CN110251083A - A kind of processing method, system and the storage medium of the location data of epileptic focus - Google Patents
A kind of processing method, system and the storage medium of the location data of epileptic focus Download PDFInfo
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Abstract
The invention discloses a kind of processing method of the location data of epileptic focus, system and storage medium, method is the following steps are included: acquire the EEG data and nmr imaging data of patient；The head model of patient is constructed according to the nmr imaging data of patient；It is screened by EEG data of the sparse Bayesian algorithm to patient；Positioning of tracing to the source is carried out on the head model of patient according to the EEG data that screening obtains, and shows epileptic focus on the head model of patient.The present invention constructs the head model of patient by nmr imaging data, then EEG data is screened by sparse Bayesian algorithm, finally positioning and epileptic focus is shown tracing to the source on the head model of patient according to the EEG data that screens, to reduce lesion analysis process to the dependence of the electroencephalography personage of relevant clinician or profession, shorten Diagnostic Time and diagnosis expense.It the composite can be widely applied to disease data processing technology field.
Description
Technical field
The present invention relates to disease data processing technology field, especially a kind of processing side of the location data of epileptic focus
Method, system and storage medium.
Background technique
Explanation of nouns:
Management loading is a kind of machine learning algorithm, has been applied to sparse signal recovery and compressed sensing
Field can recover ideal image using compressed sensing principle in compressed sensing field.
Epileptics is the electric discharge of cerebral neuron paroxysmal abnormality, leads to a kind of chronic disease of of short duration cerebral disorder
Disease.The precise positioning of epileptic focus plays a significant role lesion resection operation.Now clinically to the positioning of epileptic focus,
Mainly positioned using a large amount of imaging means, including video computer, Magnetic resonance imaging, positive electron reflection faults method,
Neuropsychological assessment etc., these lesion localization modes are all the electroencephalography personage's logarithms for needing relevant clinician or profession
According to being analyzed, the cost time is longer, means are complicated and expense is also high.Other than above-mentioned lesion localization method, further include
Minimum-Norm Method and standard low resolution electromagnetism tomoscan, wherein although Minimum-Norm Method is in visual brain activation
On now, weaker signal can be also presented, but be easy to generate interference to the position judgement of epileptic focus；Standard low resolution electricity
Magnetic tomoscan is then to show a whole region all in the presentation of visual brain activation to epilepsy signal excessively " sensitivity "
It is in very active state, to be not easy to judge the specific location of epileptic focus.
In conclusion the information processing method of the positioning of existing epileptic focus causes patient's Diagnostic Time long, costly,
The operating process of doctor is cumbersome and not can avoid influence of the small-signal to lesion localization process.
Summary of the invention
In order to solve the above technical problems, it is an object of the invention to: a kind of processing of the location data of epileptic focus is provided
Method, system and storage medium, can be while reducing the Diagnostic Time and expense of patient, moreover it is possible to simplify the operation of doctor
The influence of journey and reduction small-signal to lesion localization information process.
The first technical solution of the present invention is:
A kind of processing method of the location data of epileptic focus comprising following steps:
Acquire the EEG data and nmr imaging data of patient；
The head model of patient is constructed according to the nmr imaging data of patient；
It is screened by EEG data of the sparse Bayesian algorithm to patient；
Positioning of tracing to the source is carried out on the head model of patient according to the EEG data that screening obtains, and in the head model of patient
Upper display epileptic focus.
Further, the EEG data of the acquisition patient, specifically includes:
Obtain video data and total EEG data that patient carries out eeg monitoring；
The EEG data that patient is breaking out is filtered out from total EEG data according to video data；
The EEG data that patient is breaking out successively is pre-processed, goes power frequency and bandpass filtering treatment.
Further, the patient carry out the video data of eeg monitoring when a length of be not less than 24 hours.
Further, the electroencephalogram number for filtering out patient from total EEG data according to video data and breaking out
According to specifically including:
The duration of seizure point of patient is obtained according to video data；
From the EEG data filtered out in total electroencephalogram before and after duration of seizure point in 30 minutes.
Further, the head model that patient is constructed according to the nmr imaging data of patient, specifically includes:
At least six N Reference Alignment point is selected on the structure picture of the Magnetic resonance imaging of patient；
Correction process is carried out according to structure picture of at least six N Reference Alignment point to Magnetic resonance imaging；
According to the 3 D stereo head model of the nmr imaging data construction patient after correction.
Further, described to be screened by EEG data of the sparse Bayesian algorithm to patient, it specifically includes:
Obtain the preset value in sparse Bayesian algorithm；
It is screened according to preset value to according to the EEG data of patient.
Further, the EEG data obtained according to screening carries out positioning of tracing to the source on the head model of patient, and
Epileptic focus is shown on the head model of patient, specifically:
Judge the size relation of the EEG data screened；
Positioning of tracing to the source is carried out on the head model of patient according to the EEG data that screening obtains；
It is aobvious by different colours on the head model of patient according to the size relation of EEG data and positioning result of tracing to the source
Show epileptic focus.
Second of technical solution of the present invention is:
A kind of processing system of the location data of epileptic focus comprising:
Acquisition module, for acquiring the EEG data and nmr imaging data of patient；
Constructing module, for constructing the head model of patient according to the nmr imaging data of patient；
Screening module, for being screened by EEG data of the sparse Bayesian algorithm to patient；
Locating module, the EEG data for being obtained according to screening carry out positioning of tracing to the source on the head model of patient, and
Epileptic focus is shown on the head model of patient.
The third technical solution of the present invention is:
A kind of processing system of the location data of epileptic focus comprising:
At least one processor, for storing program；
At least one processor executes a kind of place of the location data of epileptic focus for loading described program
Reason method.
4th kind of technical solution of the present invention is:
A kind of storage medium, wherein be stored with the executable instruction of processor, the executable instruction of the processor by
For realizing a kind of processing method of the location data of epileptic focus when processor executes.
The beneficial effects of the present invention are: the present invention constructs the head mould of patient by the nmr imaging data acquired
Then type is screened by EEG data of the sparse Bayesian algorithm to patient, to reduce micro- in EEG data
Influence of the weak signal to positioning process of tracing to the source, finally in the EEG data obtained according to screening on the head model of patient
Carry out positioning of tracing to the source, and show epileptic focus on the head model of patient, reduce lesion analysis process to relevant clinician or
The dependence of the electroencephalography personage of person's profession, so as to shorten Diagnostic Time and diagnosis expense.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the processing method of the location data of epileptic focus of the specific embodiment of the invention.
Specific embodiment
The present invention is described in further detail in the following with reference to the drawings and specific embodiments.In for the examples below
Number of steps is arranged only for the purposes of illustrating explanation, does not do any restriction to the sequence between step, each in embodiment
The execution sequence of step can be adaptively adjusted according to the understanding of those skilled in the art.
Referring to Fig.1, the embodiment of the invention provides a kind of processing methods of the location data of epileptic focus comprising following
Step:
S101, the EEG data and nmr imaging data for acquiring patient；The EEG data is led by 32
Video brain electric equipment collects.The nmr imaging data is collected by Magnetic resonance imaging scanner.
S102, the head model that patient is constructed according to the nmr imaging data of patient；It is described to construct obtained patient's head
Model is 3 D stereo head model, shows convenient for subsequent lesion and doctor checks.
S103, it is screened by EEG data of the sparse Bayesian algorithm to patient；This step mainly filters out
More active EEG data filters out the small-signal in EEG data, so as to reduce localization process mistake of tracing to the source
The disturbing factor of journey.
S104, positioning of tracing to the source is carried out on the head model of patient according to the EEG data that screening obtains, and patient's
Epileptic focus is shown on head model.The positioning that carries out tracing to the source on the head model of patient is to orient that patient's epileptics is caused to be sent out
The lesion of work.When due to epileptic seizure, the lesion of patient's brain can be in Showed Very Brisk state, be formed by scalp electricity
Gesture can change, so, in EEG data, the corresponding data in peak value part extremely outstanding are exactly the number of patient lesion
According to the specific location of epileptic focus can be shown on head model according to this EEG data.
Since the head of each patient has certain difference, and the model of prior art building is all Utopian mould
Type is unfavorable for embodying the true situation of patient, so the present embodiment is the nmr imaging data building according to sufferers themselves
Sufferers themselves head model, the head model for enabling it to construct embodies the truth of patient as far as possible.When there is multiple trouble
When person needs to position lesion, differentiation will do it in the acquisition of nmr imaging data, different trouble of avoiding confusion
The nmr imaging data of person.
The present embodiment constructs the head model of patient by the nmr imaging data acquired, then passes through sparse pattra leaves
This algorithm screens the EEG data of patient, to reduce small-signal in EEG data to localization process of tracing to the source
The influence of process finally carries out positioning of tracing to the source in the EEG data obtained according to screening on the head model of patient, and is suffering from
Epileptic focus is shown on the head model of person, reduces lesion analysis process to the electroencephalography personage of relevant clinician or profession
Dependence, so as to shorten Diagnostic Time and diagnosis expense.
It is further used as preferred embodiment, the EEG data of the acquisition patient specifically includes:
Obtain video data and total EEG data that patient carries out eeg monitoring；The video data is for monitoring
Patient when can epileptic seizure, when be in normal condition.Total EEG data is and carries out eeg monitoring
The corresponding real-time EEG data of video data.EEG data and trouble when total EEG data includes patient episode
Person is in EEG data under normal circumstances.
The EEG data that patient is breaking out is filtered out from total EEG data according to video data；Specifically from view
The behavior act of patient, expression etc. judge whether patient is in breaking-out state in frequency.
The EEG data that patient is breaking out successively is pre-processed, goes power frequency and bandpass filtering treatment.It tells pre-
Processing includes the case where the bad company of leading of removal, artefact removal and with reference to reconstruction etc., it is therefore an objective to reduce noise jamming, removal muscle fortune
Dynamic artifact.
The present embodiment can be guaranteed by being screened, being pre-processed to the EEG data of acquisition eventually in head
The data of reconstruction of carrying out tracing to the source on model are data when patient is breaking out.
Be further used as preferred embodiment, the patient carry out the video data of eeg monitoring when it is a length of not small
In 24 hours.Due to the duration of seizure of epileptic be it is unfixed, breaking-out interval be also it is unfixed, the present embodiment be for
Guarantee to collect from video data at least three times patient episode when EEG data.
It is further used as preferred embodiment, it is described that patient is being filtered out just from total EEG data according to video data
In the EEG data of breaking-out, specifically include:
The duration of seizure point of patient is obtained according to video data；
From the EEG data filtered out in total electroencephalogram before and after duration of seizure point in 30 minutes.Because patient is sending out
Before and after making in 30 minutes, scalp potential is at abnormality, while obtaining 30 minutes before and after duration of seizure point brain electricity
Diagram data also ensures that lesion when the subsequent lesion for positioning and obtaining of tracing to the source is patient episode.
It is further used as preferred embodiment, the head mould that patient is constructed according to the nmr imaging data of patient
Type specifically includes:
At least six N Reference Alignment point is selected on the structure picture of the Magnetic resonance imaging of patient；The benchmark correction point can
Think the nasion, left ear, auris dextra, preceding joint, afterwards point etc. between joint and hemisphere.
Correction process is carried out according to structure picture of at least six N Reference Alignment point to Magnetic resonance imaging；
According to the 3 D stereo head model of the nmr imaging data construction patient after correction.Due to Magnetic resonance imaging
Structure seem to belong to Utopian model, can not actual response patient actual conditions, therefore, through this embodiment to core
The structure picture of magnetic resonance imaging is corrected, and the 3 D stereo head model for enabling it to obtain is more nearly the true feelings of patient
Condition, and by being configured to 3 D stereo head model, then doctor can be made more quick and precisely to orient the tool of the epileptic focus of patient
Body position.
It is further used as preferred embodiment, it is described to be carried out by EEG data of the sparse Bayesian algorithm to patient
Screening, specifically includes:
Obtain the preset value in sparse Bayesian algorithm；The preset value is in sparse Bayesian algorithm for filtering out
Faint EEG data.The size of the preset value can be set in the moment maximum value in all EEG datas
50%-60%.
It is screened according to preset value to according to the EEG data of patient.
The present embodiment screens EEG data by preset value, may filter that the faint letter in EEG data
Number, to avoid influence of the small-signal to positioning of tracing to the source.
In the present embodiment, EEG data stores with a matrix type, and A just represents sheared electroencephalogram number
According to its size is N × M (N row M column), wherein the basic model of sparse Bayesian can be described as:
Y=Ax+v
Wherein, y indicates that the data of state of activation are presented in the moment, and A is the signal matrix of N × M, and v is signal noise, x M
The solution vector that dimension band is asked.The mean value for assuming that each element obeys a parametrization in x in sparse Bayesian algorithm is 0, variance
For γiGaussian Profile, the Gaussian distribution formula is as follows:
P(xi, γi)=N (0, γi) i=1 ..., M
Wherein, xiIndicate i-th of element in x, γiIt is unknown parameter, sparse Bayesian algorithm can use one
Threshold value by tend to 0 γiIt is set to 0, it is sparse for making x.For example, some position of brain has activated, it may be related to the position
Point have 1000, the effect of sparse Bayesian algorithm is exactly, this 1000 points is carried out screenings, it is not wherein real for filtering out
Relevant point or the low-down point of correlation are activated with this position.
In the actual moving process of sparse Bayesian algorithm, most γiIt will become in muting situation
Be 0, in the presence of noise, it will tend to 0, still, it will usually using a threshold value by tend to 0 γiIt is set to 0, the threshold
The size of value is related with signal-to-noise ratio.
It is further used as preferred embodiment, the EEG data obtained according to screening is on the head model of patient
Positioning of tracing to the source is carried out, and shows epileptic focus on the head model of patient, specifically:
Judge the size relation of the EEG data screened；Specifically judge the work of the EEG data screened
Jerk situation.
Positioning of tracing to the source is carried out on the head model of patient according to the EEG data that screening obtains；
It is aobvious by different colours on the head model of patient according to the size relation of EEG data and positioning result of tracing to the source
Show epileptic focus.
Since on brain, the potential of different location is usually different, lead to the big of epileptic seizure closer
The potential in brain area domain is higher, and the present embodiment is judged by the size relation to EEG data, then using color
The depth marks the different zones of brain, for selecting deeper color in head closer to the brain region for leading to epileptic seizure
It is marked on model, further away from the brain region for leading to epileptic seizure, the color for label is lighter, so that doctor is logical
The shade on observation head model is crossed, can quickly determine the specific location of epileptic focus, so as to save point of doctor
The time is analysed, the accuracy of lesion judgement is also increased.
The embodiment of the invention also provides a kind of processing systems of the location data of epileptic focus corresponding with Fig. 1 method
System comprising:
Acquisition module, for acquiring the EEG data and nmr imaging data of patient；
Constructing module, for constructing the head model of patient according to the nmr imaging data of patient；
Screening module, for being screened by EEG data of the sparse Bayesian algorithm to patient；
Locating module, the EEG data for being obtained according to screening carry out positioning of tracing to the source on the head model of patient, and
Epileptic focus is shown on the head model of patient.
Suitable for this system embodiment, this system embodiment is implemented content in above method embodiment
Function is identical as above method embodiment, and the beneficial effect reached and above method beneficial effect achieved are also identical.
The embodiment of the invention also provides a kind of processing systems of the location data of epileptic focus corresponding with Fig. 1 method
System comprising:
At least one processor, for storing program；
At least one processor executes a kind of place of the location data of epileptic focus for loading described program
Reason method.
Suitable for this system embodiment, this system embodiment is implemented content in above method embodiment
Function is identical as above method embodiment, and the beneficial effect reached and above method beneficial effect achieved are also identical.
In addition, the embodiment of the invention also provides a kind of storage mediums, wherein being stored with the executable instruction of processor, institute
The executable instruction of processor is stated when executed by the processor for realizing a kind of place of the location data of epileptic focus
Reason method.
In conclusion the present invention constructs the head model of patient by the nmr imaging data acquired, then pass through
Sparse Bayesian algorithm screens the EEG data of patient, to reduce small-signal in EEG data to tracing to the source
The influence of positioning process, it is fixed finally to carry out tracing to the source on the head model of patient in the EEG data obtained according to screening
Position, and epileptic focus is shown on the head model of patient, lesion analysis process is reduced to the brain of relevant clinician or profession
The dependence of electrograph scholar scholar, so as to shorten Diagnostic Time and diagnosis expense；Further, by using different colors in head
Different regions is marked on model, so that doctor can quickly determine epileptic focus by the shade on observation head model
Specific location, so as to save the analysis time of doctor, also increase lesion judgement accuracy.
It is to be illustrated to preferable implementation of the invention, but the present invention is not limited to the embodiment above, it is ripe
Various equivalent deformation or replacement can also be made on the premise of without prejudice to spirit of the invention by knowing those skilled in the art, this
Equivalent deformation or replacement are all included in the scope defined by the claims of the present application a bit.
Claims (10)
1. a kind of processing method of the location data of epileptic focus, it is characterised in that: the following steps are included:
Acquire the EEG data and nmr imaging data of patient；
The head model of patient is constructed according to the nmr imaging data of patient；
It is screened by EEG data of the sparse Bayesian algorithm to patient；
Positioning of tracing to the source is carried out on the head model of patient according to the EEG data that screening obtains, and is shown on the head model of patient
Show epileptic focus.
2. a kind of processing method of the location data of epileptic focus according to claim 1, it is characterised in that: the acquisition
The EEG data of patient, specifically includes:
Obtain video data and total EEG data that patient carries out eeg monitoring；
The EEG data that patient is breaking out is filtered out from total EEG data according to video data；
The EEG data that patient is breaking out successively is pre-processed, goes power frequency and bandpass filtering treatment.
3. a kind of processing method of the location data of epileptic focus according to claim 2, it is characterised in that: the patient
Carry out the video data of eeg monitoring when a length of be not less than 24 hours.
4. a kind of processing method of the location data of epileptic focus according to claim 2, it is characterised in that: the basis
Video data filters out the EEG data that patient is breaking out from total EEG data, specifically includes:
The duration of seizure point of patient is obtained according to video data；
From the EEG data filtered out in total electroencephalogram before and after duration of seizure point in 30 minutes.
5. a kind of processing method of the location data of epileptic focus according to claim 1, it is characterised in that: the basis
The head model of the nmr imaging data construction patient of patient, specifically includes:
At least six N Reference Alignment point is selected on the structure picture of the Magnetic resonance imaging of patient；
Correction process is carried out according to structure picture of at least six N Reference Alignment point to Magnetic resonance imaging；
According to the 3 D stereo head model of the nmr imaging data construction patient after correction.
6. a kind of processing method of the location data of epileptic focus according to claim 1, it is characterised in that: described to pass through
Sparse Bayesian algorithm screens the EEG data of patient, specifically includes:
Obtain the preset value in sparse Bayesian algorithm；
It is screened according to preset value to according to the EEG data of patient.
7. a kind of processing method of the location data of epileptic focus according to claim 1, it is characterised in that: the basis
It screens obtained EEG data and carries out positioning of tracing to the source on the head model of patient, and show epileptics on the head model of patient
Stove, specifically:
Judge the size relation of the EEG data screened；
Positioning of tracing to the source is carried out on the head model of patient according to the EEG data that screening obtains；
It according to the size relation of EEG data and traces to the source positioning result, is shown on the head model of patient by different colours insane
Epilepsy lesion.
8. a kind of processing system of the location data of epileptic focus, it is characterised in that: include:
Acquisition module, for acquiring the EEG data and nmr imaging data of patient；
Constructing module, for constructing the head model of patient according to the nmr imaging data of patient；
Screening module, for being screened by EEG data of the sparse Bayesian algorithm to patient；
Locating module, the EEG data for being obtained according to screening carries out positioning of tracing to the source on the head model of patient, and is suffering from
Epileptic focus is shown on the head model of person.
9. a kind of processing system of the location data of epileptic focus, it is characterised in that: include:
At least one processor, for storing program；
At least one processor, for loading described program to execute such as a kind of described in any item epileptics of claim 1-7
The processing method of the location data of stove.
10. a kind of storage medium, wherein being stored with the executable instruction of processor, it is characterised in that: the processor is executable
Instruction when executed by the processor for realizing a kind of described in any item location datas of epileptic focus of such as claim 1-7
Processing method.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111096745A (en) * | 2020-01-02 | 2020-05-05 | 苏州大学 | Steady-state evoked response brain source positioning method based on sparse Bayesian learning |
| CN111462887A (en) * | 2020-03-31 | 2020-07-28 | 首都医科大学宣武医院 | Wearable epileptic digital assistant system |
| CN112690775A (en) * | 2020-12-24 | 2021-04-23 | 华中师范大学 | Bayes-based imaging system for focal zone with abnormal brain activity of children |
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| CN112690775A (en) * | 2020-12-24 | 2021-04-23 | 华中师范大学 | Bayes-based imaging system for focal zone with abnormal brain activity of children |
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