CN107943284A - A kind of network marking system and method based on cerebral function imaging - Google Patents

A kind of network marking system and method based on cerebral function imaging Download PDF

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Publication number
CN107943284A
CN107943284A CN201711099073.0A CN201711099073A CN107943284A CN 107943284 A CN107943284 A CN 107943284A CN 201711099073 A CN201711099073 A CN 201711099073A CN 107943284 A CN107943284 A CN 107943284A
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CN
China
Prior art keywords
signal
mark
marker
feedback signal
cerebral function
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Pending
Application number
CN201711099073.0A
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Chinese (zh)
Inventor
孙聪
毛闰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan Capital Association Hong Kang Polytron Technologies Inc
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Wuhan Capital Association Hong Kang Polytron Technologies Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Wuhan Capital Association Hong Kang Polytron Technologies Inc filed Critical Wuhan Capital Association Hong Kang Polytron Technologies Inc
Priority to CN201711099073.0A priority Critical patent/CN107943284A/en
Publication of CN107943284A publication Critical patent/CN107943284A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality

Abstract

The invention discloses a kind of network marking system and method based on cerebral function imaging, including:Test side, LAN and marker, the marker are connected with test side, and the marker is also associated with communicator, the communicator and LAN connection;The test side, for providing outside stimulus, and records feedback signal, and feedback signal is sent to marker in real time;The marker, for producing mark signal;The communicator, is transmitted for the information of marker and LAN;The LAN, for storing the mark signal after mark.A kind of network marking system and method based on cerebral function imaging are provided described in the invention, it can accurately differentiate effective feedback signal by producing corresponding mark signal with feedback signal, improve accuracy rate.

Description

A kind of network marking system and method based on cerebral function imaging
Technical field
The invention is related to cerebral function imaging system regions, more particularly to a kind of network mark based on cerebral function imaging System and method.
Background technology
Since the 1970s, be born in succession various hurtless measures or it is traumatic it is less measurement live body human brain structure and The technology of function, wherein most of can show the result of measurement with by image format, these technologies be referred to as brain into As technology.Brain structure imaging technology is not only widely applied in clinical practice, and can be by the technical research brain Relation between structural damage and Cognitive deficiency, to understand that the brain architecture basics of cognitive function provide important research Means.
And the outside stimulus of existing cerebral function imaging equipment is usually continuous sexual stimulus, there is external action when detection When, outside stimulus and detection are also continuing, and can cause the inaccuracy of measurement data.
The content of the invention
For above-mentioned shortcoming of the prior art, it is an object of the present invention to one kind based on brain function into The network marking system and method for picture, its is simple in structure, carries out dozen calibration method using to feedback signal, realizes and determine accurately Feedback data.
The above-mentioned purpose of the invention is achieved by the following technical programs.
A kind of network marking system based on cerebral function imaging, including:Test side, LAN and marker, the mark Device is connected with test side, and the marker is also associated with communicator, the communicator and LAN connection;The test side, is used In offer outside stimulus, and feedback signal is recorded, and feedback signal is sent to marker in real time;The marker, for producing Raw mark signal;The communicator, is transmitted for the information of marker and LAN;The LAN, after storing mark Mark signal.
Preferably, the test side includes E-prime operating platforms, the E-prime operating platforms and the second communicator Connection, the E-prime operating platforms are used to provide outside stimulus, and collect and pre-process the feedback signal detected.
Preferably, the outside stimulus includes the stimulation of text, image and sound.
Preferably, the feedback signal includes limb action, voice and face-image.
Preferably, the marker is signal generator, and the marker packs the feedback signal and mark signal Send to LAN.
Preferably, the time and the time of end that the mark signal starts including mark.
Preferably, the mark signal is beginning and end signal, and the beginning and end signal mark is in feedback signal On time corresponding signal.
Preferably, the test side is multiple with marker, and is corresponded.
The invention additionally provides a kind of network marking method based on cerebral function imaging, including:
S1., outside stimulus is provided;
S2. collect and record feedback signal;
S3. mark signal is produced;
S4. mark signal is subjected to packing storage with corresponding feedback signal
Compared with prior art, the beneficial effect for the technical solution that the invention provides is:One kind is provided to be based on The network marking system and method for cerebral function imaging, it can by producing corresponding mark signal with feedback signal Effective feedback signal is accurately differentiated, improves accuracy rate.
Brief description of the drawings
Fig. 1 is a kind of structure diagram of the network marking system based on cerebral function imaging of the invention.
Fig. 2 is a kind of method flow diagram of the network marking method based on cerebral function imaging of the invention.
Embodiment
With reference to embodiments and the invention is described in detail in attached drawing.Wherein, being given for example only property of attached drawing Illustrate, expression is only schematic diagram, rather than pictorial diagram, it is impossible to is interpreted as the limitation to this patent;In order to which this hair is better described The embodiment of bright creation, some components of attached drawing have omission, zoom in or out, and do not represent the size of actual product;To ability For field technique personnel, some known features and its explanation may be omitted and will be understood by attached drawing.
Present embodiment provides a kind of network marking system based on cerebral function imaging, as shown in Figure 1, including:Inspection Survey end, LAN and marker, the marker to be connected with test side, the marker is also associated with communicator, the communication Device and LAN connection;The test side, for providing outside stimulus, and records feedback signal, and feedback signal is passed in real time Send to marker;The marker, for producing mark signal;The communicator, passes for the information of marker and LAN It is defeated;The LAN, for storing the mark signal after mark.
The test side includes E-prime operating platforms, and the E-prime operating platforms are connected with the second communicator, institute State E-prime operating platforms to be used to provide outside stimulus, and collect and pre-process the feedback signal detected, E-prime can be in Existing stimulation can be that text, image and sound (any combination that three can be presented at the same time) provide detailed temporal information , can be for further analysis with event details (including the details in time, reaction time is presented), help to understand actual experiment operation Matter of time.Specially towards mental experiment, and optimize for the time precision of mental experiment.Stimulate and present and screen brush New synchronous, precision includes limb action, voice and the face-image of detection user up to millisecond, the feedback signal.
The outside stimulus includes the stimulation of text, image and sound;The feedback signal include limb action, voice and Face-image.
The marker is signal generator, and the marker transmits the feedback signal and mark signal to office Domain net, the time and the time of end that the mark signal starts including mark.
The mark signal can also be beginning and end signal, and the beginning and end signal mark is in feedback signal Between on corresponding signal.
The test side is multiple with marker, and is corresponded, and realizes the mark at the same time of multiple detectors.
Present invention also offers a kind of network marking method based on cerebral function imaging, as shown in Fig. 2, including:
S1., outside stimulus is provided;
S2. collect and record feedback signal;
S3. mark signal is produced;
S4. mark signal is subjected to packing storage with corresponding feedback signal.
E-prime operating platforms open outside stimulus, and record feedback signal, test side feedback signal is sent in real time to Marker, the marker produce mark signal, the time and the time of end that the mark signal starts including mark, described It can also be beginning and end signal to mark signal, and the beginning and end signal mark is in feedback signal time corresponding signal On, the marker transmits the feedback signal and mark signal to LAN.
When providing a kind of network marking system and method based on cerebral function imaging described in the invention, it can Effective feedback signal can be accurately differentiated by producing corresponding mark signal with feedback signal, improves accuracy rate.
Obviously, above-described embodiment of the invention is used for the purpose of clearly demonstrating the invention example, And it is not the restriction to the embodiment of the invention.For those of ordinary skill in the field, stated upper It can also be made other variations or changes in different ways on the basis of bright, there is no need and unable to give all embodiments With exhaustion.All all any modification, equivalent and improvement made within the spirit and spirit of the invention etc., should all Within the invention scope of the claims.

Claims (9)

  1. A kind of 1. network marking system based on cerebral function imaging, it is characterised in that including:Test side, LAN and marker, The marker is connected with test side, and the marker is also associated with communicator, the communicator and LAN connection;
    The test side, for providing outside stimulus, and records feedback signal, and feedback signal is sent to marker in real time;
    The marker, for producing mark signal;
    The communicator, is transmitted for the information of marker and LAN;
    The LAN, for storing the mark signal after mark.
  2. A kind of 2. network marking system based on cerebral function imaging according to claim 1, it is characterised in that the detection End includes E-prime operating platforms, and the E-prime operating platforms are connected with the second communicator, the E-prime operating platforms For providing outside stimulus, and collect and pre-process the feedback signal detected.
  3. 3. a kind of network marking system based on cerebral function imaging according to claim 1 or 2, it is characterised in that described Outside stimulus includes the stimulation of text, image and sound.
  4. 4. a kind of network marking system based on cerebral function imaging according to claim 1 or 2, it is characterised in that described Feedback signal includes limb action, voice and face-image.
  5. A kind of 5. network marking system based on cerebral function imaging according to claim 1, it is characterised in that the mark Device is signal generator, and the marker transmits the feedback signal and mark signal to LAN.
  6. A kind of 6. network marking system based on cerebral function imaging according to claim 5, it is characterised in that the mark The time and the time of end that signal starts including mark.
  7. A kind of 7. network marking system based on cerebral function imaging according to claim 5, it is characterised in that the mark Signal is beginning and end signal, and the beginning and end signal mark is on feedback signal time corresponding signal.
  8. A kind of 8. network marking system based on cerebral function imaging according to claim 1, it is characterised in that the detection End is multiple with marker, and is corresponded.
  9. A kind of 9. network marking method based on cerebral function imaging, it is characterised in that including:
    S1., outside stimulus is provided;
    S2. collect and record feedback signal;
    S3. mark signal is produced;
    S4. mark signal is subjected to packing storage with corresponding feedback signal.
CN201711099073.0A 2017-11-09 2017-11-09 A kind of network marking system and method based on cerebral function imaging Pending CN107943284A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711099073.0A CN107943284A (en) 2017-11-09 2017-11-09 A kind of network marking system and method based on cerebral function imaging

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711099073.0A CN107943284A (en) 2017-11-09 2017-11-09 A kind of network marking system and method based on cerebral function imaging

Publications (1)

Publication Number Publication Date
CN107943284A true CN107943284A (en) 2018-04-20

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CN201711099073.0A Pending CN107943284A (en) 2017-11-09 2017-11-09 A kind of network marking system and method based on cerebral function imaging

Country Status (1)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8655428B2 (en) * 2010-05-12 2014-02-18 The Nielsen Company (Us), Llc Neuro-response data synchronization
CN104287726A (en) * 2014-08-27 2015-01-21 中国科学院自动化研究所 Brain activity event synchronous recording system and method
CN105962929A (en) * 2015-03-13 2016-09-28 胡渐佳 Brain wave data sectional-type recording method and device, and brain wave data sectional-type displaying device
CN107045593A (en) * 2017-04-17 2017-08-15 浙江大学 Brain function experimental duties stimulating system with Real-time Feedback and task more New function

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8655428B2 (en) * 2010-05-12 2014-02-18 The Nielsen Company (Us), Llc Neuro-response data synchronization
CN104287726A (en) * 2014-08-27 2015-01-21 中国科学院自动化研究所 Brain activity event synchronous recording system and method
CN105962929A (en) * 2015-03-13 2016-09-28 胡渐佳 Brain wave data sectional-type recording method and device, and brain wave data sectional-type displaying device
CN107045593A (en) * 2017-04-17 2017-08-15 浙江大学 Brain function experimental duties stimulating system with Real-time Feedback and task more New function

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Application publication date: 20180420

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