patents.google.com

CN113349798A - Front-end circuit based on brain-computer interface BCI - Google Patents

  • ️Tue Sep 07 2021

CN113349798A - Front-end circuit based on brain-computer interface BCI - Google Patents

Front-end circuit based on brain-computer interface BCI Download PDF

Info

Publication number
CN113349798A
CN113349798A CN202110764751.0A CN202110764751A CN113349798A CN 113349798 A CN113349798 A CN 113349798A CN 202110764751 A CN202110764751 A CN 202110764751A CN 113349798 A CN113349798 A CN 113349798A Authority
CN
China
Prior art keywords
electrode
gain buffer
brain
unity gain
computer interface
Prior art date
2021-07-06
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
Application number
CN202110764751.0A
Other languages
Chinese (zh)
Inventor
白帆
卢树强
王晓岸
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.)
Beijing Brain Up Technology Co ltd
Original Assignee
Beijing Brain Up Technology Co ltd
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.)
2021-07-06
Filing date
2021-07-06
Publication date
2021-09-07
2021-07-06 Application filed by Beijing Brain Up Technology Co ltd filed Critical Beijing Brain Up Technology Co ltd
2021-07-06 Priority to CN202110764751.0A priority Critical patent/CN113349798A/en
2021-09-07 Publication of CN113349798A publication Critical patent/CN113349798A/en
Status Pending legal-status Critical Current

Links

  • 239000000523 sample Substances 0.000 claims description 8
  • 239000002184 metal Substances 0.000 claims description 4
  • 238000007747 plating Methods 0.000 claims description 2
  • 210000004556 brain Anatomy 0.000 description 2
  • 239000011248 coating agent Substances 0.000 description 2
  • 238000000576 coating method Methods 0.000 description 2
  • 238000000034 method Methods 0.000 description 2
  • 239000000243 solution Substances 0.000 description 2
  • 230000005540 biological transmission Effects 0.000 description 1
  • 238000006243 chemical reaction Methods 0.000 description 1
  • 238000010586 diagram Methods 0.000 description 1
  • 238000001914 filtration Methods 0.000 description 1
  • 238000001746 injection moulding Methods 0.000 description 1

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25Bioelectric electrodes therefor
    • A61B5/279Bioelectric electrodes therefor specially adapted for particular uses
    • A61B5/291Bioelectric electrodes therefor specially adapted for particular uses for electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/30Input circuits therefor
    • A61B5/307Input circuits therefor specially adapted for particular uses
    • A61B5/31Input circuits therefor specially adapted for particular uses for electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • A61B5/386Accessories or supplementary instruments therefor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Psychology (AREA)
  • Power Engineering (AREA)
  • Artificial Intelligence (AREA)
  • Physiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

本申请公开了一种基于脑机接口BCI的前端电路,该前端电路包括电极回路和模拟电路,其中,电极回路包括电极和单位增益缓冲器,单位增益缓冲器的正输入端口连接电极,单位增益缓冲器的负输入端口连接单位增益缓冲器的输出端口;模拟电路的输入端口连接单位增益缓冲器的输出端口。本申请通过单位增益缓冲器的加入,可以使得检测到的脑电波形不随电极处接触阻抗的大小变化而变化,避免了信号在电极处的消耗。

Figure 202110764751

The present application discloses a front-end circuit based on a brain-computer interface (BCI), the front-end circuit includes an electrode circuit and an analog circuit, wherein the electrode circuit includes electrodes and a unity gain buffer, the positive input port of the unity gain buffer is connected to the electrode, and the unity gain The negative input port of the buffer is connected to the output port of the unity gain buffer; the input port of the analog circuit is connected to the output port of the unity gain buffer. In the present application, by adding a unity gain buffer, the detected EEG waveform can not change with the change of the contact impedance at the electrode, and the consumption of the signal at the electrode can be avoided.

Figure 202110764751

Description

Front-end circuit based on brain-computer interface BCI

Technical Field

The application relates to the technical field of acquisition equipment of bioelectricity signals, in particular to a front-end circuit based on a brain-computer interface (BCI).

Background

In recent years, bioelectricity collecting devices, particularly electroencephalogram (EEG) collecting devices, have been rapidly developed. The front end circuit of an EEG acquisition device generally comprises an acquisition part and an analog circuit. The electrode that the collection includes has impedance grow at the electrode under the bad condition of electrode wearing, and the partial pressure becomes high, can't guarantee that input voltage can the lossless transmission to back-end circuit, even when contact impedance is very big, can lead to the unable problem that drives following circuit of input current.

Disclosure of Invention

In order to solve at least one of the above technical problems, the present application provides a front-end circuit based on a brain-computer interface BCI.

The application provides a front end circuit based on brain-computer interface BCI, this circuit includes:

the electrode loop comprises an electrode and a unit gain buffer, wherein a positive input port of the unit gain buffer is connected with the electrode, and a negative input port of the unit gain buffer is connected with an output port of the unit gain buffer;

and the input port of the analog circuit is connected with the output port of the unit gain buffer.

Further, the analog circuit comprises a filter, an amplifier and an analog-to-digital converter which are connected in sequence, wherein the filter is connected with the output port of the unity gain buffer.

Further, the number of electrode loops is greater than 1.

Further, the model of the unity gain buffer is AD 8244.

Further, the electrode includes a flexible conductive base, and a number of probes mounted on the conductive base.

Furthermore, the end part of the probe is outwards provided with a bulge, and the surface of the bulge is coated with a metal coating

By adding the unit gain buffer, the input brain waveform does not change along with the change of the contact impedance of the electrode, the consumption of signals at the electrode is avoided, and the problem of signal acquisition failure caused by poor wearing of related EEG signal EEG acquisition equipment is solved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

Fig. 1 is a schematic structural diagram of a front-end circuit based on a brain-computer interface BCI according to an embodiment of the present disclosure.

Detailed Description

Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.

In the description of the present application, it is to be understood that the positional descriptions, such as the directions of up, down, front, rear, left, right, etc., referred to herein are based on the directions or positional relationships shown in the drawings, and are only for convenience of description and simplification of description, and do not indicate or imply that the referred device or element must have a specific direction, be constructed and operated in a specific direction, and thus, should not be construed as limiting the present application.

In the description of the present application, the meaning of a plurality is one or more, the meaning of a plurality is two or more, and larger, smaller, larger, etc. are understood as excluding the present number, and larger, smaller, inner, etc. are understood as including the present number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.

In the description of the present application, unless otherwise expressly limited, terms such as set, mounted, connected and the like should be construed broadly, and those skilled in the art can reasonably determine the specific meaning of the terms in the present application by combining the detailed contents of the technical solutions.

The application provides a front-end circuit based on brain-computer interface (BCI). As shown in fig. 1, the front-

end circuit

100 based on the brain-computer interface BCI includes: electrode circuits and analog circuits.

The electrode circuit includes an

electrode

11 and a unity gain buffer 12, a

positive input port

121 of the unity gain buffer 12 is connected to the

electrode

11, and a

negative input port

122 of the unity gain buffer 12 is connected to an

output port

123 of the unity gain buffer 12. Specifically, the electrodes may be provided in a circular, elliptical, rectangular, or the like shape to fit housings of different shapes. The input port of the analog circuit 20 is connected to the

output port

123 of the unity gain buffer 12.

Specifically, the gain of the unity gain buffer is set to positive 1, so that the output voltage and the input voltage of the unity gain buffer are equal in magnitude and phase; meanwhile, the unit gain buffer almost does not need any input current, so that the front-end circuit based on the brain-computer interface BCI provided by the embodiment of the application can drive any load under the condition of not losing a voltage signal by the unit gain buffer, and the signal is transmitted to a subsequent analog circuit. When the unit gain buffer is applied, the input resistance of the unit gain buffer is infinite, and the infinite resistance and the contact impedance perform voltage division, so that voltage division at the electrode is extremely small, and even if the contact impedance changes in real time, even if the voltage division at the electrode is extremely small, the whole circuit is not influenced. Therefore, the unit gain buffer is added, so that the input brain waveform does not change along with the change of the contact impedance at the electrode, and the consumption of signals at the electrode is avoided.

In some embodiments, the analog circuit is provided as a filter, an amplifier and an analog-to-digital converter connected in series, wherein the filter is connected to the output port of the unity gain buffer. When the method is applied, the signals passing through the unit gain buffer are filtered, amplified and subjected to analog-to-digital conversion through an analog circuit. Specifically, a filtering range of 0.5 to 35Hz may be set in the filter in advance, so that signals higher than 35Hz and lower than 0.5Hz are filtered by the filter.

In the embodiment of the present application, the number of electrode loops is set to 2, that is, the front-end circuit based on the brain-computer interface BCI provided by the embodiment of the present application includes two electrodes. Thus, one of the electrodes can be used as a test electrode and the other electrode can be used as a reference electrode in application. When the method is applied, the number of the electrode loops can be set according to business requirements, for example, one or more than two electrode loops are set.

In some embodiments, a unity gain buffer model AD8244 may be employed.

In some embodiments, the electrode includes a flexible conductive base, and a number of probes mounted on the conductive base. In use, the electrodes may be mounted to a carrier (e.g., a chassis) via a conductive base. Specifically, the probe can be formed by injection molding with the flexible conductive base in an integrated manner, and can also be detachably connected with the flexible conductive base. More specifically, the probe end is formed with a projection outward, and the surface of the projection is coated with a metal plating layer. Through the arrangement of the metal coating, the probe can be in better contact with the skin.

While the present invention has been described with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (6)

1.一种基于脑机接口BCI的前端电路,其特征在于,包括:1. a front-end circuit based on brain-computer interface BCI, is characterized in that, comprises: 电极回路,包括电极和单位增益缓冲器,所述单位增益缓冲器的正输入端口连接所述电极,所述单位增益缓冲器的负输入端口连接所述单位增益缓冲器的输出端口;an electrode loop, including an electrode and a unity gain buffer, the positive input port of the unity gain buffer is connected to the electrode, and the negative input port of the unity gain buffer is connected to the output port of the unity gain buffer; 模拟电路,所述模拟电路的输入端口连接所述单位增益缓冲器的输出端口。An analog circuit, the input port of the analog circuit is connected to the output port of the unity gain buffer. 2.根据权利要求1所述的基于脑机接口BCI的前端电路,其特征在于,所述模拟电路包括依次连接的滤波器、放大器和模数转换器,其中,所述滤波器连接所述单位增益缓冲器的输出端口。2. The front-end circuit based on brain-computer interface (BCI) according to claim 1, wherein the analog circuit comprises a filter, an amplifier and an analog-to-digital converter connected in sequence, wherein the filter is connected to the unit Output port of the gain buffer. 3.根据权利要求1所述的基于脑机接口BCI的前端电路,其特征在于,所述电极回路的数量大于1。3 . The front-end circuit based on a brain-computer interface (BCI) according to claim 1 , wherein the number of the electrode circuits is greater than one. 4 . 4.根据权利要求1所述的基于脑机接口BCI的前端电路,其特征在于,所述单位增益缓冲器的型号为AD8244。4. The front-end circuit based on a brain-computer interface (BCI) according to claim 1, wherein the model of the unity gain buffer is AD8244. 5.根据权利要求1所述的基于脑机接口BCI的前端电路,其特征在于,所述电极包括柔性导电基座,以及安装在所述导电基座上的若干探针。5 . The front-end circuit based on a brain-computer interface (BCI) according to claim 1 , wherein the electrodes comprise a flexible conductive base and a plurality of probes mounted on the conductive base. 6 . 6.根据权利要求5所述的基于脑机接口BCI的前端电路,其特征在于,所述探针端部向外形成有凸起,所述凸起表面涂覆有金属镀层。6 . The front-end circuit based on a brain-computer interface (BCI) according to claim 5 , wherein a protrusion is formed on the end of the probe, and the surface of the protrusion is coated with a metal plating layer. 7 .

CN202110764751.0A 2021-07-06 2021-07-06 Front-end circuit based on brain-computer interface BCI Pending CN113349798A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110764751.0A CN113349798A (en) 2021-07-06 2021-07-06 Front-end circuit based on brain-computer interface BCI

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110764751.0A CN113349798A (en) 2021-07-06 2021-07-06 Front-end circuit based on brain-computer interface BCI

Publications (1)

Publication Number Publication Date
CN113349798A true CN113349798A (en) 2021-09-07

Family

ID=77538466

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110764751.0A Pending CN113349798A (en) 2021-07-06 2021-07-06 Front-end circuit based on brain-computer interface BCI

Country Status (1)

Country Link
CN (1) CN113349798A (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101049236A (en) * 2007-05-09 2007-10-10 西安电子科技大学 Instant detection system and detection method for state of attention based on interaction between brain and computer
CN101207385A (en) * 2006-12-22 2008-06-25 美格纳半导体有限会社 Digital-to-analog converter and digital-to-analog conversion method thereof
CN104644165A (en) * 2015-02-11 2015-05-27 电子科技大学 Wearable electroencephalogram acquisition device
CN105260025A (en) * 2015-10-15 2016-01-20 中国兵器科学研究院 Mobile terminal based steady-state visual evoked potential brain computer interface system
CN107045068A (en) * 2017-04-14 2017-08-15 刘锦 Portable physiological Indexs measure instrument and its detection method based on micro-fluidic paper chip
CN107157478A (en) * 2017-06-01 2017-09-15 电子科技大学 A kind of multichannel Cortical ECoG acquisition system based on capacitive electrode
CN111035384A (en) * 2019-12-23 2020-04-21 西安航天民芯科技有限公司 A circuit structure applied to EEG signal acquisition and stimulation
CN213125985U (en) * 2020-07-08 2021-05-04 南京明尼晶磁电子科技有限公司 Neural signal amplifier and brain-computer interface system based on MTJ device
CN215739016U (en) * 2021-07-06 2022-02-08 北京脑陆科技有限公司 Front-end circuit based on brain-computer interface BCI

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101207385A (en) * 2006-12-22 2008-06-25 美格纳半导体有限会社 Digital-to-analog converter and digital-to-analog conversion method thereof
CN101049236A (en) * 2007-05-09 2007-10-10 西安电子科技大学 Instant detection system and detection method for state of attention based on interaction between brain and computer
CN104644165A (en) * 2015-02-11 2015-05-27 电子科技大学 Wearable electroencephalogram acquisition device
CN105260025A (en) * 2015-10-15 2016-01-20 中国兵器科学研究院 Mobile terminal based steady-state visual evoked potential brain computer interface system
CN107045068A (en) * 2017-04-14 2017-08-15 刘锦 Portable physiological Indexs measure instrument and its detection method based on micro-fluidic paper chip
CN107157478A (en) * 2017-06-01 2017-09-15 电子科技大学 A kind of multichannel Cortical ECoG acquisition system based on capacitive electrode
CN111035384A (en) * 2019-12-23 2020-04-21 西安航天民芯科技有限公司 A circuit structure applied to EEG signal acquisition and stimulation
CN213125985U (en) * 2020-07-08 2021-05-04 南京明尼晶磁电子科技有限公司 Neural signal amplifier and brain-computer interface system based on MTJ device
CN215739016U (en) * 2021-07-06 2022-02-08 北京脑陆科技有限公司 Front-end circuit based on brain-computer interface BCI

Similar Documents

Publication Publication Date Title
CN101791218B (en) 2011-11-23 Active two-electrode surface electromyography sensor
Yang et al. 2012 Bio-patch design and implementation based on a low-power system-on-chip and paper-based inkjet printing technology
KR20110135296A (en) 2011-12-16 Apparatus and method for measuring bio signals
CN215739016U (en) 2022-02-08 Front-end circuit based on brain-computer interface BCI
CN106725459A (en) 2017-05-31 Eeg signal acquisition system
KR20140101937A (en) 2014-08-21 Electrode for living body, apparatus and method for processing biological signal
CN102694509A (en) 2012-09-26 An integrated electro-physiological signal amplifier with an AC excitation function
CN110840454A (en) 2020-02-28 Electroencephalogram signal acquisition device and method
CN110393526A (en) 2019-11-01 A high-frequency weak EEG signal amplification and acquisition system
CN101449970A (en) 2009-06-10 Bioelectric amplifier
JP2009160091A (en) 2009-07-23 Bioelectric signal measuring apparatus
CN113349798A (en) 2021-09-07 Front-end circuit based on brain-computer interface BCI
CN217285817U (en) 2022-08-26 Differential output instrument amplifier
CN209074605U (en) 2019-07-09 A kind of exchange lead-fail detector detection circuit for bipolar electrode ECG Gathering System
CN216021085U (en) 2022-03-15 Analog front end AFE circuit and device for EEG signal acquisition
CN117224152A (en) 2023-12-15 Flexible array type electromyographic signal acquisition system for detecting muscle fatigue
CN215017600U (en) 2021-12-07 Instrument amplifier for bioelectric signals
CN211126273U (en) 2020-07-28 Magnetic-type connector for transmitting bioelectric signals
CN113876336A (en) 2022-01-04 Dynamic switching device and dynamic switching method of reference electrode for electromyography acquisition
CN106951065B (en) 2020-05-12 40-lead brain-computer interface information acquisition system
CN112472094B (en) 2024-08-13 High-voltage-resistant instrument amplifier for bioelectric signals
CN206675524U (en) 2017-11-28 Eeg signal acquisition system
CN219270940U (en) 2023-06-30 Integrated active dry electrode and electroencephalogram acquisition device
CN116584953B (en) 2024-10-18 Improved electroencephalogram signal acquisition system and device
CN112472095B (en) 2025-03-18 An instrument amplifier for bioelectric signals

Legal Events

Date Code Title Description
2021-09-07 PB01 Publication
2021-09-07 PB01 Publication
2021-09-24 SE01 Entry into force of request for substantive examination
2021-09-24 SE01 Entry into force of request for substantive examination