CN202589519U - Wearing type wireless brain signal collecting system based on radio frequency identification - Google Patents
Wearing type wireless brain signal collecting system based on radio frequency identification Download PDFInfo
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- CN202589519U CN202589519U CN 201220236238 CN201220236238U CN202589519U CN 202589519 U CN202589519 U CN 202589519U CN 201220236238 CN201220236238 CN 201220236238 CN 201220236238 U CN201220236238 U CN 201220236238U CN 202589519 U CN202589519 U CN 202589519U
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Abstract
The utility model discloses a wearing type wireless brain signal collecting system based on radio frequency identification. The wearing type wireless brain signal collecting system comprises a data collecting unit, a data transmission unit and a data processing unit, wherein the data collection unit comprises a dry electrode, an amplification filtering module and a first single chip microcomputer, the data transmission unit comprises a wireless sending module and a wireless receiving module, the data processing unit comprises a second single chip microcomputer and a computer, the first single chip computer is controls the dry electrode to collect brain wave signals, the brain wave signals are sent to the second single chip microcomputer after being processed by the amplification filtering module, the second single chip microcomputer receives the brain wave signals through the radio receiving module, and the brain wave signals are transmitted to the computer. The wearing type wireless brain signal collecting system has the beneficial effects that the size is small, the cost is low, the power consumption is low, the wearing type wireless brain signal collecting system is portable and can be worn by people, and the complete wireless transmission function is realized.
Description
Technical field
This utility model relates to and the eeg signal acquisition technical field, particularly relates to the wireless eeg signal acquisition of a kind of Wearable based on RF identification system.
Background technology
Electroencephalogram is a kind of waveform with sinusoidal wave rhythm and pace of moving things, and it is the time dependent curve of point-to-point transmission potential difference on the scalp.Electroencephalogram (EEG) is applied to medical science detection, clinical diagnosis and emerging field of brain-computer interfaces.Wherein become a kind of research focus based on EEG's Recognition driver Alertness state, the wearable eeg signal acquisition device of driver is its necessary guarantee.
The eeg signal acquisition system is mainly by electrode, and mould/number conversion module, microcontroller and transfer of data etc. partly constitute.Traditional brain wave acquisition technology adopts wet electrode usually, manpower, and material resources, the time cost is more, and the use of conducting medium has increased the uncertainty of experiment.Microcontroller is general adopt below several types: common single-chip microcomputer, DSP digital signal processing chip, ARM or FPGA.ARM, DSP and the high power consumption of fpga chip cost are big.Tcp data segment adopts wire transmission, has limited environment for use, and is not convenient; It is higher that the employing Bluetooth technology that perhaps has is carried out the wireless transmission cost, suitable short range transmission.
The product development cost of comparative maturity is higher in the existing external brain wave acquisition equipment, be difficult to promote at home, and domestic in this respect research is started late, and technology is not mature enough.
The utility model content
The purpose of this utility model is to provide the wireless eeg signal acquisition of a kind of Wearable based on RF identification system, through adopting portable structural design and wireless communication module, has overcome the deficiency in the conventional art, thereby realizes the purpose of this utility model.
The technical problem that this utility model solved can adopt following technical scheme to realize:
Based on the wireless eeg signal acquisition of the Wearable of RF identification system, it is characterized in that it comprises data acquisition unit, data transmission unit and data processing unit;
Said data acquisition unit comprises dried electrode, the amplification filtering module that is connected with dried electrode output, first single-chip microcomputer; The dried electrode of first Single-chip Controlling is gathered eeg signal, after the amplification filtering resume module, sends to second singlechip through wireless sending module;
Said data transmission unit comprises wireless sending module and wireless receiving module;
Said data processing unit comprises second singlechip and computer, and second singlechip is accepted eeg signal through wireless receiving module, and is transferred to computer.
In an embodiment of this utility model, connect through the SPI interface between said first single-chip microcomputer and wireless sending module, second singlechip and the wireless receiving module.
In an embodiment of this utility model, said dried electrode is the dried electrode of micropin formula.
The beneficial effect of this utility model is: volume is little, low-cost, low-power consumption, portable wearable, has more perfect wireless transmission function.
Description of drawings
Fig. 1 is the block diagram of the wireless eeg signal acquisition of the described Wearable of this utility model system.
Fig. 2 is many equipment sketch map of the wireless eeg signal acquisition of the described Wearable of this utility model system.
Fig. 3 is the work sketch map of the described amplification filtering module of this utility model.
The specific embodiment
For technological means, creation characteristic that this utility model is realized, reach purpose and be easy to understand understanding with effect, below in conjunction with the specific embodiment, further set forth this utility model.
Like Fig. 1, Fig. 2 and shown in Figure 3, the wireless eeg signal acquisition of the described Wearable based on RF identification of this utility model system, mainly be made up of following functional part:
Dried electrode: be attached to scalp surface, write down brain wave, and signal is passed to the amplification filtering module.
The amplification filtering module: the EEG signals that electrode is write down amplify, filtering, and carry out the A/D conversion.
First single-chip microcomputer: directly control acquisition module, EEG signals are gathered and data packings is transmitted to the higher level.
Communication module: comprise wireless sending module and wireless receiving module, be used for carrying out between acquisition module and the receiver module radio communication.
Second singlechip: receive eeg data through wireless module, eeg data is uploaded to computer through serial ports.
Computer: the host computer that uses Visual C++6.0 to write, be used for man-machine interaction, be used for sender's order and the brain wave data that demonstration, storage of collected arrive.
The design of eeg signal hardware of data acquisition:
Dried electrode: this project adopts and can stablize the dried electrode of the popular micropin formula of employing that contacts with skin.
Amplifying circuit: native system EEG signals amplifying circuit comprises several parts such as pre-amplification circuit, high-pass filtering circuit, back level amplifying circuit and low-pass filter circuit.
Power circuit: consider portability, service life and voltage stable problem adopt the 9v lithium battery power supply.
The A/D conversion: the EEG signal frequency is in 100Hz, so native system adopts the sample rate of 200Hz.
5. serial communication: the fairly simple practicality of RS-232 serial communication, reduce development cost.
6.6.CC2500 wireless reception/sending module: CC2500 is a low cost radio frequency system level chip, and volume is little, power consumption is few, peripheral cell is few.The CC2500 module links to each other with the MSP430 single-chip microcomputer through the SPI interface of standard, and SI, SO are the data input/output port of CC2500, and SCLK is as the synchronised clock of transfer of data, and CSn is a chip selection signal, the low level chip operation; Also have 2 general delivery outlet GDO0 and GDO2 to assist CC2500 to realize radio communication function.
The software design of eeg signal acquisition system:
Native system software comprises: A/D converse routine, wireless transmit program, wireless receiving program and PC end serial communication program.This problem eeg signal acquisition system adopts the C language as programming language, develops software to use the embedded workbench of IDE IAR Embedded Workbench and the debugger C-SPY of IAR company.
The single-chip microcomputer of collection terminal is accomplished two tasks: control A/D conversion, gather eeg data; Eeg data is sent through wireless module.Program comprises the two large divisions: the interrupt service routine of mastery routine, intervalometer Timer_A.After mastery routine is accomplished system initialization, get into the LMP3 low-power consumption mode, wait for that radio-frequency module GDO0 produces interruption; After central pregnancy ceased is given birth to, the beginning image data, and deposit relief area in; When relief area is full, when promptly 16 passages have all been adopted, the data of 16 passages are sent through radio-frequency module together.The every 5ms of intervalometer Timer_A interrupts once, in interrupt service routine, closes the A/D translation function earlier, reads preceding 8 channel sample values, deposits relief area in; Module switch is set then switches to back 8 tunnel analog channels, and open the A/D translation function, behind the wait EOC; Read sampled value and deposit relief area in, the sampling complement mark is set simultaneously, analog switch is set switches back preceding 8 tunnel analog channels; And open the A/D conversion command, withdraw from interruption at last.
The single-chip microcomputer of receiving terminal also has two tasks: receive eeg data through wireless module; Eeg data is uploaded to host computer through serial ports.The program of receiving terminal also comprises two parts: mastery routine and serial ports interrupt service subroutine.After mastery routine is accomplished system initialization, get into the host computer order that the LMP3 low-power consumption mode is waited for serial ports, after the serial ports interruption generating, get into the serial ports interrupt service subroutine,, the acquisition sign is set, withdraw from interruption according to the host computer order.Get back in the mastery routine, open radio-frequency module the acquisition sign is sent, radio-frequency module is set to receiving mode then, waits for the interruption of radio-frequency module GDO0 mouth.When the GDO0 interruption generating, read image data through the SPI mouth, and data are uploaded to host computer through serial ports.
The serial communication programming: the serial ports program is responsible for setting up getting in touch of host computer computer and receiving terminal single-chip microcomputer, will pass on the computer and from the host computer serial ports through serial ports from the data that single-chip microcomputer UART mouth obtains and obtain order.
The application program of host computer computer: exploitation under the VC6.0 environment, the main eeg data of accomplishing gathering show, also can be for being later on that data analysis is handled and prepared.
In addition, the function that adds anti-collision algorithm and many tag recognition in the wireless transmission software section: this is that eeg signal acquisition equipment was not referred in the past.Adopt the processing mode of similar tag read-write equipment to come correct identification when working simultaneously for many covers eeg signal acquisition equipment; Prevent to occur in the data transmission procedure colliding and disturbing (wherein the brain wave acquisition medicated cap is regarded label as, regards read write line as with the wireless receiving module of compunication) creative identification and the information transmission that must the key technology of electronic tag be introduced wearable eeg signal acquisition equipment.
More than show and described ultimate principle of this utility model and the advantage of principal character and this utility model.The technical staff of the industry should understand; This utility model is not restricted to the described embodiments; The principle of describing in the foregoing description and the description that this utility model just is described; Under the prerequisite that does not break away from this utility model spirit and scope, this utility model also has various changes and modifications, and these variations and improvement all fall in this utility model scope that requires protection.This utility model requires protection domain to be defined by appending claims and equivalent thereof.
Claims (3)
1. based on the wireless eeg signal acquisition of the Wearable of RF identification system, it is characterized in that it comprises data acquisition unit, data transmission unit and data processing unit;
Said data acquisition unit comprises dried electrode, the amplification filtering module that is connected with dried electrode output, first single-chip microcomputer; The dried electrode of first Single-chip Controlling is gathered eeg signal, after the amplification filtering resume module, sends to second singlechip through wireless sending module;
Said data transmission unit comprises wireless sending module and wireless receiving module;
Said data processing unit comprises second singlechip and computer, and second singlechip is accepted eeg signal through wireless receiving module, and is transferred to computer.
2. the wireless eeg signal acquisition of the Wearable based on RF identification according to claim 1 system is characterized in that, connects through the SPI interface between said first single-chip microcomputer and wireless sending module, second singlechip and the wireless receiving module.
3. the wireless eeg signal acquisition of the Wearable based on RF identification according to claim 1 system is characterized in that said dried electrode is the dried electrode of micropin formula.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103759709A (en) * | 2014-01-20 | 2014-04-30 | 张江波 | Drift indicator based on nRF903 wireless data transmission module |
| CN103767703A (en) * | 2014-03-04 | 2014-05-07 | 上海海事大学 | Portable wireless electroencephalogram data real-time acquisition system and running method thereof |
| CN103976740A (en) * | 2014-05-23 | 2014-08-13 | 清华大学 | Network environment-oriented electroencephalogram identification system and network environment-oriented electroencephalogram identification method |
| CN104013400A (en) * | 2014-05-30 | 2014-09-03 | 西安交通大学 | High-precision low-power-consumption multi-channel brain deep electroneurographic signal wireless collecting system |
| CN105395193A (en) * | 2015-12-08 | 2016-03-16 | 天津大学 | Miniature wearable electroencephalogram acquisition device |
| CN105769183A (en) * | 2016-03-18 | 2016-07-20 | 杭州妞诺科技有限公司 | EEG (electroencephalogram) human body analyzer and EEG signal detection method |
| CN106037649A (en) * | 2016-05-26 | 2016-10-26 | 江苏南大五维电子科技有限公司 | Wearable acquisition device |
-
2012
- 2012-05-23 CN CN 201220236238 patent/CN202589519U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103759709A (en) * | 2014-01-20 | 2014-04-30 | 张江波 | Drift indicator based on nRF903 wireless data transmission module |
| CN103767703A (en) * | 2014-03-04 | 2014-05-07 | 上海海事大学 | Portable wireless electroencephalogram data real-time acquisition system and running method thereof |
| CN103976740A (en) * | 2014-05-23 | 2014-08-13 | 清华大学 | Network environment-oriented electroencephalogram identification system and network environment-oriented electroencephalogram identification method |
| CN103976740B (en) * | 2014-05-23 | 2016-03-30 | 清华大学 | A kind of EEG signals identification system of network-oriented environment and recognition methods |
| CN104013400A (en) * | 2014-05-30 | 2014-09-03 | 西安交通大学 | High-precision low-power-consumption multi-channel brain deep electroneurographic signal wireless collecting system |
| CN105395193A (en) * | 2015-12-08 | 2016-03-16 | 天津大学 | Miniature wearable electroencephalogram acquisition device |
| CN105769183A (en) * | 2016-03-18 | 2016-07-20 | 杭州妞诺科技有限公司 | EEG (electroencephalogram) human body analyzer and EEG signal detection method |
| CN106037649A (en) * | 2016-05-26 | 2016-10-26 | 江苏南大五维电子科技有限公司 | Wearable acquisition device |
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| C14 | Grant of patent or utility model | ||
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| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20121212 Termination date: 20130523 |