CN204863182U - Motion imagination EEG and fNIRS synchronous sampling brain information apparatus - Google Patents
Motion imagination EEG and fNIRS synchronous sampling brain information apparatus Download PDFInfo
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- CN204863182U CN204863182U CN201520439169.7U CN201520439169U CN204863182U CN 204863182 U CN204863182 U CN 204863182U CN 201520439169 U CN201520439169 U CN 201520439169U CN 204863182 U CN204863182 U CN 204863182U
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Abstract
The utility model relates to a motion imagination EEG and fNIRS synchronous sampling brain information apparatus belongs to brain information acquisition technical field. The utility model discloses an electrode cap, task signal device, EEG signal processing device, fNIRS signal processing device, computer, be equipped with the electrode in the electrode cap, the electrode includes brain electricity electrode and near -infrared electrode, and the electrode is used for gathering the EEG signal and the brain blood oxygen content signal of the motion imagination, and EEG signal processing device's input passes through the parallel port to be connected with task signal device, and the fNIRS signal processing device input passes through the serial ports to be connected with task signal device, and EEG signal processing device, fNIRS signal processing device output are all continuous with the input of computer. The utility model discloses a EEG and fNIRS unite synchronous sampling brain electricity and brain blood oxygen content information, have improved the collection efficiency of brain electricity and brain blood oxygen content.
Description
Technical field
This utility model relates to a kind of Mental imagery EEG and fNIRS synchronous acquisition brain massaging device, belongs to brain information acquiring technology field.
Background technology
Mankind's brain electricity (Electroencephalogram, EEG) is the macro manifestations of the neurocyte electric discharge in cerebral cortex, and what brain electricity can react cerebral cortex function to a certain extent enlivens situation.Detect brain function neural activity based on EEG, although EEG noinvasive and temporal resolution high (Millisecond), its spatial resolution low (Centimeter Level), location, brain district is inaccurate.Secondly EEG signal to noise ratio is low, is subject to artefact (as eye moves artefact and Muscle artifacts etc.) and pollutes.
Functional near-infrared spectrum technique (functionalnear-infraredspectroscopy, fNIRS) scattering that the main component of blood is good to 6000-900NM near infrared light is utilized, thus HbO2 Oxyhemoglobin and the situation of change of deoxyhemoglobin when obtaining cerebral activity.Compared with EEG, detecting brain function neural activity based on NIRS is a kind of indirect method; Cerebral nerve is movable with blood oxygen of brain metabolic alterations, for this reason, can infer that cerebral nerve is movable by detecting the blood oxygen concentration change of brain district.Although this detection method temporal resolution is not high, have higher spatial resolution, capacity of resisting disturbance is strong, and signal is relatively stable, few to tested restriction.
Summary of the invention
The technical problems to be solved in the utility model is: this utility model provides a kind of Mental imagery EEG and fNIRS synchronous acquisition brain massaging device, for solving in prior art the problem of the synchronous acquisition device not having EEG signals and brain blood oxygen content signal, this utility model improves the efficiency gathering brain information.
Technical solutions of the utility model are: a kind of Mental imagery EEG and fNIRS synchronous acquisition brain massaging device, comprise electrode cap 1, task signal suggestion device 3, EEG signal treatment facility 4, fNIRS signal handling equipment 5, computer 6; Electrode 2 is provided with in described electrode cap 1, electrode 2 comprises electrode for encephalograms and near-infrared electrode, electrode 2 is for gathering EEG signals and the brain blood oxygen content signal of Mental imagery, the input of EEG signal treatment facility 4 is connected with task signal suggestion device 3 by parallel port, fNIRS signal handling equipment 5 input is connected with task signal suggestion device 3 by serial ports, and EEG signal treatment facility 4, fNIRS signal handling equipment 5 outfan are all connected with the input of computer 6.
Described electrode 2 comprises 21 electrode for encephalograms, 18 functional near-infrared electrodes.
Described EEG signal treatment facility 4 can adopt the eeg collection system of Neuroscan company of the U.S..
Described fNIRS signal handling equipment 5 can select the ETG-4000 of Hitachi, Ltd.
Work process of the present utility model is:
Step 1: task signal suggestion device 3 gives tested prompting task signal, and send Trigger signal respectively by parallel port and serial ports to EEG signal treatment facility 4 and fNIRS signal handling equipment 5, namely triggering EEG signal treatment facility 4 and fNIRS signal handling equipment 5 carry out the signal of work simultaneously;
Step 2: the EEG signals and the brain blood oxygen content signal that are collected Mental imagery again by several electrodes 2, and the two signal is transferred to EEG signal treatment facility 4 and fNIRS signal handling equipment 5 respectively;
Step 3:EEG signal handling equipment 4 and fNIRS signal handling equipment 5 carry out processing and amplifying to the brain signal inputted respectively, wherein A/D conversion, notch filter, linear filtering process are carried out to EEG signal, low-pass filtering is carried out to fNIRS signal and linearly goes trending process;
Step 4: recorded the brain electricity, the brain blood oxygen content signal that are inputted by EEG signal treatment facility 4 and fNIRS signal handling equipment 5 again by computer 6, therefore, brain electricity, the collection of brain blood oxygen content signal and record can be carried out by this utility model simultaneously, thus improve the efficiency gathering brain information.
The invention has the beneficial effects as follows: this utility model provides a kind of method of Mental imagery EEG-fNIRS synchronous acquisition brain information, reaches the object of synchronous acquisition EEG signals and brain blood oxygen content signal, improve the efficiency gathering brain information.
Accompanying drawing explanation
Fig. 1 is this utility model structured flowchart;
Fig. 2 is this utility model electrode cap electrode position schematic diagram;
Fig. 3 is that this utility model EEG and fNIRS combines and gather cerebration research simultaneously and hold speed and change imagination Trial sequential chart.
Each label in Fig. 1: 1-electrode cap, 2-electrode, 3-task signal suggestion device, 4-EEG signal handling equipment, 5-fNIRS signal handling equipment, 6-computer.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the utility model is described in further detail.
Embodiment 1: as shown in Figure 1, a kind of Mental imagery EEG and fNIRS synchronous acquisition brain massaging device, comprise electrode cap 1, task signal suggestion device 3, EEG signal treatment facility 4, fNIRS signal handling equipment 5, computer 6; Electrode 2 is provided with in described electrode cap 1, electrode 2 comprises electrode for encephalograms and near-infrared electrode, electrode 2 is for gathering EEG signals and the brain blood oxygen content signal of Mental imagery, the input of EEG signal treatment facility 4 is connected with task signal suggestion device 3 by parallel port, fNIRS signal handling equipment 5 input is connected with task signal suggestion device 3 by serial ports, and EEG signal treatment facility 4, fNIRS signal handling equipment 5 outfan are all connected with the input of computer 6.
Embodiment 2: as shown in Figure 1, a kind of Mental imagery EEG and fNIRS synchronous acquisition brain massaging device, comprise electrode cap 1, task signal suggestion device 3, EEG signal treatment facility 4, fNIRS signal handling equipment 5, computer 6; Electrode 2 is provided with in described electrode cap 1, electrode 2 comprises electrode for encephalograms and near-infrared electrode, electrode 2 is for gathering EEG signals and the brain blood oxygen content signal of Mental imagery, the input of EEG signal treatment facility 4 is connected with task signal suggestion device 3 by parallel port, fNIRS signal handling equipment 5 input is connected with task signal suggestion device 3 by serial ports, and EEG signal treatment facility 4, fNIRS signal handling equipment 5 outfan are all connected with the input of computer 6.
Described electrode 2 comprises 21 brain electricity (EEG) electrodes, 18 functional near-infrared (fNIRS) electrodes; As Fig. 2, place the position of the functional near-infrared electrode module (18 functional near-infrared electrodes, 12 × 2=24 passage) of 21 electrode for encephalograms (21 electrodes of motor region and central area) and two panels 3 × 3 according to 10-20 system and 10-20 expanding system; Brain electricity (EEG) electrode covers 21 electrodes of motor region and central area: FC5, FC3, FC1, FCz, FC2, FC4, FC6, C5, C3, C1, Cz, C2, C4, C6, CP5, CP3, CP1, CPz, CP2, CP4, CP6; Measure and adopt the reference of bilateral mastoid process: M1, M2; Fpz is ground electrode; All electrodes are Ag-AgCL powder electrode.Be worn on by electrode cap 1 on tested head, electrode 2 receives EEG signals and the brain blood oxygen content signal of Mental imagery;
The EEG signal treatment facility 4 that the present embodiment adopts is the eeg collection system (NeuroscanSynAmps2) of Neuroscan company of the U.S., for the measurement of identical brain district brain blood oxygen content, fNIRS signal handling equipment 5 selects the ETG-4000 (HitachiMedicalCorporation) of Hitachi, Ltd;
The present embodiment requires testedly to complete 3 kinds of imagination tasks: right hand 0.5Hz(is at a slow speed), 1Hz(is normal), 2Hz(is quick) hold speed and make rhythm imagery motion by oneself.Assuming that fNIRS and the EEG feature that 3 of significant difference kinds of imagination task association significant difference separabilitys are good.Fig. 3 is that EEG and fNIRS combines and gather cerebration research simultaneously and hold speed and change imagination Trial sequential chart, figure top holds fast kinematic parameter imagination prompting picture, attention program is by E-Prime software simulating, and namely task signal suggestion device 3 is added by a computer again and is made up of the attention program of E-Prime software simulating;
The computer screen of the tested task signal suggestion device 3 in the face of presenting briefing, distance is 0.7-1m, and sit up straight on comfortable armchair, arm is placed on handrail.The helmet location EEG electrode of EEG and the fNIRS Collect jointly brain signal that experimenter designs according to part of data acquisition and fNIRS electrode.First each session (Session) is tested carries out sector, then carries out ten groups and formally tests, and sends " ST " opening flag by serial ports to ETG-4000.Often organize 3 Trials(training), comprise 3 and different hold fast Mental imagery task, 30 Trials altogether, each condition 10 Trials.The baseline of formal experiment first Trial is the 20s that t=0s starts to keep tranquillization state, changes returning to baseline state, as shown in Figure 3 to make brain blood oxygen.Be prepare prompting subsequently, black cross point of fixation is presented on Bai Pingshang, continues 2s, requires testedly to loosen tranquillization, prepares to start experiment.Then be briefing, a vivid prompting picture appears at Bai Pingshang, continues 2s, and prompting 0.5Hz/1Hz/2Hz holds the speed imagination, requires the tested preparation carrying out Mental imagery.Go out now in briefing, send Trigger signal respectively by parallel port and serial ports to EEG and fNIRS amplifier simultaneously.When prompting picture disappears, tested beginning performs imagination task, Bai Ping presents black star font point of fixation cursor, tested must focusing one's attention on performs the Mental imagery task of prompting, require that the tested memory right hand is held the process of speed motion but any actual motion does not occur, imagination task continues 10s, until point of fixation cursor disappears from screen, do not provide online recognition result to tested during this period.After completing imagination task, white screen presents, tested random rest 18 ~ 20s, and then next Trial prepares prompting, and random rotation like this, until experiment terminates, sends end mark by serial ports to ETG-4000.A Trial continues 32 ~ 34s, comprises buffer time.In experimentation, except rest period random between Trial, testedly during whole Trial should avoid nictation, eyeball microinching, other position of facial muscle and health is movable.The tested participation of the present embodiment 3 Session, Mental imagery task amounts to 30 trials;
Mental imagery briefing present to tested while, require this cue is sent to EEG and the fNIRS amplifier in EEG signal treatment facility 4, fNIRS signal handling equipment 5 respectively thus realizes synchronous acquisition.The SynAmps2 cue that EEG signal treatment facility 4 adopts adopts parallel port to send, Trigger signal is 1,2, corresponding 3 the Mental imagery tasks of 3(), each send signal 50ms after need transmission 0 to carry out set.The cue of the ETG-4000 that NIRS signal handling equipment 5 is selected adopts serial ports to send, and Trigger signal is corresponding 3 the Mental imagery tasks of F1, F2, F3(), the setting in cue source is carried out during experiment at ETG-4000 end.In order to reduce the time difference between two cues, in experimentation, first sending Trigger by serial ports to ETG-4000, sending Trigger by parallel port to SynAmps afterwards.The time difference of measuring two Trigger, between 1 ~ 2ms, is in acceptable scope.As Fig. 1.
The sample rate of fNIRS is 10Hz; The sample rate of EEG is 1000Hz, 24 A/D converters, signal band 0-250Hz, 50Hz Hz noise wave trap.Record eye electricity (having identical band with EEG to lead to and sample rate) moves the trials of pollution for rejecting eye.Holding electrode impedance is lower than 5K Ω;
The brain electricity, the brain blood oxygen content signal that are inputted by EEG signal treatment facility 4 and fNIRS signal handling equipment 5 is recorded again by computer 6.
By reference to the accompanying drawings specific embodiment of the utility model is explained in detail above, but this utility model is not limited to above-described embodiment, in the ken that those of ordinary skill in the art possess, various change can also be made under the prerequisite not departing from this utility model aim.
Claims (4)
1. Mental imagery EEG and a fNIRS synchronous acquisition brain massaging device, is characterized in that: comprise electrode cap (1), task signal suggestion device (3), EEG signal treatment facility (4), fNIRS signal handling equipment (5), computer (6); Electrode (2) is provided with in described electrode cap (1), electrode (2) comprises electrode for encephalograms and near-infrared electrode, electrode (2) is for gathering EEG signals and the brain blood oxygen content signal of Mental imagery, the input of EEG signal treatment facility (4) is connected with task signal suggestion device (3) by parallel port, fNIRS signal handling equipment (5) input is connected with task signal suggestion device (3) by serial ports, and EEG signal treatment facility (4), fNIRS signal handling equipment (5) outfan are all connected with the input of computer (6).
2. Mental imagery EEG according to claim 1 and fNIRS synchronous acquisition brain massaging device, is characterized in that: described electrode (2) comprises 21 electrode for encephalograms, 18 functional near-infrared electrodes.
3. Mental imagery EEG according to claim 1 and fNIRS synchronous acquisition brain massaging device, is characterized in that: described EEG signal treatment facility (4) adopts the eeg collection system of Neuroscan company of the U.S..
4. Mental imagery EEG according to claim 1 and fNIRS synchronous acquisition brain massaging device, is characterized in that: described fNIRS signal handling equipment (5) selects the ETG-4000 of Hitachi, Ltd.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105662389A (en) * | 2016-01-12 | 2016-06-15 | 崔天利 | System for detecting and evaluating human-brain activity |
| CN107865636A (en) * | 2016-09-28 | 2018-04-03 | 首都儿科研究所 | A kind of sensor fixation plate |
| CN109069051A (en) * | 2016-04-04 | 2018-12-21 | 柏林工业大学 | The method that bio signal obtains equipment and system, acquisition bio signal |
| CN113208613A (en) * | 2021-04-21 | 2021-08-06 | 杭州电子科技大学 | Multi-mode BCI (binary coded decimal) timing optimization method based on FHLS (FHLS) feature selection |
| CN114533085A (en) * | 2022-02-18 | 2022-05-27 | 北京工业大学 | EEG-fNIRS multi-mode space-time fusion classification method based on attention mechanism |
| CN115813385A (en) * | 2022-12-16 | 2023-03-21 | 天津大学 | Multi-mode audio-visual combined blood oxygen compensation level quantitative evaluation method |
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2015
- 2015-06-25 CN CN201520439169.7U patent/CN204863182U/en not_active Expired - Fee Related
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105662389A (en) * | 2016-01-12 | 2016-06-15 | 崔天利 | System for detecting and evaluating human-brain activity |
| CN109069051A (en) * | 2016-04-04 | 2018-12-21 | 柏林工业大学 | The method that bio signal obtains equipment and system, acquisition bio signal |
| CN109069051B (en) * | 2016-04-04 | 2022-02-15 | 柏林工业大学 | Biological signal acquisition apparatus and system, method of acquiring biological signal |
| CN107865636A (en) * | 2016-09-28 | 2018-04-03 | 首都儿科研究所 | A kind of sensor fixation plate |
| CN113208613A (en) * | 2021-04-21 | 2021-08-06 | 杭州电子科技大学 | Multi-mode BCI (binary coded decimal) timing optimization method based on FHLS (FHLS) feature selection |
| CN114533085A (en) * | 2022-02-18 | 2022-05-27 | 北京工业大学 | EEG-fNIRS multi-mode space-time fusion classification method based on attention mechanism |
| CN114533085B (en) * | 2022-02-18 | 2024-05-28 | 北京工业大学 | Attention mechanism-based EEG-fNIRS multi-mode space-time fusion classification method |
| CN115813385A (en) * | 2022-12-16 | 2023-03-21 | 天津大学 | Multi-mode audio-visual combined blood oxygen compensation level quantitative evaluation method |
| CN115813385B (en) * | 2022-12-16 | 2024-04-12 | 天津大学 | Multi-mode audio-visual combined blood oxygen compensation level quantitative evaluation method |
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