CN109875507A - A kind of positioning of the area Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network - Google Patents
A kind of positioning of the area Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network Download PDFInfo
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Abstract
A kind of positioning of the area Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network, its step are as follows: one, pre-processing to epileptic's ECoG data；Two, it is analyzed by CFC, calculates the MI between LFOs and HFOs；Three, significance test is carried out to MI, establishes ECoG network；Four, it according to network characterization, finds high risk site, finds the area locality Zhi Xian and the potential area Zhi Xian；Pass through above step, the present invention finds the area local Zhi Xian and the potential area Zhi Xian from the angle of system, and in view of the influence of the individual difference of patient and basic brain function network, epilepsy fault network is established for neuron oscillation extremely, proposes a kind of positioning of the area local Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network；The present invention has systematicness, robustness and early warning, and result of study will position the area Zhi Xian and the prediction of the potential area Zhi Xian provides strong method and supports.
Description
Technical field
The present invention provides a kind of positioning of the area Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network, it is related to
One kind based on cortical neuron extremely oscillation (being considered as the failure in brain function) under phase width coupling network the area Zhi Xian positioning and
The potential area Zhi Xian prediction technique is Complex Networks Theory and biomedical interleaving techniques field.
Background technique
Epilepsy is a kind of diversified chronic neurological disorders, and characterized by epileptic attack, there are about 1% people in the whole world
With epilepsy, it is the third-largest principal element of global the nervous system disease burden, influences global 65,000,000 people.Epileptic condition patient
It is usually controlled by drug appropriate, but about 30% epileptic is not had using best drug epileptic attack yet
To good control.Another the effective means treated to epilepsy are the determining areas Zhi Xian, and carry out operation and cut art, this
The key of technology is the accurate determining area Zhi Xian, and carries out operation excision.If focal zone excision is not complete, patient is postoperative can be secondary insane
Epilepsy, if but cut off excessively, other brain zone functions of patient can be caused to lack, even result in serious neurological dysfunction.Therefore,
How to be accurately positioned epileptic focus area is the key that operative treatment epileptic attack.But there is presently no a kind of technology of maturation and
The area Zhi Xian can be accurately positioned in method.
In addition to this, in Epilepsy Surgery case, the relationship of the excision area Zhi Xian and epilepsy postoperative effect is simultaneously less simple:
The epileptic of a nearest large studies have shown that 22% has cut off breaking-out sintering and has originally thought that surgical effect can be very good, thing
Still there is simple partial seizure in reality；31% patient has complicated recurrence.The patient of postoperative recurrence, the area Zhi Xian hair
Change is given birth to；The clinical manifestation of more some patient and electroencephalogram and imageological examination result are inconsistent.This shows that epilepsy is suffered from
It is not that single local focal area causes to break out, but there is complicated network in person's brain, the dynamics of this network is special
Point is to change in many Epilepsy Surgeries.Therefore, it currently needs a kind of reliable technical method of science and accurately determines the area Zhi Xian,
And carry out the prediction in the potential area Zhi Xian.
Human brain cortex is by about 1011A neuron passes through 1015A connection is formed, to form a complexity
Network.Cerebral cortex has the neuron for being largely connected with each other and interacting, and the activity of each neuron is all mutual
It is associated.The specificity that the paradoxical discharge of neuron can cause brain cortex neural to vibrate in epileptic's brain.In some frequency bands
Low frequency and the higher-order of oscillation be acknowledged as causing epileptic attack and epilepsy to start to break out the important biomolecule mark in region.
Imamura et al. and Kanazawa et al. had found at 2011 and 2015 respectively and confirm ictal low frequency oscillation (LFOs)
It is to cause the core reasons of epileptic attack with ictal high frequency oscillation (HFOs), LFOs and HFOs are considered as that epileptic attack is latent
Biological marker.
Between different frequency bands nerve oscillation be referred to as crossover frequency coupling (Cross-frequency coupling,
CFC), CFC is played an important role in the communication of researching neural network in terms of connection.Phase width couples (Phase-
Amplitude coupling, PAC) be CFC one of form of expression, the specific mechanism of this form is the phase of LFOs
The amplitude for modulating HFOs, the characteristics of because of its own, PAC has become the hot spot of the current area Zhi Xian Position Research.2014
Ibrahim et al. discovery is compared with the non-epilepsy area with local epilepsy patient, the amplitude of the pathologic higher-order of oscillation and and section
CFC between the phase of rule starts the area's apparent increase that breaks out in epilepsy；In addition, Guirgis et al. referred in 2015 with modulation
The method of number (MI) and feature decomposition proves that the higher-order of oscillation of modulation can provide for extratemporal epilepsy patient and more accurately causes epilepsy
Area's positioning.
However, these methods are suitable only for the positioning area locality Zhi Xian, influencing each other between focal area is had ignored,
The case where being lost the potential area Zhi Xian in part, causing epilepsy surgery postoperative recurrence.Modern network science discloses Normal brain net
The essential characteristic of network, such as worldlet (small world) mode, uncalibrated visual servo (scale free) mode, grade modularity
The features such as (hierarchical modularity), central node (Hubs) and Richman's Club (Rich clubs), connect down
The challenge come is how preferably to research and analyse brain diseases using these knowledge and be diagnosed, treated and predicted to it.
Brain network is researched and analysed with the correlation theories knowledge of complex network, is mentioned for diagnosis, treatment and the prediction of epileptic attack
Having supplied may.Due to magnetic resonance imaging (Magnetic Resonance Imaging, MRI), functional magnetic resonance imaging
The fast development of technologies such as (functional magnetic resonance imaging, fMRI), the weight of epileptic neural network research
Point is consistently placed on functional network.It is some studies have shown that compared with health volunteer, in epileptic's interictal, be based on brain
Electrograph (EEG) or the functional brain network of magneticencephalogram (MEG) building show abnormal regularization phenomenon.Although being based on function network
Network obtains certain progress to the research of epilepsy, however these progress application clinically or difficult.On the one hand,
The brain function network and structural network of people has the personalization of height, the conclusion that some researchers obtain in epilepsy cohort studies
It clinically tends not to obtain good effect；On the other hand, the paradoxical discharge of neuron is by complex but height group
The restriction of the topological structure of the base neural framework for knitting, this be submerged in the specificity of epileptic focus may outside structural network
Among the basic function network of change.In addition, the mapping relations of brain function network and structural network are still not clear, functional network it is different
Often point may there is no physiological and pathological exceptions.Therefore, the area the Zhi Xian positioning based on functional network is often not accurate enough.
In conclusion although localization method epileptic simple for treatment condition in the existing area Zhi Xian has certain effect
Fruit, but these area Zhi Xian localization methods do not account for connection natural between neuron, have ignored mutual between focal area
It influences.And the area the Zhi Xian positioning based on functional network cannot filter out the basic function of brain network, not for the failure of brain network,
Therefore we need to establish a kind of positioning of the area Zhi Xian and potential cause epilepsy based on abnormal oscillation network, that is, epilepsy fault network
Area's prediction technique.
The present invention obtains data from the true Cortical ECoG (ECoG) of epileptic, and ECoG data share M channel, right
The ECoG time series X (t) in each channel is filtered, and obtains low frequency signal XL(t) and high-frequency signal XH(t).Carry out Martin Hilb
Spy's transformation, obtains XL(t) phase angleAnd XH(t) amplitude AH(t).In time slice k, calculate currentUnder
Amplitude modulation distributionBased on KL distance, by Mk(j) and it is uniformly distributed the modulation index of calculating
MI,Each channel includes low frequency signal XM, L(t) and high-frequency signal XM, H(t), m=1,2 ..., M. will
XM, L(t) and XM, H(t) regard node, total 2M node as.It willAnd AM2, H(t) the modulation index MI betweenM1, m2Regard as
Side right, m1=1,2 ..., M, m2=1,2 ..., M. carry out risk ranking according to network characterization, to different loci, find locality
The area Zhi Xian.The potential area Zhi Xian prediction is carried out in conjunction with network characterization using priori knowledge.
Summary of the invention
(1) purpose invented
The purpose of the present invention is: for the positioning of the area Zhi Xian and the potential area Zhi Xian forecasting problem, caused to make up existing locality
The deficiency of epilepsy area witness marker object proposes that a kind of area local Zhi Xian based on phase width coupling network positions and dives from the angle of system
In the area Zhi Xian prediction technique, it is a kind of positioning of the area Zhi Xian and the potential area Zhi Xian prediction technique based on brain electric network, Ke Yiyou
The positioning area locality Zhi Xian and the potential area Zhi Xian of effect.
Theoretical basis of the invention: ictal LFOs and ictal HFOs is the core reasons for causing epileptic attack, HFOs
Amplitude and CFC between the phase of LFOs it is significantly raised in the epilepsy area that starts to break out.It is not list in epileptic's brain
A local focal area causes to break out, but there is complicated network.The connection between different lesions is studied, epilepsy failure is established
Network can reveal that the potential area Zhi Xian except the area locality Zhi Xian.
(2) technical solution
A kind of technical solution of the invention: positioning of the area Zhi Xian and the prediction of the potential area Zhi Xian based on phase width coupling network
Method.The present invention obtains data from epileptic ECoG record first, using filter by baseline interference and industrial frequency noise (50
Hertz) and harmonic noise elimination, complete data prediction；ECoG time series is filtered, low frequency signal and high frequency are obtained
Signal calculates the MI between LFOs and HFOs by the phase and the progress CFC analysis of high-frequency signal amplitude to low frequency signal；It is right
MI carries out significance test, establishes ECoG network；According to network characterization, risk ranking is carried out to different loci, finds locality
The area Zhi Xian；The potential area Zhi Xian prediction is carried out in conjunction with network characterization using priori knowledge.
A kind of positioning of the area Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network of the present invention, step is such as
Under:
Step 1: being pre-processed to epileptic's ECoG data；
The ECoG of epileptic's interictal is acquired, ECoG data format is EDF+, and number of active lanes is M (corresponding patient
M site on brain), sample frequency fs；Baseline interference is filtered using the high-pass filter of 0.2HZ, is gone using notch filter
Except industrial frequency noise (50 hertz) and harmonic noise；
Step 2: analyzing by CFC, the MI between LFOs and HFOs is calculated；
ECoG time series X (t) is filtered, low frequency signal X is obtainedL(t) and high-frequency signal XH(t)；Respectively to XL
(t) and XH(t) Hilbert transform is carried out, X is obtainedL(t) phase angleAnd XH(t) amplitude AH(t)；It willAnd AH
(t) 10 seconds segments are divided into, total K segment obtainsWithK=1,2 ..., K. by phase angle range [- π ,+
π] 18 equal portions are divided into, the length of each minizone is π/9, altogether N number of section, and N=18. is in each segment k, according to currentSize, be divided into the j of some section, j=1,2 ..., N；It is denoted asIt is simultaneously that its is correspondingIt is denoted asThus the corresponding average amplitude of each phase section j is obtainedIt obtains normalized
Amplitude modulation distributionThe Kullback- for calculating amplitude modulation distribution and being uniformly distributed U (j)
Leibler distance (KL divergence), as XL(t) and XH(t) modulation index MI,Wherein
Step 3: carrying out significance test to MI, ECoG network is established；
The total M channel ECoG, each channel include low frequency signal XM, L(t) and high-frequency signal XM, H(t), m=1,2 ..., M.
By XM, L(t) and XM, H(t) regard node, total 2M node as；It willAnd AM2, H(t) the modulation index MI betweenM1, m2It sees
Make side right；Wherein,?Phase section under calculateK=1,2 ..., K, j=1,2 ..., N, m1=1,2 ..., M, m2=1,2 ...,
M. to MIM1, m2Index carries out significance test, thus Cortical ECoG PAC network is established on the company of the generation side if passing through；
MIM1, m2Steps are as follows for significance test:It remains unchanged, by AM2, H(t) upset 200 times at random, every time
It calculatesWith the A upsetM2, H(t) modulation index betweenP=1,2 ..., if 200. MIM1, m2Greatly
In 95% MIperm, then it is assumed that this connects Bian Chengli；
Step 4: finding high risk site according to network characterization, finding the area locality Zhi Xian and the potential area Zhi Xian；
(1) statistical information for analyzing Cortical ECoG PAC network, according to indexs such as degree centrality, betweenness centers to network
Node is ranked up；The position of the higher node of index ranking in a network is more important, it is also possible to lead epileptogaenic high risk
Site；Existing pitch point importance sort method in terms of Complex Networks Theory can be used in sort method；Known in this part is used as, no
It repeats；
(2) priori knowledge is utilized, in conjunction with network characterization, carries out the potential area Zhi Xian prediction；Consider known cause around epilepsy node
Neighboring node, the known node etc. caused between epilepsy node communication path, as potential high risk site, further tested
Card；Specific practice is as follows: being two classes by the vertex ticks of epilepsy fault network, from same channel and has the X of connectionM, L(t)
And XM, H(t) vertex ticks is to cause epilepsy node；Remaining vertex ticks is risk node；According to priori knowledge (cause epilepsy node location),
Potential cause epilepsy node: homologous child node and bridging nodes is found from risk node；Homologous child node: with cause epilepsy nodes sharing father
Node, and father node is also to cause epilepsy node；Bridging nodes: connection two causes the risk node of epilepsy node；Where these two types of nodes
Site is considered as the potential area Zhi Xian.
By above step, the present invention finds the area local Zhi Xian and the potential area Zhi Xian from the angle of system, and considers
The influence of the individual difference of patient and basic brain function network is established epilepsy fault network for neuron oscillation extremely, is mentioned
A kind of positioning of the area local Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network out；The present invention have systematicness,
Robustness and early warning, result of study will position the area Zhi Xian and the prediction of the potential area Zhi Xian provides strong method and supports.
(3) advantage and effect
It is compared to locality and causes epilepsy distinctive emblem object and the marker based on functional network, epilepsy event of the present invention
Barrier operator logo object has the advantage that
(a) systemic: by establishing epilepsy fault network, to propose to cause epilepsy distinctive emblem object from the angle of system.Between lesion
Interaction relationship be evaluated, and not only position the area Zhi Xian simply by the abnormal oscillation of analysis local.
(b) robustness: the area the Zhi Xian positioning based on functional network is by patient individual difference, the shadow of basic brain function network
It rings, cannot be accurately positioned.And the foundation of epilepsy fault network is directly based upon the abnormal oscillation of neuron, eliminates basic brain function
The influence of network, is analyzed for individual, and positioning result is accurate.
(c) early warning: locality causes epilepsy distinctive emblem object and the marker based on functional network not to have the characteristic of development, only
Unilateral and static instruction can be provided.And epilepsy fault network marker can predict the development in the area Zhi Xian, find potential cause
Epilepsy area.Early warning is provided to epilepsy postoperative recurrence situation.
To sum up, the result of study of this new method will position the area Zhi Xian and the prediction of the potential area Zhi Xian provides strong side
Method bearing.
Detailed description of the invention
Fig. 1 is the method for the invention flow diagram.
Fig. 2 is that the present invention calculates modulation index flow diagram.
Fig. 3 is the potential area the Zhi Xian prediction technique schematic diagram of the present invention.
Serial number, symbol, code name are described as follows in figure:
Fig. 2:
X (t): ECoG time series
XL(t)、XH(t): the low frequency signal and high-frequency signal extracted from X (t)
XL(t) and XH(t) hubert transformed signal
The phase angle of low frequency signal and the amplitude of high-frequency signal
Mk(j): the amplitude modulation distribution of moment k, j=1,2 ..., N
MI: the modulation index of low frequency signal phase angle and high-frequency signal amplitude
Fig. 3:
Triangular nodes 1,2,7,9: epilepsy node is caused
Circular node 3: homologous child node
Circular node 4,8: bridging nodes
Square nodes: risk node
Specific embodiment
To keep the technical problem to be solved in the present invention, technical solution clearer, below in conjunction with attached drawing and specific implementation
Case is described in detail.
As shown in Figure 1, a kind of positioning of the area Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network of the present invention,
Specific step is as follows in case study on implementation:
Step 1: being pre-processed to epileptic's ECoG data；
The ECoG of epileptic's interictal is acquired, ECoG data format is EDF+, and number of active lanes is that 128 channels are (right
Answer 128 sites on patient's brain), sample frequency 1024HZ.Baseline interference is filtered using the high-pass filter of 0.2HZ, is used
Notch filter removes industrial frequency noise (50HZ) and harmonic noise.
Step 2: analyzing by CFC, the MI between LFOs and HFOs is calculated；
ECoG time series X (t) is filtered, the low frequency signal X of 4-6HZ is obtainedL(t) believe with the high frequency of 30-40HZ
Number XH(t).Respectively to XL(t) and XH(t) Hilbert transform is carried out, X is obtainedL(t) phase angleAnd XH(t) amplitude AH
(t).It willAnd AH(t) 10 seconds segments are divided into, totally 20 segments.It obtainsWithK=1,2 ...,
20. phase angle range [- π ,+π] is divided into 18 equal portions, the length of each minizone is π/9, altogether N number of section, and N=18. is each
Segment k, according to currentSize, be divided into the j of some section, j=1,2 ..., 18.It is denoted as
It is simultaneously that its is correspondingIt is denoted asThus the corresponding average amplitude of each phase section j is obtainedObtain normalized amplitude modulation distributionCalculate amplitude modulation distribution with
It is uniformly distributed the Kullback-Leibler distance (KL divergence) of U (j), as XL(t) and XH(t) modulation index MI,WhereinAs shown in Figure 2.
Step 3: carrying out significance test to MI, ECoG network is established；
Totally 128 channels, each channel include low frequency signal X to ECoGM, L(t) and high-frequency signal XM, H(t), m=1,2 ...,
128. by XM, L(t) and XM, H(t) regard node as, totally 264 nodes；It willAnd AM2, H(t) modulation index between
MIM1, m2Regard side right as.Wherein,?Phase section
Lower calculating K=1,2 ..., 20, j=1,2 ..., 18, m1=1,2 ..., 128, m2
=1,2 ..., 128. couples of MIM1, m2Index carries out significance test, thus Cortical ECoG PAC net is established on the company of the generation side if passing through
Network.
MIM1, m2Steps are as follows for significance test:It remains unchanged, by AM2, H(t) upset 200 times at random, every time
It calculatesWith the A upsetM2, H(t) modulation index betweenP=1,2 ..., if 200. MIM1, m2Greatly
In 95% MIperm, then it is assumed that this connects Bian Chengli.
Step 4: finding high risk site according to network characterization, finding the area locality Zhi Xian and the potential area Zhi Xian；
(1) statistical information for analyzing Cortical ECoG PAC network, according to indexs such as degree centrality, betweenness centers to network
Node is ranked up.The position of the higher node of index ranking in a network is more important, it is also possible to lead epileptogaenic high risk
Site.Existing pitch point importance sort method in terms of Complex Networks Theory can be used in sort method.Known in this part is used as, no
It repeats.
(2) priori knowledge is utilized, in conjunction with network characterization, carries out the potential area Zhi Xian prediction.Consider known cause around epilepsy node
Neighboring node, the known node etc. caused between epilepsy node communication path, as potential high risk site, further tested
Card.Specific practice is as follows: being two classes by the vertex ticks of epilepsy fault network, from same channel and has the X of connectionM, L(t)
And XM, H(t) vertex ticks is to cause epilepsy node；Remaining vertex ticks is risk node.According to priori knowledge (cause epilepsy node location),
Potential cause epilepsy node: homologous child node and bridging nodes is found from risk node.Homologous child node: with cause epilepsy nodes sharing father
Node, and father node is also to cause epilepsy node.Bridging nodes: connection two causes the risk node of epilepsy node.Where these two types of nodes
Site is considered as the potential area Zhi Xian.As shown in Figure 3.
By above step, the present invention finds the area local Zhi Xian and the potential area Zhi Xian from the angle of system, and considers
The influence of the individual difference of patient and basic brain function network is established epilepsy fault network for neuron oscillation extremely, is mentioned
A kind of positioning of the area local Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network out.
Non-elaborated part of the present invention belongs to techniques well known.
The above, part specific embodiment only of the present invention, but scope of protection of the present invention is not limited thereto, appoints
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of, should all cover by what those skilled in the art
Within protection scope of the present invention.
Claims (1)
1. a kind of positioning of the area Zhi Xian and the potential area Zhi Xian prediction technique based on phase width coupling network, it is characterised in that: its step
It is as follows:
Step 1: being pre-processed to epileptic's ECoG data；
The ECoG of epileptic's interictal is acquired, ECoG data format is EDF+, and number of active lanes is on the i.e. corresponding patient's brain of M
M site, sample frequency fs；Use 0.2HZHigh-pass filter filter baseline interference, use notch filter remove power frequency
Noise and harmonic noise；
Step 2: analyzing by CFC, the MI between LFOs and HFOs is calculated；
ECoG time series X (t) is filtered, low frequency signal X is obtainedL(t) and high-frequency signal XH(t)；Respectively to XL(t) and XH
(t) Hilbert transform is carried out, X is obtainedL(t) phase angleAnd XH(t) amplitude AH(t)；It willAnd AH(t) divide
At 10 seconds segments, total K segment was obtainedWithBy phase angle range [- π ,+
π] 18 equal portions are divided into, the length of each minizone is π/9, altogether N number of section, and N=18. is in each segment k, according to currentSize, be divided into the j of some section, j=1,2 ..., N；It is denoted asIt is simultaneously that its is correspondingIt is denoted asThus the corresponding average amplitude of each phase section j is obtainedIt is normalized
Amplitude modulation distributionThe Kullback- for calculating amplitude modulation distribution and being uniformly distributed U (j)
Leibler distance is KL divergence, as XL(t) and XH(t) modulation index MI,Wherein
Step 3: carrying out significance test to MI, ECoG network is established；
The total M channel ECoG, each channel include low frequency signal XM, L(t) and high-frequency signal XM, H(t), m=1,2 ..., M. will
XM, L(t) and XM, H(t) regard node, total 2M node as；It willAnd AM2, H(t) the modulation index MI betweenM1, m2Regard as
Side right；Wherein,?Phase section under calculate
M2=1,2 ..., M. is to MIM1, m2Index carries out significance test, thus Cortical ECoG PAC net is established on the company of the generation side if passing through
Network；
MIM1, m2Steps are as follows for significance test:It remains unchanged, by AM2, H(t) upset 200 times at random, calculate every timeWith the A upsetM2, H(t) modulation index betweenP=1,2 ..., if 200. MIM1, m2It is greater than
95% MIperm, then it is assumed that this connects Bian Chengli；
Step 4: finding high risk site according to network characterization, finding the area locality Zhi Xian and the potential area Zhi Xian；
(1) statistical information for analyzing Cortical ECoG PAC network, according to indexs such as degree centrality, betweenness centers to network node
It is ranked up；The position of the higher node of index ranking in a network is more important, it is also possible to lead epileptogaenic high risk site；
Existing pitch point importance sort method in terms of Complex Networks Theory can be used in sort method；It is not done superfluous known in being used as this part
It states；
(2) priori knowledge is utilized, in conjunction with network characterization, carries out the potential area Zhi Xian prediction；Consider close around known cause epilepsy node
Node between neighbors, known cause epilepsy node communication path is further verified as potential high risk site；Tool
Body way is as follows: being two classes by the vertex ticks of epilepsy fault network, from same channel and has the X of connectionM, L(t) and XM, H
(t) vertex ticks is to cause epilepsy node；Remaining vertex ticks is risk node；Epilepsy node location is caused according to priori knowledge, from wind
Potential cause epilepsy node: homologous child node and bridging nodes is found in dangerous node；Homologous child node: it is saved with epilepsy nodes sharing father is caused
Point, and father node is also to cause epilepsy node；Bridging nodes: connection two causes the risk node of epilepsy node；Position where these two types of nodes
Point is considered as the potential area Zhi Xian.
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| CN113112476A (en) * | 2021-04-14 | 2021-07-13 | 中国人民解放军北部战区总医院 | Method and system for identifying epileptogenic focus of temporal lobe epilepsy caused by hippocampus sclerosis and/or predicting pathological typing of temporal lobe epilepsy |
| CN113112476B (en) * | 2021-04-14 | 2023-08-29 | 中国人民解放军北部战区总医院 | Method and system for identifying epileptogenic focus and/or predicting pathological typing of epileptogenic focus |
| CN114708964A (en) * | 2022-06-06 | 2022-07-05 | 上海志听医疗科技有限公司 | Vertigo auxiliary analysis statistical method and system based on intelligent feature classification |
| CN115081486A (en) * | 2022-07-05 | 2022-09-20 | 华南师范大学 | Epileptic focus positioning system and method for intracranial electroencephalogram network in early stage of epileptic seizure |
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