CN205964038U - Wearing formula multimode brain function detecting device based on NIRS EEG - Google Patents
Wearing formula multimode brain function detecting device based on NIRS EEG Download PDFInfo
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- CN205964038U CN205964038U CN201620422907.1U CN201620422907U CN205964038U CN 205964038 U CN205964038 U CN 205964038U CN 201620422907 U CN201620422907 U CN 201620422907U CN 205964038 U CN205964038 U CN 205964038U
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Abstract
The utility model discloses a wearing formula multimode brain function detecting device based on NIRS EEG, including NIRS EEG detecting element, ultra -low power consumption the control unit, state tip unit, bluetooth communication unit, key input unit and power supply unit, ultra -low power consumption the control unit respectively with NIRS do EEG detecting element, state tip unit and bluetooth communication unit link to each other, through SPI interface and NIRS EEG detecting element carries out data command communication, carries out data transmission through UART serial port communication protocol with the bluetooth communication unit and communicates, and the bluetooth communication unit carries out the control unit 1 with received data transmission to the control unit 0, key input unit links to each other with power supply unit, is power supply unit used for for NIRS EEG detecting element, ultra -low power consumption the control unit, state tip unit and the power supply of bluetooth communication unit to carry out power supply protection and power management. The utility model discloses have good travelling comfort, be convenient for carry on the anytime and anywhere monitoring of occasions such as brain cognitive function, nerve and mental illness, sleep and fatigue state.
Description
Technical field
This utility model is related to a kind of brain function detection device, and especially a kind of Wearable based on NIRS-EEG is multi-modal
Brain function detection device, belongs to cognitive neuroscience field and vital sign parameter detection means research field.
Background technology
With the raising of people's living standard, the health perception of people increasingly strengthens, with regard to the health in spiritual emotion field
Prevention consciousness is especially prominent, and the demand of zero load detection physiological parameter also occurs therewith whenever and wherever possible, and in recent years, multi-mode is recognized
Know that functional imaging has been increasingly becoming a study hotspot of Modern Cognitive neuroscience field, by the knot of several different technologies
Close utilization and can obtain more, more valuable information.Wherein, electroencephalogram (Electro Encephalo Gram, EEG) is permissible
The neururgic signal of telecommunication of direct measurement, record a certain specific event related potential (Event-related Potentials,
ERP)；Near-infrared spectrum technique (Near-infrared Spectroscopy, NIRS) can be anti-with the temporal resolution of ms level
Reflect and activated the related hemodynamic parameter change information of situation to cerebral cortex.Two methods R. concomitans, have very
Wide application prospect.Be combined with EEG brain electro-detection function phase with by NIRS brain blood oxygen detection function, can be with real-time monitoring brain
The oxygen-containing hemoglobin of tissue and the content of reduced hemoglobin, and the EEG signals of real-time monitoring brain, and then assess big
Brain cognitive function state, convenient use person automatically analyzes rear result by system and carries out self health Evaluation, takes early
Controlling measurement unhealthy emotion and the stress reducing itself.
Brain be all thinking activitiess for example intelligence, observational ability, attention, memory, contemplative faculty, imaginative power, study obtain,
The cognition and comprehension, judging and deducing, comprehensive analysis, language performance, social activity, the physiological foundation of consciousness emotion.Cerebral cortex
(cerebral cortex), it probably there are about 14,000,000,000 neurons, and the physiological foundation of information processing is mutual between neuron
Communication for information, has substantial amounts of blood vessel so that teleneuron can obtain nutriment in time in cortex, thus ensureing that human body is real-time
Stimulate to external world and make a response.In occupation of the 25% of Whole body oxygen consumption, anoxia leads to cerebral lesion, Cheng Ren to the oxygen consumption of brain
About 2000 liters of the blood of brain is flowed through in one day.So research brain blood oxygenation information is of great importance to brain function analysis.
The structure of brain and the relation of cerebration are the main study subjects of Modern Cognitive neuroscience, need various prisons
Survey the non-intrusion measurement technology of cerebration.Existing brain function signal detection technique mainly includes positron emission fault
Scanning (positron emission tomography, PET), single-photon emission tomography (single positron
Emission computed tomography, SPECT), functional mri (funvtional magnetic
Resonance imaging, fMRI), electroencephalogram (electroencephalography, EEG) and event related potential
(event-related potential, ERP), and near infrared spectroscopy (near-infrared spectroscopy,
NIRS) etc..And different brain function signal detection techniques is each advantageous and not enough in terms of temporal resolution and spatial resolution
Part, in order to overcome the limitation of independent imaging technique, by the combination of several different technologies, plays the multimode of various technical advantages
The imaging of formula cognitive function is progressively becoming a study hotspot of Modern Cognitive neuroscience field.And in cognitive neuroscience
Research in, brain electricity (EEG/ERP) method can reflect dynamic cognitive process, near infrared spectroscopy (NIRS) is able to ensure that tested
It is in more natural Cognitive Processing state, facilitate implementation and test is repeated several times in cognitive course.Therefore brain electricity (EEG) with
Near-infrared spectrum technique (NIRS) combines, by with reference to Wearable detection technique, can significantly more efficient promotion brain function examining
The application surveyed.
At present, brain electricity (EEG) detection function and near-infrared spectrum technique (NIRS) brain blood oxygen detection function are generally found from doctor
In the middle of the monitor in shield place, provide a kind of objective vital sign parameter for monitoring, health assessment, however, on market simultaneously
There is not the product that two kinds of technology combine, existing brain electro-detection product detects product not only volume with near-infrared light-brain blood oxygen
Greatly, the passage that leads is many, wiring trouble, and operation inconvenience, comfort level are poor, more can cause tension when detecting, bring to tester
Mental pressure and physiological stress, thus leading to result distortion, and these testing equipments have focused largely on inside large hospital, unfavorable
Carry out detection and the understanding to itself brain health of brain function in user whenever and wherever possible.
Utility model content
The purpose of this utility model is the defect in order to solve above-mentioned prior art, there is provided a kind of based on NIRS-EEG's
The multi-modal brain function detection device of Wearable, this device is worn on the forehead of user's head, has good comfortable during wearing
Property, it is convenient for the monitoring whenever and wherever possible of the occasions such as big brain cognitive function, nerve and mental sickness, sleep and fatigue state.
The purpose of this utility model can be reached by adopting the following technical scheme that：
The multi-modal brain function detection device of Wearable based on NIRS-EEG, including NIRS-EEG detector unit, ultralow work(
Consumption control unit, condition prompting unit, bluetooth communication unit, key-press input unit and power supply power supply unit；
Described NIRS-EEG detector unit is used for gathering brain blood oxygen signal and the EEG signals of user's brain；
Described super low-power consumption control unit respectively with NIRS-EEG detector unit, condition prompting unit and bluetooth communication unit
It is connected, super low-power consumption control unit carries out data command communication by SPI interface and NIRS-EEG detector unit, and controls
The working method of NIRS-EEG detector unit, super low-power consumption control unit passes through UART serial port communicating protocol and bluetooth communication unit
Carry out data transmission communicating, the data is activation receiving to mobile terminal is carried out subsequent treatment by bluetooth communication unit；
Described key-press input unit is connected with power supply power supply unit, and described power supply power supply unit is used for as NIRS-EEG detection
Unit, super low-power consumption control unit, condition prompting unit and bluetooth communication unit are powered, and carry out power supply protection and power supply pipe
Reason.
Preferably, described NIRS-EEG detector unit adopts single channel NIRS to detect brain blood oxygen signal, and using singly leading
Connection EEG detection EEG signals, this NIRS-EEG detector unit includes NIRS probe, brain electricity patch electrode, brain blood oxygen integrated simulation
Front end and brain are electrically integrated AFE (analog front end), and described NIRS probe includes light emitting diode and reception diode, described light-emitting diodes
Pipe, reception diode and brain electricity patch electrode are placed in the forehead of user, and described reception diode receives light emitting diode and sent
Reflected light after acting on through brain tissue for the near infrared light, described NIRS probe is connected with brain blood oxygen integrated simulation front end, institute
State brain electricity patch electrode to be electrically integrated AFE (analog front end) with brain and be connected, described brain blood oxygen integrated simulation front end and brain are electrically integrated AFE (analog front end)
Integrate, make NIRS-EEG detector unit constitute multi-modal brain function detector unit.
Further, described brain blood oxygen integrated simulation front end includes LED driving circuit, time controller, filtering
Device, amplifier, trigonometric integral analog-digital converter and SPI interface, described LED driving circuit is used for driven for emitting lights two
Pole pipe, described time controller is used for controlling light emitting diode alternately luminous according to certain sequential, and described reception diode receives
Reflected light signal after filtering device, amplifier, after trigonometric integral analog-digital converter, super low-power consumption control is transferred to by SPI interface
Unit processed.
Further, described brain be electrically integrated AFE (analog front end) include driven-right-leg circuit, wave filter, programmable instrumentation amplify
Device, trigonometric integral analog-digital converter and SPI interface, the EEG signals of described brain electricity patch electrode collection are through right leg drive electricity
Road, wave filter, programmable instrumentation amplifier, after trigonometric integral analog-digital converter, by SPI interface be transferred to super low-power consumption control single
Unit.
Preferably, to include central processing unit, universal peripheral interface module, clock fixed for described super low-power consumption control unit
When interrupt module, ferroelectric RAM module, jtag interface and communication interface modules；Described central processing unit passes through logical
Receive the data from NIRS-EEG detector unit and bluetooth communication unit with peripheral interface module or communication interface modules
Information, carries out integration process to data, then carries out judging decision-making and storing data in ferroelectric RAM module
In, the transmitting-receiving that described central processing unit is instructed by communication interface modules, and then control the work of NIRS-EEG detector unit
Make mode, realize different detection functions.
Further, described ferroelectric RAM module is using integrating depositing of flash memory and SRAM optkmal characteristics
Reservoir technology, supports quick and low-power consumption write, can resist radiation and electromagnetic field, and be not easily susceptible to attacker's attack and ensure number
Function according to safety.
Further, described communication interface modules includes I2C bus, CAN, UART serial ports and SPI interface, for not
Communication interface between congenerous unit requires.
Preferably, described bluetooth communication unit includes Anneta module, link control module, link management module and bluetooth
Protocol module, described link management module is connected with Anneta module and link control module respectively, and described Bluetooth protocol module is divided
It is not connected with Anneta module and link management module.
Preferably, described power supply power supply unit includes power source charges module, power management module and the LDO electricity being sequentially connected
Source output module, exports power supply using multipath LDO, reduces the power supply noise of analog circuit, eliminate between each unit power supply
Influence each other, have simultaneously power protection and management function, improve the safety of Wearable product.
Preferably, described condition prompting unit is status indicator lamp, according to the flicker state of status indicator lamp, for brain work(
The state of energy is reminded；Described key-press input unit is key switch, after the switch that pushes button, inputs key switch signal, controls
Power supply power supply unit is that NIRS-EEG detector unit, super low-power consumption control unit, condition prompting unit and bluetooth communication unit carry
For running voltage.
Further, integrated simulation front-end A FE4400 of TI company is selected in described brain blood oxygen integrated simulation front end, for brain
The sampling of oximetry data and analog-to-digital conversion process, by carrying out data transmission between SPI interface and super low-power consumption control unit；Institute
State brain and be electrically integrated integrated simulation front-end A/D S1291 that AFE (analog front end) selects TI company, sampling and modulus for eeg data turn
Change process, by carrying out data transmission between SPI interface and super low-power consumption control unit；Described super low-power consumption control unit is selected
The super low-power consumption microprocessor MSP430FR5969 of TI company, the flexible standby interruption awakening mode configuring microprocessor, pole
The earth reduces power consumption when equipment runs, and extends the stand-by time of equipment；Described bluetooth communication unit adopts TI company
CC2541 chip, this chip adopts bluetooth 4.1 standard, supports that many moneys equipment is connected on a bluetooth equipment, possesses and voluntarily swash
Live and sleep control function, support that IPV6 is special and connect to the internet function with generation, improve the motility of equipment connection, reduce
Interference between LTE network, the bluetooth equipment below compatible bluetooth 4.1 version, both can guarantee that high-speed transfer, power consumption mistake can have been solved again
Big problem；Each formant all carries out circuit design using the chip of TI company, the parameter unification between each chip, reduces
The unnecessary interference that discrete device introduces, improves the accuracy of whole detection device.
This utility model has following beneficial effect with respect to prior art：
1st, the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present utility model adopts Wearable to detect
Technology, in conjunction with near-infrared spectrum technique (NIRS) and brain electricity (EEG) detection technique to gather user's brain brain blood oxygen signal and
EEG signals, can largely enrich and improve precision during brain function cognitive activities infomation detection and accuracy, portable
Comfortable, light compact, facilitate user and carry out brain function infomation detection whenever and wherever possible, be that user brings preferably medical treatment experience.
2nd, in the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present utility model, super low-power consumption controls
Unit adopts super low-power consumption Technology design, from the super low-power consumption microprocessor MSP430FR5969 of TI company, flexible configuration
The standby interruption awakening mode of microprocessor, greatly reduces power consumption when equipment runs, extends the stand-by time of equipment.
3rd, in the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present utility model, super low-power consumption controls
Unit adopts new non-volatile memory technologies, embedded ferroelectric RAM module, has requiring rapid data read/writing, low
Power consumption, high life, the function of electromagnetic field and radiation can be resisted.
4th, in the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present utility model, NIRS-EEG detects
Unit carries out data acquisition using the integrated simulation front end of TI company, and flexible working mode is changeable, and sampling precision is high, and error is little,
Low in energy consumption, device board level space is greatly reduced using integrated technology, improves portability and the comfortableness of Wearable product.
5th, in the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present utility model, power supply power supply unit
Power supply is exported using multipath LDO, reduces the power supply noise of analog circuit, eliminate influencing each other between each unit power supply,
There is power protection and the function of management, improve the safety of Wearable product.
6th, in the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present utility model, bluetooth communication unit
Using bluetooth 4.1 standard, support that many moneys equipment is connected on a bluetooth equipment, possess from line activating and sleep control function,
Support that IPV6 is special to improve the motility of equipment connection, reduce the interference between LTE network with for the function that connects to the internet, and
Hold the bluetooth equipment of below bluetooth 4.1 version, both can guarantee that high-speed transfer, and can solve the problems, such as that power consumption is excessive again.
7th, in the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present utility model, by bluetooth communication
The data is activation that brain function detection device gathers can be carried out subsequent treatment to mobile terminal application by unit, enrich follow-up work(
Applicable exploitation, is easy to user and understands the brain function cognitive assessment of itself whenever and wherever possible.
8th, in the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present utility model, each formant
All circuit design is carried out using the chip of TI company, the unification of parameter between each chip, reduce discrete device introducing need not
Disturb, improve the accuracy of whole detection device.
Brief description
Fig. 1 is the structure of the multi-modal brain function detection device of the Wearable based on NIRS-EEG of this utility model embodiment
Block diagram.
Fig. 2 is the installation of the multi-modal brain function detection device of the Wearable based on NIRS-EEG of this utility model embodiment
The location drawing.
Fig. 3 is the workflow of the NIRS-EEG detector unit midbrain blood oxygen integrated simulation front end of this utility model embodiment
Figure.
Fig. 4 is that the NIRS-EEG detector unit midbrain of this utility model embodiment is electrically integrated the workflow of AFE (analog front end)
Figure.
Fig. 5 is the structured flowchart of the bluetooth communication unit of this utility model embodiment.
Fig. 6 is the workflow diagram of the super low-power consumption control unit of this utility model embodiment.
Specific embodiment
With reference to embodiment and accompanying drawing, this utility model is described in further detail, but enforcement of the present utility model
Mode not limited to this.
Embodiment 1：
As shown in figure 1, the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present embodiment includes
NIRS-EEG detector unit, super low-power consumption control unit, condition prompting unit, bluetooth communication unit, key-press input unit and
Power supply power supply unit；Described super low-power consumption control unit is led to NIRS-EEG detector unit, condition prompting unit and bluetooth respectively
News unit is connected.
As shown in Fig. 2 the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present embodiment is using wearing
Formula detection technique, by the utilization of integrated simulation front end, is greatly reduced the plate level space of equipment, contributes to Wearable detection skill
The realization of art, in conjunction with near-infrared spectrum technique (NIRS) and electroencephalogram (EEG) detection technique, is worn on the forehead of user, simultaneously
Carry out the detection of brain blood oxygen and EEG signals, described NIRS-EEG detector unit be used for gather user's brain brain blood oxygen signal and
EEG signals, it adopts single channel NIRS detection brain blood oxygen signal, and using EEG detection EEG signals of singly leading；This NIRS-
EEG detector unit includes NIRS probe, brain electricity patch electrode, brain blood oxygen integrated simulation front end and brain and is electrically integrated AFE (analog front end),
Described NIRS probe includes light emitting diode and reception diode, described light emitting diode, reception diode and brain electricity paster electricity
Pole is placed in the forehead of user, and described reception diode receives the sent near infrared light of light emitting diode and acting on through brain tissue
Reflected light afterwards, described NIRS probe is connected with brain blood oxygen integrated simulation front end, and described brain electricity patch electrode is electrically integrated mould with brain
Intend front end to be connected, described brain blood oxygen integrated simulation front end and brain are electrically integrated AFE (analog front end) and integrate, so that NIRS-EEG is detected
Unit constitutes multi-modal brain function detector unit.
The AFE4400 of TI (Texas Instruments, Texas Instrument) company is selected in described brain blood oxygen integrated simulation front end
Chip, the sampling for brain oximetry data and analog-to-digital conversion process, by SPI interface (Serial Peripheral
Interface, Serial Peripheral Interface (SPI)) carry out data transmission and super low-power consumption control unit between, it includes light emitting diode and drives
Galvanic electricity road, time controller, wave filter, amplifier, trigonometric integral (delta-sigma) analog-digital converter (ADC) and SPI interface, institute
State LED driving circuit for driven for emitting lights diode, described time controller is used for controlling light emitting diode according to one
Timing sequence is alternately luminous, and device, amplifier, trigonometric integral modulus turn the reflected light signal that described reception diode receives after filtering
After parallel operation, super low-power consumption control unit is transferred to by SPI interface.
As shown in figure 3, the workflow of the brain blood oxygen integrated simulation front end of the present embodiment is as follows：
The clock frequency control LED driving circuit that brain blood oxygen integrated simulation front end is set by time controller,
Light the light emitting diode in front of forehead, make light emitting diode timesharing send the near infrared light brain forehead group of specific wavelength
Knit, reception diode receives the light intensity signal after brain tissue's effect, through amplifying, filtering and trigonometric integral (delta-sigma)
After analog digital conversion, generate the detection data of brain blood oxygen, by the SPI interface of brain blood oxygen integrated simulation front end by the brain collecting blood
Oxygen signal data is transferred to super low-power consumption control unit.
Described brain is electrically integrated integrated simulation front-end A/D S1291 that AFE (analog front end) selects TI company, adopting for eeg data
Sample and analog-to-digital conversion process, by carrying out data transmission between SPI interface and super low-power consumption control unit, it includes right leg drive
Circuit (RDL), wave filter, programmable instrumentation amplifier (PGA), trigonometric integral (delta-sigma) analog-digital converter (ADC) and SPI
Interface, the EEG signals of described brain electricity patch electrode collection through driven-right-leg circuit, wave filter, programmable instrumentation amplifier,
After trigonometric integral analog-digital converter, super low-power consumption control unit is transferred to by SPI interface.
As shown in figure 4, the workflow that the brain of the present embodiment is electrically integrated AFE (analog front end) is as follows：
The eeg data of brain electricity patch electrode collection is electrically integrated the driven-right-leg circuit of AFE (analog front end) through brain, then carries out
After filtering, processing and amplifying, by trigonometric integral (delta-sigma) analog digital conversion, generate EEG signals data, mould is electrically integrated by brain
The EEG signals collecting data is transferred to super low-power consumption control unit by the SPI interface intending front end.
Described super low-power consumption control unit selects the super low-power consumption microprocessor MSP430FR5969 of TI company, flexibly joins
Put the standby interruption awakening mode of microprocessor, greatly reduce equipment run when power consumption, extend equipment standby when
Between, this super low-power consumption control unit includes central processing unit, universal peripheral interface module, tick time interrupt module, ferrum
Electric random access memory modules (Ferromagnetic Random Access Memory, FRAM), jtag interface and communication
Interface module；Described central processing unit passes through universal peripheral interface module or communication interface modules receives and is derived from NIRS-EEG
Detector unit and the data message of bluetooth communication unit, carry out integration process to data, then carry out judging decision-making and by data
It is stored in ferroelectric RAM module, the transmitting-receiving that described central processing unit is instructed by communication interface modules,
And then the working method of control NIRS-EEG detector unit, realize different detection functions；Wherein, super low-power consumption control unit is led to
Cross SPI interface and carry out data command communication, by UART (Universal Asynchronous with NIRS-EEG detector unit
Receiver/Transmitter, universal asynchronous receiving-transmitting transmitter) serial port communicating protocol carries out data with bluetooth communication unit
Transmission communication.
Ferroelectric RAM module in described super low-power consumption control unit is most preferably special using collection flash memory and SRAM
Property in the memory technology of one, support quick and low-power consumption write, can resist and radiate and electromagnetic field, and be not easily susceptible to attacker
Attack the function with assuring data security.
Described communication interface modules in described super low-power consumption control unit includes I2C(Inter-Integrated
Circuit, internal integrated circuit) bus, CAN (Controller Area Network, controller local area network) bus,
UART serial ports and SPI interface, require for the communication interface between different function units.
Described bluetooth communication unit adopts the CC2541 chip of TI company, and this chip adopts bluetooth 4.1 standard, supports many moneys
Equipment is connected on a bluetooth equipment, possesses from line activating and sleep control function, supports that IPV6 is special and connects to the internet with generation
Function, improves the motility of equipment connection, reduces the interference between LTE network, the bluetooth below compatible bluetooth 4.1 version sets
Standby, both can guarantee that high-speed transfer, and can solve the problems, such as that power consumption is excessive again.
As shown in figure 5, described bluetooth communication unit is used for subsequently being located the data is activation receiving to mobile terminal
Reason, it includes Anneta module, link control module, link management module and Bluetooth protocol module, described link management module
Be connected with Anneta module and link control module respectively, described Bluetooth protocol module respectively with Anneta module and link management module
Be connected, link management module is passed through Bluetooth protocol module and can be carried out data encryption, encrypted after data by Anneta module
It is transmitted and receive.
As shown in fig. 6, the workflow of the super low-power consumption control unit of the present embodiment is as follows：
Super low-power consumption control unit sends Bluetooth connection request first by initialization function, after successful connection, right
The integrated simulation front end (brain blood oxygen integrated simulation front end and brain are electrically integrated AFE (analog front end)) of NIRS-EEG detector unit is deposited
Device configures, and makes integrated simulation front end be operated in low-power consumption brain blood oxygen and EEG signals detection mode, after configuration completes, by
Disconnected carry out brain function detection device wear detection, open NIRS-EEG detection function after wearing brain function detection device, enter
Enter ancillary equipment terminal and wait function, trigger peripheral interrupt signal saltus step after brain blood oxygen and EEG signals data genaration, enter number
According to router, the data is activation receiving is sent to mobile terminal application to bluetooth communication unit by super low-power consumption control unit
Bluetooth receptions end, so far, complete the data transmit-receive of a cycle.
Described condition prompting unit is status indicator lamp, according to the flicker state of status indicator lamp, for the shape of brain function
State is reminded；Described key-press input unit is key switch, and it is connected with power supply power supply unit, pushes button after switch, input is pressed
Key switch signal, control power supply power supply unit be NIRS-EEG detector unit, super low-power consumption control unit, condition prompting unit and
Bluetooth communication unit provides running voltage；Described power supply power supply unit includes power source charges module, the power management being sequentially connected
Module and LDO (low dropout regulator, low pressure difference linear voltage regulator) power supply output module, using multipath LDO output
Power supply, reduces the power supply noise of analog circuit, eliminates influencing each other between each unit power supply, have power protection simultaneously
With the function of management, improve the safety of Wearable product.
Mobile terminal in above-described embodiment can be smart mobile phone, panel computer, PDA handheld terminal etc..
In sum, the multi-modal brain function detection device of the Wearable based on NIRS-EEG of the present utility model is using wearing
Formula detection technique, to gather the brain blood oxygen of user's brain in conjunction with near-infrared spectrum technique (NIRS) and brain electricity (EEG) detection technique
Signal and EEG signals, can largely enrich and improve precision during brain function cognitive activities infomation detection and accurately
Property, portable comfortable, light compact, facilitating user carries out brain function infomation detection whenever and wherever possible, is that user brings more preferable doctor
Treat experience.
The above, only this utility model patent preferred embodiment, but the protection domain of this utility model patent is simultaneously
It is not limited to this, in scope disclosed in this utility model patent for any those familiar with the art, according to this
The technical scheme of utility model patent and its utility model design in addition equivalent or change, broadly fall into this utility model patent
Protection domain.
Claims (10)
1. the multi-modal brain function detection device of the Wearable based on NIRS-EEG it is characterised in that：Detect single including NIRS-EEG
Unit, super low-power consumption control unit, condition prompting unit, bluetooth communication unit, key-press input unit and power supply power supply unit；
Described NIRS-EEG detector unit is used for gathering brain blood oxygen signal and the EEG signals of user's brain；
Described super low-power consumption control unit respectively with NIRS-EEG detector unit, condition prompting unit and bluetooth communication unit phase
Even, super low-power consumption control unit carries out data command communication by SPI interface and NIRS-EEG detector unit, and controls NIRS-
The working method of EEG detector unit, super low-power consumption control unit is carried out with bluetooth communication unit by UART serial port communicating protocol
Data transfer communications, the data is activation receiving to mobile terminal is carried out subsequent treatment by bluetooth communication unit；
Described key-press input unit is connected with power supply power supply unit, and described power supply power supply unit is used for detecting list for NIRS-EEG
Unit, super low-power consumption control unit, condition prompting unit and bluetooth communication unit are powered, and carry out power supply protection and power management.
2. the multi-modal brain function detection device of the Wearable based on NIRS-EEG according to claim 1 it is characterised in that：
Described NIRS-EEG detector unit adopts single channel NIRS to detect brain blood oxygen signal, and using EEG detection brain telecommunications of singly leading
Number, this NIRS-EEG detector unit includes NIRS probe, brain electricity patch electrode, brain blood oxygen integrated simulation front end and brain and is electrically integrated
AFE (analog front end), described NIRS probe includes light emitting diode and reception diode, described light emitting diode, reception diode and brain
Electric patch electrode is placed in the forehead of user, and described reception diode receives the sent near infrared light of light emitting diode through brain
Reflected light after function of organization, described NIRS probe is connected with brain blood oxygen integrated simulation front end, the electric patch electrode of described brain and brain
It is electrically integrated AFE (analog front end) to be connected, described brain blood oxygen integrated simulation front end and brain are electrically integrated AFE (analog front end) and integrate, and make NIRS-
EEG detector unit constitutes multi-modal brain function detector unit.
3. the multi-modal brain function detection device of the Wearable based on NIRS-EEG according to claim 2 it is characterised in that：
Described brain blood oxygen integrated simulation front end include LED driving circuit, time controller, wave filter, amplifier, triangle amass
Submodular transducer and SPI interface, described LED driving circuit is used for driven for emitting lights diode, described time control
Device is used for controlling light emitting diode alternately luminous according to certain sequential, and the reflected light signal that described reception diode receives is through filtering
After ripple device, amplifier, trigonometric integral analog-digital converter, super low-power consumption control unit is transferred to by SPI interface.
4. the multi-modal brain function detection device of the Wearable based on NIRS-EEG according to claim 2 it is characterised in that：
Described brain is electrically integrated AFE (analog front end) and includes driven-right-leg circuit, wave filter, programmable instrumentation amplifier, trigonometric integral analog digital conversion
Device and SPI interface, the EEG signals of described brain electricity patch electrode collection are through driven-right-leg circuit, wave filter, programmable instrument
After table amplifier, trigonometric integral analog-digital converter, super low-power consumption control unit is transferred to by SPI interface.
5. the multi-modal brain function detection device of the Wearable based on NIRS-EEG according to claim 1 it is characterised in that：
Described super low-power consumption control unit includes central processing unit, universal peripheral interface module, tick time interrupt module, ferroelectricity
Random access memory modules, jtag interface and communication interface modules；Described central processing unit passes through universal peripheral interface
Module or communication interface modules receive the data message being derived from NIRS-EEG detector unit and bluetooth communication unit, and data is carried out
Integration is processed, and then carries out judging decision-making and storing data in ferroelectric RAM module, and described central authorities are processed
The transmitting-receiving that device is instructed by communication interface modules, and then control the working method of NIRS-EEG detector unit.
6. the multi-modal brain function detection device of the Wearable based on NIRS-EEG according to claim 5 it is characterised in that：
Described communication interface modules includes I2C bus, CAN, UART serial ports and SPI interface.
7. the multi-modal brain function detection device of the Wearable based on NIRS-EEG according to claim 1 it is characterised in that：
Described bluetooth communication unit includes Anneta module, link control module, link management module and Bluetooth protocol module, described chain
Road management module is connected with Anneta module and link control module respectively, described Bluetooth protocol module respectively with Anneta module and chain
Road management module is connected.
8. the multi-modal brain function detection device of the Wearable based on NIRS-EEG according to claim 1 it is characterised in that：
Described power supply power supply unit includes power source charges module, power management module and the LDO power supply output module being sequentially connected.
9. the multi-modal brain function detection device of the Wearable based on NIRS-EEG according to claim 1 it is characterised in that：
Described condition prompting unit is status indicator lamp；Described key-press input unit is key switch.
10. the multi-modal brain function detection device of the Wearable based on NIRS-EEG according to claim 2, its feature exists
In：Integrated simulation front-end A FE4400 of TI company is selected in described brain blood oxygen integrated simulation front end；Described brain is electrically integrated AFE (analog front end)
Integrated simulation front-end A/D S1291 from TI company；Described super low-power consumption control unit selects the micro- place of super low-power consumption of TI company
Reason device MSP430FR5969；Described bluetooth communication unit adopts the CC2541 chip of TI company, and this chip is marked using bluetooth 4.1
Accurate.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105852854A (en) * | 2016-05-10 | 2016-08-17 | 华南理工大学 | Wearable multimode brain function detection device based on NIRS-EEG |
| CN108852341A (en) * | 2018-06-22 | 2018-11-23 | 山东师范大学 | A kind of digital radio Electrophysiology signal detection single-chip, system and method |
| CN111012324A (en) * | 2019-12-26 | 2020-04-17 | 中国科学院合肥物质科学研究院 | Memorial exercise rehabilitation device and method based on real-time feedback of exercise physiological parameters |
| CN113261974A (en) * | 2021-06-07 | 2021-08-17 | 吉林大学 | Sports fatigue monitoring method based on multiple physiological signals |
| WO2022203746A1 (en) * | 2021-03-22 | 2022-09-29 | Hi Llc | Optimizing an individual's wellness therapy using a non-invasive brain measurement system |
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- 2016-05-10 CN CN201620422907.1U patent/CN205964038U/en active Active
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105852854A (en) * | 2016-05-10 | 2016-08-17 | 华南理工大学 | Wearable multimode brain function detection device based on NIRS-EEG |
| CN108852341A (en) * | 2018-06-22 | 2018-11-23 | 山东师范大学 | A kind of digital radio Electrophysiology signal detection single-chip, system and method |
| CN108852341B (en) * | 2018-06-22 | 2021-10-01 | 山东师范大学 | Digital wireless neuroelectrophysiological signal detection single chip, system and method |
| CN111012324A (en) * | 2019-12-26 | 2020-04-17 | 中国科学院合肥物质科学研究院 | Memorial exercise rehabilitation device and method based on real-time feedback of exercise physiological parameters |
| WO2022203746A1 (en) * | 2021-03-22 | 2022-09-29 | Hi Llc | Optimizing an individual's wellness therapy using a non-invasive brain measurement system |
| CN113261974A (en) * | 2021-06-07 | 2021-08-17 | 吉林大学 | Sports fatigue monitoring method based on multiple physiological signals |
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