CN109009103A - The detection of the biofeedback type disturbance of consciousness and wake-up system - Google Patents

The detection of the biofeedback type disturbance of consciousness and wake-up system Download PDF

Info

Publication number
CN109009103A
CN109009103A CN201811010291.7A CN201811010291A CN109009103A CN 109009103 A CN109009103 A CN 109009103A CN 201811010291 A CN201811010291 A CN 201811010291A CN 109009103 A CN109009103 A CN 109009103A
Authority
CN
China
Prior art keywords
consciousness
disturbance
stimulation
main control
wake
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.)
Pending
Application number
CN201811010291.7A
Other languages
Chinese (zh)
Inventor
吴凯
刘亚
韩俊南
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.)
Guangzhou Smart Information Technology Co Ltd
South China University of Technology SCUT
Original Assignee
Guangzhou Smart Information Technology Co Ltd
South China University of Technology SCUT
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 Guangzhou Smart Information Technology Co Ltd, South China University of Technology SCUT filed Critical Guangzhou Smart Information Technology Co Ltd
Priority to CN201811010291.7A priority Critical patent/CN109009103A/en
Publication of CN109009103A publication Critical patent/CN109009103A/en
Pending legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/6803Head-worn items, e.g. helmets, masks, headphones or goggles
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/20Applying electric currents by contact electrodes continuous direct currents
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Physics & Mathematics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Surgery (AREA)
  • Signal Processing (AREA)
  • Psychiatry (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Physiology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Power Engineering (AREA)
  • General Business, Economics & Management (AREA)
  • Business, Economics & Management (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Psychology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The invention discloses a kind of detection of biofeedback type disturbance of consciousness and wake up system, including personalized audiovisual stimulating apparatus, disturbance of consciousness evaluation module and through cranium galvanic current stimulation device, personalized audiovisual stimulating apparatus provides the stimulation of diagnosis and the wake-up scheme of consciousness simultaneously;Disturbance of consciousness evaluation module includes brain wave acquisition device, integrated simulation front end, main control unit, bluetooth unit, Power Management Unit.Eeg signal acquisition device is connected by interface with integrated simulation front end, and integrated simulation front end is connected with main control unit;Main control unit is controlled according to brain electrical characteristic values through cranium galvanic current stimulation device, and eeg data is transferred to personalized audiovisual stimulating apparatus to control different personalized audiovisual stimulation protocols by bluetooth unit, and Power Management Unit is associated components power supply.Detection, diagnosis and the rehabilitation integration of the disturbance of consciousness dynamic regulation can be waken up scheme according to testing result by the present invention, and validity is high, and as a result accurately, to early stage, the recovery of consciousness is of great significance.

Description

The detection of the biofeedback type disturbance of consciousness and wake-up system
Technical field
The present invention relates to biological brain telecommunications fields, and in particular to a kind of detection of the biofeedback type disturbance of consciousness and calls out The system of waking up.
Background technique
The disturbance of consciousness is common clinical symptoms after serious cerebral injury, is divided into brain death, stupor, vegetative state, micro- consciousness State, apallic syndrome (actually regain consciousness, but be listed in this series of studies).China increases disturbance of consciousness patient about 100,000 newly every year, Need to spend up to ten thousand yuan of 10-50 for the treatment of and nursing expense every year, so huge patient populations and enormous expenditure to family and Society brings great burden.
It clinically relies primarily on various marking scales at present and doctor's experience comments the degree of the disturbance of consciousness and prognosis Valence not only has very strong subjectivity and hysteresis quality, and it is even more impossible to capture the recovery of early stage consciousness, misdiagnosis rate is up to 43%.Cause This, it is still medicine great difficulty urgently to be resolved that objectively evaluation and test disturbance of consciousness patient, which has unconscious, and determines efficient rehabilitation scheme Topic.
Research has proven to can be by electroencephalogram (EEG), Positron Emission Computed Tomography technology (PET) and function magnetic The means such as resonance image-forming technology (fMRI) detect disturbance of consciousness person's brain activity, but existing normal form does not have personalization, it is difficult to relate to And the unique conscious experience content of disturbance of consciousness person, effect is limited in terms of consciousness assessment and wake-up.
Name, emotion picture etc. are called out in existing research confirmation can cause disturbance of consciousness person part brain area to be activated by specificity, and more Channel stimulation is stimulated than single channel can cause the more behavior responses of disturbance of consciousness person, but the stimulation used of finding report is standard Normal form can not touch the deep layer conscious content of disturbance of consciousness person's differentiation.In recent years, bio-feedback therapeutic apparatus was as a kind of new Equipment is used in numerous disease areas, achieves positive therapeutic effect, plays positive reference function to development of the invention.
Summary of the invention
The purpose of the present invention is to solve drawbacks described above in the prior art, provide a kind of biofeedback type disturbance of consciousness Detection and wake-up system realize personalized audiovisual stimulation and the automatic adjusument through cranium galvanic current stimulation, form effective health Compound case is conducive to improve detection efficiency, reduces cost.
The purpose of the present invention can be reached by adopting the following technical scheme that:
A kind of detection of the biofeedback type disturbance of consciousness and system is waken up, the system includes personalized audiovisual stimulation dress Set, disturbance of consciousness evaluation module and through cranium galvanic current stimulation device, the disturbance of consciousness evaluation module include brain wave acquisition device, Integrated simulation front end, main control unit, bluetooth unit, Power Management Unit, wherein the brain wave acquisition device by electrode and USB interface is connected with integrated simulation front end, and the integrated simulation front end is connected by SPI with main control unit, the master control Unit is connected by UART with the bluetooth unit, and the bluetooth unit passes through with the personalized audiovisual stimulating apparatus Bluetooth wireless information interaction, and by bluetooth unit by the eeg data of main control unit be transferred to personalized audiovisual stimulating apparatus come Different personalized audiovisual stimulation protocols is controlled,
Described connect through cranium galvanic current stimulation device with the main control unit, according to the brain electrical characteristic values of main control unit Adjust personalized audiovisual stimulation material and stimulus type, output direct current electric strength through cranium galvanic current stimulation, wherein the warp The stimulus type of cranium galvanic current stimulation includes stimulus of direct current, impulse stimulation, sinusoidal stimulation and pseudo- stimulation.
Further, the personalized audition stimulation protocol is designed based on psychological principle, by collecting and screening meaning Know the relevant recall info of obstacle person, selects optimal light, sound, the combination of shadow and presentation time, wherein recall info , memory most deep people, object, thing favorite including disturbance of consciousness person.
Further, the disturbance of consciousness evaluation module further includes Power Management Unit, the Power Management Unit It powers for integrated simulation front end, main control unit, through cranium galvanic current stimulation device.
Further, the brain wave acquisition device includes cap, monopole eeg sensor, reference electrode, wherein described The inside of cap, and the forehead skin contact with wearer is arranged in monopole eeg sensor;The reference electrode and cap Lower edge be connected, and be clipped at the ear-lobe of wearer;The reference electrode is brain electricity patch electrode;
The monopole eeg sensor and reference electrode are connect with integrated simulation front end respectively.
Further, the ADS1299 chip of TI company, including sequentially connected multichannel are selected in the integrated simulation front end Multiplexer, detection components, filter, low noise gain amplifier, high-resolution analog-digital converter, biasing driving amplifier, vibration Device and serial peripheral equipment interface SPI are swung,
The integrated simulation front end amplifies collected EEG signals, filter and analog-to-digital conversion after by serial Peripheral Interface SPI is transferred to main control unit.
Further, described through cranium galvanic current stimulation device includes D/A converter module, constant current source module and surface Electrode, this exports stimulus of direct current, impulse stimulation, sinusoidal thorn according to the brain electrical characteristic values of main control unit through cranium galvanic current stimulation device Swash and pseudo- stimulation, the stimulus signal of output after D/A converter module carries out digital-to-analogue conversion through constant current source module, by be suitable for Electric current is exported to surface electrode, and acts on disturbance of consciousness person's target region.
Further, described through cranium galvanic current stimulation device further includes overcurrent protection for limiting circuit transient current Circuit, the current foldback circuit include NPN type triode T1, sampling resistor R1, pull-up resistor R2, FPGA and capacitor C1, Wherein, the pole N of NPN type triode T1 is connected with pull-up resistor R2 and FPGA respectively, another pole N of NPN type triode T1 Ground connection, the pole P of NPN type triode T1 is grounded after being connected respectively with sampling resistor R1 and capacitor C1;Protect signal for overcurrent guarantor The input signal of protection circuit, one end of input sample resistance R1 and capacitor C1;
When protecting signal code excessive, capacitor C1 slowly charges, and sampling resistor R1 generates high partial pressures, NPN type triode T1 is switched on, and is exported high level through pull-up resistor R2, FPGA, is controlled the output of stimulus waveform, have the function that current limliting with this.
Further, the main control unit carries out EEG Processing, eliminates low frequency using wavelet package transforms first and makes an uproar Acoustic jamming is then based on the blind source separation algorithm of maximum signal to noise ratio, and the artefact for EEG signals is filtered;Secondly with non- Linear dynamics analysis method calculates real-time EEG signals multiple including dynamic Lempel-Ziv complexity, C0 EEG signals characteristic value including miscellaneous degree and entropy finally utilizes branch after the clustered parser processing of above-mentioned brain electrical characteristic values It holds vector machine and carries out Classification and Identification, correspondence obtains different control instructions.
Further, the bluetooth unit uses TI instrument BLE-CC2640R2F chip.
The present invention has the following advantages and effects with respect to the prior art:
(1) disturbance of consciousness integrated estimation system combine Electrophysiology detection technique (EEG/ERP), functional MRI at As technology (fMRI) and Positron Emission Computed Tomography technology (PET), and clinical behavior scale is combined, foundation is directed to The multi-modal integrated database of disturbance of consciousness person, for disturbance of consciousness person consciousness assessment provide more comprehensively, objective Informational support.
(2) personalized audiovisual stimulating apparatus considers that previous standardized stimulation protocol is difficult to touch disturbance of consciousness person's difference The conscious experience content of change, the present invention propose to formulate the personalized audiovisual stimulating apparatus designed based on psychological principle.Realizing Assessment aspect, the program can be used as stimulation means, complete the disturbance of consciousness person in the state of closer to oneself true consciousness each Item physiology detection, reduces misdiagnosis rate;In terms of consciousness wakes up with rehabilitation, personalized audiovisual stimulating apparatus has abundant, more senses The features such as feeling channel, close real scene, is more conducive to cause the stronger behavior reaction of disturbance of consciousness patient, is expected to become a kind of conjunction Manage effective Novel rehabilitation scheme.
(3) the four kinds of brain electrical features calculated with nonlinear dynamic analysis method integrated in main control unit of the present invention are calculated Method value can reflect the nonlinear characteristic parameters difference of normal brain electric signal and disturbance of consciousness patient's EEG signals substantially, due to EEG signals are directly measured by instrument, the signal processing in later period be calculated by all kinds of accurate algorithms of nonlinear analysis and Analysis show that this method is compared with experience, scale, more objectifies and quantification, especially with clinically used electroencephalogram point Phase separation ratio has certain advantage, is capable of the degree of consciousness of more accurate intuitive reflection brain, for controlling for the subsequent disturbance of consciousness Treatment provides more accurately and reliably index.
Detailed description of the invention
Fig. 1 is the structural block diagram that system is detected and waken up based on the biofeedback type disturbance of consciousness of the embodiment of the present invention;
Fig. 2 be the embodiment of the present invention based on the biofeedback type disturbance of consciousness detect and wake up system midbrain electricity collector and The structure function figure of integrated simulation front end;
Fig. 3 is the embodiment of the present invention for audiovisual stimulating apparatus moderate stimulation scheme system personalized in detection and its rehabilitation and arousal Fixed figure;
Fig. 4 is the embodiment of the present invention for rehabilitation and arousal through cranium stimulation protocol figure;
Fig. 5 is the embodiment of the present invention through the protection circuit diagram in cranium galvanic current stimulation device;
Fig. 6 is the structure and its schematic diagram of the function of bluetooth unit used in the embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Embodiment one
System is detected and waken up based on the biofeedback type disturbance of consciousness as shown in Figure 1, present embodiment discloses one kind, including Personalized audiovisual stimulating apparatus, disturbance of consciousness evaluation module and through cranium galvanic current stimulation device, disturbance of consciousness evaluation module includes Brain wave acquisition device, integrated simulation front end, main control unit, bluetooth unit, Power Management Unit.Brain wave acquisition device by electrode and USB (Universal Serial Bus, universal serial bus) interface is connected with integrated simulation front end, and integrated simulation front end passes through SPI (Serial Peripheral Interface, Serial Peripheral Interface (SPI)) is connected with main control unit, and main control unit passes through UART (Universal Asynchronous Receiver/Transmitter, universal asynchronous receiving-transmitting transmitter) and bluetooth unit phase Even, bluetooth unit is interacted with personalized audiovisual stimulating apparatus progress bluetooth wireless information, and Power Management Unit is before integrated simulation End, main control unit are powered through cranium galvanic current stimulation device.
Wherein, brain wave acquisition device described in the present embodiment includes cap, monopole eeg sensor, reference electrode;
The inside of cap, and the forehead skin contact with wearer is arranged in the monopole eeg sensor;Described Reference electrode is connected with the lower edge of cap, and is clipped at the ear-lobe of wearer;
The monopole eeg sensor and reference electrode are connect with integrated simulation front end respectively.
Specifically in the present embodiment, the ADS1299 chip of TI company, the integrated simulation are selected in the integrated simulation front end Front end up to 8 low-noise programmable gain amplifiers (PGA) and 8 high-resolution synchronized sampling analog-digital converters (ADC), contain There are internal reference and onboard oscillator, collected EEG signals are amplified, are filtered and analog-to-digital conversion.As Fig. 2 includes Multiplexer, detection components, filter, low noise gain amplifier, high-resolution analog-digital converter, biasing drive amplification Device, oscillator and serial peripheral equipment interface SPI.
The reference electrode is brain electricity patch electrode, and the EEG signals of acquisition pass through multiplexer, filter, amplification After device and analog-to-digital conversion, master is transferred to by SPI (Serial Peripheral Interface, Serial Peripheral Interface (SPI)) interface Control unit.
Specifically in the present embodiment, the main control unit selects TI (TEXAS INSTRUMENTS, Texas Instrument) company MSP430FR5739 microcontroller, for the EEG signals of integrated simulation front-end processing to be received, handled and are stored, and EEG signals are transferred to bluetooth unit and personalized audiovisual stimulating apparatus.
As shown in figure 3, personalized audition stimulation protocol is based on the heart in personalized audiovisual stimulating apparatus described in the present embodiment Principle design of science.Specific formulating method: it from the angle at people one's own department or unit, in conjunction with psychology professional knowledge, collects and screening is anticipated Know obstacle person it is relevant acquire a special sense, the recall info of intense emotion or major event, including disturbance of consciousness person most likes , most deep people, object, the thing of memory etc.;When selecting optimal material method of producing (combination of light, sound, shadow) and presenting Between.
As shown in figure 4, being pierced through cranium galvanic current stimulation device according to the exportable direct current of brain electrical characteristic values described in the present embodiment Sharp, impulse stimulation, sinusoidal stimulation and pseudo- stimulation, the stimulus signal of output is after D/A converter module progress digital-to-analogue conversion through perseverance Source module is flowed, suitable electric current is exported to surface electrode, and act on disturbance of consciousness person's target region.It is filled through cranium galvanic current stimulation Stimulus type, the output direct current electric strength set do dynamic with the change of the control instruction of main control unit and adjust, and output, which fits well on, works as Subconsciousness through cranium galvanic current stimulation.
As shown in figure 5, through cranium galvanic current stimulation device due to acting on human body described in the present embodiment, in order to guarantee The state of work, the transient current of limiting circuit, it is necessary to which additional over-current protects circuit, to improve the stability and peace of whole system Quan Xing.
The current foldback circuit includes NPN type triode T1, sampling resistor R1, pull-up resistor R2, FPGA and capacitor C1, wherein the pole N of NPN type triode T1 is connected with pull-up resistor R2 and FPGA respectively, another N of NPN type triode T1 Pole ground connection, the pole P of NPN type triode T1 is grounded after being connected respectively with sampling resistor R1 and capacitor C1;Protection signal is overcurrent Protect the input signal of circuit, one end of input sample resistance R1 and capacitor C1.
Due to low capacity type electric current and little, current sample is carried out using resistance R1, recycles capacitor C1 and NPN type three Current spike is eliminated in the combination of pole pipe T1.Specific detection process, when protecting signal code excessive, capacitor C1 slowly charges, and adopts Sample resistance R1 generates very high partial pressure, and NPN type triode T1 is switched on, through pull-up resistor R2, FPGA (Field Programmable Gate Array, field programmable gate array) output high level, the output of stimulus waveform is controlled, is reached with this To the effect of current limliting.
Specifically in the present embodiment, the bluetooth unit uses CC2640R2F chip, is applicable to 4.2 and Bluetooth, 5 low-power consumption application, as shown in fig. 6, including main control module, RF core module, common peripheral devices Interface module and sensor control block.Main control module includes one 32Kernel is Core (CM3) is united designed for running Bluetooth Low Energy protocol stack up to user application from link layer.It is set with other bluetooths Standby to compare, Cortex M0 (CM0) kernel of RF core module is responsible for connecting radio hardware, and will come from Cortex M3 (CM3) complicated order of kernel is converted to the bit sent in the sky by radio.Sensor control block is difference and its One unique portion of his BLE SOC chip, it is one 16 single-chip microcontrollers, the M3's and radio frequency box independently of main control unit M0 work can independently realize the data acquisition to external sensor, to protect in the case where system other parts are all turned off The low-power consumption of whole system operation is held, this framework can improve overall system performance and power consumption, and discharge a large amount of flash memories for application, To provide greater flexibility.Peripheral Interface then contain GPIO (General Purpose Input Output, it is general Input/output), timer, UART (Field Programmable Gate Array, field programmable gate array)/SPI (Serial Peripheral Interface, Serial Peripheral Interface (SPI)), I2C, I2S interface and hardware AES (Advanced Encryption Standard, Advanced Encryption Standard) encryption etc. functional interfaces.
Specifically in the present embodiment, the personalized audiovisual stimulating apparatus can receive the brain telecommunications of disturbance of consciousness person Number, and clinical behavior scale is combined, the multi-modal integrated database for being directed to disturbance of consciousness patient is established, is disturbance of consciousness patient Consciousness assessment provide more comprehensively, objective Informational support.
Embodiment two
Present embodiment discloses one kind to be detected and be waken up system, including personalized audiovisual based on the biofeedback type disturbance of consciousness Stimulating apparatus, disturbance of consciousness evaluation module and through cranium galvanic current stimulation device, which provides examine simultaneously Disconnected stimulation and consciousness wake-up scheme;The disturbance of consciousness evaluation module include brain wave acquisition device, integrated simulation front end, main control unit, Bluetooth unit, Power Management Unit;The brain wave acquisition device includes cap, singly leads eeg sensor and reference electrode, singly leads brain electricity Sensor is placed on the inside of cap, is contacted with forehead, and the lower edge connection of reference electrode and cap is clipped at ear lobe;Brain electricity Collector is connected with integrated simulation front end, integrated simulation front end by SPI (Serial Peripheral Interface, serially Peripheral Interface) it is connected with main control unit;Main control unit is controlled by EEG signals characteristic value and different is filled through cranium galvanic current stimulation It sets and personalized audiovisual stimulating apparatus, and eeg data is transferred to by personalized audiovisual stimulating apparatus by bluetooth unit;Through cranium Galvanic current stimulation device exports different stimulus types, output direct current electric strength according to different EEG signals characteristic values;Power supply pipe Reason unit is integrated simulation front end, main control unit, through the power supply of cranium galvanic current stimulation device.
Specifically in the present embodiment, the personalized audiovisual stimulation protocol of the personalized audiovisual stimulating apparatus is based on psychology Principle design is learned, including consciousness assessment, consciousness wake up and two aspects of rehabilitation.In terms of consciousness assessment, personalized audiovisual stimulation Device can be used as diagnostic stimulation, detect disturbance of consciousness person closer to the every physiology of completion under oneself true state of consciousness, Reduce misdiagnosis rate;In terms of consciousness wakes up with rehabilitation, personalized audiovisual stimulating apparatus is according to brain electrical characteristic values dynamic regulation individual character Change the combination of audiovisual stimulation material and the time is presented, has the characteristics that abundant, multi-sensory, close to real scene, more Be conducive to cause the stronger behavior reaction of disturbance of consciousness patient, a kind of rationally effective Novel rehabilitation therapeutic scheme can be become.
Specifically in the present embodiment, the brain wave acquisition device uses the brain wave acquisition scheme of 32 leads, according to cognition The requirement of the difference, case of task records the synchronous discharge activity of each brain area using 32 multi-lead modes, to analyze simultaneously Relationship and feature between each EEG signals;The system includes cap, monopole eeg sensor, reference electrode.
Specifically in the present embodiment, the inside of cap, and the volume with wearer is arranged in the monopole eeg sensor Head skin contact;The reference electrode is connected with the lower edge of cap, and is clipped at the ear-lobe of wearer;
Specifically in the present embodiment, the monopole eeg sensor and reference electrode connect with integrated simulation front end respectively It connects, integrated simulation front end, main control unit and the bluetooth unit are sequentially connected.
Specifically in the present embodiment, the integrated simulation front end uses the ADS1299 chip of TI company, the integrated simulation Front end up to 8 low-noise programmable gain amplifiers (PGA) and 8 high-resolution synchronized sampling analog-digital converters (ADC), contain There are internal reference and onboard oscillator, collected EEG signals are amplified, are filtered and analog-to-digital conversion.
Specifically in the present embodiment, the brain electrical analogue front end includes that multiplexer, filter, low noise gain are put Big device, high-resolution analog-digital converter, biasing driving amplifier, oscillator and serial peripheral equipment interface SPI, the brain electricity patch The EEG signals of electrode acquisition pass through after multiplexer, filter, amplifier and analog-to-digital conversion, by SPI (Serial Peripheral Interface, Serial Peripheral Interface (SPI)) interface is transferred to main control unit.
Specifically in the present embodiment, the main control unit uses MSP430FR5969 processor, for integrated simulation The EEG signals of front-end processing are received, handled and are stored, and EEG signals are transferred to bluetooth and display.
Specifically in the present embodiment, the main control unit carries out EEG Processing, is disappeared first using wavelet package transforms Except low frequency noises, it is then based on the blind source separation algorithm of maximum signal to noise ratio, the artefact for EEG signals is filtered, and is Next step EEG feature extraction and pattern-recognition provide safeguard;Secondly nonlinear dynamic analysis method is used, it will be real-time EEG signals calculate the EEG signals characteristic values such as dynamic Lempel-Ziv complexity, C0 complexity and entropy, these After the clustered parser processing of brain electrical characteristic values, Classification and Identification finally is carried out using support vector machines, it is different by corresponding to Control instruction.
Specifically in the present embodiment, the bluetooth unit uses TI instrument BLE-CC2640R2F chip, for receiving master The EEG signals of unit transmission are controlled, and send personalized audiovisual stimulating apparatus for the EEG signals.
Wherein, bluetooth CC2640R2F chip is applicable to4.2 and Bluetooth, 5 low-power consumption application, It is a wireless microcontroller, and there is peripheral functionality collection abundant, integrated temperature sensor, duration compares device, surpasses Low-power consumption analog comparator etc., including a unique super low-power consumption sensor controller, this sensor is suitble to connection outer Portion's sensor, and analog- and digital- data, institute can be independently collected in the case where system rest part is in sleep pattern To be capable of the eeg data of real-time Transmission patient, if while external brain wave acquisition device do not carry out signal acquisition, bluetooth is automatic Into sleep state.Therefore, CC2640R2F device is as data transmission module, long, the low in energy consumption, body with battery The advantages that product is small.
Specifically in the present embodiment, the consciousness assessment function of disturbance of consciousness person is based on Electrophysiology detection technique (EEG/ ERP), Functional magnetic resonance imaging (fMRI), Positron Emission Computed Tomography technology (PET) and clinical behavior amount The multi-modal integrated database of table.
Specifically in the present embodiment, described through cranium galvanic current stimulation device, using fpga chip (Field Programmable Gate Array, field programmable gate array), personalized audiovisual thorn is adjusted according to real-time brain electrical characteristic values Hormone material and stimulus type through cranium galvanic current stimulation, output direct current electric strength, realize the adaptive of disturbance of consciousness therapeutic scheme It adjusts.
Embodiment three
Present embodiment discloses a kind of based on the detection of the biofeedback type disturbance of consciousness, wakes up the working method of system, comprising:
Step 1: personalized audiovisual stimulating apparatus carries out consciousness stimulation to disturbance of consciousness person;
Step 2: integrated simulation front end connection brain wave acquisition device acquires disturbance of consciousness person's EEG signals;
Step 3: above-mentioned signal is received by main control unit, handles to obtain brain electrical characteristic values and stored;
Step 4: being wirelessly transmitted to personalized audiovisual by bluetooth unit stimulates by the brain electrical characteristic values in above-mentioned steps Device;
Step 5: the brain electrical characteristic values in above-mentioned steps are combined the multi-modal comprehensive number in personalized audiovisual stimulating apparatus According to library, the state of consciousness of disturbance of consciousness person is fully assessed;
Step 6: dynamic regulation personalization audiovisual stimulates the combination of material according to the real-time assessment result in above-mentioned steps Time and stimulus type, output direct current electric strength through cranium galvanic current stimulation is presented in mode, automatic adjusument disturbance of consciousness person's Wake-up scheme.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention, It should be equivalent substitute mode, be included within the scope of the present invention.

Claims (9)

1. a kind of biofeedback type disturbance of consciousness detection and wake-up system, which is characterized in that the system includes personalized view It listens stimulating apparatus, disturbance of consciousness evaluation module and through cranium galvanic current stimulation device, the disturbance of consciousness evaluation module includes brain Electric collector, integrated simulation front end, main control unit, bluetooth unit, Power Management Unit, wherein the brain wave acquisition device is logical It crosses electrode and USB interface to be connected with integrated simulation front end, the integrated simulation front end is connected by SPI with main control unit, institute The main control unit stated is connected by UART with the bluetooth unit, and the bluetooth unit and the personalized audiovisual stimulate The eeg data of main control unit is transferred to personalized audiovisual by bluetooth unit and is pierced by device by bluetooth wireless information interaction Excitation device controls different personalized audiovisual stimulation protocols,
Described connect through cranium galvanic current stimulation device with the main control unit, is adjusted according to the brain electrical characteristic values of main control unit Personalized audiovisual stimulates material and stimulus type, output direct current electric strength through cranium galvanic current stimulation, wherein described straight through cranium The stimulus type of galvanic shock includes stimulus of direct current, impulse stimulation, sinusoidal stimulation and pseudo- stimulation.
2. a kind of biofeedback type disturbance of consciousness detection according to claim 1 and wake-up system, which is characterized in that described Personalized audition stimulation protocol designed based on psychological principle, by collecting and screening disturbance of consciousness person's relevant memory letter Breath selects optimal light, sound, the combination of shadow and presentation time, wherein recall info includes that disturbance of consciousness person most likes , the most deep people of memory, object, thing.
3. a kind of biofeedback type disturbance of consciousness detection according to claim 1 and wake-up system, which is characterized in that described Disturbance of consciousness evaluation module further include Power Management Unit, the Power Management Unit be integrated simulation front end, master control list Member is powered through cranium galvanic current stimulation device.
4. a kind of biofeedback type disturbance of consciousness detection according to claim 1 and wake-up system, which is characterized in that described Brain wave acquisition device include cap, monopole eeg sensor, reference electrode, wherein the described monopole eeg sensor setting exists The inside of cap, and the forehead skin contact with wearer;The reference electrode is connected with the lower edge of cap, and is clipped in wearing At the ear-lobe of person;The reference electrode is brain electricity patch electrode;
The monopole eeg sensor and reference electrode are connect with integrated simulation front end respectively.
5. a kind of biofeedback type disturbance of consciousness detection according to claim 1 and wake-up system, which is characterized in that described Integrated simulation front end select the ADS1299 chip of TI company, including sequentially connected multiplexer, detection components, filtering Device, low noise gain amplifier, high-resolution analog-digital converter, biasing driving amplifier, oscillator and Serial Peripheral Interface (SPI) SPI,
Collected EEG signals are amplified, filter and analog-to-digital conversion after master control is transferred to by serial peripheral equipment interface SPI Unit.
6. a kind of biofeedback type disturbance of consciousness detection according to claim 1 and wake-up system, which is characterized in that described Include D/A converter module, constant current source module and surface electrode through cranium galvanic current stimulation device, this is through cranium galvanic current stimulation Device exports stimulus of direct current, impulse stimulation, sinusoidal stimulation and pseudo- stimulation, the stimulation of output according to the brain electrical characteristic values of main control unit Signal, through constant current source module, suitable electric current is exported to surface electrode after D/A converter module carries out digital-to-analogue conversion, and Act on disturbance of consciousness person's target region.
7. a kind of biofeedback type disturbance of consciousness detection according to claim 6 and wake-up system, which is characterized in that described Further include current foldback circuit for limiting circuit transient current through cranium galvanic current stimulation device, the overcurrent protection electricity Road includes NPN type triode T1, sampling resistor R1, pull-up resistor R2, FPGA and capacitor C1, wherein the one of NPN type triode T1 The pole N is connected with pull-up resistor R2 and FPGA respectively, another pole N ground connection of NPN type triode T1, the pole P of NPN type triode T1 It is grounded after being connected respectively with sampling resistor R1 and capacitor C1;Protecting signal is the input signal of current foldback circuit, and input is adopted One end of sample resistance R1 and capacitor C1;
When protecting signal code excessive, capacitor C1 slowly charges, and sampling resistor R1 generates high partial pressures, NPN type triode T1 quilt Conducting exports high level, controls the output of stimulus waveform, have the function that current limliting with this through pull-up resistor R2, FPGA.
8. a kind of biofeedback type disturbance of consciousness detection according to claim 1 and wake-up system, which is characterized in that described Main control unit carry out EEG Processing, first using wavelet package transforms eliminate low frequency noises, be then based on maximum letter It makes an uproar the blind source separation algorithm of ratio, the artefact for EEG signals is filtered;Secondly nonlinear dynamic analysis method is used, it will Real-time EEG signals calculate the EEG signals including dynamic Lempel-Ziv complexity, C0 complexity and entropy Characteristic value finally carries out Classification and Identification using support vector machines after the clustered parser processing of above-mentioned brain electrical characteristic values, right It should obtain different control instructions.
9. a kind of biofeedback type disturbance of consciousness detection according to claim 1 and wake-up system, which is characterized in that described Bluetooth unit use TI instrument BLE-CC2640R2F chip.
CN201811010291.7A 2018-08-31 2018-08-31 The detection of the biofeedback type disturbance of consciousness and wake-up system Pending CN109009103A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811010291.7A CN109009103A (en) 2018-08-31 2018-08-31 The detection of the biofeedback type disturbance of consciousness and wake-up system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811010291.7A CN109009103A (en) 2018-08-31 2018-08-31 The detection of the biofeedback type disturbance of consciousness and wake-up system

Publications (1)

Publication Number Publication Date
CN109009103A true CN109009103A (en) 2018-12-18

Family

ID=64623022

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811010291.7A Pending CN109009103A (en) 2018-08-31 2018-08-31 The detection of the biofeedback type disturbance of consciousness and wake-up system

Country Status (1)

Country Link
CN (1) CN109009103A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109717866A (en) * 2019-02-28 2019-05-07 温州大学 A kind of disturbance of consciousness diagnostic method based on EEG signals
CN109864750A (en) * 2019-01-31 2019-06-11 华南理工大学 Based on the state of mind assessment and regulating system and its working method stimulated through cranium
CN110269611A (en) * 2019-07-31 2019-09-24 上海诺诚电气股份有限公司 The monitoring of patient's disturbance of consciousness degree, early warning system and method
CN113116306A (en) * 2021-04-21 2021-07-16 复旦大学 Consciousness disturbance auxiliary diagnosis system based on auditory evoked electroencephalogram signal analysis
CN117595882A (en) * 2024-01-19 2024-02-23 景昱医疗科技(苏州)股份有限公司 Signal acquisition circuit, contact combination method, stimulator and implantable medical system

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6547746B1 (en) * 2001-08-27 2003-04-15 Andrew A. Marino Method and apparatus for determining response thresholds
US20050149144A1 (en) * 2003-12-31 2005-07-07 David Siever Stimulation of central nervous system
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
CN102820638A (en) * 2012-08-09 2012-12-12 深圳市九洲电器有限公司 Overcurrent protection device and electronic equipment
US20130281759A1 (en) * 2010-01-06 2013-10-24 Evoke Neuroscience, Inc. Transcranial stimulation device and method based on electrophysiological testing
CN103876736A (en) * 2014-04-11 2014-06-25 北京工业大学 Complexity spectrum electroencephalographic prediction and diagnosis method based on power spectrum division
CN104545899A (en) * 2014-12-23 2015-04-29 华南理工大学 Senile dementia monitoring system based on mobile internet
CN105147281A (en) * 2015-08-25 2015-12-16 上海医疗器械高等专科学校 Portable stimulating, awaking and evaluating system for disturbance of consciousness
CN106861040A (en) * 2017-02-16 2017-06-20 中国人民解放军第四军医大学 A kind of brain damage reparation and the method and apparatus of reconstruction
CN209107350U (en) * 2018-08-31 2019-07-16 华南理工大学 The detection of the biofeedback type disturbance of consciousness and wake-up system

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6547746B1 (en) * 2001-08-27 2003-04-15 Andrew A. Marino Method and apparatus for determining response thresholds
US20050149144A1 (en) * 2003-12-31 2005-07-07 David Siever Stimulation of central nervous system
US20130281759A1 (en) * 2010-01-06 2013-10-24 Evoke Neuroscience, Inc. Transcranial stimulation device and method based on electrophysiological testing
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
CN102820638A (en) * 2012-08-09 2012-12-12 深圳市九洲电器有限公司 Overcurrent protection device and electronic equipment
CN103876736A (en) * 2014-04-11 2014-06-25 北京工业大学 Complexity spectrum electroencephalographic prediction and diagnosis method based on power spectrum division
CN104545899A (en) * 2014-12-23 2015-04-29 华南理工大学 Senile dementia monitoring system based on mobile internet
CN105147281A (en) * 2015-08-25 2015-12-16 上海医疗器械高等专科学校 Portable stimulating, awaking and evaluating system for disturbance of consciousness
CN106861040A (en) * 2017-02-16 2017-06-20 中国人民解放军第四军医大学 A kind of brain damage reparation and the method and apparatus of reconstruction
CN209107350U (en) * 2018-08-31 2019-07-16 华南理工大学 The detection of the biofeedback type disturbance of consciousness and wake-up system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109864750A (en) * 2019-01-31 2019-06-11 华南理工大学 Based on the state of mind assessment and regulating system and its working method stimulated through cranium
CN109717866A (en) * 2019-02-28 2019-05-07 温州大学 A kind of disturbance of consciousness diagnostic method based on EEG signals
CN110269611A (en) * 2019-07-31 2019-09-24 上海诺诚电气股份有限公司 The monitoring of patient's disturbance of consciousness degree, early warning system and method
CN113116306A (en) * 2021-04-21 2021-07-16 复旦大学 Consciousness disturbance auxiliary diagnosis system based on auditory evoked electroencephalogram signal analysis
CN117595882A (en) * 2024-01-19 2024-02-23 景昱医疗科技(苏州)股份有限公司 Signal acquisition circuit, contact combination method, stimulator and implantable medical system

Similar Documents

Publication Publication Date Title
CN109009103A (en) The detection of the biofeedback type disturbance of consciousness and wake-up system
WO2017075856A1 (en) Wavelet analysis-based remote electrocardiogram monitoring and warning system and method
US20090247894A1 (en) Systems and Methods For Neurological Evaluation and Treatment Guidance
CN209107350U (en) The detection of the biofeedback type disturbance of consciousness and wake-up system
CN107788976A (en) Sleep monitor system based on Amplitude integrated electroencephalogram
CN106345034A (en) Device based on brain electricity acquisition terminal for cognitive emotion regulation
US20110137189A1 (en) Physiological signal sensing system without time and place contraint and its method
CN102671276A (en) Intelligent awakening system based on electroencephalogram signal
CN105852804A (en) Portable anesthesia depth monitor
CN105997050A (en) Wearable non-contact electrocardio acquisition device and non-contact electrocardio acquisition method
CN202262995U (en) Psychological tester combining relaxation training
CN109091141A (en) A kind of sleep quality monitor and its monitoring method based on brain electricity and eye electricity
CN104102348A (en) Control system and method of electronic device
CN104138258A (en) Portable electroencephalographic and electromyographic signal synchronous acquisition device
CN110464344A (en) The method for collecting the device of eeg signal acquisition and music and its playing music
CN103830885A (en) Portable action command control device and method based on vital sign signals
CN112438733A (en) Portable neonatal convulsion electroencephalogram monitoring system
CN110367975A (en) A kind of fatigue driving detection method for early warning based on brain-computer interface
CN201404215Y (en) Portable minitype electromyography evoked potential instrument
CN105125186A (en) Method and system for determining intervention treatment mode
CN103690179B (en) Wearable electroencephalogram relaxation training instrument
Chang et al. A versatile wireless portable monitoring system for brain–behavior approaches
CN201968675U (en) ARM (Advanced RISC Machine)-based body surface stomach electric signal collecting analyzer
CN110491498A (en) A kind of data receiver and processing method of brain wave signal
CN104586425A (en) Wearing-type fetal heart sound monitoring instrument based on multi-angle stethoscope array

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination