CN204318755U - A kind of wireless brain wave acquisition device - Google Patents
A kind of wireless brain wave acquisition device Download PDFInfo
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Abstract
This utility model relates to a kind of wireless brain wave acquisition device, belongs to eeg signal acquisition technical field.This utility model comprises electrode for encephalograms, electroencephalogramsignal signal pre-processing, analog to digital conversion circuit, logic control circuit, radio transmitter, wireless receiving circuit, outer synchronous TTL circuit and receiving and displaying device.The brain electricity of this utility model to special exercise imagination district gathers, and processes it and the extraction of corresponding band, is more applicable for the EEG signals research of Mental imagery; By this device, Mental imagery brain electricity is gathered, to the extraction of follow-up brain electrical feature and pattern classification, there is larger help; Meanwhile, this device volume is little, good portability, has more perfect brain wave acquisition transfer function.
Description
Technical field
This utility model relates to a kind of wireless brain wave acquisition device, belongs to eeg signal acquisition technical field.
Background technology
Brain-computer interface is international great forward position investigation and application focus, and the brain-computer interface wherein based on Mental imagery brain electricity is the very important brain-computer interface of a class.
BCI based on Mental imagery (Motor imagery, MI) brain electricity is the very important BCI of a class, and " idea moves thing " or " idea control " or " thinking control " of report mainly refers to the BCI based on MI usually.Such BCI directly can rebuild motor control by brain signal, can strategically for military purposes, also can be severe motion people with disability and normal person provides assist control, thus improves their quality of life.Such BCI has important application prospect and economic implications.
In the BCI based on Mental imagery (MI) brain electricity, MI is a kind of mental activity, and being actual motion process rehearses process in the psychology of the simulation of psychology, memory or sensation of movement but actual motion do not occur.Some research has shown neuromechanism like the motion imagined and actual motion share class, and they all activate the relevant brain district of motor function.It is mutual that brain-computer interface research up to now is used for brain-machine using Mental imagery as the important normal form of one.For this reason, the brain-computer interface based on Mental imagery brain electricity needs special eeg signal acquisition device, thus the control realizing such BCI and external equipment with communicate.
In sum, the BCI system based on Mental imagery brain electricity is the very important BCI system of a class, it can by the imagination realize directly with control and the communication in the external world, the quality of life of raising severe motion people with disability and normal person.For still there is no the special acquisition system towards Mental imagery brain electricity BCI and recognizer at present, this utility model carries out creative design to solve the needs of practical application based on the BCI eeg collection system of Mental imagery brain electricity, can move towards practice lay a solid foundation for such BCI system of promotion.Therefore, there is potential use value and economic implications.
Summary of the invention
The technical problems to be solved in the utility model is: this utility model provides a kind of wireless brain wave acquisition device, the deficiency being specifically applied to Mental imagery brain wave acquisition device is lacked in existing brain wave acquisition device, the brain electricity in special exercise imagination district is carried out to the extraction of corresponding band (0.1Hz ~ 100Hz), to the extraction of follow-up brain electrical feature and pattern classification, there is larger help.
Technical solutions of the utility model are: a kind of wireless brain wave acquisition device, comprise electrode for encephalograms 1, electroencephalogramsignal signal pre-processing 2, analog to digital conversion circuit 3, logic control circuit 4, radio transmitter 5, wireless receiving circuit 6, outer synchronous TTL circuit 7 and receiving and displaying device 8; The number of described electrode for encephalograms 1 is for being more than or equal to four, and described electrode for encephalograms 1 is dry electrode, and each electrode for encephalograms 1 is man-to-man to be connected with electroencephalogramsignal signal pre-processing 2; Described electroencephalogramsignal signal pre-processing 2 comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing 2 carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms 1; Described electroencephalogramsignal signal pre-processing 2 is connected with analog-digital conversion circuit as described 3, and described logic control circuit 4 connects analog to digital conversion circuit 3, outer synchronous TTL circuit 7 and radio transmitter 5 respectively; Analog-digital conversion circuit as described 3 converts brain electricity digital signal for being amplified by electroencephalogramsignal signal pre-processing 2 to filtered EEG signals; After described logic control circuit 4 receives the triggering signal of described outer synchronous TTL circuit 7, analog-digital conversion circuit as described 3 carries out signals collecting to described electrode for encephalograms 1, is passed to receiving and displaying device 8 after brain electricity digital signal cushions packing in described logic control circuit 4 through radio transmitter 5 and wireless receiving circuit 6; Described outer synchronous TTL circuit 7 sends triggering signal to described logic control circuit 4; Described receiving and displaying device 8 receives brain electricity digital signal, carries out corresponding waveform display, data store.
Described electrode for encephalograms 1 is the dry electrode of micropin formula.
The signal amplification circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts one-level amplifying circuit 21, second amplifying circuit 23, three-stage amplifier 26, and these three amplifying circuits all use differential amplifier circuit to be used for EEG signals to amplify.
The filter circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts low-pass filter circuit 24, high-pass filtering circuit 22,50Hz power frequency filter circuit 25 for realizing the pretreatment of signal;
Described low-pass filter circuit 24 adopts 100Hz low-pass filter circuit, and 100Hz low-pass filter circuit adopts quadravalence Butterworth low pass wave circuit;
Described high-pass filtering circuit 22 adopts 0.1Hz high-pass filtering circuit, and 0.1Hz high-pass filtering circuit adopts RC high-pass filtering circuit to be used for the EEG signals of filtration frequencies higher than 0.1Hz;
Described 50Hz power frequency filter circuit 25 is for VCVS rejector circuit is for filtering 50Hz Hz noise.
Described radio transmitter 5 and wireless receiving circuit 6 adopt wireless radio transmission receiving circuit.
Described logic control circuit 4 is realized by dsp chip.
Described receiving and displaying device 8 can adopt the computer based on the BCILAB platform of MATLAB to realize the analysis and treament of data, BCILAB is a workbox of MATLAB, it is a kind of platform being specifically designed to design, test, experiment and assessing brain-computer interface, interior containing multiple eeg data Processing Algorithm, as eeg data Preprocessing Algorithm, feature extraction algorithm and pattern classification algorithm etc., the analysis and treament of eeg data can be carried out.
Work process of the present utility model is:
During use, first, N number of electrode for encephalograms is selected, if select 4 electrode for encephalograms 1, first these 4 electrode for encephalograms 1 are placed in motor sensory area, comprise C3, C4, CZ, FCZ everywhere, C3, C4, CZ, FCZ are the head relevant range in the 10-20 international architecture of international regulations, CZ is head central area, C3 is positioned on the left of CZ, is called left centre, and C4 is positioned on the right side of CZ, be called right median, FCZ is 10% place on front side of CZ;
Give external synchronous TTL circuit 7 one external trigger (namely artificial open externally synchronously TTL circuit 7), outer synchronous TTL circuit 7 pairs of logic control circuits 4 send triggering signal, and analog to digital conversion circuit 3 pairs of electrode for encephalograms 1 carry out eeg signal acquisition afterwards;
Outer synchronous TTL circuit 7 has two kinds of occupation mode: A, arranges each outer synchronous TTL circuit respectively, makes it send acquisition instructions at synchronization to logic control circuit 4; B, N number ofly can use a total trigger switch by outer synchronous TTL circuit in expansion multichannel brain electric harvester in parallel, N number of outer synchronous TTL circuit is controlled;
EEG signals completes amplification and the filtering of EEG signals through electroencephalogramsignal signal pre-processing 2.Electroencephalogramsignal signal pre-processing 2 comprises one-level amplifying circuit 21, second amplifying circuit 23, three-stage amplifier 26, high-pass filtering circuit 22, low-pass filter circuit 24 and 50Hz power frequency filter circuit 25, as Fig. 2.EEG signals amplifies 100 times through first order amplifying circuit 21, filters out the frequency range lower than 0.1Hz by high-pass filtering circuit 22.EEG signals amplifies 50 times through second level amplifying circuit 23 again, filters out the frequency range higher than 100Hz by low-pass filter circuit 24, through 50Hz power frequency filter circuit 25(as Fig. 3) filter out 50Hz Hz noise.EEG signals is passed to analog-to-digital conversion module 3 after third level amplifying circuit 26 amplifies 10 times.EEG signals through electroencephalogramsignal signal pre-processing 2 is exaggerated 50000 times, and frequency between 0.1Hz to 100Hz, and eliminates 50Hz Hz noise;
Analog to digital conversion circuit 3 adopts the TLV2544 chip of TI company, amplification and filtered EEG signals is converted to brain electricity digital signal, transfers to logic control circuit 4;
Logic control circuit 4 receives the brain electricity digital signal from analog to digital conversion circuit 3.Brain electricity digital signal cushions packing in logic control circuit 4, after radio transmitter 5 and wireless receiving circuit 6 transmit, sends to receiving and displaying device 8;
Receiving and displaying device 8 applies the BCILAB platform based on MATLAB, receives the eeg data transmitted by radio transmitter 5 and wireless receiving circuit 6, applies its inner existing algorithm and carries out data analysis and process.BCILAB is a workbox of MATLAB, it is a kind of platform being specifically designed to design, test, experiment and assessing brain-computer interface, interior containing multiple eeg data Processing Algorithm, as eeg data Preprocessing Algorithm, feature extraction algorithm and pattern classification algorithm etc., the analysis and treament of eeg data can be carried out;
The beneficial effects of the utility model are: the brain electricity of this device to special exercise imagination district gathers, and processes it and the extraction of corresponding band, is more applicable for the EEG signals research of Mental imagery; By this device, Mental imagery brain electricity is gathered, to the extraction of follow-up brain electrical feature and pattern classification, there is larger help; Meanwhile, this device volume is little, good portability, has more perfect brain wave acquisition transfer function.
Accompanying drawing explanation
Fig. 1 is this utility model structural representation;
Fig. 2 is this utility model electroencephalogramsignal signal pre-processing schematic diagram;
Fig. 3 is this utility model 50Hz power frequency filter circuit schematic diagram.
Each label in Fig. 1-3: 1-electrode for encephalograms, 2-electroencephalogramsignal signal pre-processing, 21-one-level amplifying circuit, 22-high-pass filtering circuit, 23-second amplifying circuit, 24-low-pass filter circuit, 25-50Hz power frequency filter circuit, 26-three-stage amplifier, 3-analog to digital conversion circuit, 4-logic control circuit, 5-radio transmitter, 6-wireless receiving circuit, the outer synchronous TTL circuit of 7-, 8-receiving and displaying device.
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 Figure 1-3, a kind of wireless brain wave acquisition device, comprises electrode for encephalograms 1, electroencephalogramsignal signal pre-processing 2, analog to digital conversion circuit 3, logic control circuit 4, radio transmitter 5, wireless receiving circuit 6, outer synchronous TTL circuit 7 and receiving and displaying device 8; The number of described electrode for encephalograms 1 is for being more than or equal to four, and described electrode for encephalograms 1 is dry electrode, and each electrode for encephalograms 1 is man-to-man to be connected with electroencephalogramsignal signal pre-processing 2; Described electroencephalogramsignal signal pre-processing 2 comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing 2 carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms 1; Described electroencephalogramsignal signal pre-processing 2 is connected with analog-digital conversion circuit as described 3, and described logic control circuit 4 connects analog to digital conversion circuit 3, outer synchronous TTL circuit 7 and radio transmitter 5 respectively; Analog-digital conversion circuit as described 3 converts brain electricity digital signal for being amplified by electroencephalogramsignal signal pre-processing 2 to filtered EEG signals; After described logic control circuit 4 receives the triggering signal of described outer synchronous TTL circuit 7, analog-digital conversion circuit as described 3 carries out signals collecting to described electrode for encephalograms 1, is passed to receiving and displaying device 8 after brain electricity digital signal cushions packing in described logic control circuit 4 through radio transmitter 5 and wireless receiving circuit 6; Described outer synchronous TTL circuit 7 sends triggering signal to described logic control circuit 4; Described receiving and displaying device 8 receives brain electricity digital signal, carries out corresponding waveform display, data store.
Embodiment 2: as Figure 1-3, a kind of wireless brain wave acquisition device, comprises electrode for encephalograms 1, electroencephalogramsignal signal pre-processing 2, analog to digital conversion circuit 3, logic control circuit 4, radio transmitter 5, wireless receiving circuit 6, outer synchronous TTL circuit 7 and receiving and displaying device 8; The number of described electrode for encephalograms 1 is for being more than or equal to four, and described electrode for encephalograms 1 is dry electrode, and each electrode for encephalograms 1 is man-to-man to be connected with electroencephalogramsignal signal pre-processing 2; Described electroencephalogramsignal signal pre-processing 2 comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing 2 carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms 1; Described electroencephalogramsignal signal pre-processing 2 is connected with analog-digital conversion circuit as described 3, and described logic control circuit 4 connects analog to digital conversion circuit 3, outer synchronous TTL circuit 7 and radio transmitter 5 respectively; Analog-digital conversion circuit as described 3 converts brain electricity digital signal for being amplified by electroencephalogramsignal signal pre-processing 2 to filtered EEG signals; After described logic control circuit 4 receives the triggering signal of described outer synchronous TTL circuit 7, analog-digital conversion circuit as described 3 carries out signals collecting to described electrode for encephalograms 1, is passed to receiving and displaying device 8 after brain electricity digital signal cushions packing in described logic control circuit 4 through radio transmitter 5 and wireless receiving circuit 6; Described outer synchronous TTL circuit 7 sends triggering signal to described logic control circuit 4; Described receiving and displaying device 8 receives brain electricity digital signal, carries out corresponding waveform display, data store.
Described electrode for encephalograms 1 is the dry electrode of micropin formula.
Embodiment 3: as Figure 1-3, a kind of wireless brain wave acquisition device, comprises electrode for encephalograms 1, electroencephalogramsignal signal pre-processing 2, analog to digital conversion circuit 3, logic control circuit 4, radio transmitter 5, wireless receiving circuit 6, outer synchronous TTL circuit 7 and receiving and displaying device 8; The number of described electrode for encephalograms 1 is for being more than or equal to four, and described electrode for encephalograms 1 is dry electrode, and each electrode for encephalograms 1 is man-to-man to be connected with electroencephalogramsignal signal pre-processing 2; Described electroencephalogramsignal signal pre-processing 2 comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing 2 carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms 1; Described electroencephalogramsignal signal pre-processing 2 is connected with analog-digital conversion circuit as described 3, and described logic control circuit 4 connects analog to digital conversion circuit 3, outer synchronous TTL circuit 7 and radio transmitter 5 respectively; Analog-digital conversion circuit as described 3 converts brain electricity digital signal for being amplified by electroencephalogramsignal signal pre-processing 2 to filtered EEG signals; After described logic control circuit 4 receives the triggering signal of described outer synchronous TTL circuit 7, analog-digital conversion circuit as described 3 carries out signals collecting to described electrode for encephalograms 1, is passed to receiving and displaying device 8 after brain electricity digital signal cushions packing in described logic control circuit 4 through radio transmitter 5 and wireless receiving circuit 6; Described outer synchronous TTL circuit 7 sends triggering signal to described logic control circuit 4; Described receiving and displaying device 8 receives brain electricity digital signal, carries out corresponding waveform display, data store.
Described electrode for encephalograms 1 is the dry electrode of micropin formula.
The signal amplification circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts one-level amplifying circuit 21, second amplifying circuit 23, three-stage amplifier 26, and these three amplifying circuits all use differential amplifier circuit to be used for EEG signals to amplify.
Embodiment 4: as Figure 1-3, a kind of wireless brain wave acquisition device, comprises electrode for encephalograms 1, electroencephalogramsignal signal pre-processing 2, analog to digital conversion circuit 3, logic control circuit 4, radio transmitter 5, wireless receiving circuit 6, outer synchronous TTL circuit 7 and receiving and displaying device 8; The number of described electrode for encephalograms 1 is for being more than or equal to four, and described electrode for encephalograms 1 is dry electrode, and each electrode for encephalograms 1 is man-to-man to be connected with electroencephalogramsignal signal pre-processing 2; Described electroencephalogramsignal signal pre-processing 2 comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing 2 carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms 1; Described electroencephalogramsignal signal pre-processing 2 is connected with analog-digital conversion circuit as described 3, and described logic control circuit 4 connects analog to digital conversion circuit 3, outer synchronous TTL circuit 7 and radio transmitter 5 respectively; Analog-digital conversion circuit as described 3 converts brain electricity digital signal for being amplified by electroencephalogramsignal signal pre-processing 2 to filtered EEG signals; After described logic control circuit 4 receives the triggering signal of described outer synchronous TTL circuit 7, analog-digital conversion circuit as described 3 carries out signals collecting to described electrode for encephalograms 1, is passed to receiving and displaying device 8 after brain electricity digital signal cushions packing in described logic control circuit 4 through radio transmitter 5 and wireless receiving circuit 6; Described outer synchronous TTL circuit 7 sends triggering signal to described logic control circuit 4; Described receiving and displaying device 8 receives brain electricity digital signal, carries out corresponding waveform display, data store.
Described electrode for encephalograms 1 is the dry electrode of micropin formula.
The signal amplification circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts one-level amplifying circuit 21, second amplifying circuit 23, three-stage amplifier 26, and these three amplifying circuits all use differential amplifier circuit to be used for EEG signals to amplify.
The filter circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts low-pass filter circuit 24, high-pass filtering circuit 22,50Hz power frequency filter circuit 25 for realizing the pretreatment of signal;
Described low-pass filter circuit 24 adopts 100Hz low-pass filter circuit, and 100Hz low-pass filter circuit adopts quadravalence Butterworth low pass wave circuit;
Described high-pass filtering circuit 22 adopts 0.1Hz high-pass filtering circuit, and 0.1Hz high-pass filtering circuit adopts RC high-pass filtering circuit to be used for the EEG signals of filtration frequencies higher than 0.1Hz;
Described 50Hz power frequency filter circuit 25 is for VCVS rejector circuit is for filtering 50Hz Hz noise.
Embodiment 5: as Figure 1-3, a kind of wireless brain wave acquisition device, comprises electrode for encephalograms 1, electroencephalogramsignal signal pre-processing 2, analog to digital conversion circuit 3, logic control circuit 4, radio transmitter 5, wireless receiving circuit 6, outer synchronous TTL circuit 7 and receiving and displaying device 8; The number of described electrode for encephalograms 1 is for being more than or equal to four, and described electrode for encephalograms 1 is dry electrode, and each electrode for encephalograms 1 is man-to-man to be connected with electroencephalogramsignal signal pre-processing 2; Described electroencephalogramsignal signal pre-processing 2 comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing 2 carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms 1; Described electroencephalogramsignal signal pre-processing 2 is connected with analog-digital conversion circuit as described 3, and described logic control circuit 4 connects analog to digital conversion circuit 3, outer synchronous TTL circuit 7 and radio transmitter 5 respectively; Analog-digital conversion circuit as described 3 converts brain electricity digital signal for being amplified by electroencephalogramsignal signal pre-processing 2 to filtered EEG signals; After described logic control circuit 4 receives the triggering signal of described outer synchronous TTL circuit 7, analog-digital conversion circuit as described 3 carries out signals collecting to described electrode for encephalograms 1, is passed to receiving and displaying device 8 after brain electricity digital signal cushions packing in described logic control circuit 4 through radio transmitter 5 and wireless receiving circuit 6; Described outer synchronous TTL circuit 7 sends triggering signal to described logic control circuit 4; Described receiving and displaying device 8 receives brain electricity digital signal, carries out corresponding waveform display, data store.
Described electrode for encephalograms 1 is the dry electrode of micropin formula.
The signal amplification circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts one-level amplifying circuit 21, second amplifying circuit 23, three-stage amplifier 26, and these three amplifying circuits all use differential amplifier circuit to be used for EEG signals to amplify.
The filter circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts low-pass filter circuit 24, high-pass filtering circuit 22,50Hz power frequency filter circuit 25 for realizing the pretreatment of signal;
Described low-pass filter circuit 24 adopts 100Hz low-pass filter circuit, and 100Hz low-pass filter circuit adopts quadravalence Butterworth low pass wave circuit;
Described high-pass filtering circuit 22 adopts 0.1Hz high-pass filtering circuit, and 0.1Hz high-pass filtering circuit adopts RC high-pass filtering circuit to be used for the EEG signals of filtration frequencies higher than 0.1Hz;
Described 50Hz power frequency filter circuit 25 is for VCVS rejector circuit is for filtering 50Hz Hz noise.
Described radio transmitter 5 and wireless receiving circuit 6 adopt wireless radio transmission receiving circuit.
Embodiment 6: as Figure 1-3, a kind of wireless brain wave acquisition device, comprises electrode for encephalograms 1, electroencephalogramsignal signal pre-processing 2, analog to digital conversion circuit 3, logic control circuit 4, radio transmitter 5, wireless receiving circuit 6, outer synchronous TTL circuit 7 and receiving and displaying device 8; The number of described electrode for encephalograms 1 is for being more than or equal to four, and described electrode for encephalograms 1 is dry electrode, and each electrode for encephalograms 1 is man-to-man to be connected with electroencephalogramsignal signal pre-processing 2; Described electroencephalogramsignal signal pre-processing 2 comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing 2 carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms 1; Described electroencephalogramsignal signal pre-processing 2 is connected with analog-digital conversion circuit as described 3, and described logic control circuit 4 connects analog to digital conversion circuit 3, outer synchronous TTL circuit 7 and radio transmitter 5 respectively; Analog-digital conversion circuit as described 3 converts brain electricity digital signal for being amplified by electroencephalogramsignal signal pre-processing 2 to filtered EEG signals; After described logic control circuit 4 receives the triggering signal of described outer synchronous TTL circuit 7, analog-digital conversion circuit as described 3 carries out signals collecting to described electrode for encephalograms 1, is passed to receiving and displaying device 8 after brain electricity digital signal cushions packing in described logic control circuit 4 through radio transmitter 5 and wireless receiving circuit 6; Described outer synchronous TTL circuit 7 sends triggering signal to described logic control circuit 4; Described receiving and displaying device 8 receives brain electricity digital signal, carries out corresponding waveform display, data store.
Described electrode for encephalograms 1 is the dry electrode of micropin formula.
The signal amplification circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts one-level amplifying circuit 21, second amplifying circuit 23, three-stage amplifier 26, and these three amplifying circuits all use differential amplifier circuit to be used for EEG signals to amplify.
The filter circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts low-pass filter circuit 24, high-pass filtering circuit 22,50Hz power frequency filter circuit 25 for realizing the pretreatment of signal;
Described low-pass filter circuit 24 adopts 100Hz low-pass filter circuit, and 100Hz low-pass filter circuit adopts quadravalence Butterworth low pass wave circuit;
Described high-pass filtering circuit 22 adopts 0.1Hz high-pass filtering circuit, and 0.1Hz high-pass filtering circuit adopts RC high-pass filtering circuit to be used for the EEG signals of filtration frequencies higher than 0.1Hz;
Described 50Hz power frequency filter circuit 25 is for VCVS rejector circuit is for filtering 50Hz Hz noise.
Described radio transmitter 5 and wireless receiving circuit 6 adopt wireless radio transmission receiving circuit.
Described logic control circuit 4 is realized by dsp chip.
Embodiment 7: as Figure 1-3, a kind of wireless brain wave acquisition device, comprises electrode for encephalograms 1, electroencephalogramsignal signal pre-processing 2, analog to digital conversion circuit 3, logic control circuit 4, radio transmitter 5, wireless receiving circuit 6, outer synchronous TTL circuit 7 and receiving and displaying device 8; The number of described electrode for encephalograms 1 is for being more than or equal to four, and described electrode for encephalograms 1 is dry electrode, and each electrode for encephalograms 1 is man-to-man to be connected with electroencephalogramsignal signal pre-processing 2; Described electroencephalogramsignal signal pre-processing 2 comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing 2 carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms 1; Described electroencephalogramsignal signal pre-processing 2 is connected with analog-digital conversion circuit as described 3, and described logic control circuit 4 connects analog to digital conversion circuit 3, outer synchronous TTL circuit 7 and radio transmitter 5 respectively; Analog-digital conversion circuit as described 3 converts brain electricity digital signal for being amplified by electroencephalogramsignal signal pre-processing 2 to filtered EEG signals; After described logic control circuit 4 receives the triggering signal of described outer synchronous TTL circuit 7, analog-digital conversion circuit as described 3 carries out signals collecting to described electrode for encephalograms 1, is passed to receiving and displaying device 8 after brain electricity digital signal cushions packing in described logic control circuit 4 through radio transmitter 5 and wireless receiving circuit 6; Described outer synchronous TTL circuit 7 sends triggering signal to described logic control circuit 4; Described receiving and displaying device 8 receives brain electricity digital signal, carries out corresponding waveform display, data store.
Described electrode for encephalograms 1 is the dry electrode of micropin formula.
The signal amplification circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts one-level amplifying circuit 21, second amplifying circuit 23, three-stage amplifier 26, and these three amplifying circuits all use differential amplifier circuit to be used for EEG signals to amplify.
The filter circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts low-pass filter circuit 24, high-pass filtering circuit 22,50Hz power frequency filter circuit 25 for realizing the pretreatment of signal;
Described low-pass filter circuit 24 adopts 100Hz low-pass filter circuit, and 100Hz low-pass filter circuit adopts quadravalence Butterworth low pass wave circuit;
Described high-pass filtering circuit 22 adopts 0.1Hz high-pass filtering circuit, and 0.1Hz high-pass filtering circuit adopts RC high-pass filtering circuit to be used for the EEG signals of filtration frequencies higher than 0.1Hz;
Described 50Hz power frequency filter circuit 25 is for VCVS rejector circuit is for filtering 50Hz Hz noise.
Described radio transmitter 5 and wireless receiving circuit 6 adopt wireless radio transmission receiving circuit.
Described logic control circuit 4 is realized by dsp chip.
Described receiving and displaying device 8 can adopt the computer based on the BCILAB platform of MATLAB to realize the analysis and treament of data, BCILAB is a workbox of MATLAB, it is a kind of platform being specifically designed to design, test, experiment and assessing brain-computer interface, interior containing multiple eeg data Processing Algorithm, as eeg data Preprocessing Algorithm, feature extraction algorithm and pattern classification algorithm etc., the analysis and treament of eeg data can be carried out.
Embodiment 8: as Figure 1-3, a kind of wireless brain wave acquisition device, comprises electrode for encephalograms 1, electroencephalogramsignal signal pre-processing 2, analog to digital conversion circuit 3, logic control circuit 4, radio transmitter 5, wireless receiving circuit 6, outer synchronous TTL circuit 7 and receiving and displaying device 8; The number of described electrode for encephalograms 1 is for being more than or equal to four, and described electrode for encephalograms 1 is dry electrode, and each electrode for encephalograms 1 is man-to-man to be connected with electroencephalogramsignal signal pre-processing 2; Described electroencephalogramsignal signal pre-processing 2 comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing 2 carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms 1; Described electroencephalogramsignal signal pre-processing 2 is connected with analog-digital conversion circuit as described 3, and described logic control circuit 4 connects analog to digital conversion circuit 3, outer synchronous TTL circuit 7 and radio transmitter 5 respectively; Analog-digital conversion circuit as described 3 converts brain electricity digital signal for being amplified by electroencephalogramsignal signal pre-processing 2 to filtered EEG signals; After described logic control circuit 4 receives the triggering signal of described outer synchronous TTL circuit 7, analog-digital conversion circuit as described 3 carries out signals collecting to described electrode for encephalograms 1, is passed to receiving and displaying device 8 after brain electricity digital signal cushions packing in described logic control circuit 4 through radio transmitter 5 and wireless receiving circuit 6; Described outer synchronous TTL circuit 7 sends triggering signal to described logic control circuit 4; Described receiving and displaying device 8 receives brain electricity digital signal, carries out corresponding waveform display, data store.
Described electrode for encephalograms 1 is the dry electrode of micropin formula.
The signal amplification circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts one-level amplifying circuit 21, second amplifying circuit 23, three-stage amplifier 26, and these three amplifying circuits all use differential amplifier circuit to be used for EEG signals to amplify.
These three amplifying circuits use AD620AN, LT1464CN8 and OP482 amplification chip respectively successively.
The filter circuit that described electroencephalogramsignal signal pre-processing 2 comprises adopts low-pass filter circuit 24, high-pass filtering circuit 22,50Hz power frequency filter circuit 25 for realizing the pretreatment of signal;
Described low-pass filter circuit 24 adopts 100Hz low-pass filter circuit, and 100Hz low-pass filter circuit adopts quadravalence Butterworth low pass wave circuit;
Described high-pass filtering circuit 22 adopts 0.1Hz high-pass filtering circuit, and 0.1Hz high-pass filtering circuit adopts RC high-pass filtering circuit to be used for the EEG signals of filtration frequencies higher than 0.1Hz;
Described 50Hz power frequency filter circuit 25 is for VCVS rejector circuit is for filtering 50Hz Hz noise.
Described high-pass filtering circuit 22 is placed between one-level amplifying circuit 21 and second amplifying circuit 23, and for isolation from polarization of electrode voltage, the frequency of trap signal is greater than 0.1Hz.Low-pass filter circuit 24 adopts quadravalence Butterworth low pass wave circuit, and the frequency of trap signal is less than 100Hz.
Described radio transmitter 5 and wireless receiving circuit 6 adopt wireless radio transmission receiving circuit.
Described logic control circuit 4 is realized by dsp chip, and model is TMS320VC5402.The McBSP mouth of DSP is connected with the 4 passage A/D converters of 12.
Analog-digital conversion circuit as described 3 adopts the TLV2544 of TI company, and this chip is 12 4 channel serial COMS A/D converters, has power saving operational mode, amplification and filtered EEG signals is converted to brain electricity digital signal.
Described receiving and displaying device 8 can adopt the computer based on the BCILAB platform of MATLAB to realize the analysis and treament of data, BCILAB is a workbox of MATLAB, it is a kind of platform being specifically designed to design, test, experiment and assessing brain-computer interface, interior containing multiple eeg data Processing Algorithm, as eeg data Preprocessing Algorithm, feature extraction algorithm and pattern classification algorithm etc., the analysis and treament of eeg data can be carried out.
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 (6)
1. a wireless brain wave acquisition device, is characterized in that: comprise electrode for encephalograms (1), electroencephalogramsignal signal pre-processing (2), analog to digital conversion circuit (3), logic control circuit (4), radio transmitter (5), wireless receiving circuit (6), outer synchronous TTL circuit (7) and receiving and displaying device (8); The number of described electrode for encephalograms (1) is for being more than or equal to four, and described electrode for encephalograms (1) is dry electrode, and each electrode for encephalograms (1) is man-to-man to be connected with electroencephalogramsignal signal pre-processing (2); Described electroencephalogramsignal signal pre-processing (2) comprises signal amplification circuit and filter circuit; Electroencephalogramsignal signal pre-processing (2) carries out amplifying and filtering for the EEG signals gathered by described electrode for encephalograms (1); Described electroencephalogramsignal signal pre-processing (2) is connected with analog-digital conversion circuit as described (3), and described logic control circuit (4) connects analog to digital conversion circuit (3), outer synchronous TTL circuit (7) and radio transmitter (5) respectively; Analog-digital conversion circuit as described (3) is for converting electroencephalogramsignal signal pre-processing (2) amplification and filtered EEG signals to brain electricity digital signal; After described logic control circuit (4) receives the triggering signal of described outer synchronous TTL circuit (7), analog-digital conversion circuit as described (3) carries out signals collecting to described electrode for encephalograms (1), is passed to receiving and displaying device (8) after brain electricity digital signal cushions packing in described logic control circuit (4) through radio transmitter (5) and wireless receiving circuit (6); Described outer synchronous TTL circuit (7) sends triggering signal to described logic control circuit (4); Described receiving and displaying device (8) receives brain electricity digital signal, carries out corresponding waveform display, data store.
2. wireless brain wave acquisition device according to claim 1, is characterized in that: described electrode for encephalograms (1) is the dry electrode of micropin formula.
3. wireless brain wave acquisition device according to claim 1, it is characterized in that: the signal amplification circuit that described electroencephalogramsignal signal pre-processing (2) comprises adopts one-level amplifying circuit (21), second amplifying circuit (23), three-stage amplifier (26), and these three amplifying circuits all use differential amplifier circuit to be used for EEG signals to amplify.
4. wireless brain wave acquisition device according to claim 1, is characterized in that: the filter circuit that described electroencephalogramsignal signal pre-processing (2) comprises adopts low-pass filter circuit (24), high-pass filtering circuit (22), 50Hz power frequency filter circuit (25) for realizing the pretreatment of signal;
Described low-pass filter circuit (24) adopts 100Hz low-pass filter circuit, and 100Hz low-pass filter circuit adopts quadravalence Butterworth low pass wave circuit;
Described high-pass filtering circuit (22) adopts 0.1Hz high-pass filtering circuit, and 0.1Hz high-pass filtering circuit adopts RC high-pass filtering circuit to be used for the EEG signals of filtration frequencies higher than 0.1Hz;
Described 50Hz power frequency filter circuit (25) is for VCVS rejector circuit is for filtering 50Hz Hz noise.
5. wireless brain wave acquisition device according to claim 1, is characterized in that: described radio transmitter (5) and wireless receiving circuit (6) adopt wireless radio transmission receiving circuit.
6. wireless brain wave acquisition device according to claim 1, is characterized in that: described logic control circuit (4) is realized by dsp chip.
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| CN201420672970.1U CN204318755U (en) | 2014-11-12 | 2014-11-12 | A kind of wireless brain wave acquisition device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104887223A (en) * | 2015-05-27 | 2015-09-09 | 杭州回车电子科技有限公司 | Wireless dry electrode EEG collection and action recognition method and system |
| CN107789718A (en) * | 2017-11-23 | 2018-03-13 | 深圳佳莱知家科技有限公司 | A kind of Intelligent sleep-assisting system |
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2014
- 2014-11-12 CN CN201420672970.1U patent/CN204318755U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104887223A (en) * | 2015-05-27 | 2015-09-09 | 杭州回车电子科技有限公司 | Wireless dry electrode EEG collection and action recognition method and system |
| CN107789718A (en) * | 2017-11-23 | 2018-03-13 | 深圳佳莱知家科技有限公司 | A kind of Intelligent sleep-assisting system |
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