CN106293088A - Brain-computer interface processing system and its implementation - Google Patents
Brain-computer interface processing system and its implementation Download PDFInfo
- Publication number
- CN106293088A CN106293088A CN201610651523.1A CN201610651523A CN106293088A CN 106293088 A CN106293088 A CN 106293088A CN 201610651523 A CN201610651523 A CN 201610651523A CN 106293088 A CN106293088 A CN 106293088A
- Authority
- CN
- China
- Prior art keywords
- api
- module
- eeg signals
- brain
- computer interface
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input 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
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Neurosurgery (AREA)
- Neurology (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Dermatology (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Epidemiology (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses a kind of brain-computer interface processing system and its implementation, belong to eeg signal acquisition and application.Described brain-computer interface processing system includes brain-computer interface processing means and software application platform, described brain-computer interface processing means includes dry electrode, eeg signal acquisition and parsing module, microprocessor, wireless communication module and process and the display terminal being sequentially connected with, described software application platform includes EEG signals memory module, EEG signals online feedback module and open api interface, and it is mutual that described microprocessor carries out information with wireless communication module, EEG signals memory module, EEG signals online feedback module and open api interface respectively;It is mutual that described wireless communication module and process and display terminal carry out information.The present invention can facilitate user to carry eeg monitoring equipment, it is simple to doctor, family members' nurse to user, and the brain electric information calling user for scientific research personnel by open API provides convenient.
Description
Technical field
The invention belongs to eeg signal acquisition and application, be specifically related to a kind of brain-computer interface processing system and realization thereof
Method.
Background technology
At present, the collection of EEG signals, processing, store and Display Technique is the core technology of brain electricity monitoring, this technology is borrowed
Helping brain electricity monitor the EEG signals of guarded patient the most successively to be shown, the doctor for department of neurology observes this
The situation of change of patient's electroencephalogram, rescues timely to provide and treats.
And the object carrying out brain electricity monitoring mainly suffers from epilepsy, cranium brain infects and affects the disease of physiological brain metabolism
Sick patient, but such state of an illness is many times intermittent bursts, is not the most all to occur, the most medical brain electricity
Monitor equipment price is expensive, volume big, monitoring of being in hospital for a long time, not only can bring huge financial burden to patient, also can
Expending huge medical resource, simultaneously because telecommunications network architecture and agreement and the change of network technology, scientific research personnel is adjusting
During by user EEG signals, need frequently to change various different softwares and operate, thus increased the weight of workload, bring work
Bear.
Summary of the invention
The technical problem to be solved in the present invention is to provide one and user can be facilitated to carry eeg monitoring equipment, convenient doctor
Raw, family members' nurse to user, and call the brain electric information offer of user easily by open API for scientific research personnel
Brain-computer interface processing system and its implementation.
For solving above-mentioned technical problem, the present invention provides technical scheme as follows:
On the one hand, the present invention provides a kind of brain-computer interface processing system, including brain-computer interface processing means and software application
Platform, described brain-computer interface processing means includes dry electrode, eeg signal acquisition and the parsing module being sequentially connected with, micro-process
Device, wireless communication module and have process and the display terminal of radio communication function, described software application platform includes brain telecommunications
Number memory module, EEG signals online feedback module and open api interface, wherein:
Described dry electrode is used for being connected with the brain of user, the original EEG signals signal of Real-time Collection user;
Described eeg signal acquisition and parsing module are asic chip, for adopting described original EEG signals signal
Collection, amplification, analog digital conversion and signal analysis;
Described microprocessor respectively with wireless communication module, EEG signals memory module, EEG signals online feedback module
To carry out information mutual with open api interface;
It is mutual that described wireless communication module and process and display terminal carry out information.
Further, described microprocessor uses MSP430 single-chip microcomputer, and described wireless communication module is bluetooth module, described
Process and display terminal is removable computer or mobile phone.
Further, described brain-computer interface processing means also includes alarm module and power module, described alarm module
Signal input part is connected with the alarm signal output ends of described microprocessor, described power module for for eeg signal acquisition and
Parsing module, microprocessor, wireless communication module and alarm module provide power supply.
Further, described alarm module includes that at least one audible-visual annunciator, described process and display terminal have certainly
Dynamic dial feature.
On the other hand, the present invention also provides for the implementation method of a kind of above-mentioned brain-computer interface processing system, including:
Step 1: described dry electrode is connected with the brain of user, described dry electrode Real-time Collection user diverse location
Original EEG signals, and transmit to described eeg signal acquisition and parsing module;
Step 2: described original EEG signals is acquired, amplifies by described eeg signal acquisition and parsing module, modulus
Conversion and signal analysis, and the EEG signals transmission extremely described microprocessor that will finally give;
Step 3: described microprocessor is by described EEG signals transmission to described wireless communication module, EEG signals storage mould
Block, EEG signals online feedback module and open api interface;
Step 4: the transmission of described EEG signals is shown by described wireless communication module to described process and display terminal,
Described EEG signals online feedback module judges that described EEG signals is the most normal, if normally, then returns step 1, if not
Normally, then step 5 is performed;
Step 5: abnormal for EEG signals signal is transmitted by described EEG signals online feedback module by microprocessor
To described alarm module and wireless communication module, described alarm module sends alarm signal, and described wireless communication module is by brain electricity
The transmission of signal abnormal signal is to processing and display terminal, and described process and display terminal enable automatic dialing notice doctor
Life and family members.
Further, also include after step 5:
Step 6: scientific research personnel calls, by described software application platform, the EEG signals collected.
Further, the api interface of described opening uses the method for protecting software hidden based on API security attribute to protect
Protecting, described API security attribute is hidden and is included that API security attribute collection, basic module build and file reconstruct, wherein:
Described API security attribute collection includes that API name, API Calls position, API parameter, API entrance and API return
Value;
Described basic module builds and includes that deformation passes ginseng code block, new entry code block and return value encryption function module,
Described deformation passes ginseng code block and is used for obscuring the code object-code obfuscation device pointed by described API parameter, described
New entry code block is used for importing in the new address of module dynamic dump to program, and by the API entrance at new address
Address is as the new entrance of corresponding A PI, and it is close that described return value encryption function module is used for using PRNG to generate
Key, and use AES to encrypt return value;
The reconstruct of described file includes that API name is removed, basic module embeds and trap instruction inserts, and described API name is clear
Except for the API name in protected files all in software application platform being purged, described basic module embeds to be used
In being embedded in protected file, perform described deformation successively and pass ginseng code block, new entry code block and return value encryption merit
Can module, and then generate the new file after protection, described trap instruction inserts and comprises trap and process function, be used for deciphering described in return
Return value encryption function module, obtain decruption key.
Further, in described step 6, after the api interface of described opening is protected, clerk personnel pass through described software
Safety certification need to be carried out when application platform calls the EEG signals collected, including:
Step 61: the api interface of described opening receives and responds clerk personnel by calling that computer server is sent
The API request of the EEG signals collected, then extracts API Calls position according to described API request, and obtains described API
The API name of calling station, API parameter, API entrance and API return value, build subsequently into described basic module and hold successively
Row deformation passes ginseng code block, new entry code block and return value encryption function module, performs described API name simultaneously and removes with clearly
Except described API name, and then generate the file after protection, i.e. realize the safeguard protection of application platform;
Step 62: when performing to described API return value, the described trap instruction pre-set is triggered, and jumps into trap
Process in function and decipher described return value encryption function module, and then in the presence of can determine whether the return value of deciphering and program
API deciphering return value is the most corresponding, if so, forwards step 63 to, otherwise forwards step 64 to;
Step 63: API response message is sent to computer server by described software application platform, scientific research personnel obtains required
The user's brain electric information wanted;
Step 64: authentication failure message is sent to computer server by described software application platform, stops API response.
The method have the advantages that
Compared with prior art, brain-computer interface processing system and its implementation of the present invention uses dry electrode to user
EEG signals be acquired, and use asic chip to carry out signals collecting and place as eeg signal acquisition and parsing module
Reason, asic chip is integrated with the functions such as collection, amplification, analog digital conversion and electroencephalogramsignal signal analyzing, and powerful, volume is little, weight
Amount is light, it is achieved that the portability of brain-computer interface processing means, the brain-computer interface processing system of the present invention also has brain telecommunications simultaneously
Number abnormal alarm function, can send alarm signal when user is had an attack of one's old illness;Software application platform uses EEG signals storage mould
Block can store long-time EEG signals, uses wireless communication module to transmit the EEG signals collected, convenient process and display
Terminal carries out display monitoring to EEG signals;The brain-computer interface processing system of the present invention is greatly reduced the volume of equipment, convenient
Patient carries with use, reduces monitoring cost, and the data simultaneously stored are conducive to doctor's diagnosis afterwards to the state of an illness;This
Software application platform in bright brain-computer interface processing system and its implementation uses open api interface, for scientific research personnel
Call user EEG signals to provide conveniently.
Accompanying drawing explanation
Fig. 1 is the fundamental system block schematic illustration of the brain-computer interface processing system of the present invention;
Fig. 2 is the schematic flow sheet of the implementation method of the brain-computer interface processing system of the present invention;
Fig. 3 is that the flow process of the software application platform safety certification of the implementation method of the brain-computer interface processing system of the present invention is shown
It is intended to.
Detailed description of the invention
For making the technical problem to be solved in the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and tool
Body embodiment is described in detail.
On the one hand, the present invention provides a kind of brain-computer interface processing system, as it is shown in figure 1, include brain-computer interface processing means
100 and software application platform 200, brain-computer interface processing means 100 includes dry electrode 101, the eeg signal acquisition being sequentially connected with
And parsing module 102, microprocessor 103, wireless communication module 104 and there is process and the display terminal of radio communication function
105, software application platform 200 includes EEG signals memory module 201, EEG signals online feedback module 202 and open API
Interface 203, wherein:
Dry electrode 101 is used for being connected with the brain of user, the original EEG signals signal of Real-time Collection user;
Eeg signal acquisition and parsing module 102 are asic chip, are used for the collection to original EEG signals signal, put
Greatly, analog digital conversion and signal analysis;
Microprocessor 103 respectively with wireless communication module 104, EEG signals memory module 201, EEG signals online feedback
It is mutual that module 202 and open api interface 203 carry out information;
It is mutual that wireless communication module 104 and process and display terminal 105 carry out information.
The brain-computer interface processing system of the present invention uses dry electrode 101 to be acquired the EEG signals of user, and adopts
Carry out Signal sampling and processing with asic chip as eeg signal acquisition and parsing module 102, asic chip be integrated with collection,
The functions such as amplification, analog digital conversion and electroencephalogramsignal signal analyzing, powerful, volume is little, lightweight, it is achieved that brain-computer interface processes
The portability of device, the brain-computer interface processing system of the present invention also has EEG signals abnormal alarm function simultaneously, can make
Alarm signal is sent when user has an attack of one's old illness;Software application platform 200 uses EEG signals memory module 201 can store long-time brain
The signal of telecommunication, uses wireless communication module 104 to transmit the EEG signals collected, and convenient process and display terminal 105 are to brain telecommunications
Number carry out showing and monitoring;The brain-computer interface processing system of the present invention is greatly reduced the volume of equipment, facilitates patient to take with oneself
Band uses, and reduces monitoring cost, and the data simultaneously stored are conducive to doctor's diagnosis afterwards to the state of an illness;The brain machine of the present invention connects
Software application platform 200 in mouth processing system uses open api interface 203, calls user brain telecommunications for scientific research personnel
Number provide conveniently.
Preferably, microprocessor can use MSP430 single-chip microcomputer, wireless communication module 104 to be bluetooth module, process and
Display terminal is removable computer or mobile phone.MSP430 single-chip microcomputer volume is little, low in energy consumption, and bluetooth module possesses the most stable safety
Signal transmission feature, can realize fixing equipment, short-range data exchange between mobile device and building personal area network, mobile electricity
Brain or mobile phone can be carried with, and facilitate doctor or user family members to understand the state of an illness of user at any time.
Further, brain-computer interface processing means 100 can also include alarm module 107 and power module 106, warning mould
The signal input part of block 107 is connected with the alarm signal output ends of microprocessor 103, and power module 106 is used for as EEG signals
Gather and parsing module 102, microprocessor 103, wireless communication module 104 and alarm module 107 provide power supply.Power module is excellent
Choosing uses 3.7V poly-lithium battery, and volume is little, and power-on time is long.
Preferably, alarm module 107 includes at least one audible-visual annunciator, processes and display terminal 105 has automatic poking
Number function.It is that audible-visual annunciator can be simultaneously emitted by when receiving alarm signal when the EEG signals of user occurs abnormal
Sound, two kinds of alarm signals of light, and process and display terminal 105 start automatic dialing and notify doctor and user family members.
On the other hand, the present invention also provides for the implementation method of a kind of above-mentioned brain-computer interface processing system, such as Fig. 2 to Fig. 3 institute
Show, including:
Step S1: dry electrode 101 is connected with the brain of user, dry electrode 101 Real-time Collection user diverse location
Original EEG signals, and transmit to eeg signal acquisition and parsing module 102;
Step S2: eeg signal acquisition and parsing module 102 will connect that original EEG signals is acquired, amplifies, modulus turns
Change and signal analysis, and the EEG signals finally given is transmitted to microprocessor 103;
Step S3: EEG signals is transmitted to wireless communication module 104, EEG signals memory module by microprocessor 103
201, EEG signals online feedback module 202 and open api interface 203;
Step S4: EEG signals transmission is shown by wireless communication module 104 to process and display terminal 105, brain electricity
Signal online feedback module 202 judges that EEG signals is the most normal, if normally, then returns step S1, if abnormal, then holds
Row step S5;
Step S5: abnormal for EEG signals signal is passed by EEG signals online feedback module 202 by microprocessor 103
Transporting to alarm module 107 and wireless communication module 104, alarm module 107 sends alarm signal, and wireless communication module 104 is by brain
The transmission of the signal of telecommunication abnormal signal, to processing and display terminal 105, processes and display terminal 105 enables automatic dialing and leads to
Know doctor and family members.
The implementation method of the brain-computer interface processing system of the present invention uses dry electrode 101 to carry out the EEG signals of user
Gather, and use asic chip to carry out Signal sampling and processing, the simultaneously present invention as eeg signal acquisition and parsing module 102
Brain-computer interface processing system also there is EEG signals abnormal alarm function, alarm signal can be sent when user is had an attack of one's old illness;
Software application platform 200 uses EEG signals memory module 201 can store long-time EEG signals, uses wireless communication module
104 transmit the EEG signals that collects, convenient process and EEG signals is shown and monitors by display terminal 105;The present invention
The implementation method of brain-computer interface processing system make the data of storage be conducive to doctor's diagnosis afterwards to the state of an illness.
Further, also include after step S5:
Step S6: scientific research personnel calls the EEG signals collected by software application platform.The brain-computer interface of the present invention
Software application platform 200 in processing system uses open api interface 203, calls user EEG signals for scientific research personnel
Provide conveniently.
Preferably, open api interface 203 uses the method for protecting software hidden based on API security attribute to protect,
API security attribute is hidden and is included API security attribute collection 300, basic module structure 400 and file reconstruct 500, wherein:
API security attribute collection 300 includes API name 301, API Calls position 302, API parameter 303, API entrance 304
It is worth 305 with API return;
Basic module builds 400 and includes that deformation passes ginseng code block 401, new entry code block 402 and return value encryption function
Module 403, deformation passes ginseng code block 401 for being obscured, newly by the code object-code obfuscation device pointed by API parameter
Entry code block 402 is used for importing in the new address of module dynamic dump to program, and by the API entrance at new address
Address is as the new entrance of corresponding A PI, and it is close that return value encryption function module 403 is used for using PRNG to generate
Key, and use AES to encrypt return value;
File reconstruct 500 includes that API name is removed 501, basic module embedding 502 and trap instruction and inserted 503, API name
Word is removed 501 and is used for being purged the API name 301 in protected files all in software application platform, basic module
Embed 502 to be used for being embedded in protected file, perform deformation successively and pass ginseng code block 401, new entry code block 402 and return
Returning value encryption function module 403, and then generate the new file after protection, trap instruction insertion 503 comprises trap and processes function, uses
In deciphering return value encryption function module 403, obtain decruption key.
Api interface 203 in the software application platform 200 of the present invention, owing to being open, is easily subject to attack, steals
The information of user.When assailant attacks software application platform, the security attribute obtaining API is needed to have: API name, API join
Number and return value, therefore need software application platform 200 is protected, the present invention use based on API security attribute hide soft
Part guard method, is hidden API security attribute, and it is evil that assailant can not extract API name, API parameter and return value town
Content, and due to hide after, program uses new entrance, and is encrypted return value, and assailant is timely
Distorted return value, program can not be made it is anticipated that flow process perform, the present invention use based on API security attribute hide
Method for protecting software can stop the acquisition of API security attribute to a certain extent.
As the another kind of improvement of the present invention, in step S6, after open api interface 203 is protected, clerk personnel can
Safety certification need to be carried out during to call, by software application platform 200, the EEG signals collected, including:
Step S61: open api interface 203 receives and responds clerk personnel by calling that computer server is sent
The API request of the EEG signals collected, then extracts API Calls position 302 according to API request, and obtains API Calls position
Put 302 API name 301, API parameter 303, API entrance 304 and API return value 305, subsequently into basic module build
400 perform deformation successively passes ginseng code block 401, new entry code block 402 and return value encryption function module 403, performs simultaneously
The removing 501 of API name is to remove API name 301, and then generates the file after protection, i.e. realizes the safeguard protection of application platform;
Step S62: when performing to be worth 305 to API return, the trap instruction 503 pre-set is triggered, and jumps into sunken subsequently
Trap processes deciphers return value encryption function module 403 in function, and then in the presence of can determine whether the return value of deciphering and program
API deciphering return value is the most corresponding, if so, forwards step S63 to, otherwise forwards step S64 to;
Step S63: API response message is sent to computer server by software application platform 200, scientific research personnel obtains required
The user's brain electric information wanted;
Step S64: authentication failure message is sent to computer server by software application platform 200, stops API response.
Clerk personnel carry out needing the side of safety certification when calling, by software application platform 200, the EEG signals collected
Method, had both facilitated scientific research personnel's extraction to EEG signals, can prevent again assailant from stealing the health and fitness information of user, it is ensured that to make
The safety of user's health and fitness information.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, on the premise of without departing from principle of the present invention, it is also possible to make some improvements and modifications, these improvements and modifications are also
Should be regarded as protection scope of the present invention.
Claims (8)
1. a brain-computer interface processing system, it is characterised in that include brain-computer interface processing means and software application platform, described
Dry electrode, eeg signal acquisition and parsing module that brain-computer interface processing means includes being sequentially connected with, microprocessor, radio communication
Module and there is process and the display terminal of radio communication function, described software application platform include EEG signals memory module,
EEG signals online feedback module and open api interface, wherein:
Described dry electrode is used for being connected with the brain of user, the original EEG signals signal of Real-time Collection user;
Described eeg signal acquisition and parsing module are asic chip, are used for the collection to described original EEG signals signal, put
Greatly, analog digital conversion and signal analysis;
Described microprocessor respectively with wireless communication module, EEG signals memory module, EEG signals online feedback module and open
It is mutual that the api interface put carries out information;
It is mutual that described wireless communication module and process and display terminal carry out information.
Brain-computer interface processing system the most according to claim 1, it is characterised in that described microprocessor uses MSP430 mono-
Sheet machine, described wireless communication module is bluetooth module, and described process and display terminal are removable computer or mobile phone.
Brain-computer interface processing system the most according to claim 2, it is characterised in that described brain-computer interface processing means is also wrapped
Including alarm module and power module, the signal input part of described alarm module connects with the alarm signal output ends of described microprocessor
Connecing, described power module is for carrying for eeg signal acquisition and parsing module, microprocessor, wireless communication module and alarm module
Power supply source.
4. according to described brain-computer interface processing system arbitrary in claims 1 to 3, it is characterised in that described alarm module bag
Including at least one audible-visual annunciator, described process and display terminal have automatic dialing.
5. the implementation method of arbitrary described brain-computer interface processing system in Claims 1-4, it is characterised in that including:
Step 1: described dry electrode is connected with the brain of user, described dry electrode Real-time Collection user diverse location former
Beginning EEG signals, and transmit to described eeg signal acquisition and parsing module;Step 2: described eeg signal acquisition and parsing mould
Described original EEG signals is acquired, amplifies by block, analog digital conversion and signal analysis, and the EEG signals that will finally give
Transmission is to described microprocessor;
Step 3: described microprocessor by described EEG signals transmission to described wireless communication module, EEG signals memory module,
EEG signals online feedback module and open api interface;
Step 4: the transmission of described EEG signals is shown by described wireless communication module to described process and display terminal, described
EEG signals online feedback module judges that described EEG signals is the most normal, if normally, then returns step 1, if abnormal,
Then perform step 5;
Step 5: abnormal for EEG signals signal is transmitted to institute by described EEG signals online feedback module by microprocessor
Stating alarm module and wireless communication module, described alarm module sends alarm signal, and described wireless communication module is by EEG signals
Abnormal signal transmission to process and display terminal, described process and display terminal enable automatic dialing notify doctor and
Family members.
The implementation method of brain-computer interface processing system the most according to claim 5, it is characterised in that also wrap after step 5
Include:
Step 6: scientific research personnel calls, by described software application platform, the EEG signals collected.
The implementation method of brain-computer interface processing system the most according to claim 6, it is characterised in that the API of described opening
Interface uses the method for protecting software hidden based on API security attribute to protect, and described API security attribute is hidden and included API
Security attribute collection, basic module build and file reconstruct, wherein:
Described API security attribute collection includes API name, API Calls position, API parameter, API entrance and API return value;
Described basic module builds and includes that deformation passes ginseng code block, new entry code block and return value encryption function module, described
Deformation passes ginseng code block for being obscured by the code object-code obfuscation device pointed by described API parameter, described newly enters
Mouth code block is used for importing in the new address of module dynamic dump to program, and by the API entry address at new address
As the new entrance of corresponding A PI, described return value encryption function module is used for using PRNG to generate key, and
Use AES encryption return value;
The reconstruct of described file includes that API name is removed, basic module embeds and trap instruction inserts, and described API name is removed and used
In the API name in protected files all in software application platform being purged, described basic module embeds for embedding
Enter in protected file, perform described deformation successively and pass ginseng code block, new entry code block and return value encryption function mould
Block, and then generate the new file after protection, described trap instruction inserts and comprises trap process function, is used for deciphering described return value
Encryption function module, obtains decruption key.
The implementation method of brain-computer interface processing system the most according to claim 7, it is characterised in that in described step 6, institute
State after open api interface protects, when clerk personnel call, by described software application platform, the EEG signals collected
Need to carry out safety certification, the method for safety certification includes:
Step 61: the api interface of described opening receives and responds clerk personnel and called collection by what computer server sent
The API request of the EEG signals arrived, then extracts API Calls position according to described API request, and obtains described API Calls
The API name of position, API parameter, API entrance and API return value, build subsequently into described basic module and perform change successively
Shape passes ginseng code block, new entry code block and return value encryption function module, performs described API name simultaneously and removes to remove institute
State API name, and then generate the file after protection, i.e. realize the safeguard protection of application platform;
Step 62: when performing to described API return value, the described trap instruction pre-set is triggered, jumps into trap and processes
Function is deciphered described return value encryption function module, and then can determine whether that the API in the presence of the return value deciphered and program solves
Close return value is the most corresponding, if so, forwards step 63 to, otherwise forwards step 64 to;
Step 63: API response message is sent to computer server by described software application platform, and scientific research personnel obtains required
User's brain electric information;
Step 64: authentication failure message is sent to computer server by described software application platform, stops API response.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610651523.1A CN106293088A (en) | 2016-08-10 | 2016-08-10 | Brain-computer interface processing system and its implementation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610651523.1A CN106293088A (en) | 2016-08-10 | 2016-08-10 | Brain-computer interface processing system and its implementation |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106293088A true CN106293088A (en) | 2017-01-04 |
Family
ID=57667825
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610651523.1A Pending CN106293088A (en) | 2016-08-10 | 2016-08-10 | Brain-computer interface processing system and its implementation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106293088A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108595015A (en) * | 2018-06-29 | 2018-09-28 | 陈龙飞 | A kind of imagination travelling therapy through the guiding of brain machine indicates system and method |
CN110850978A (en) * | 2019-11-06 | 2020-02-28 | 中国科学院自动化研究所 | Full-implanted brain-computer interface system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102599901A (en) * | 2012-02-10 | 2012-07-25 | 无锡先凯智能科技有限公司 | Physiological weak current signal acquiring and processing system and device |
CN204798638U (en) * | 2015-03-16 | 2015-11-25 | 北京品驰医疗设备有限公司 | Implanted medical instrument's remote monitering system's patient terminal |
CN105653905A (en) * | 2015-12-28 | 2016-06-08 | 西北大学 | Software protection method based on API (Application Program Interface) security attribute hiding and attack threat monitoring |
-
2016
- 2016-08-10 CN CN201610651523.1A patent/CN106293088A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102599901A (en) * | 2012-02-10 | 2012-07-25 | 无锡先凯智能科技有限公司 | Physiological weak current signal acquiring and processing system and device |
CN204798638U (en) * | 2015-03-16 | 2015-11-25 | 北京品驰医疗设备有限公司 | Implanted medical instrument's remote monitering system's patient terminal |
CN105653905A (en) * | 2015-12-28 | 2016-06-08 | 西北大学 | Software protection method based on API (Application Program Interface) security attribute hiding and attack threat monitoring |
Non-Patent Citations (1)
Title |
---|
张聪等: "一种基于API安全属性隐藏的软件保护方法", 《山东大学学报(理学版)》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108595015A (en) * | 2018-06-29 | 2018-09-28 | 陈龙飞 | A kind of imagination travelling therapy through the guiding of brain machine indicates system and method |
CN110850978A (en) * | 2019-11-06 | 2020-02-28 | 中国科学院自动化研究所 | Full-implanted brain-computer interface system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Li et al. | Is blockchain for Internet of Medical Things a panacea for COVID-19 pandemic? | |
CN103155509B (en) | For the method and apparatus providing continuous certification based on dynamic personal information | |
CN105187216B (en) | A kind of data safety processing method, device and system | |
WO2008091683A2 (en) | System and method for physiological data readings, transmission and presentation | |
CN103415852A (en) | Remote monitoring systems for monitoring medical devices via wireless communication networks | |
CN108647961A (en) | Digital cash wallet based on electrocardiosignal authentication | |
Kamel et al. | Remote patient tracking and monitoring system | |
CN103142213A (en) | Method and system for remote controlling monitor by mobile terminal | |
CN103929741A (en) | Wireless body area network data encryption and transmission method based on function authentication | |
Rahman et al. | Secure management of low power fitness trackers | |
CN106510686A (en) | Heart disease diagnosis system based on cloud service | |
Pan et al. | Security mechanism for a wireless-sensor-network-based healthcare monitoring system | |
CN106293088A (en) | Brain-computer interface processing system and its implementation | |
CN112509655A (en) | Intelligent medical data acquisition system based on block chain | |
Sufi et al. | Enforcing secured ecg transmission for realtime telemonitoring: A joint encoding, compression, encryption mechanism | |
CN103347076A (en) | Monitoring device information monitoring method and system | |
Saleem et al. | Low delay and secure M2M communication mechanism for eHealthcare | |
CN107147638A (en) | The medical data Transmission system and method for dynamic encryption | |
Turab et al. | Secure medical internet of things framework based on parkerian hexad model | |
CN103473722B (en) | A kind of doctor-patient dispute early warning system | |
Siebra et al. | An embedded mobile deductive system for low cost health monitoring support | |
CN204708844U (en) | A kind of intelligent wireless electrocardiogram equipment and electrocardiogram equipment wireless communication system | |
CN210575132U (en) | Wisdom ward information interaction system | |
CN110827940B (en) | Health data management method based on wearable equipment | |
Almehmadi et al. | A secure fog-cloud based architecture for MIoT |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination |