CN106055874A - Near-infrared brain imaging instrument graph spectrum acquisition and analysis system - Google Patents
Near-infrared brain imaging instrument graph spectrum acquisition and analysis system Download PDFInfo
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- CN106055874A CN106055874A CN201610342176.4A CN201610342176A CN106055874A CN 106055874 A CN106055874 A CN 106055874A CN 201610342176 A CN201610342176 A CN 201610342176A CN 106055874 A CN106055874 A CN 106055874A
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- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0075—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
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- A—HUMAN NECESSITIES
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Abstract
The present invention discloses a near-infrared brain imaging instrument graph spectrum acquisition and analysis system, comprising near-infrared brain imaging graph spectrum acquisition work stations configured to locally acquire near-infrared brain imaging graph spectrums of subjects, wherein each near-infrared brain imaging graph spectrum acquisition work station at least comprises a near-infrared brain imaging instrument for generating the graph spectrums, a task module for providing the subject with a preset cognition task, and a local server for analyzing and storing the graph spectrums; and a remote data server connected with the plurality of near-infrared brain imaging graph spectrum acquisition work stations and configured to store standard graph spectrums to generate a standard graph spectrum database. The local servers perform classification according to the standard graph spectrums stored in the standard graph spectrum database of the remote data server. Acquisition and remote analysis of the near-infrared brain imaging graph spectrums can be achieved, and the purposes of resource sharing and remote assistance are achieved.
Description
Technical field
The present invention relates to a kind of brain function detecting system, particularly a kind of Near-infrared Brain imaging collection of illustrative plates gathers and analyzes system
System.
Background technology
Mental maladjustment is mainly the empirical diagnosis of symptom at present, lacks accessory symptom easily clinically and identifies technology.But
Along with such as functional magnetic resonance (fMRI), positron emission tomography art (PET) and single electron emission tomography imagery
(SPECT) the gradually application of non-invasive detection methods such as, has deepened research worker to the pathogeny of patient with phychlogical problems and disease
The understanding of sick process.Such as, so it is now established that the Forehead function image of patients with depression has exception.But due to fMRI, PET,
The equipment such as SPECT more or less has when using that such as volume is bigger than normal, on the high side, noise big, time length, do not tolerate, put under house arrest
The aspect reason such as (may affect test result) and unnatural (may affect test result), therefore examines at current mental maladjustment
The clinical practice of reality is not obtained during Duan.
Near infrared spectrum Brian Imaging (fNIRS) technology is the method for a kind of dynamic detection brain function that developed recently gets up.
Its ultimate principle is that wherein 780nm is deoxidized blood red owing to the wavelength of near infrared light 700-1400nm can pass through skull 2-3cm
Albumen (Deoxy-Hb) absorbs and scatters, and 830nm is by HbO2 Oxyhemoglobin (Oxy-Hb)) absorb and scatter, this can be the most anti-
The activity and the brain cognitive function that reflect cerebral cortical neuron are movable.And fNIRS can accurately distinguish from different brain knots
The signal of structure, its spatial resolution can reach 1-2 centimetre, and moreover the sample rate of fNIRS can reach 0.1 second, far away
Higher than functional mri.The mobility, the quiet noiseless that have due to technique, use cost is low, easily operate
With safeguard, few to tested restriction, compatible magnetic metal, allow long-time measurement continuously and repeated multiple times survey in the short time
The features such as amount, in addition its preferable space orientation ability so that it is the most gradually become the important imaging means in this field.
But, current function near infrared spectrum Brian Imaging gained collection of illustrative plates is typically difficult to identification, intricate operation, and user is difficult
Use is understood with effective.And, present stage do not exist for Near-infrared Brain imaging collection of illustrative plates collection of illustrative plates can be carried out with reference to classification
Standard diagram storehouse, the profile information of each research unit can not be accomplished resource-sharing, certainly can not realize mutually assisting.
Summary of the invention
The problems referred to above existed in view of prior art, it is an object of the invention to provide a kind of Near-infrared Brain imaging collection of illustrative plates and adopt
Collection and the system of analysis.This system is capable of collection and the remote analysis of Near-infrared Brain imaging collection of illustrative plates, reaches resource-sharing and remote
The purpose that journey is assisted.
To achieve these goals, a kind of Near-infrared Brain imaging collection of illustrative plates that the present invention provides gathers and the system of analysis, including:
Near-infrared Brain imaging collection of illustrative plates acquisition workstation, it is configured to the local Near-infrared Brain imaging collection of illustrative plates gathering experimenter,
At least include the Near-infrared Brain imager for generating collection of illustrative plates, for providing the task module of default Cognitive task to experimenter
And for analyzing and store the home server of collection of illustrative plates；
Remote data server, it is connected with multiple Near-infrared Brain imaging collection of illustrative plates acquisition workstations, and is configured to storage mark
Quasi-collection of illustrative plates is to generate standard diagram storehouse；
Described home server according in the standard diagram storehouse of described remote data server storage standard diagram to entering
Row classification.
It practice, in this application, described Near-infrared Brain image-forming module can use the near infrared spectrum imager of routine in fact
Existing.
As preferably, described home server also includes a data categorization module, and it is configured to according to described Near-infrared Brain
The collection of illustrative plates that imager generates is classified according to position phase, wave amplitude, frequency and/or the trend of collection of illustrative plates waveform.
As preferably, described home server also includes a data memory module, its mould that is configured to classify described data
The Near-infrared Brain imaging collection of illustrative plates of block sort stores.
And for Cognitive task module, it is preferable that it includes a display unit, an input block and a lock unit, institute
State display unit and show the Cognitive task that need to complete with a period of time to person under inspection；Described input block is for described person under inspection's root
According to the Cognitive task corresponding feedback information of prompting input；Described synchronization module is for starting described near-infrared according to the described time cycle
Brain presents module.
It is further preferred that the time cycle of described display unit display Cognitive task includes quiescent stage, task before task
Quiescent stage after phase and task.
It is further preferred that after quiescent stage, task phase and task, the time of quiescent stage is respectively 15s, 30s before described task
With 15s, and using this time period as a group task stimulating module.
It is further preferred that the Cognitive task that described display unit shows include Emotional Picture task, language fluency task,
Refer to the Cognitive task unit composition of dynamic task or symptom picture task.Language fluency task, refer to task or symptom picture task
(seeing that figure describes) is often organized equivalence Cognitive task stimulating module and is combined as 4-5 time.
For described data categorization module, it is preferable that can also be according to the standard diagram information preset to described processor
The Near-infrared Brain imaging collection of illustrative plates processed is classified.Specifically, described preset standard profile information includes that positive hyperbola is normal
The low flat waveform of waveform, negative, negative intersection separates waveform, negative opening shape waveform, positive height wave amplitude waveform and positive opening shape
Waveform.
Near-infrared Brain imaging collection of illustrative plates provided by the present invention gathers and the system of analysis, it is possible to the stimulation at Cognitive task presents
Under, obtain the Near-infrared Brain imaging collection of illustrative plates standard diagram storehouse master that also basis is stored in remote data server that high reference is worth
Move and collection of illustrative plates is classified, and then provide practical believable coherent reference for correlational study work and clinical diagnosis, have very
Wide application prospect and commercial value.Meanwhile, remote data server is set and can realize multiple Near-infrared Brain imaging collection of illustrative plates
Acquisition workstation relies on network insertion, and standard diagram storehouse also can realize jointly being safeguarded by multiple acquisition workstations and revising.
Accompanying drawing explanation
Fig. 1 is that the Near-infrared Brain imaging collection of illustrative plates of the present invention gathers and the structural representation of the system of analysis.
Fig. 2 is that the Near-infrared Brain imaging collection of illustrative plates of the present invention gathers and the Near-infrared Brain imaging collection of illustrative plates collecting work of the system of analysis
The structural representation stood.
Detailed description of the invention
Referring to the drawings technical scheme proposed by the invention is further described in detail.
As it is shown in figure 1, a kind of Near-infrared Brain imaging collection of illustrative plates that the present invention provides gathers and the system of analysis, including:
Near-infrared Brain imaging collection of illustrative plates acquisition workstation 100, it is configured to the local Near-infrared Brain image gathering experimenter
Spectrum, at least includes the Near-infrared Brain imager 101 for generating collection of illustrative plates, for providing the psychological task preset to experimenter 105
Task module 102 and for analyzing and store the home server 103 of collection of illustrative plates；
Remote data server 400, it is connected with multiple Near-infrared Brain imaging collection of illustrative plates acquisition workstations, and is configured to storage
Standard diagram is to generate standard diagram storehouse；In the present embodiment, illustrate only work station 200 and work station 300, it will be appreciated that
More Near-infrared Brain imaging collection of illustrative plates acquisition workstation can be had in theory can be connected to remote date transmission by network 500
Device.
Described home server 103 is according to the standard drawing of storage in the standard diagram storehouse of described remote data server 400
Spectrum is to classifying.
Fig. 2 is that the Near-infrared Brain imaging collection of illustrative plates of the present invention gathers and the Near-infrared Brain imaging collection of illustrative plates collecting work of the system of analysis
The structural representation stood.As in figure 2 it is shown, Near-infrared Brain imaging collection of illustrative plates gather and analysis system in Near-infrared Brain imager, can
To include:
Near-infrared Brain image-forming module 1, it includes sending the transmitting auroral poles of near infrared light, from person under inspection's head to person under inspection's scalp
Bark graft is received the reception auroral poles of the near infrared light of brain tissue's reflection and generates near according to the reception near infrared light of described reception auroral poles
The collection of illustrative plates signal generating unit of infrared Brian Imaging collection of illustrative plates；In fig. 2, emission electrode, reception electrode and collection of illustrative plates signal generating unit do not show that.
It practice, the function of this module is identical with the function that existing near infrared spectrum imager is realized, it is all to be subject to for acquisition
The Near-infrared Brain imaging collection of illustrative plates of inspection person's brain (main prefrontal lobe and temporal lobe).In other words, the reddest in technical solution of the present invention
External-brain's image-forming module substitutes can also realize with existing near infrared spectrum imager.
Above-mentioned Cognitive task module 5, it is arranged in when described Near-infrared Brain image-forming module 1 works and simultaneously provides to person under inspection
The Cognitive task preset；The Main Function of this module is the Cognitive task providing irritation collection of illustrative plates to occur to person under inspection,
Here refer mainly to language fluency task (vft), suffer from as it was previously stated, vft task has been widely used in detection mental disorder
The activation pattern of person's prefrontal lobe.This is the nucleus module constituting the invention, specifically, as in figure 2 it is shown, it can be single by display
Unit 51, input block 52 and lock unit 53 are constituted, and described display unit 51 shows with a period of time need to complete to person under inspection
Cognitive task；Described input block 52 inputs corresponding feedback information for described person under inspection according to Cognitive task prompting；Described same
Step module 53 presents module for starting described Near-infrared Brain according to the described time cycle.For the display of Cognitive task, at this
Invention is configured to periodically present, specifically can be provided with many groups, quiescent stage before often group includes the task of 15s, 30s
Quiescent stage after task phase and 15s task.In this course, display unit 51 can be a display, for periodically to being subject to
Inspection person shows mission bit stream.And in the middle of task, input block 52, can be conventional keyboard for computer etc., it is used for supplying
The feedback of person under inspection's cognitive task.Lock unit 53 is then software control part, for presenting period at Cognitive task, presses
Control Near-infrared Brain image-forming module 1 according to the above-mentioned time cycle and obtain Near-infrared Brain imaging collection of illustrative plates.
Processor 2, its Cognitive task being configured to according to described Cognitive task module 5 provides obtains and processes described the reddest
The corresponding Near-infrared Brain imaging collection of illustrative plates that external-brain's image-forming module 1 generates；In the middle of practical operation, this is partially completed all of data fortune
Calculating work, it can be the CPU of the platform architectures such as Intel, AMD, arm.
Data categorization module 4, its Near-infrared Brain imaging collection of illustrative plates being configured to process according to described processor is according to collection of illustrative plates ripple
Position phase, wave amplitude, frequency and/or the trend of shape are classified；In categorizing process, another alternative scheme is according to being stored in number
The Near-infrared Brain imaging collection of illustrative plates processed described processor according to the standard diagram information preset of memory module compares and divides
Class.Specifically, described preset standard profile information includes the low flat waveform of positive hyperbola normal waveform, negative, negative intersection point
From waveform, negative opening shape waveform, positive height wave amplitude waveform and positive opening shape waveform.
Data memory module 3, its Near-infrared Brain imaging collection of illustrative plates being configured to classify described data categorization module is deposited
Storage.
Claims (8)
1. Near-infrared Brain imaging collection of illustrative plates gathers and the system of analysis, including:
Near-infrared Brain imaging collection of illustrative plates acquisition workstation, it is configured to the local Near-infrared Brain imaging collection of illustrative plates gathering experimenter, at least
Including the Near-infrared Brain imager for generating collection of illustrative plates, for provide to experimenter default Cognitive task task module and
For analyzing and store the home server of collection of illustrative plates；
Remote data server, it is connected with multiple Near-infrared Brain imaging collection of illustrative plates acquisition workstations, and is configured to store standard drawing
Spectrum is to generate standard diagram storehouse；
Described home server according to the standard diagram of storage in the standard diagram storehouse of described remote data server to carrying out point
Class.
2. Near-infrared Brain imaging collection of illustrative plates as claimed in claim 1 gathers and the system of analysis, and described home server also includes one
Data categorization module, its be configured to the collection of illustrative plates that generates according to described Near-infrared Brain imager according to the position phase of collection of illustrative plates waveform, wave amplitude,
Frequency and/or trend are classified.
3. Near-infrared Brain imaging collection of illustrative plates as claimed in claim 1 gathers and the system of analysis, and described home server also includes one
Data memory module, its Near-infrared Brain imaging collection of illustrative plates being configured to classify described data categorization module stores.
4. Near-infrared Brain imaging collection of illustrative plates as claimed in claim 1 gathers and the system of analysis, and described task module includes a display
Unit, an input block and a lock unit, described display unit shows the cognition that need to complete with a period of time to person under inspection
Task；Described input block inputs corresponding feedback information for described person under inspection according to Cognitive task prompting；Described synchronization module is used
Module is presented in starting described Near-infrared Brain according to the described time cycle.
5. Near-infrared Brain imaging collection of illustrative plates as claimed in claim 4 gathers and the system of analysis, and the display cognition of described display unit is appointed
The time cycle of business includes before task quiescent stage after quiescent stage, task phase and task.
6. Near-infrared Brain imaging collection of illustrative plates as claimed in claim 5 gathers and the system of analysis, quiescent stage, task phase before described task
It is respectively 15s, 30s and 15s with the time of quiescent stage after task.
7. Near-infrared Brain imaging collection of illustrative plates as claimed in claim 1 gathers and the system of analysis, the cognition that described display unit shows
Task include Emotional Picture task, language fluency task, to referring to motor task or the Cognitive task unit group of symptom picture task
Become.
8. Near-infrared Brain imaging collection of illustrative plates as claimed in claim 1 gathers and the system of analysis, and described standard diagram includes that positive is double
The low flat waveform of curve normal waveform, negative, negative intersect and separate waveform, negative opening shape waveform, positive height wave amplitude waveform and just
Phase opening shape waveform.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106725308A (en) * | 2016-11-28 | 2017-05-31 | 武汉资联虹康科技股份有限公司 | Near infrared spectrum Brian Imaging detection means with high sensitivity data acquisition |
| CN110545735A (en) * | 2017-06-23 | 2019-12-06 | 松下知识产权经营株式会社 | Information processing method, information processing apparatus, and information processing system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102663414A (en) * | 2012-03-14 | 2012-09-12 | 大连灵动科技发展有限公司 | Cerebrum cognitive status recognition method based on cerebral function imaging |
| CN104573742A (en) * | 2014-12-30 | 2015-04-29 | 中国科学院深圳先进技术研究院 | Medical image classification method and system |
-
2016
- 2016-05-23 CN CN201610342176.4A patent/CN106055874B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102663414A (en) * | 2012-03-14 | 2012-09-12 | 大连灵动科技发展有限公司 | Cerebrum cognitive status recognition method based on cerebral function imaging |
| CN104573742A (en) * | 2014-12-30 | 2015-04-29 | 中国科学院深圳先进技术研究院 | Medical image classification method and system |
Non-Patent Citations (2)
| Title |
|---|
| V.S. ROTENBERG: "Functional brain asymmetry as a determiative factor in the theatment of depression:Theoretical implications", 《PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY》 * |
| 申晨煜 等: "基于多项认知任务近红外脑成像症状分类图谱研究", 《第十七届全国心理学学术会议论文摘要集》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106725308A (en) * | 2016-11-28 | 2017-05-31 | 武汉资联虹康科技股份有限公司 | Near infrared spectrum Brian Imaging detection means with high sensitivity data acquisition |
| CN106725308B (en) * | 2016-11-28 | 2019-08-23 | 武汉资联虹康科技股份有限公司 | Near infrared spectrum Brian Imaging detection device with the acquisition of highly sensitive data |
| CN110545735A (en) * | 2017-06-23 | 2019-12-06 | 松下知识产权经营株式会社 | Information processing method, information processing apparatus, and information processing system |
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Effective date of registration: 20161207 Address after: 100040 Yuquan Hospital of Tsinghua University, Shijingshan Road, Beijing, 5, China, Applicant after: Yuquan Hospital of Tsinghua University Applicant after: Tsinghua University Address before: 100040 Yuquan Hospital of Tsinghua University, Shijingshan Road, Beijing, 5, China, Applicant before: Yuquan Hospital of Tsinghua University |
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