WO2017012217A1 - 基于ssvep脑电电位的无线bci输入系统 - Google Patents

基于ssvep脑电电位的无线bci输入系统 Download PDF

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WO2017012217A1
WO2017012217A1 PCT/CN2015/092915 CN2015092915W WO2017012217A1 WO 2017012217 A1 WO2017012217 A1 WO 2017012217A1 CN 2015092915 W CN2015092915 W CN 2015092915W WO 2017012217 A1 WO2017012217 A1 WO 2017012217A1
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ssvep
key value
eeg
electrode
brain
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French (fr)
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杨春兰
聂英男
李琬
吴水才
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Beijing University of Technology
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Beijing University of Technology
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06—COMPUTING OR CALCULATING; 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
    • G06F3/013—Eye tracking input arrangements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
    • G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
    • G06F3/0233—Character input methods
    • G06F3/0236—Character input methods using selection techniques to select from displayed items
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G06F3/04842—Selection of displayed objects or displayed text elements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
    • G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
    • G06F3/04886—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Definitions

  • the invention relates to a BCI (Brain Computer Interface) system for realizing control of a mobile intelligent device by using human scalp brain electricity, and belongs to the technical field of human-computer interaction.
  • BCI Brain Computer Interface
  • BCI is a transmission channel for information between the human brain and computers or other electronic devices. This technique does not rely on the conventional spinal nerve system of the spinal cord, providing a way for the human brain to exchange information directly with the external environment.
  • BCI technology is a multidisciplinary and comprehensive research direction, involving biology, information, life sciences, computers, medicine and many other disciplines. It is one of the current research hotspots in the world.
  • Non-implantable scalp EEG Electroencephalograph (EEG) is a common form of BCI research because it is non-invasive, safe and easy to use. It is also the first choice for BCI practical research.
  • the BCI team at Graz University of Technology in Austria has been at the forefront of research: they have developed applications such as English input and computer games based on the self-designed BCI system called Graz, and combined with functional electrical stimulation to help patients recover.
  • the arm function, so the team is a pioneer in the practical use of BCI technology.
  • the Wadworth Center in the United States has also been at the forefront of BCI research.
  • the BCI system they studied allows users to achieve 2-dimensional movement of the mouse through autonomous control of the ⁇ rhythm.
  • highly savvy patients can complete their daily operations such as spelling, sending and receiving emails, and simple voice communication.
  • SSVEP Steady-State Visual Evoked Potentials
  • the physiological basis is that the human eye looks at the periodic scintillation of a certain frequency and will be in the cerebral cortex visual zone.
  • a continuous response to the stimulation frequency (the fundamental frequency of the stimulation frequency or its multiplication) is induced.
  • Detection of scalp EEG in the occipital region of the brain using non-invasive electrodes This response.
  • This type of brain-computer interface system has the advantages of non-invasiveness, high accuracy, and no training.
  • BCI system is mostly based on multi-lead EEG acquisition equipment and the upper computer for analyzing EEG signals.
  • the cost is expensive, the carrying is difficult, the electrode cap is cumbersome to wear, and it is not convenient for daily application.
  • the invention can be applied to the field of medical rehabilitation to assist the disabled person's action; it can also be applied in daily life and production, and provides a new control means for some work that is not convenient for manual operation.
  • the technical solution adopted by the present invention is a wireless BCI input system based on SSVEP brain electric potential, and the system is paired with a mobile intelligent device through Bluetooth, and the user only needs to look at the button to realize wireless control of the mobile intelligent device. .
  • a wireless BCI input system based on SSVEP brain electric potential includes an SSVEP keyboard and an electric brain headband; wherein the SSVEP keyboard is used to present input characters and induce a specific brain potential of the user; the brain electric headband is used to collect the scalp EEG, extract SSVEP potential, analyze and process EEG signals, identify the user's desired key value, and send the key value to the mobile smart device via Bluetooth.
  • the SSVEP keyboard includes a scintillation light generator, a casing, and a mask; wherein the scintillation light generator is used to generate a specific frequency light stimulus; the outer casing is used to isolate the light source; and the mask is used to mark the key value;
  • the flashing light generator uses a NE555 chip with a fixed-value capacitor resistor to generate a square wave of a specific frequency, driving the LED to emit light, using opaque plastic isolation between different LED light sources, and a semi-transparent mask marked with a key value covering the flashing light generator. Above the LED light source, the mask and the keyboard integrally form a drawer structure for easy replacement.
  • the brain electric headband includes an electroencephalogram acquisition module, an electroencephalogram analysis module, a communication module and a headband;
  • the brain electrical acquisition module is configured to collect the scalp brain electrical signal of the user and amplify, filter and convert the same;
  • the electroencephalogram analysis The module is configured to extract the SSVEP potential from the EEG signal and perform classification and recognition;
  • the communication module is configured to send the key value recognized by the EEG analysis module to the computer or the handheld smart device.
  • the EEG acquisition module, the EEG analysis module, and the communication module are all fixed on the headband.
  • the EEG signal acquisition module includes: an electrode, an amplification filter circuit, and an AD conversion circuit.
  • Electrode including pillow Leaf electrode, frontal electrode and ear clip electrode; amplification filter circuit includes two-stage differential amplifier and band-pass filter (passband frequency is 5-40Hz); AD conversion module sampling rate is 512Hz.
  • the occipital electrode and the frontal electrode are respectively connected to the two input ends of the differential amplifier, and the ear clip electrode is grounded.
  • the EEG analysis module consists of a single-chip computer and an analysis algorithm.
  • the analysis algorithm is solidified in the single-chip microcomputer to process and analyze the EEG signals, including data segmentation, DC component removal, baseline drift elimination, time-frequency conversion, feature extraction, idle detection, Pattern classification.
  • the communication module includes a Bluetooth module and an antenna, and transmits the key value recognized by the EEG analysis module to the paired mobile smart device through a Bluetooth communication protocol.
  • 1 is a schematic view of the present invention, wherein 1 is an SSVEP keyboard, 2 is an EEG headband, 3 is a user, and 4 is a mobile smart device;
  • FIG. 2 is a schematic structural view of an SSVEP keyboard according to the present invention, wherein 11 is a casing, 12 is a mask, 13 is an LED light source, and 111 is a button;
  • FIG. 3 is a schematic structural view of a headgear of the present invention, wherein 21 is a frontal electrode, 22 is a occipital electrode, 23 is a headband, 24 is a plastic outer casing, and 25 is an ear clip electrode;
  • FIG. 4 is a schematic view showing the connection of each module of the brain electric headband of the present invention.
  • FIG. 5 is a flow chart of an analysis algorithm of an electroencephalogram signal analysis module of the present invention.
  • Figure 6 is a diagram of a key sequence number of the present invention.
  • the headband 2 is worn on the head of the user 3, the SSVEP keyboard 1 is placed in front of the user 3, and the headband 2 is connected to the mobile smart device 4 via Bluetooth.
  • the user 3 looks at the button on the SSVEP keyboard 1 to input the corresponding key value to the mobile smart device 4.
  • the LED light source 13 at the bottom of the SSVEP keyboard 1 flashes according to a preset frequency.
  • the mask 12 is a translucent material, and a part of the light is filtered to avoid glare caused by eye fatigue of the user.
  • the key window at the top of the outer casing 11 is a transparent material, and the rest is Both are opaque materials.
  • the frontal electrode 21 and the occipital electrode 22 are fixed inside the headgear 2, and the EEG acquisition module, the EEG analysis module, and the communication module are all packaged in the plastic case 24.
  • the headband 23 is adjusted so that the frontal blade electrode 21 is in close contact with the skin of the frontal lobe of the user 3, so that the occipital leaf electrode is in close contact with the skin of the occipital lobe of the user 3, and the ear clip electrode 25 is clamped to the left ear lobe of the user 3. .
  • the EEG signal collected by the electrode is amplified by an amplifying circuit and sent to a band pass filter for filtering, and the filtered signal is AD-converted by an AD conversion circuit; the obtained digital signal is analyzed by an EEG analysis module.
  • the MCU calls the analysis algorithm and obtains the return key value; the key value is sent by the communication module to the mobile smart device.
  • the above analysis algorithm is shown in FIG. 5, including data segmentation, DC component removal, baseline drift elimination, time-frequency conversion, feature extraction, idle detection, and mode classification.
  • the EEG signal is segmented according to the time point, and each 512 sampling points (1 second time) is a segment, and each segment of the signal is judged once. The result of the determination is converted into a corresponding key value.
  • the EEG headband can be placed in a custom mode through a hardware switch. In this mode, the EEG headband can receive commands from the paired Bluetooth device and modify the key-value mapping.
  • the specific implementation is as follows:
  • the Bluetooth module After the system is placed in the custom mode, the Bluetooth module waits for a connection, and then uses a smartphone or tablet to pair with the system. In this mode, the settings can be completed by sending commands to the system via the Bluetooth serial protocol.
  • the format of the serial port instruction is: "set## ⁇ key sequence number># ⁇ custom key value>#".
  • the key sequence number refers to FIG. 6, and the custom key value may be a character string or an AT (Attention) command. For example, if the key value of the No. 2 button is defined as "Beijing", "set##2#Beijing#" must be sent.
  • the mask with the key value in the middle of the keyboard is extracted and the key value is re-marked, that is, the key value customization of the key is completed.

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  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Dermatology (AREA)
  • Biomedical Technology (AREA)
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  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
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Abstract

一种基于SSVEP脑电电位的无线BCI输入系统，包括SSVEP键盘和脑电头带。本发明所述的SSVEP键盘用于诱发使用者SSVEP脑电电位，包含按照特定频率闪烁的按键，标示键值的蒙板可以更换；所述的脑电头带包含脑电采集模块、脑电信号分析模块、蓝牙通信模块，分别用于采集使用者脑电信号、识别SSVEP电位从而判别使用者的输入意图、将键值通过蓝牙发送给与之配对的移动智能设备。所述的脑电头带为便携的穿戴式设备，配合SSVEP键盘可以实现对移动智能设备的无线控制。提供了一种人脑与移动智能设备之间可直接交互的途径，能够辅助虽丧失行动能力但思维健全的病人行动，也为健全人提供了一种解放双手的便捷控制工具。

Description

基于SSVEP脑电电位的无线BCI输入系统 技术领域
本发明涉及一种利用人类头皮脑电实现对移动智能设备进行控制的BCI(Brain Computer Interface，脑机接口)系统，属于人机交互技术领域。
背景技术
BCI是一种人脑与计算机或其他电子设备之间的信息传输通道。该技术不依赖于常规的脊髓外周神经肌肉系统，为人脑提供了一种直接与外部环境交换信息的途径。BCI技术是一个多学科交叉、综合的研究方向，涉及生物、信息、生命科学、计算机、医学等多个学科分支，是当前国际上的研究热点之一。
目前常用的BCI系统可以分为植入式采集(有创)和非植入式采集(无创)两大类。非植入式的头皮脑电(Electroencephalograph，EEG)由于其具有无创、安全、易用的特点，是目前BCI研究中常用的一种形式，也是BCI实用化研究的首选。
奥地利Graz科技大学的BCI小组在相关研究中一直处于领先的地位：他们基于自主设计的名为Graz的BCI系统进行了英文输入、计算机游戏等应用开发，还结合功能性电刺激来帮助瘫痪病人恢复手臂功能，因此该小组是BCI技术实用化的先驱。美国的Wadworth Center在BCI研究中也一直处于领先地位，他们研究的BCI系统可以让用户通过对μ节律的自主控制实现鼠标的2维移动。目前，基于他们的BCI系统，高度瘫痪的病人可以自行完成英文拼写、收发电子邮件、简单语音交流等日常操作。
SSVEP(Steady-State Visual Evoked Potentials，稳态视觉诱发电位)是目前BCI系统中稳定性较高的一种，其生理基础是人眼注视某特定频率的周期性闪烁时，会在大脑皮层视觉区诱发一个连续的与刺激频率相关(刺激频率的基频或其倍频)的响应。利用非侵入性的电极即可在大脑枕叶区的头皮脑电中检测到 此响应。该类型的脑机接口系统具有非侵入性、准确率高、不需训练等优点。
目前BCI系统的设计大多基于多导联脑电采集设备和分析脑电信号的上位机，造价昂贵、携带困难、电极帽佩戴繁琐、不便于日常应用。
发明内容
本发明的目的在于提供一种便于佩戴使用的便携式的脑电输入设备，并且可利用蓝牙技术实现对移动智能终端的控制。本发明可以应用于医疗康复领域，辅助残疾人行动；也可应用于日常生活和生产中，为某些不便于手动操作的工作提供一种新的控制手段。
为实现上述目的，本发明采用的技术方案为基于SSVEP脑电电位的无线BCI输入系统，该系统通过蓝牙与移动智能设备配对连接，使用者仅需要注视按键即可实现对移动智能设备的无线控制。
一种基于SSVEP脑电电位的无线BCI输入系统，该系统包括SSVEP键盘、脑电头箍；其中，SSVEP键盘用于呈现输入字符并诱发使用者特定脑电电位；脑电头箍用于采集头皮脑电、提取SSVEP电位、分析处理脑电信号、识别使用者期望的键值、将键值通过蓝牙发送给移动智能设备。
所述SSVEP键盘包括闪烁光发生器、外壳、蒙板；其中，闪烁光发生器用于产生特定频率光刺激；外壳用于隔离光源；蒙板用于标示键值；
闪烁光发生器通过NE555芯片配合定值电容电阻，产生特定频率的方波，驱动LED发光，不同LED光源之间使用不透明塑料隔离，标有键值的半透明蒙板覆盖于闪烁光发生器的LED光源之上，该蒙板与键盘整体形成抽屉式结构，便于更换。
所述脑电头箍包括脑电采集模块、脑电分析模块、通信模块及头带；脑电采集模块用于采集使用者头皮脑电信号并将其进行放大、滤波和AD转换；脑电分析模块用于从脑电信号中提取SSVEP电位并进行分类识别；通信模块用于将脑电分析模块识别出的键值发送给计算机或手持智能设备。脑电采集模块、脑电分析模块及通信模块均固定在头带之上。
脑电信号采集模块包括：电极、放大滤波电路、AD转换电路。电极包括枕 叶电极、额叶电极和耳夹电极；放大滤波电路包括两级差分放大器和带通滤波器(通带频率为5-40Hz)；AD转换模块采样率为512Hz。上述枕叶电极与额叶电极分别接入差分放大器两输入端，耳夹电极接地。
脑电分析模块由单片机和分析算法组成，分析算法固化在单片机之中，对脑电信号进行处理分析，包括数据分段、去除直流成分、消除基线漂移、时频转换、特征提取、空闲检测、模式分类。
通信模块包括蓝牙模块和天线，通过蓝牙通讯协议将脑电分析模块识别出的键值发送给配对的移动智能设备。
附图说明
图1为本发明整体示意图，其中1为SSVEP键盘，2为脑电头带，3为使用者，4为移动智能设备；
图2为本发明SSVEP键盘的结构示意图，其中11为外壳，12为蒙版，13为LED光源，111为按键；
图3为本发明脑电头带的结构示意图，其中21为额叶电极，22为枕叶电极，23为头带，24为塑料外壳，25为耳夹电极；
图4为本发明脑电头箍各模块连接示意图；
图5为本发明脑电信号分析模块分析算法流程图；
图6为本发明按键序号图。
具体实施方式
下面结合附图对本发明作进一步的详细说明。
参见图1，使用时需将脑电头带2佩戴于使用者3的头部，将SSVEP键盘1置于使用者3前方，脑电头带2与移动智能设备4通过蓝牙连接。使用者3注视SSVEP键盘1上的按键即可将对应键值输至移动智能设备4。
参见图2，SSVEP键盘1底部的LED光源13按照预设频率闪烁，蒙板12为半透明材质，过滤一部分光线避免强光引起使用者眼疲劳，外壳11顶部的按键窗为透明材质，其余部分均为不透明材质。
参见图3，额叶电极21、枕叶电极22固定在脑电头带2内侧，脑电采集模块、脑电分析模块、通信模块均封装在塑料外壳24中。使用时调节头带23使额叶电极21紧贴使用者3的额叶处皮肤，使枕叶电极紧贴使用者3枕叶处皮肤，将耳夹电极25夹于使用者3的左耳耳垂。
参见图4，电极采集到的脑电信号经由放大电路放大后送入带通滤波器进行滤波，滤波后的信号由AD转换电路进行AD转换；得到的数字信号交由脑电分析模块进行分析，单片机调用分析算法并得到返回键值；键值由通信模块发送给移动智能设备。
上述分析算法参见图5，包括数据分段、去除直流成分、消除基线漂移、时频转换、特征提取、空闲检测、模式分类。脑电信号按照时间点进行分段，每512个采样点(1秒时间)为一段，对每一段信号进行一次判定。将判定结果转换为对应键值。
对于一些特殊的用户，可以对本发明中按键与键值的映射关系进行自定义设置。通过硬件开关可将脑电头带置于自定义模式，在此模式下脑电头带可接收配对的蓝牙设备发来的命令，并对键值映射进行修改，具体实施如下：
将系统置于自定义模式后，蓝牙模块待机等待连接，此时使用智能手机或平板电脑与系统配对连接。在此模式下，通过蓝牙串口协议向系统发送指令即可完成设置。串口指令格式为：“set##<按键序号>#<自定义键值>#”。其中，按键序号参照图6，自定义键值可以为字符串也可以为AT(Attention)指令。例如，定义2号按键的键值为“Beijing”，须发送“set##2#Beijing#”。同时，将键盘中间标有键值的蒙板抽出并重新标示键值，即完成对按键的键值自定义设置。

Claims (4)

  1. 基于SSVEP脑电电位的无线BCI输入系统，该系统通过蓝牙与移动智能设备配对连接，使用者仅需要注视按键即可实现对移动智能设备的无线控制；
    其特征在于：该系统包括SSVEP键盘、脑电头箍；其中，SSVEP键盘用于呈现输入字符并诱发使用者特定脑电电位；脑电头箍用于采集头皮脑电、提取SSVEP电位、分析处理脑电信号、识别使用者期望的键值、将键值通过蓝牙发送给移动智能设备；
    所述SSVEP键盘包括闪烁光发生器、外壳、蒙板；其中，闪烁光发生器用于产生特定频率光刺激；外壳用于隔离光源；蒙板用于标示键值；
    闪烁光发生器通过NE555芯片配合定值电容电阻，产生特定频率的方波，驱动LED发光，不同LED光源之间使用不透明塑料隔离，标有键值的半透明蒙板覆盖于闪烁光发生器的LED光源之上，该蒙板与键盘整体形成抽屉式结构，便于更换；
    所述脑电头箍包括脑电采集模块、脑电分析模块、通信模块及头带；脑电采集模块用于采集使用者头皮脑电信号并将其进行放大、滤波和AD转换；脑电分析模块用于从脑电信号中提取SSVEP电位并进行分类识别；通信模块用于将脑电分析模块识别出的键值发送给计算机或手持智能设备；脑电采集模块、脑电分析模块及通信模块均固定在头带之上；
    脑电信号采集模块包括：电极、放大滤波电路、AD转换电路；电极包括枕叶电极、额叶电极和耳夹电极；放大滤波电路包括两级差分放大器和带通滤波器；AD转换模块采样率为512Hz；上述枕叶电极与额叶电极分别接入差分放大器两输入端，耳夹电极接地；
    脑电分析模块由单片机和分析算法组成，分析算法固化在单片机之中，对脑电信号进行处理分析，包括数据分段、去除直流成分、消除基线漂移、时频转换、特征提取、空闲检测、模式分类；
    通信模块包括蓝牙模块和天线，通过蓝牙通讯协议将脑电分析模块识别出的键值发送给配对的移动智能设备。
  2. 根据权利要求1所述的一种基于SSVEP脑电电位的无线BCI输入系统，其特征在于：使用时需将脑电头带(2)佩戴于使用者(3)的头部，将SSVEP键盘(1)置于使用者(3)前方，脑电头带(2与)移动智能设备(4)通过蓝牙连接；使用者(3)注视SSVEP键盘(1)上的按键即可将对应键值输至移动智能设备4；
    SSVEP键盘(1)底部的LED光源(13)按照预设频率闪烁，蒙板(12)为半透明材质，过滤一部分光线避免强光引起使用者眼疲劳，外壳(11)顶部的按键窗为透明材质，其余部分均为不透明材质；
    额叶电极(21)、枕叶电极(22)固定在脑电头带(2)内侧，脑电采集模块、脑电分析模块、通信模块均封装在塑料外壳(24)中；使用时调节头带(23)使额叶电极(21)紧贴使用者(3)的额叶处皮肤，使枕叶电极紧贴使用者(3)枕叶处皮肤，将耳夹电极(25)夹于使用者(3)的左耳耳垂；
    电极采集到的脑电信号经由放大电路放大后送入带通滤波器进行滤波，滤波后的信号由AD转换电路进行AD转换；得到的数字信号交由脑电分析模块进行分析，单片机调用分析算法并得到返回键值；键值由通信模块发送给移动智能设备。
  3. 根据权利要求1所述的一种基于SSVEP脑电电位的无线BCI输入系统，其特征在于：分析算法包括数据分段、去除直流成分、消除基线漂移、时频转换、特征提取、空闲检测、模式分类；脑电信号按照时间点进行分段，每512个采样点(1秒时间)为一段，对每一段信号进行一次判定；将判定结果转换为对应键值。
  4. 根据权利要求1所述的一种基于SSVEP脑电电位的无线BCI输入系统，其特征在于：按键与键值的映射关系进行自定义设置；通过硬件开关可将脑电头带置于自定义模式，在此模式下脑电头带可接收配对的蓝牙设备发来的命令，并对键值映射进行修改，具体实施如下：
    将系统置于自定义模式后，蓝牙模块待机等待连接，此时使用智能手机或平 板电脑与系统配对连接；在此模式下，通过蓝牙串口协议向系统发送指令即可完成设置；串口指令格式为：“set##<按键序号>#<自定义键值>#”；其中，自定义键值为字符串也可以为AT(Attention)指令；定义2号按键的键值为“Beijing”，须发送“set##2#Beijing#”；同时，将键盘中间标有键值的蒙板抽出并重新标示键值，即完成对按键的键值自定义设置。
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