-17 深圳市思立普科技有限公司 Memory control method for improving sleeping quality
CN105999510A (en) * 2016-04-26 2016-10-12 深圳市思立普科技有限公司 Physiological control method capable of improving sleep quality
WO2017185537A1 (en) * 2016-04-26 2017-11-02 深圳市思立普科技有限公司 Sleep control electromagnetic wave output control method
CN107942643A (en) * 2017-11-22 2018-04-20 重庆大学 The imitative sleep biological rhythm alarm clock of one kind
CN109453453A (en) * 2018-11-13 2019-03-12 安生健康科技(天津)有限公司 A kind of transcranial magnetic stimulation Intelligent sleep-assisting system
CN109621206A (en) * 2018-11-20 2019-04-16 深圳市福康达生物科技有限公司 Neural stem cell method, apparatus, terminal device and treatment of sleep disorders system
CN111345819A (en) * 2020-03-05 2020-06-30 江西诗美乐生物科技发展有限公司 Multi-electrode electroencephalogram acquisition method and intelligent insomnia therapeutic apparatus applying same
CN113398425A (en) * 2021-07-28 2021-09-17 慈溪市贝联电器有限公司 Brain wave intelligent sleep assisting instrument
CN113521487A (en) * 2021-08-28 2021-10-22 武汉左点科技有限公司 Low-frequency pulse insomnia treatment method and device
CN113729732A (en) * 2021-09-06 2021-12-03 上海觉觉健康科技有限公司 Sleep quality monitoring system and method based on EEG signal
CN113975587A (en) * 2021-12-23 2022-01-28 深圳市心流科技有限公司 Brain wave-based insomnia adjustment system and method, intelligent terminal and storage medium
CN115192854A (en) * 2022-09-14 2022-10-18 深圳市健怡康医疗器械科技有限公司 Sleep aid based on intelligent frequency modulation

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6978179B1 (en) * 2002-02-27 2005-12-20 Flagg Rodger H Method and apparatus for magnetic brain wave stimulation
CN2618620Y (en) * 2002-07-04 2004-06-02 清华德人生物科技有限公司 Brain health instrument
CN2796743Y (en) * 2005-04-16 2006-07-19 何明利 Magnetotherapeutic instrument for sleep brain wave modulation
CN1970110A (en) * 2006-12-08 2007-05-30 王明时 Magnetism-inductive sleeping instrument
CN201414988Y (en) * 2009-05-22 2010-03-03 顾磊 Intelligent insomnia therapeutic apparatus

Cited By (72)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101966080B (en) * 2010-10-26 2012-06-20 东北大学 Portable active electroencephalogram monitor and control method thereof
CN101966080A (en) * 2010-10-26 2011-02-09 东北大学 Portable active electroencephalogram monitor and control method thereof
CN102500058A (en) * 2011-10-28 2012-06-20 广西师范大学 Neurologic disease physiotherapeutic instrument based on brain waves and use method thereof
CN102500058B (en) * 2011-10-28 2014-08-13 广西师范大学 Neurologic disease physiotherapeutic instrument based on brain waves and use method thereof
CN102512159A (en) * 2011-12-08 2012-06-27 西安交通大学 Portable wireless electroencephalogram acquisition device
CN103239227A (en) * 2012-02-07 2013-08-14 联想(北京)有限公司 Sleep quality detection device and sleep quality detection method
CN103239227B (en) * 2012-02-07 2015-11-25 联想(北京)有限公司 sleep quality detection device and detection method thereof
CN103301571B (en) * 2012-03-06 2015-07-29 王绍璠 Health treats the aid system of out-of-sequence the caused symptom of cranial nerve
CN103301571A (en) * 2012-03-06 2013-09-18 王绍璠 Auxiliary system for treating and recuperating symptoms caused by cranial nerve disorder and using method thereof
CN103372258A (en) * 2012-04-12 2013-10-30 孙雪青 Insomnia treatment instrument and insomnia treatment method
CN103372258B (en) * 2012-04-12 2016-04-27 孙雪青 Apparatus for curing insomnia
CN104487124A (en) * 2012-07-31 2015-04-01 索尼公司 Content output device, content output method, control device, and control method
CN105324077A (en) * 2013-04-19 2016-02-10 皇家飞利浦有限公司 System and method for sleep session management based on slow wave sleep activity in a subject
CN104000576A (en) * 2014-05-04 2014-08-27 山东中医药大学 Electrocardiosignal amplifier
CN104548358B (en) * 2015-01-22 2016-09-07 中国人民解放军兰州军区乌鲁木齐总医院 Frostbite low-frequency pulse electromagnetic therapeutic apparatus
CN104548358A (en) * 2015-01-22 2015-04-29 中国人民解放军兰州军区乌鲁木齐总医院 Low-frequency pulse electromagnetic therapeutic instrument for frostbite treatment
CN105496379A (en) * 2015-12-17 2016-04-20 无锡桑尼安科技有限公司 Health monitoring system
CN105380644A (en) * 2015-12-17 2016-03-09 无锡桑尼安科技有限公司 High-speed rail driver state detecting and alarming platform
CN105395190A (en) * 2015-12-17 2016-03-16 无锡桑尼安科技有限公司 Aircraft commander state alarming method based on multi-parameter detection
CN105411559A (en) * 2015-12-17 2016-03-23 无锡桑尼安科技有限公司 Airplane captain physiological parameter monitoring method
CN105380644B (en) * 2015-12-17 2017-12-29 南陵旺科知识产权运营有限公司 High ferro driver status detects alarm platform
CN105361893A (en) * 2015-12-17 2016-03-02 无锡桑尼安科技有限公司 Physiological state recognition method
CN105411581A (en) * 2015-12-17 2016-03-23 无锡桑尼安科技有限公司 Insulin injection control method based on blood glucose detection
CN105411582A (en) * 2015-12-17 2016-03-23 无锡桑尼安科技有限公司 Control system
CN105561431A (en) * 2015-12-17 2016-05-11 无锡桑尼安科技有限公司 Insulin injection control system based on blood glucose measurement
CN105559774A (en) * 2015-12-17 2016-05-11 无锡桑尼安科技有限公司 Captain state alarm system based on multi-parameter detection
CN105342607A (en) * 2015-12-17 2016-02-24 无锡桑尼安科技有限公司 Detection and alarm method for state of high-speed rail driver
CN105361892A (en) * 2015-12-17 2016-03-02 无锡桑尼安科技有限公司 Personnel physiological state recognition platform based on race detection
CN105534533A (en) * 2016-01-02 2016-05-04 无锡桑尼安科技有限公司 Push-button high-speed rail conductor state detection system
CN105662404A (en) * 2016-01-02 2016-06-15 无锡桑尼安科技有限公司 Bus driver state early-warning method
CN105455803A (en) * 2016-01-02 2016-04-06 无锡桑尼安科技有限公司 Physiological parameter pre-warning device
CN105496372A (en) * 2016-01-02 2016-04-20 无锡桑尼安科技有限公司 Abnormal state monitoring device
CN105496405A (en) * 2016-01-02 2016-04-20 无锡桑尼安科技有限公司 Spring type emergency alarm method used on airplane
CN105433959A (en) * 2016-01-02 2016-03-30 无锡桑尼安科技有限公司 Intelligent medical monitoring method
CN105433925A (en) * 2016-01-02 2016-03-30 无锡桑尼安科技有限公司 Physiological parameter detecting method based on race detection
CN105411603A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 Panel-type emergency early warning method specially used for diver
CN105534532A (en) * 2016-01-02 2016-05-04 无锡桑尼安科技有限公司 Face plate type emergency early warning platform special for diver
CN105411533A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 Multifunctional medical monitoring alarming platform
CN105411586A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 Physiological parameter detector based on race detecting
CN105596009A (en) * 2016-01-02 2016-05-25 无锡桑尼安科技有限公司 Key type detection system
CN105615876A (en) * 2016-01-02 2016-06-01 无锡桑尼安科技有限公司 High-speed rail hazardous condition early-warning method
CN105615849A (en) * 2016-01-02 2016-06-01 无锡桑尼安科技有限公司 Analyzing device for abnormal status of passenger ship captain
CN105640540A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Passenger ship captain function monitoring device with emergence mode
CN105640563A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Multifunctional medical detecting platform
CN105640547A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Low-power mobile microgrid grid-connected detection system
CN105640548A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Blood glucose analyzing early-warning method
CN105640565A (en) * 2016-01-02 2016-06-08 无锡桑尼安科技有限公司 Multifunctional medical testing method
CN105662427A (en) * 2016-01-02 2016-06-15 无锡桑尼安科技有限公司 Blood glucose analyzing and early-warning system
CN105662405A (en) * 2016-01-02 2016-06-15 无锡桑尼安科技有限公司 State detection method
CN105433943A (en) * 2016-01-02 2016-03-30 无锡桑尼安科技有限公司 Intelligent double-physiological-parameter monitoring platform
CN105662429A (en) * 2016-01-02 2016-06-15 无锡桑尼安科技有限公司 Medical detector
CN105686802A (en) * 2016-01-02 2016-06-22 无锡桑尼安科技有限公司 A diver state pre-warning system based on blood glucose analysis
CN105411585A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 Multifunctional medical monitoring alarming method
CN105411571A (en) * 2016-01-02 2016-03-23 无锡桑尼安科技有限公司 High-speed rail driver early warning platform based on physiological parameter analysis
CN105852853A (en) * 2016-04-26 2016-08-17 深圳市思立普科技有限公司 Memory control method for improving sleeping quality
CN105999510A (en) * 2016-04-26 2016-10-12 深圳市思立普科技有限公司 Physiological control method capable of improving sleep quality
WO2017185538A1 (en) * 2016-04-26 2017-11-02 深圳市思立普科技有限公司 Memory controlling method for improving sleep quality
WO2017185537A1 (en) * 2016-04-26 2017-11-02 深圳市思立普科技有限公司 Sleep control electromagnetic wave output control method
WO2017185539A1 (en) * 2016-04-26 2017-11-02 深圳市思立普科技有限公司 Physiological control method for improving sleep quality
WO2017185535A1 (en) * 2016-04-26 2017-11-02 深圳市思立普科技有限公司 Sleep intervention method for improving sleep quality
CN105748070A (en) * 2016-04-26 2016-07-13 深圳市思立普科技有限公司 Sleep intervention method for improving sleep quality
CN107942643A (en) * 2017-11-22 2018-04-20 重庆大学 The imitative sleep biological rhythm alarm clock of one kind
CN109453453A (en) * 2018-11-13 2019-03-12 安生健康科技(天津)有限公司 A kind of transcranial magnetic stimulation Intelligent sleep-assisting system
CN109621206A (en) * 2018-11-20 2019-04-16 深圳市福康达生物科技有限公司 Neural stem cell method, apparatus, terminal device and treatment of sleep disorders system
CN111345819A (en) * 2020-03-05 2020-06-30 江西诗美乐生物科技发展有限公司 Multi-electrode electroencephalogram acquisition method and intelligent insomnia therapeutic apparatus applying same
CN113398425A (en) * 2021-07-28 2021-09-17 慈溪市贝联电器有限公司 Brain wave intelligent sleep assisting instrument
CN113521487A (en) * 2021-08-28 2021-10-22 武汉左点科技有限公司 Low-frequency pulse insomnia treatment method and device
CN113521487B (en) * 2021-08-28 2022-03-29 武汉左点科技有限公司 Low-frequency pulse insomnia treatment method and device
CN113729732A (en) * 2021-09-06 2021-12-03 上海觉觉健康科技有限公司 Sleep quality monitoring system and method based on EEG signal
CN113975587A (en) * 2021-12-23 2022-01-28 深圳市心流科技有限公司 Brain wave-based insomnia adjustment system and method, intelligent terminal and storage medium
CN113975587B (en) * 2021-12-23 2022-05-17 深圳市心流科技有限公司 Brain wave-based insomnia adjustment system and method, intelligent terminal and storage medium
CN115192854A (en) * 2022-09-14 2022-10-18 深圳市健怡康医疗器械科技有限公司 Sleep aid based on intelligent frequency modulation

Also Published As

Publication number Publication date
CN101559252B (en) 2011-06-22

Similar Documents

Publication Publication Date Title
CN101559252B (en) Intelligent insomnia therapeutic instrument
CN103372258B (en) Apparatus for curing insomnia
CN201414988Y (en) Intelligent insomnia therapeutic apparatus
CN102526875B (en) Digital insomnia therapy instrument and therapy method
CN105534150A (en) Multifunctional intelligent mattress system
CN102743169B (en) Multifunctional acupuncture point detection device and method
CN106974647A (en) A kind of brain wave head-wearing device and remote-controlled robot and the method for tempering brain
CN108523901A (en) A kind of sleep quality monitoring method based on smart mobile phone
CN106725458A (en) One kind is detected based on brain wave and notifies system
Brackbill Continuous stimulation and arousal level in infancy: Effects of stimulus intensity and stress
CN211884899U (en) Sleep-aiding instrument
CN206453760U (en) A kind of sleep monitor system
CN202538166U (en) Digital insomnia therapeutic instrument
CN1742673A (en) Electroencephalo safety monitoring prompting device
Li et al. Smart house control system controlled by brainwave
CN204840674U (en) Electron sleep appearance
CN201533947U (en) Psychological intervention therapeutic instrument based on brainwave feedback
CN103071226A (en) Method for increasing deep sleep time based on personalized pink noises
CN201529321U (en) Insomnia therapeutic apparatus
CN1686046A (en) Method of monitoring and reducing pressure
CN206995266U (en) A kind of detection means based on brain wave
CN201453836U (en) Brain wave feedback internet addiction withdrawal apparatus
CN109691990A (en) Sleep apnea low detection device and method
CN116763323A (en) Anesthesia depth monitoring system
CN1116555A (en) Sleep disturbance restoration apparatus

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
ASS Succession or assignment of patent right

Owner name: JIANGXI SHIMEILE BIOTECHNOLOGY DEVELOPMENT CO., LT

Free format text: FORMER OWNER: GU LEI

Effective date: 20110310

C41 Transfer of patent application or patent right or utility model
COR Change of bibliographic data

Free format text: CORRECT: ADDRESS; FROM: 310008 ROOM 26-2-601, WANGJIANGJIAYUAN XIYUAN, QIUTAO ROAD, JIANGGAN DISTRICT, HANGZHOU CITY, ZHEJIANG PROVINCE TO: 330096 ROOM 501, AREA C, NO. 698, JINGDONG AVENUE, HIGH-TECH. ZONE, NANCHANG CITY, JIANGXI PROVINCE

TA01 Transfer of patent application right

Effective date of registration: 20110310

Address after: 501, room 330096, C District, 698 Jingdong Avenue, hi tech Zone, Jiangxi, Nanchang

Applicant after: Jiangxi Shimeile Biotechnology Development Co., Ltd.

Address before: Hangzhou City, Zhejiang province 310008 Jianggan District Qiutao Road, room 26-2-601 Wangjiang Park home

Applicant before: Gu Lei

C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20110622

Termination date: 20180522

CF01 Termination of patent right due to non-payment of annual fee