CN209789848U - Miniaturized biological nerve signal acquisition and motion control device - Google Patents
Miniaturized biological nerve signal acquisition and motion control device Download PDFInfo
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- CN209789848U CN209789848U CN201821970780.2U CN201821970780U CN209789848U CN 209789848 U CN209789848 U CN 209789848U CN 201821970780 U CN201821970780 U CN 201821970780U CN 209789848 U CN209789848 U CN 209789848U
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Abstract
The utility model discloses a miniaturized biological neural signal gathers and motion controlling means, including EEG signal acquisition unit for accomplish corresponding instruction and data interaction's core processing unit, positional information acquisition unit, wireless data transmission unit and control signal injection unit, core processing unit include memory, host processor chip and buffer, positional information acquisition unit's output connect the input of host processor chip, the output of host processor chip is connected with the input of memory, buffer, EEG signal acquisition unit, wireless data transmission unit and control signal injection unit respectively. The utility model discloses a gather the analysis to its neural signal under biological clear-headed, free state and regulate and control its motion behavior in real time, can help the neural mechanism of analytical study biological motion decision-making in-process, help people better understanding brain information processing mechanism, also provide new direction for fields such as brain science and bionical science simultaneously.
Description
Technical Field
the utility model relates to the technical field, especially, relate to a miniaturized biological signal acquisition of mental and motion control device.
Background
At present, the brain of a living being also includes many regions, and different regions can be responsible for different physiological functions, or a plurality of regions work together to regulate a certain physiological function. The realization of these physiological functions or the regulation of physiological functions requires information transmission through the nervous system. For example, the brain works efficiently by transferring information between neurons in the nervous system of the brain. The cell membrane of the neuron cell has internal and external potential differences, the resting state of the neuron can be broken through external stimulation, and the neuron can also transmit information to other neurons. Therefore, the nerve operation mechanism of the brain can be effectively analyzed through the measurement of the voltage change of the neurons. The local field potential signal is an electroencephalogram signal with large information quantity and strong anti-interference capability, and is also a main entry point for researching neural activity based on an electric signal. Aiming at the neural signal acquisition of organisms and also aiming at local field potential signals of relevant areas of cranial nerves of the organisms, an acquisition scheme and a technical realization way are researched.
The electric signal is applied to the relevant area position of the cranial nerve of the living body for stimulation, and the control of certain movement behaviors of the living body can be realized. In the research work of realizing biological movement control by externally adding electric signals, a scheme which has achieved certain results is biological deep brain electrical stimulation. The nerve brain electrical stimulation of the existing animals mostly adopts constant voltage stimulation and unidirectional pulse stimulation. However, in different biological conditions, impedance characteristics of the same region of a living body are different, and the impedance characteristics of different biological individuals are also greatly different. If the constant voltage stimulation mode is adopted, the actual current intensity in the organism is different after the same voltage is applied, so that the excitation degree of the organism tissues is different.
SUMMERY OF THE UTILITY MODEL
the utility model aims at providing a miniaturized biological neural signal gathers and motion controlling device can carry out two-way constant current pulse stimulation to the biology, and the effect is more obvious, and accuracy and reliability are higher to avoid the biological tissue excitement degree difference that biological individual difference and state difference caused, the biological data collection degree of accuracy of being more convenient for.
The utility model adopts the technical proposal that:
a miniaturized biological nerve signal acquisition and motion control device comprises an electroencephalogram signal acquisition unit for completing electroencephalogram signal acquisition and direct-current component removal, a core processing unit for completing corresponding instruction and data interaction, a position information acquisition unit for completing the functions of receiving GPS/Beidou satellite positioning data and calculating position information, a wireless data transmission unit for completing the functions of wireless transmission of data, background instruction reception, wireless communication state reporting and the like, a control signal injection unit for completing the generation of biological motion control electric signals and continuously injecting signals to the specified position of a specified biological nerve organ under the control of a main processing unit, wherein the core processing unit comprises a memory, a main processor chip and a buffer, the output end of the position information acquisition unit is connected with the input end of the main processor chip, the output end of the main processor chip is respectively connected with the input ends of the memory, the buffer, the electroencephalogram signal acquisition unit, the wireless data transmission unit and the control signal injection unit.
The electroencephalogram signal acquisition mainly comprises an Intan RHD2132 chip and a peripheral interface circuit thereof.
The position information acquisition unit consists of a Ublox satellite positioning chip and a peripheral circuit thereof.
The wireless transmission unit consists of an XBee _ Pro 900HP module, an antenna and a peripheral interface circuit.
The control signal injection unit comprises a 430-architecture single chip microcomputer chip, and the 430-architecture single chip microcomputer chip and the core processing unit are communicated by using a UART interface.
The utility model discloses research and design out a miniaturized biological neural signal collection and motion controlling device, gather the analysis to its neural signal under biological clear-headed, free state and carry out real-time regulation and control to its motion behavior, can help the neural mechanism of analytical study biological motion decision-making in-process, help the better understanding brain information processing mechanism of people, also provide new direction for fields such as brain science and bionical science simultaneously. Furthermore, the research result of the biological motor nerve decision mechanism can be used in the directions of motion navigation, path planning and the like of the bionic robot, so that technical reserve is provided for the bionic robot, and the development of the fields is promoted. In addition, certain theoretical and experimental data support can be provided for the analysis and research work of the cranial nerve related diseases.
Drawings
Fig. 1 is a schematic circuit block diagram of the present invention;
Fig. 2 is a circuit diagram of a single-channel current stimulation signal generation circuit in the core processing unit of the present invention;
Fig. 3 is a schematic diagram of the differential amplification factor measurement circuit of the present invention;
Fig. 4 is a schematic diagram of the common mode signal measuring circuit of the present invention.
Detailed Description
As shown in fig. 1, 2 and 3, the utility model discloses a brain electrical signal acquisition unit for accomplishing brain electrical signal collection and direct current component and removing, a core processing unit for accomplishing corresponding instruction and data interaction, a positional information acquisition unit for accomplishing the receipt of GPS big dipper satellite positioning data and positional information and resolving the function, a wireless transmission for accomplishing data, backstage instruction is received, and wireless data transmission unit of functions such as wireless communication state report with be used for accomplishing the formation of biological motion control signal of telecommunication, and last the control signal injection unit to appointed biological neural organ's assigned position injection signal under main processing unit control, core processing unit mainly constitute by OMAP L138E processor chip, Nand Flash chip, DDR2RAM chip and peripheral interface circuit. The output end of the position information acquisition unit is connected with the input end of the main processor chip, and the output end of the main processor chip is respectively connected with the input ends of the memory, the buffer, the electroencephalogram signal acquisition unit, the wireless data transmission unit and the control signal injection unit.
The electroencephalogram signal acquisition mainly comprises an Intan RHD2132 chip and a peripheral interface circuit thereof. The Intan RHD2132 chip is provided with 32 analog signal sampling channels, an impedance detection circuit is integrated in the chip, the design is reduced to a peripheral circuit, a high-low pass filter and a direct current removal filter are integrated in the chip, the filtering processing delay can be reduced, and the position information acquisition unit can quickly respond to the position information and is composed of an Ublox satellite positioning chip and a peripheral circuit thereof. The Ublox satellite positioning chip is adopted, has small volume and low power consumption, and has two positioning modes of Beidou/GPS to meet the positioning requirement.
The wireless transmission unit consists of an XBee _ Pro 900HP module, an antenna and a peripheral interface circuit. The module adopts Digimesh technology to realize remote wireless data receiving and transmitting in outdoor environment.
the control signal injection unit comprises a 430-architecture single chip microcomputer chip, and the 430-architecture single chip microcomputer chip and the core processing unit are communicated by using a UART interface. The utility model discloses low-power consumption 430 framework singlechip is chooseed for use to control signal injection unit, and MSP 430's DAC pin can generate corresponding range and long electric current signal after receiving core processing unit's instruction.
Inside the core processing unit, the circuit diagram of the single-path current stimulation signal generation circuit is shown in fig. 2: the transistor can be turned on by a DAC signal generated by the MSP430 chip as the switching value of the transistor at the lower right in the figure, so that the transistor is in a conducting state. The stimulating electrode is located between the input voltage and the triode's class C, and the current on this path is an amplification of the triode's class B input current.
Under the control signal, the switch circuit turns on S1 and C1, i.e. the current formed by the input voltage flows through S1 to C1, then a current flows from A to B at the stimulation electrode, and the current signal is the amplification of the DAC signal. Similarly, if the switch circuit turns on C2 and S2, i.e., the current formed by the input voltage flows through C2 to S1, a current flows from B 'to A' at the stimulation electrode, which is also an amplification of the DAC signal. In practical design, a and a 'are the same component, and B' are the same component, and this is only for describing the current direction change. This design allows a direction-controllable, magnitude-adjustable current signal to be generated between the electrodes AB.
under the scheme, the electroencephalogram signal acquisition unit can also complete the function of partial Digital Signal Processing (DSP) after completing analog signal processing through in-chip digital filtering.
the traditional scheme based on the single chip microcomputer and the DSP chip often cannot give consideration to both external IO access capability and rapid signal processing capability, and the scheme can ensure the reliability of real-time data return operation while giving consideration to the realization of the two aspects. The DDR2 cache selected by the scheme can support the maximum 256M data cache requirement, and the integrity of the returned data can be ensured under the condition that the wireless communication speed is not ideal in an outdoor environment.
The proposal is that the data is not stored locally, but is transmitted back to the back end in the acquisition process, and the transmitted data is generated every 5 minutes and has the size of 19 to 38M. Therefore, a communication means with a longer distance, a lower device volume quality, and a lower power consumption, and a higher transmission rate needs to be considered in selecting a wireless communication technology.
common short-range wireless communications, such as bluetooth, WiFi, etc., are not suitable for use due to transmission distance. Data transmission technology based on public mobile communication network, for example, GPRS has a rate of 140Kbps or more, and 3G/4G and the like have a rate of 1M or more, but is not suitable for the application requirements of the scheme in terms of communication infrastructure requirements. After the speed and the transmission reliability of short-distance wireless communication technologies such as ZigBee and LoRa are compared, a DigiMesh technology is selected as a wireless communication solution of the device.
The utility model discloses when specifically using, following biological brain electricity signal at first through pretreatment such as impedance match, direct current component remove, generate the digital signal transmission of appointed encoding format for the data processing unit. The data processing unit performs a series of processing such as low-pass filtering and power frequency interference suppression on the data, and the processed data is temporarily stored in the internal cache of the equipment.
The motion track recording unit in the position information acquisition unit can analyze and calculate the current geographical position information, generate data in a specified format and send the data to the main processing unit.
Under the control of the main processing unit, the electroencephalogram information data and the motion trail data in the cache can be transmitted to the wireless data transmission unit, and the wireless data transmission unit transmits the data to the remote receiving end in a wireless communication mode for further analysis and processing.
The remote receiving end can send instructions to the device after analysis. The instruction data are received by the wireless data transmission unit and then forwarded to the main processing unit, and the main processing unit analyzes the instruction and then sends an operation instruction to the control signal injection unit.
and the control signal injection unit generates a corresponding bipolar pulse signal after receiving the instruction, and continuously outputs the type signal to the specified position of the biological nerve organ under the control of the main processing unit.
The invention adopts the circuit design with high integration level, the on-chip system based on a simplified instruction set and the software realization of a large number of hardware functions, thereby greatly reducing the volume and the quality of the equipment, leading the equipment to be more suitable for being directly worn by small and medium-sized organisms and having little influence on the biological movement; the method breaks through the mode of temporary data storage and unified recording after the test is finished in the traditional biological behavioral research, and realizes real-time acquisition and return of the neural signals in the process of large-range free motion of the organism; the motor type based on the electrical signal stimulation of the nerve sites and the nuclei can be regulated and controlled while the biological nerve signal acquisition and analysis function is realized.
The invention can collect and process biological brain electrical signals and can achieve the analog-to-digital conversion precision of 0.1 mu V/bit. The operational amplification of the microvolt level brain electrical signals can reach a common mode rejection ratio of 110 dB. In terms of wireless data backhaul, in order to adapt to the situation of the quality change of outdoor wireless communication channels, the device can provide a local cache of up to 256M, and can ensure that electroencephalogram data cannot be lost due to the slowdown or interruption of wireless communication. The bipolar pulse signals are used for stimulating the positions of the biological nerve organs, and the regulation and control of the biological movement behaviors can be realized.
The equipment builds a bidirectional information data link between the biological body and a rear remote control end to finish electroencephalogram information return and control instruction sending. The information acquisition and control operation of the biological individual can be reliably realized within the distance range of 1-2 Km.
Aiming at the above effects, the following specific examples are used to illustrate that the invention can realize the common mode rejection ratio of 110dB in the amplification operation process of weak electroencephalogram signals, and the test steps are as follows:
(1) The circuit is connected as shown in fig. 3.
Wherein the signal generator s adopts Tektronix AFG3021B, and sets the output signal Uid to be 10Hz, 10mVpp, sinusoidal signal; the selected resistance R1/R2 is 10, such as R1 is 1K Ω, and R2 is 100 Ω (the resistance is measured by an Agilent E4980A LCR tester, and the error of the resistance ratio is required to be less than one thousandth);
(2) The signal acquisition is performed using the acquisition software of the PC and the acquired signal is then read Uod. Then the differential magnification is given:
(3) The circuit is connected according to fig. 4.
The method comprises the steps of setting a sinusoidal signal with the output frequency of 10Hz of a signal generator s as a common-mode signal Uic, continuously increasing the amplitude of the input common-mode signal, observing the change of an output end signal, and recording the amplitude value of the Uic and the amplitude value Uoc recorded by acquisition software when the input signal can be observed in the acquisition software.
(4) Calculating a common mode rejection ratio CMRR:
Tests show that the common mode rejection ratio CMRR of the electroencephalogram amplification circuit is more than 110dB, while the CMRR of a common commercial electroencephalogram amplifier is 90-95 dB.
Claims (5)
1. The utility model provides a miniaturized biological neural signal acquisition and motion control device which characterized in that: the biological nerve organ signal processing device comprises an electroencephalogram signal acquisition unit for completing electroencephalogram signal acquisition and direct-current component removal, a core processing unit for completing corresponding instruction and data interaction, a position information acquisition unit for completing GPS/Beidou satellite positioning data receiving and position information resolving functions, a wireless data transmission unit for completing functions of wireless data transmission, background instruction receiving, wireless communication state reporting and the like, and a control signal injection unit for completing biological motion control electric signal generation and continuously injecting signals to a specified position of a specified biological nerve organ under the control of a main processing unit, wherein the core processing unit comprises a memory, a main processor chip and a buffer, the output end of the position information acquisition unit is connected with the input end of the main processor chip, and the output end of the main processor chip is respectively connected with the memory, The buffer, the electroencephalogram signal acquisition unit, the wireless data transmission unit and the input end of the control signal injection unit are connected.
2. The miniaturized biological nerve signal collecting and motion manipulation device of claim 1, wherein: the electroencephalogram signal acquisition mainly comprises an Intan RHD2132 chip and a peripheral interface circuit thereof.
3. The miniaturized biological nerve signal collecting and motion manipulation device of claim 2, wherein: the position information acquisition unit consists of a Ublox satellite positioning chip and a peripheral circuit thereof.
4. The miniaturized biological nerve signal collecting and motion manipulation device of claim 3, wherein: the wireless data transmission unit consists of an XBee-Pro 900HP module, an antenna and a peripheral interface circuit.
5. The miniaturized biological nerve signal collection and motion manipulation device of claim 4, wherein: the control signal injection unit comprises a 430-architecture single chip microcomputer chip, and the 430-architecture single chip microcomputer chip and the core processing unit are communicated by using a UART interface.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111685733A (en) * | 2020-06-02 | 2020-09-22 | 脑谷人工智能研究院(南京)有限公司 | Radio physiological signal acquisition and processing system based on brain science research |
| CN114403900A (en) * | 2022-02-08 | 2022-04-29 | 刘政博 | Electroencephalogram data automatic recording and analyzing system and method in electroencephalogram machine |
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2018
- 2018-11-28 CN CN201821970780.2U patent/CN209789848U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111685733A (en) * | 2020-06-02 | 2020-09-22 | 脑谷人工智能研究院(南京)有限公司 | Radio physiological signal acquisition and processing system based on brain science research |
| CN114403900A (en) * | 2022-02-08 | 2022-04-29 | 刘政博 | Electroencephalogram data automatic recording and analyzing system and method in electroencephalogram machine |
| CN114403900B (en) * | 2022-02-08 | 2024-04-05 | 周口市中心医院 | Electroencephalogram data automatic recording and analyzing system and method in electroencephalogram machine |
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