CN208799218U

CN208799218U - EEG signals detector and brain function auxiliary training system based on virtual reality

Info

Publication number: CN208799218U
Application number: CN201820159411.9U
Authority: CN
Inventors: 秦路
Original assignee: ZHEJIANG FANJU TECHNOLOGY Co Ltd
Current assignee: ZHEJIANG FANJU TECHNOLOGY Co Ltd
Priority date: 2018-01-30
Filing date: 2018-01-30
Publication date: 2019-04-30
Anticipated expiration: 2028-01-30

Abstract

The utility model discloses a kind of EEG signals detector and the brain function auxiliary training system based on virtual reality, including EEG signals detection module and the electroencephalogramsignal signal acquisition module for being connected to EEG signals detection module, the EEG signals detection module includes the electrode module for receiving EEG signals, and the electrode module includes at least two electrode units, each electrode unit includes mutually isolated by metal screen layer for being contacted with the dry electrode of user's skin and being connected to the preamplifier of dry electrode, and between multiple electrodes unit.Utility model has the advantages that structure is simple, detection accuracy is high, and noise and the ambient noise etc. of contact can be effectively overcome using metal screen layer.

Description

EEG signals detector and brain function auxiliary training system based on virtual reality

Technical field

The utility model belongs to nerve/phrenoblabia supplemental training technical field, examines more particularly, to a kind of EEG signals Survey instrument and the brain function auxiliary training system based on virtual reality.

Background technique

No matter human brain is all in structure or functionally extremely complex, referred to as complex gigantic system.It is estimated that people Brain about dry hundred million neurons, each neuron are connected by cynapse with thousands of other neurons, formation one it is huge and Sparse neural network.Recent years, Complex Networks Theory starts to apply the research in human brain, and has made great progress, base In the complex network research of Graph Analysis can disclose the mechanism of brain structure and brain function that passing analysis means cannot disclose with Feature.Brain is with small world and uncalibrated visual servo characteristic complex network, even if simple brain function by extensive confirmation at present It can not also can be independently performed by single neuron or single brain area, need neuron colony, the functional column in neural network Or multiple brain area reciprocations are realized.When dysfunction or missing occurs in specific brain regions network, between different brain regions Normal connection damage or abnormal, so that it may show as all kinds of nerves or phrenoblabia.To including Alzheimer disease, spirit point It splits the progress complex brain network analysis of the diseases such as disease, epilepsy, depression, attention deficit disorder, self-closing disease, brain trauma to find, these diseases Brain network exist jointly the topological structures such as small world, hierarchical organization, key node change, it is considered to be by brain network It connects and " loses connection syndrome " caused by disorder.

And brain network disorder requires to carry out period longer rehabilitation training, needs to acquire in time in rehabilitation training For the EEG signals of user to understand the rehabilitation situation of user, the equipment for acquiring EEG signals generally uses EEG signals detector, But that there are anti-interference abilities is weak for the EEG signals detector of the prior art, there are biggish errors to be unfavorable for for brain electric-examination measured data Observe the rehabilitation situation of user.

Utility model content

The purpose of this utility model is in view of the above-mentioned problems, providing a kind of anti-interference detector of strong antijamming capability；

Another purpose of the utility model is in view of the above-mentioned problems, providing a kind of showing based on virtual for supplemental training Real brain function auxiliary training system.

In order to achieve the above objectives, the utility model uses following technical proposal:

The EEG signals detector of the utility model, including EEG signals detection module detect mould with EEG signals are connected to The electroencephalogramsignal signal acquisition module of block, the EEG signals detection module include the electrode module for receiving EEG signals, And the electrode module includes at least two electrode units, each electrode unit includes the dry electricity for being contacted with user's skin Pole and the preamplifier for being connected to dry electrode, and it is mutually isolated by metal screen layer between multiple electrodes unit.

In above-mentioned EEG signals detector, the dry electrode is dry type finger electrode.

In above-mentioned EEG signals detector, the electrode module, which is fixed on, to be worn in module by wearing mould Block is contacted with user's head, and one is worn and is fixed with multiple electrodes module in module to form big area electrodes module.

In above-mentioned EEG signals detector, the preamplifier is miniature ultra-high-impedance preamplifier.

In above-mentioned EEG signals detector, the signal acquisition module includes having the input of multiple EEG signals logical The main control chip of the electrically amplified analog to digital conversion circuit of the brain in road, the electrically amplified analog to digital conversion circuit of the brain uses ADS1299 chip.

In above-mentioned EEG signals detector, the electrically amplified analog to digital conversion circuit of the brain further includes having wireless connection mould Block and wired connection module.

In above-mentioned EEG signals detector, the wireless connection module includes the bluetooth mould for being connected to main control chip Block, the wired connection module include the USB interface for being connected to main control chip.

A kind of brain function auxiliary training system based on virtual reality, including above-mentioned EEG signals detector, and it is described EEG signals detector be connected with virtual reality device.

In the above-mentioned brain function auxiliary training system based on virtual reality, the virtual reality device is used and is based on The Stream Data Transmission signal of digital signal.

In the above-mentioned brain function auxiliary training system based on virtual reality, the EEG signals detector passes through brain Electronic signal processing module and neural feedback regulation module are connected to the virtual reality device.

Compared with prior art, the utility model EEG signals detector and the brain function based on virtual reality assist instruction Practice system and have the advantage that 1, structure is simple, detection accuracy is high；2, comprising the electrode module of different number, it can satisfy brain The various quantity channel requirements of electric data collecting；3, using finger electrode, the reasons such as user's hair sparse can preferably be solved Caused by electrode and the problems such as skin of head poor contact；4, multistage amplification mode is taken, and by collecting after finger electrode The preferable pre- gain effect of signal is realized at miniature ultra-high-impedance preamplifier；5, metal screen layer can effectively overcome contact Formula noise and ambient noise etc.；6, wired and wireless two kinds of optional data transfer modes, can take into account different acquisition requirement simultaneously Adapt to the valid data transmission in different electromagnetic interference environments.

Figure of description

Fig. 1 is the EEG signals detector structural block diagram of the utility model；

Fig. 2 is the utility model brain electrode modular structure schematic diagram；

Fig. 3 is that the utility model wears modular structure schematic diagram；

Fig. 4 is the system block diagram of brain function auxiliary training system of the utility model based on virtual reality.

Appended drawing reference: EEG signals detector 1；EEG signals detection module 11；Electroencephalogramsignal signal acquisition module 12；Electrode mould Block 13；Electrode unit 14；Dry electrode 141；Preamplifier 142；Metal screen layer 16；The electrically amplified analog to digital conversion circuit 17 of brain； Virtual reality device 2；Wear module 3；EEG Processing module 4；Neural feedback regulates and controls module 5.

Specific embodiment

Term "and/or" used herein above includes any of associated item listed by one of them or more and institute There is combination.When a unit referred to as " connects " or when " coupled " to another unit, can be connected or coupled to described Another unit, or may exist temporary location.

Term used herein above is not intended to limit exemplary embodiment just for the sake of description specific embodiment.Unless Context clearly refers else, otherwise singular used herein above "one", " one " also attempt to include plural number.Also answer When understanding, term " includes " and/or "comprising" used herein above provide stated feature, integer, step, operation, The presence of unit and/or component, and do not preclude the presence or addition of other one or more features, integer, step, operation, unit, Component and/or combination thereof.

The utility model is described in more detail with reference to the accompanying drawings and detailed description.

As shown in Figure 1, the EEG signals detector 1 of the utility model includes EEG signals detection module 11 and is connected to brain The electroencephalogramsignal signal acquisition module 12 of electrical signal detection module 11, EEG signals detection module 11 include for receiving brain telecommunications Number electrode module 13, as shown in Fig. 2, and the electrode module 13 include at least two electrode units 14, each electrode unit 14 It include the preamplifier 142 for being contacted with the dry electrode 141 of user's skin He being connected to dry electrode 141, and multiple It is mutually isolated by metal screen layer 16 between electrode unit 14.

In order to guarantee well to contact, the dry electrode 141 of the present embodiment is dry type finger electrode；And the electrode mould of the present embodiment Block 13, which is fixed on, to be worn to be contacted with user's head by wearing module 3 in module 3, and one is worn and is fixed in module 3 Multiple electrodes module 13 wears module 3 and refers to shape similar to safety cap and in reticular structure to form big area electrodes module Can be worn overhead cap body securely, and electrode mould can block be installed at the node of reticular structure, provided in Fig. 3 Wear the easy basic block diagram of module 3.

Preferably, the preamplifier 142 of the present embodiment is miniature ultra-high-impedance preamplifier 142.

Further, electroencephalogramsignal signal acquisition module 12 includes the electrically amplified modulus of brain with multiple EEG signals input channels Conversion circuit 17, the main control chip of the electrically amplified analog to digital conversion circuit 17 of the brain use the ADS1299 chip of TI company, the chip With 8 EEG signals channels.The present embodiment is improved on the basis of the EEG signals detector of the prior art, is passed through Using preamplifier 142, common-mode rejection ratio is effectively reduced, and metal screen layer 16 is set between each electrode unit 14, To effectively reduce biology and interference of the ambient noise to EEG signals.

Further, the electrically amplified analog to digital conversion circuit 17 of brain further includes having wireless link block and wired connection module, Middle wired connection module includes the USB interface for being connected to main control chip, and being wirelessly connected module includes being connected to the indigo plant of main control chip Tooth module.

In addition, as shown in figure 4, the present embodiment additionally provides a kind of brain function auxiliary training system based on virtual reality, Including above-mentioned EEG signals detector 1, and the EEG signals detector 1 is connected with virtual reality device 2, the present embodiment Virtual reality device 2 using HTC Vive Pre show and matched host machines, this, which sets virtual reality device 2, stronger figure Processing function, and it is provided with software and hardware interface abundant, it can be merged well with EEG signals detector 1, data are handed over Mutually.

Further, virtual reality device 2 uses the Stream Data Transmission signal based on digital signal；EEG signals detector 1, which regulates and controls module 5 by EEG Processing module 4 and neural feedback, is connected to virtual reality device 2.

The specific embodiments described herein are merely examples of the spirit of the present invention.The utility model institute Belonging to those skilled in the art can make various modifications or additions to the described embodiments or using similar Mode substitute, but without departing from the spirit of the present application or beyond the scope of the appended claims.

Although EEG signals detector 1 is used more herein；EEG signals detection module 11；Eeg signal acquisition mould Block 12；Electrode module 13；Electrode unit 14；Dry electrode 141；Preamplifier 142；Metal screen layer 16；The electrically amplified modulus of brain Conversion circuit 17；Virtual reality device 2；Wear module 3；EEG Processing module 4；Neural feedback regulates and controls the terms such as module 5, But it does not exclude the possibility of using other terms.It is practical the use of these items is only for being more convenient to describe and explain Novel essence；It is contrary to the spirit of the present invention to interpret them as any one of the additional limitations.

Claims

1. a kind of EEG signals detector, which is characterized in that including EEG signals detection module (11) and be connected to EEG signals The electroencephalogramsignal signal acquisition module (12) of detection module (11), the EEG signals detection module (11) includes for receiving brain The electrode module (13) of electric signal, and the electrode module (13) includes at least two electrode units (14), each electrode unit It (14) include dry electrode (141) for being contacted with user's skin and the preamplifier for being connected to dry electrode (141) (142), and it is mutually isolated by metal screen layer (16) between multiple electrodes unit (14).

2. EEG signals detector according to claim 1, which is characterized in that the dry electrode (141) refers to for dry type Shape electrode.

3. EEG signals detector according to claim 2, which is characterized in that the electrode module (13) is fixed on It wears to be contacted with user's head by wearing module (3) on module (3), and one is worn and is fixed with multiple electricity on module (3) Pole module (13) is to form big area electrodes module.

4. EEG signals detector according to claim 3, which is characterized in that the preamplifier (142) is micro- Type ultra-high-impedance preamplifier.

5. EEG signals detector according to claim 1, which is characterized in that the electroencephalogramsignal signal acquisition module (12) Including the electrically amplified analog to digital conversion circuit of brain (17) with multiple EEG signals input channels, the electrically amplified analog to digital conversion circuit of the brain (17) main control chip uses ADS1299 chip.

6. EEG signals detector according to claim 5, which is characterized in that the electrically amplified analog to digital conversion circuit of the brain It (17) further include having wireless link block and wired connection module.

7. EEG signals detector according to claim 6, which is characterized in that the wireless connection module includes connection In the bluetooth module of main control chip, the wired connection module includes the USB interface for being connected to main control chip.

8. a kind of brain function auxiliary training system based on virtual reality, including the electricity of brain described in claim 1 to 7 any one Signal detecting and measuring apparatus (1), and the EEG signals detector (1) is connected with virtual reality device (2).

9. the brain function auxiliary training system according to claim 8 based on virtual reality, which is characterized in that the void Quasi- real world devices (2) use the Stream Data Transmission signal based on digital signal.

10. the brain function auxiliary training system according to claim 9 based on virtual reality, which is characterized in that described EEG signals detector (1) by EEG Processing module (4) and neural feedback regulation module (5) be connected to described in it is virtual Real world devices (2).