CN1065540A - Three-dimensional mapping device for stereo brain display - Google Patents
Three-dimensional mapping device for stereo brain display Download PDFInfo
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- CN1065540A CN1065540A CN 91111816 CN91111816A CN1065540A CN 1065540 A CN1065540 A CN 1065540A CN 91111816 CN91111816 CN 91111816 CN 91111816 A CN91111816 A CN 91111816A CN 1065540 A CN1065540 A CN 1065540A
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Abstract
The objective of the invention is with computing machine provides a kind of three-dimensional mapping device for stereo brain display by the 3 D stereo display model based on a true human brain of the curved surface fitting method of self-adapting subdividing structure.The three-dimensional eeg topomap shows the magnitude variations distribution color display packing adopted the young waiter in a wineshop or an inn surplus interpolation method of three dimensions and to have had three-dimensional stereopsis.The three-dimensional brain display model can arbitrarily rotate; The present invention can be provided with the electrode riding position arbitrarily, can distribute with each frequency range different capacity spectrum of any position of the accurate locating and displaying brain of color form, can make the three-dimensional brain display model embody three-dimensional stereo effect again.
Description
The present invention relates to a kind of brain electricity Computer Processing and demonstration and particularly the biopotential of brain is presented at device on the Computerized three-dimensional brain model with different colors.
Known electroencephalograph (EEG) is with recording stylus the multilead electrode EEG signals to be recorded on the paper; The supervisory personnel analyzes time domain waveform to check patient's brain diseases; The ability of this each conductive electrode signal of test mode analysis-by-synthesis, inconvenient visual pattern interpretation, and waste paper.
For addressing the above problem, improved method is to utilize the hardware of electronical computer and software engineering that each conductive electrode signal is gathered, the power spectrum of FFT conversion and each frequency range calculates, and the different capacity spectrum value of each frequency range shown with different colors in shape zone, garden, plane, to represent the variation of each position current potential of brain.Here use the display model of garden, plane as true human brain, this technology is referred to as two-dimensional brain electricity landform.This two-dimensional brain electrical activity mapping can not accurately show the Potential distribution situation of forehead, two temporos district, occipitalia and basis cranii, tends to bring wrong judgement in clinical practice is used.Be head it off Ceng Youyong brain side two-dimensional projection models show temporo district brain electrical activity mapping, but still can not fundamentally solve the defective that two dimensional surface shows.
The objective of the invention is 3 D stereo display model, a kind of three-dimensional mapping device for stereo brain display is provided with a real human brain of computer construction.It can be provided with the electrode riding position arbitrarily, so that accurately each frequency range different capacity spectrum of any position of locating and displaying brain distributes.
Technical scheme of the present invention is: three-dimensional mapping device for stereo brain display is by conventional electroencephalograph or prime amplifier (1), multichannel A/D converter (2), computing machine (3), display (4) and color-output device (5) are formed, particularly by computer construction a three-dimensional brain display model.
The structure of this three-dimensional brain display model has particularly adopted the curved surface fitting method based on self-adapting subdividing, its concrete practice is: do a true brain model with gypsum, obtain 30~40 layers of profile data with CT scan, begin with more coarse model of low volume data structure, automatically use the more data configuration should the zone then gradually again in the zone of needs segmentations, these zones that need segment are exactly those zones of keeping off true model, and with Berasteln-Bezler bicubic parametric surface equation representing as the brain model surface.Just can obtain optimum three-dimensional brain display model under certain index through several times choosing generation back.This three-dimensional brain display model is made up of little patch.The position of each little patch and normal orientation are all known, and the three-dimensional brain display model can be around any spatial axes rotation.
Lead EEG signals from 16~32 of patient head acquisition on the other hand and add up, obtain the power spectral value of 16~32 electrode position points of 4 frequency ranges through FFT conversion and each frequency band power.The power spectral value of non-electrode position is obtained by three dimensions least square interpolation method especially.
At last, with the value distribution color display packing that has three-dimensional stereopsis the variation of each frequency band power spectrum value of brain is shown on the three-dimensional brain display model with different colors especially, make the three-dimensional brain display model can embody three-dimensional stereopsis, can show each regional Potential distribution situation of brain again.The concrete practice is: the power spectral value of supposing certain little patch S is V, normal vector be (m, n, q).Normal orientation is a with the space angle of setting light source direction, with the computing machine color representation H-S-L(of system tone-saturation degree-light intensity) realize the color displaying scheme.Promptly with the variation of tone component H performance power spectral value, L embodies three-dimensional stereopsis with the light strong component, and the saturation degree component is selected suitable constant.
The present invention has constructed a true brain display model owing to having adopted based on the curved surface fitting method of self-adapting subdividing, than the more approaching actual brain of the planimetric map display model of known two-dimensional brain electrical activity mapping, and owing to adopted the surplus interpolation method of the young waiter in a wineshop or an inn of three dimensions, therefore more accurate aspect the power spectrum interpolation calculation, in addition owing to adopted the magnitude variations distribution color display packing that has three-dimensional stereopsis, therefore more accurate aspect position observation human brain potential change, and can demonstrate some brain region (foreheads that the two-dimensional brain electrical activity mapping can't show, two temporos district, occipital region and basis cranii face) potential change; Can accomplish in addition the electrode riding position arbitrarily is set that so that observe the neuroelectricity distribution situation of region of interest in detail, this also known two-dimensional brain electrical activity mapping can't be accomplished.
Following accompanying drawing has been described a specific embodiment of the present invention.
Fig. 1 is a hardware structure diagram of the present invention.
Fig. 2 is a groundwork process flow diagram of the present invention.
In Fig. 1, described all hardware composition of the present invention, annexation and signal flow to.
Conventional electroencephalograph or prime amplifier (1) can be chosen wantonly wherein a kind of, and 16 conductive electrode are preferably arranged, through be amplified to ± EEG signals within 5 volts from then on.EEG signals is carried out mould/number conversion through multichannel A/D converter (2), and the port number of multichannel A/D converter (2) preferably also is 16, so that mate with (1), sampling precision is 8~12bits, and every passage minimum sample rate is not less than 120Hz.Multichannel A/D converter (2) must have two tunnel simulating signals output in addition, so that conventional electroencephalograph or prime amplifier and vision or acoustic stimuli device are controlled.
Microcomputer (3) is the core component of apparatus of the present invention, it is used for reconstruction of three-dimensional brain display model, handle eeg data, finishing the processing of three-dimensional eeg landform calculates and whole device is implemented to control and coordinate, because calculated amount is very big, preferably select as 386 above types,, the above amount of ram of 6M is arranged preferably also because its procedure quantity and data volume are bigger.The three-dimensional eeg topomap shows by graphoscope (4), and graphoscope (4) has 480 * 640 display resolution and abundant colors level (having 256 kinds at least) at least.Color-output device (5) is used to export display result and audit report, so that permanent the reservation requires to have more rich gradation.
Groundwork flow process of the present invention has been described in Fig. 2.At first be the foundation (1) of three-dimensional brain display model, one of them special character of the present invention is exactly to use the curved surface fitting method based on self-adapting subdividing that the CT layer data is reconstructed into the three-dimensional brain display model.The concrete steps of its method are to begin with more coarse model of low volume data structure, automatically use the more data configuration should the zone then gradually again in the zone of needs segmentations, these zones that need segment are exactly those zones of keeping off true model, and represent as the brain model surface with Bernstein-Bezier bicubic parametric surface equation.Through just obtaining optimum three-dimensional brain display model under certain index after the several times iteration.The advantage of the method is that segmentation has locality, has therefore reduced many calculated amount.
The three-dimensional brain display model is set up take the form of the three-dimensional position P that calculated each little patch S on the brain display model and this patch normal vector (m, n, q), and this normal vector and the space angle a that sets light source direction.
It is carrying out with reference to mode altogether, whenever to lead sampling rate and be not less than 120Hz that EEG signals is obtained (2), and the sampling time is 3~10 minutes.
EEG Processing (3) comprises FFT conversion and the calculating of each frequency band power spectrum.The FFT conversion is that the eeg data of picking out 5~20 sections no artifacts from 3~10 minutes carries out respectively, and every hop count strong point is 512, and asks it on average to obtain the average frequency spectrum characteristic.By the frequency range division rule, calculate the power spectral value of whenever leading 4 frequency ranges of eeg data then.
The three dimensions least square interpolation method that non-electrode position point EEG power spectrum value (4) has adopted the inventor to propose, this also is one of characteristic of the present invention.The specific embodiments of three dimensions least square interpolation method is: suppose that 16 electrode position coordinates and power spectral value are known, i.e. (Xei, Yei, Zei, Vei) (i=0,1 ... 15) known, now ask arbitrfary point P(a on the three-dimensional brain display model, b, power spectral value V c), construct one about a, the quadratic function of b and c:
Fj(j=0 wherein, 1 ..., 9) and be undetermined coefficient;
Construct an error function again:
Di=(Xei-a wherein)
2+ (Yei-b)
2+ (Zei-c)
2(i=0,1 ..., 15) and (3)
-di/B
W(di)=e (4)
Wherein B be di(i=0,1,2 ... 15) mean value.
Ask the extreme value of error function then, promptly ask Q about fj(j=0,1 ..., 9) partial differential, and to make it be zero, obtain following about coefficient fj(j=0,1 ..., 9) system of linear equations:
Find the solution this side and organize the coefficient fj(j=0 that obtains above-mentioned quadratic function, 1 ..., 9).
Therefore just can obtain the power spectral value V of a P by (1) formula.
The three-dimensional eeg topomap shows that (5) are final goals of the present invention, and this demonstration can show each regional brain electricity distribution situation of brain on the three-dimensional brain display model, can embody the three-dimensional stereo effect of three-dimensional brain display model again.This is a maximum feature of the present invention.Be the magnitude variations distribution color display packing that has three-dimensional stereopsis that realizes that this purpose has adopted the inventor to propose.The basic thought of this method is: represent different capacity spectrum value on each little patch of three-dimensional brain display model with various different colors, again according to the normal orientation of this little patch and the space angle size of setting light source direction, the variation that imposes the light and shade of this color embodies 3-D effect, and this display technique has been simulated in the actual life certain object color light and shade and changed and can embody relief visual phenomenon.The concrete practice is: represent to select for use in the system H-S-L(tone-saturation degree-light intensity in numerous computer color) as color representation of the present invention system.With power spectral value V control tone component ch, with little patch normal orientation and the space angle α control light intensity component cl that sets light source direction, constant saturation component cs.
Be the color component Sch of little patch S, Scs, Scl(tone component, saturation degree component, light intensity component) can obtain by following formula:
Sch=(Hm/Vm)V (6)
The suitable constant of Scs=(7)
Scl=LmCOS(a) (8)
Wherein Hm is the maximal value of tone, and Vm is a peak power spectrum value, and Lm is the largest light intensity value.
Claims (4)
1, a kind of by conventional electroencephalograph or prime amplifier (1), multichannel A/D converter (2), computing machine (3), the three-dimensional mapping device for stereo brain display that graphoscope (4) and color-output device (5) are formed is characterized in that with computer construction a three-dimensional brain display model.
2, according to the described three-dimensional mapping device for stereo brain display of claim 1, the structure that it is characterized in that the three-dimensional brain display model has adopted the curved surface fitting method based on self-adapting subdividing.
3, device according to claim 1 and 2 is characterized in that the three-dimensional eeg topomap shows to have adopted the value distribution color display packing that has three-dimensional stereopsis.
4, device according to claim 1, the power spectral value that it is characterized in that non-electrode position are to obtain by three dimensions least square interpolation method.
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CN 91111816 CN1065540A (en) | 1991-12-25 | 1991-12-25 | Three-dimensional mapping device for stereo brain display |
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CN 91111816 CN1065540A (en) | 1991-12-25 | 1991-12-25 | Three-dimensional mapping device for stereo brain display |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101889862A (en) * | 2010-02-09 | 2010-11-24 | 北京天海元科技有限公司 | Three-dimensional scanning body electrographic apparatus used for detecting human body functions and detection method thereof |
CN108992065A (en) * | 2018-08-24 | 2018-12-14 | 天津医科大学 | Brain wave energy visualization equipment |
CN111067513A (en) * | 2019-12-11 | 2020-04-28 | 杭州电子科技大学 | Sleep quality detection key brain area judgment method based on characteristic weight self-learning |
-
1991
- 1991-12-25 CN CN 91111816 patent/CN1065540A/en active Pending
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101889862A (en) * | 2010-02-09 | 2010-11-24 | 北京天海元科技有限公司 | Three-dimensional scanning body electrographic apparatus used for detecting human body functions and detection method thereof |
CN108992065A (en) * | 2018-08-24 | 2018-12-14 | 天津医科大学 | Brain wave energy visualization equipment |
CN111067513A (en) * | 2019-12-11 | 2020-04-28 | 杭州电子科技大学 | Sleep quality detection key brain area judgment method based on characteristic weight self-learning |
CN111067513B (en) * | 2019-12-11 | 2022-08-23 | 杭州电子科技大学 | Sleep quality detection key brain area judgment method based on characteristic weight self-learning |
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