CN114501187A - Wireless neural signal acquisition system and method - Google Patents
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Abstract
The invention relates to a wireless neural signal acquisition system and a wireless neural signal acquisition method, wherein the system comprises a neural signal acquisition module, a control module, a WIFI module and a cache module, the neural signal acquisition module is used for acquiring high-flux neural signals, preprocessing the high-flux neural signals to obtain digitized neural signals, and outputting the obtained digitized neural signals to the control module, the control module comprises an SPI communication module and a WIFI control module, the WIFI control module is used for controlling the SPI communication module to output the digitized neural signals received by the control module to the WIFI module, the WIFI module is used for transmitting the digitized neural signals to an analysis device to complete analysis of the acquired high-flux neural signals, the cache module is connected with the control module, and the cache module is used for caching the digitized neural signals. Through setting up the buffer memory module, realized the data buffer memory function to neural signal, avoided transmitting the unstable problem that leads to data loss.
Description
Technical Field
The invention relates to the field of biomedical engineering, in particular to a wireless neural signal acquisition system and a wireless neural signal acquisition method.
Background
The current research shows that various nervous system diseases including Parkinson's disease and senile dementia are closely related to the discharge activity of neurons in the central nervous system, and the nerve electrical signals show abnormal activity characteristics and patterns. Therefore, the method has important significance and potential application value for carrying out high-throughput detection on weak nerve electrical signals in brain tissues, researching the dynamic change process of electrophysiological signals under different physiological and pathological conditions, and researching the pathogenesis of nervous system diseases, the action mechanism of related medicaments and the curative effect evaluation of the medicaments. In order to inhibit external noise interference and more accurately measure multiple points simultaneously, most of the current neuroelectric signal acquisition systems adopt implanted multi-channel nerve electrodes to record the discharge activity of neuron cells.
For a back-end acquisition system of a neural signal, a common design scheme is to lead the neural signal out to an upper computer in a wired manner for data acquisition and processing, but for an experiment of a freely moving animal, the animal movement is influenced by the wired connection manner, so that the experiment is greatly limited. In order to solve the problem, some wireless neural signal acquisition systems have appeared at present, and neural signals are transmitted to an upper computer in the form of analog signals through an integrated antenna, but the transmission mode is seriously interfered by the environment, and the quality of acquired signals is poor.
Therefore, it is desirable to provide a wireless neural signal acquisition system that improves the transmission quality of neural signals and has stable transmission effect to solve the above technical problems.
Disclosure of Invention
In order to solve the technical problem, the invention provides a wireless neural signal acquisition system. The problem of transmission process unstability among the prior art, lead to data loss is solved.
The technical effects of the invention are realized as follows:
the utility model provides a wireless neural signal collection system, includes neural signal collection module, control module, WIFI module and cache module, neural signal collection module is used for gathering high flux neural signal and carries out the preliminary treatment to the high flux neural signal who gathers and obtain digital neural signal to will obtain digital neural signal output extremely control module, control module includes SPI communication module and WIFI control module, WIFI control module is used for control SPI communication module will control module received digital neural signal output to WIFI module, the WIFI module is used for transmitting digital neural signal to analytical equipment in order to accomplish the analysis to the high flux neural signal who gathers, cache module with control module connects, cache module is used for caching digital neural signal. Through setting up the buffer memory module, realized the data buffer memory function to neural signal, solved among the prior art transmission process unstability, lead to the problem of data loss. Through setting up Wi Fi module, realized the remote transmission of neural signal, promoted transmission speed, avoided carrying out data acquisition and handling through wired mode and influence animal activity, lead to the problem that the experiment received the restriction.
Furthermore, the control module further comprises a data input module, a data control module and a data output module, wherein the data input module is used for receiving the digitized neural signals output by the neural signal acquisition module and transmitting the digitized neural signals to the data output module through the data control module.
Further, the data control module is configured to take out and output the neural signal digitized in the data input module to the cache module when the data amount of the neural signal digitized in the data input module is read to be greater than an input threshold value. By arranging the data control module and the cache control module, when the data volume in the data control module is full, the data block cached in the data input module is taken out and stored into the cache module through the cache control module; when the data in the data output module is nearly empty, the buffered neural signal data block is read from the buffer control module through the buffer control module and is sent to the data output module, and therefore efficient processing of the data is achieved.
Further, the data control module is configured to take out and output the digitized neural signals stored in the cache module to the data output module when the data amount of the digitized neural signals read into the data output module is smaller than an output threshold.
Furthermore, the control module further comprises a cache control module, the data input module stores the digitized neural signals in the cache module through the cache control module, and the data output module reads the stored digitized neural signals from the cache module through the cache control module.
Further, the neural signal acquisition module is configured to output a write enable signal to the data input module to control the data input module to read the high-flux neural signal acquired by the neural signal acquisition module currently when the acquired high-flux neural signal is an effective signal.
Further, the WIFI control module is set to output a read enable signal to the data output module when the WIFI module is in an idle state so as to control the data output module to output a digitized neural signal to the WIFI module.
Furthermore, the control module further comprises a phase-locked loop, and the phase-locked loop is used for outputting a write clock signal to the neural signal acquisition module and the data input module, and outputting a read clock signal to the data output module and the WIFI module.
Further, the neural signal acquisition module is used for amplifying, filtering and performing analog-to-digital conversion on the acquired high-flux neural signal to obtain a digitized neural signal.
In addition, a wireless neural signal acquisition method is also provided, and the method is implemented based on the above wireless neural signal acquisition system, and the method includes:
the neural signal acquisition module is used for acquiring high-flux neural signals, preprocessing the acquired high-flux neural signals to obtain digitized neural signals, and meanwhile, outputting the obtained digitized neural signals to the control module;
the WIFI control module controls the SPI communication module to output the received digital neural signals to the WIFI module;
and the WIFI module is used for transmitting the digitized neural signals to the analysis module so as to complete the analysis of the collected high-flux neural signals.
As described above, the present invention has the following advantageous effects:
1) through setting up the wiFi module, realized the remote transmission of neural signal, promoted transmission speed, avoided carrying out data acquisition and handling through wired mode and influence animal activity, lead to the problem that the experiment received the restriction.
2) Through setting up the buffer memory module, realized the data buffer memory function to neural signal, solved among the prior art transmission process unstability, lead to the problem of data loss.
3) By arranging the data control module and the cache control module, when the data volume in the data control module is full, the data block cached in the data input module is taken out and stored into the cache module through the cache control module; when the data in the data output module is nearly empty, the buffered neural signal data block is read from the buffer control module through the buffer control module and is sent to the data output module, and therefore efficient processing of the data is achieved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description of the embodiment or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art it is also possible to derive other drawings from these drawings without inventive effort.
Fig. 1 is a block diagram illustrating a wireless neural signal acquisition system according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a wireless neural signal acquisition system provided in an embodiment of the present disclosure.
Wherein the reference numerals in the figures correspond to:
the device comprises a neural signal acquisition module 1, a control module 2, an SPI communication module 21, a WI F I control module 22, a data input module 23, a data control module 24, a data output module 25, a cache control module 26, a phase-locked loop 27, a WIFI module 3 and a cache module 4.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1:
as shown in fig. 1 and fig. 2, an embodiment of the present specification provides a wireless neural signal acquisition system, including neural signal acquisition module 1, control module 2, WIFI module 3 and cache module 4, neural signal acquisition module 1 is used for gathering high-throughput neural signal and preprocesses the high-throughput neural signal that gathers and obtain digital neural signal, and export the digital neural signal that obtains to control module 2, control module 2 includes SPI communication module 21 and WIFI control module 22, WIFI control module 22 is used for controlling SPI communication module 21 to export the digital neural signal that control module 2 received to WIFI module 3, WIFI module 3 is used for transmitting digital neural signal, cache module 4 and control module 2 are connected, cache module 4 is used for caching digital neural signal.
It should be noted that, for a back-end acquisition system of neural signals, the existing design scheme is to lead out the neural signals to an upper computer for data acquisition and processing in a wired manner, but for an experiment of a freely moving animal, the wired connection manner affects the animal activity, so that the experiment is greatly limited. In order to solve the problem, some wireless neural signal acquisition systems have appeared at present, and neural signals are transmitted to an upper computer in the form of analog signals through an integrated antenna, but the transmission mode is seriously interfered by the environment, and the quality of acquired signals is poor.
Therefore, the nerve signal acquisition module 1, the control module 2, the WiFi module 3 and the cache module 4 are arranged, so that the nerve signals are transmitted in a digital signal form at a long distance, the influence of environmental interference on data wireless transmission is reduced, and the problem that the experiment is limited due to the influence of data acquisition and processing in a wired mode on animal activities is avoided; meanwhile, the data caching function of the neural signals is realized, and the problem that data are lost due to the fact that the transmission process is unstable in the prior art is solved.
Specifically, the data compression device for the high-channel neural signal in this embodiment is a data acquisition device for a 128-channel neural signal, the neural signal acquisition module 1 is a neural signal acquisition chip, the control module 2 is an FPGA control chip, and the FPGA control chip implements functions of two FIFO modules, an FIFO controller module, a neural signal processing module 25, and the like on a chip.
The neural signal acquisition chip is an RHD2164 chip, the FPGA control chip is Spartan-6XC6SLX45-2, and the WIFI module 3 is CC 3200. The nerve signal acquisition chip carries out preprocessing such as amplification, filtering and analog-to-digital conversion on the acquired analog nerve signals and then transmits the digitized nerve signals to the FPGA control chip.
Specifically, for bluetooth module, adopt WIFI module 3 to carry out the transmission of data, more can realize neural signal's remote transmission and promote transmission speed to ensure the high-efficient transmission of data.
Preferably, the control module 2 further includes a data input module 23, a data control module 24 and a data output module 25, wherein the data input module 23 is configured to receive the digitized neural signal output by the neural signal acquisition module 1 and transmit the digitized neural signal to the data output module 25 through the data control module 24.
The data input module 21 and the data control module 22 are FIFO modules, and the data output module 23 is a FIFO controller module.
Preferably, the data control module 24 is configured to fetch and output the digitized neural signal in the data input module 23 to the buffer module 4 when the data amount of the digitized neural signal read into the data input module 23 is greater than the input threshold. Wherein the input threshold and the output threshold can be set by those skilled in the art.
Preferably, the data control module 24 is configured to fetch and output the digitized neural signal stored in the buffer module 4 to the data output module 25 when the data amount of the digitized neural signal read into the data output module 25 is smaller than the output threshold.
Specifically, the cache module 4 is an SDRAM cache chip, preferably MT47H64M16XX-3 is used as the SDRAM cache chip, and the two FIFO modules, the FIFO controller module, the SDRAM controller module and the external SDRAM cache chip together implement a data cache function, so that when the data amount in the data control module 24 is fast full, the data block cached in the data input module 23 is taken out and stored into the cache module through the cache control module 26; when data in the data output module 25 is close to empty, namely, the data is basically transmitted through the WIFI module 3, the buffered neural signal data block is read from the buffer control module 24 through the buffer control module 26 and is sent into the data output module 25, so that the buffer function of the data is realized, the data loss caused by unstable wireless transmission is avoided, and the wireless transmission of the neural signal is realized in an auxiliary manner.
Preferably, the control module 2 further includes a buffer control module 26, the data input module 23 stores the digitized neural signal in the buffer module 4 through the buffer control module 26, and the data output module 25 reads the stored digitized neural signal from the buffer module 4 through the buffer control module 26.
Preferably, the neural signal collection module 1 is configured to output a write enable signal to the data input module 23 to control the data input module 23 to read the high-flux neural signal collected by the neural signal collection module 1 currently when the collected high-flux neural signal is a valid signal.
Preferably, the WIFI control module 22 is configured to output a read enable signal to the data output module 25 when the WIFI module 3 is in an idle state to control the data output module 25 to output a digitized neural signal to the WIFI module 3. The WIFI module 3 receives the digitized nerve signals and transmits the digitized nerve signals to the upper computer so as to complete the analysis of the nerve signals by the upper computer.
Specifically, as shown in fig. 1, WR _ EN is a write enable signal, which indicates that the neural signal sampling chip is in an operating state, and the collected neural signal is a valid signal; RD _ EN is a read enable signal of the neural signal processing module 25 indicating that the current data has been processed and that new data can be read.
Preferably, the control module 2 further includes a phase-locked loop 27, and the phase-locked loop 27 is configured to output a write clock signal to the neural signal acquisition module 1 and the data input module 23, and output a read clock signal to the data output module 25 and the WIFI module 3.
Preferably, the neural signal acquisition module 1 is used for amplifying, filtering and analog-to-digital converting the acquired high-flux neural signal to obtain a digitized neural signal.
The on-chip program of the FPGA control chip is realized based on the structure, the 128-channel neural signal wireless transmission system is obtained, and the simultaneous gating of 8-channel neural signals for data transmission can be supported.
The embodiment of the present specification provides a wireless neural signal acquisition method, which is implemented based on the wireless neural signal acquisition system in embodiment 1, and the method includes:
the neural signal acquisition module 1 is used for acquiring high-flux neural signals, preprocessing the acquired high-flux neural signals to obtain digitized neural signals, and meanwhile, outputting the obtained digitized neural signals to the control module 2;
specifically, the nerve signal acquisition module 1 is used for carrying out preprocessing such as amplification, filtering, analog-to-digital conversion and the like on the acquired analog nerve signals to obtain digitized nerve signals, then the digitized nerve signals are transmitted to an FPGA control chip,
the WIFI control module 22 controls the SPI communication module 21 to output the received digital neural signals to the WIFI module 3;
specifically, the FPGA control chip gates 8 channels of digitized neural signals from the 128 channels and transmits the digitized neural signals to the WIFI module 3 through the SPI communication module 21.
And the WIFI module 3 is utilized to transmit the digitized neural signals to the analysis module so as to complete the analysis of the collected high-flux neural signals.
Although the present invention has been described by way of preferred embodiments, the present invention is not limited to the embodiments described herein, and various changes and modifications may be made without departing from the scope of the present invention.
The embodiments and features of the embodiments described herein above can be combined with each other without conflict.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A wireless neural signal acquisition system is characterized by comprising a neural signal acquisition module (1), a control module (2), a WIFI module (3) and a buffer module (4), wherein the neural signal acquisition module (1) is used for acquiring high-flux neural signals, preprocessing the acquired high-flux neural signals to obtain digital neural signals and outputting the obtained digital neural signals to the control module (2), the control module (2) comprises an SPI communication module (21) and a WIFI control module (22), the WIFI control module (22) is used for controlling the SPI communication module (21) to output the digital neural signals received by the control module (2) to the WIFI module (3), the WIFI module (3) is used for transmitting the digital neural signals, and the buffer module (4) is connected with the control module (2), the buffer module (4) is used for buffering the digitized nerve signals.
2. The wireless neural signal acquisition system according to claim 1, wherein the control module (2) further comprises a data input module (23), a data control module (24) and a data output module (25), wherein the data input module (23) is used for receiving the digitized neural signal output by the neural signal acquisition module (1) and transmitting the digitized neural signal to the data output module (25) through the data control module (24).
3. The wireless neural signal acquisition system according to claim 2, wherein the data control module (24) is configured to fetch and output the digitized neural signal in the data input module (23) to the buffer module (4) when the data amount of the digitized neural signal read into the data input module (23) is greater than an input threshold.
4. The wireless neural signal acquisition system according to claim 3, wherein the data control module (24) is configured to fetch and output the digitized neural signal stored in the buffer module (4) to the data output module (25) when the data amount of the digitized neural signal read into the data output module (25) is smaller than an output threshold.
5. The wireless neural signal acquisition system according to claim 4, wherein the control module (2) further comprises a buffer control module (26), the data input module (23) stores the digitized neural signals in the buffer module (4) through the buffer control module (26), and the data output module (25) reads the stored digitized neural signals from the buffer module (4) through the buffer control module (26).
6. The wireless neural signal acquisition system according to claim 2, wherein the neural signal acquisition module (1) is configured to output a write enable signal to the data input module (23) to control the data input module (23) to read the high-flux neural signal currently acquired by the neural signal acquisition module (1) when the acquired high-flux neural signal is a valid signal.
7. The wireless neural signal acquisition system of claim 2, wherein the WIFI control module (22) is configured to output a read enable signal to the data output module (25) to control the data output module (25) to output the digitized neural signal to the WIFI module (3) when the WIFI module (3) is in an idle state.
8. The wireless neural signal acquisition system according to claim 2, wherein the control module (2) further comprises a phase-locked loop (27), and the phase-locked loop (27) is configured to output a write clock signal to the neural signal acquisition module (1) and the data input module (23) and output a read clock signal to the data output module (25) and the WIFI module (3).
9. The wireless neural signal acquisition system according to claim 1, wherein the neural signal acquisition module (1) is configured to amplify, filter and perform analog-to-digital conversion on the acquired high-flux neural signal to obtain a digitized neural signal.
10. A wireless neural signal acquisition method, which is implemented based on the wireless neural signal acquisition system according to any one of claims 1 to 9, wherein the method comprises:
the neural signal acquisition module (1) is used for acquiring high-flux neural signals, preprocessing the acquired high-flux neural signals to obtain digitized neural signals, and meanwhile, outputting the obtained digitized neural signals to the control module (2);
the WIFI control module (22) is used for controlling the SPI communication module (21) to output the received digital neural signals to the WIFI module (3);
and the WIFI module (3) is utilized to transmit the digitized neural signals to the analysis module so as to complete the analysis of the collected high-flux neural signals.
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