Information processing method and device, and system

Abstract

The present application relates to the field of computers, and provides an information processing method and device, and a system. The method is applied to a brain-computer system. The brain-computer system comprises a control module (102). The method comprises: the control module (102) receives a first signal sent by a signal collection module (101), wherein the first signal is obtained by converting a first neural signal of the brain by the signal collection module (101) on the basis of a first configuration parameter; and when the state of the first signal is abnormal, the control module (102) sends first information, wherein the first information instructs the signal collection module to adjust the first configuration parameter to a second configuration parameter. The present application ensures that a feedback module (103) can be controlled.

Description

Information processing method, device and system

[0001] This application claims priority to Chinese patent application number 202311133743.1, filed on September 3, 2023, entitled “Method, device and system for information processing”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of computers, and in particular to a method, device, and system for information processing. Background Art

[0003] A brain-computer interface (BCI) creates a connection between the brain and external devices, enabling information exchange between the brain and feedback devices. It collects neural signals generated by the brain and, based on these signals, derives brain commands or states. These commands reflect the brain's thoughts, while the brain state reflects its physiological state. This control, based on these commands or states, allows the feedback device to perform corresponding actions.

[0004] In related technologies, brain-computer interfaces (BCIs) include a signal acquisition module and a control device, which communicates with both the module and a feedback device. The signal acquisition module collects neural signals from the brain, converts them into digital signals, and transmits these digital signals to the control device. Based on these digital signals, the control device interprets brain commands or states. Based on these commands, it controls the feedback device to implement the brain's instructions. Alternatively, based on the brain's state, it controls the feedback device to intervene in the brain's physiological state.

[0005] In related technologies, the digital signal converted by the signal acquisition module may be abnormal, causing the control device to be unable to obtain brain instructions or brain status based on the digital signal, so that the feedback device cannot be controlled.

[0006] Summary of the Invention

[0007] This application provides an information processing method, device, and system to ensure that a feedback module can be controlled. The technical solution is as follows:

[0008] In a first aspect, the present application provides an information processing method, the method being applied to a brain-computer system, the brain-computer system comprising a control module. In the method, the control module receives a first signal transmitted by a signal acquisition module, the first signal being obtained by the signal acquisition module by converting a first neural signal of the brain based on first configuration parameters. When the state of the first signal is abnormal, the control module transmits a first message instructing the signal acquisition module to adjust the first configuration parameters to second configuration parameters.

[0009] Since the control module sends the first information when the state of the first signal is abnormal, the first information instructs the signal acquisition module to adjust the first configuration parameter to the second configuration parameter, so that reasonable configuration parameters can be adjusted. In this way, the signal acquisition module obtains the first signal in a normal state based on the reasonable configuration parameters, thereby ensuring that the brain instructions or brain state can be obtained based on the first signal, and ensuring that the feedback module can be controlled.

[0010] In a possible implementation, the abnormal state includes at least one of signal saturation, a state where the signal amplitude is too small, and an oscillation state.

[0011] In another possible implementation, the control module includes a threshold determination unit, a mode determination unit, and a storage unit. The threshold determination unit is configured to compare an amplitude threshold with the amplitude of the first signal to obtain a comparison result, wherein the amplitude threshold includes a first amplitude threshold and a second amplitude threshold, wherein the first amplitude threshold is greater than the second amplitude threshold, and to store the comparison result in the storage unit. Furthermore, when the comparison result indicates that the amplitude of the first signal exceeds the first amplitude threshold, the state of the first signal is determined to include signal saturation. The storage unit stores multiple comparison results, each of which is a comparison result obtained by the threshold determination unit at different times. The mode determination unit is configured to determine that the state of the first signal also includes an oscillating state when the storage unit determines that signal saturation occurs periodically, or to determine that the state of the first signal includes a signal amplitude too low state when the storage unit determines that the amplitude of the first signal is lower than the second amplitude threshold for multiple consecutive comparison results. In this way, the state of the first signal can be determined, thereby determining whether the state of the first signal is abnormal.

[0012] In another possible implementation, the threshold determination unit is implemented using software or hardware circuits, and the mode determination unit is implemented using software or hardware circuits.

[0013] In another possible implementation, the signal acquisition module includes a main control unit, a computing unit, and a signal conversion unit, and the first signal is obtained by the signal conversion unit converting the first neural signal based on the first configuration parameter. The first information instructs the main control unit to send an adjustment method to the computing unit based on the state. The adjustment method instructs the computing unit to adjust the first configuration parameter to the second configuration parameter, so that reasonable configuration parameters can be adjusted. In this way, the signal acquisition module obtains a first signal in a normal state based on the reasonable configuration parameters, thereby ensuring that brain instructions or brain states can be obtained based on the first signal, and ensuring that the feedback module can be controlled.

[0014] In another possible implementation, when the first signal is in a normal state, the control module obtains a brain command based on the first signal, where the brain command indicates an action to be performed by the brain. The control module controls the feedback module to perform the action based on the brain command, thereby ensuring that the feedback module can be controlled to perform the action.

[0015] In another possible implementation, when the first signal is in a normal state, the control module obtains a first brain state based on the first signal. The first brain state is used to reflect a physiological condition occurring in the brain. The control module controls the feedback module to intervene in the physiological condition based on the first brain state, thereby ensuring that the feedback module can be controlled to intervene in the physiological condition.

[0016] In another possible implementation, the control module receives a second signal, which is obtained by the signal acquisition module by converting a second neural signal generated by the brain. The second neural signal is acquired after the first neural signal is acquired. The control module obtains a second brain state based on the second signal. When the control module determines that the brain is still experiencing the physiological condition based on the second brain state, it adjusts the intervention parameters of the feedback module. The intervention parameters are the parameters used by the feedback module to intervene in the physiological condition. In this way, when the intervention parameters of the feedback module are inappropriate, the intervention parameters can be automatically adjusted.

[0017] In another possible implementation, the control module and the signal acquisition module are integrated into one device, which can simplify the structure of the brain-computer system.

[0018] In another possible implementation, the control module is implemented using software or hardware circuits, and the signal acquisition module is implemented using software or hardware circuits.

[0019] In a second aspect, the present application provides a method for information processing, which is applied to a brain-computer system, and the brain-computer system includes a control module. In the method, the control module sends a control command, which instructs the feedback module to intervene in a physiological condition occurring in the brain. The control module receives feedback information, which indicates the situation in which the feedback module intervenes in the physiological condition. The control module determines an abnormality that occurs in the feedback module based on the feedback information. The feedback module sends feedback information to the control module, which indicates the situation in which the feedback module intervenes in the physiological condition. The control module determines an abnormality that occurs in the feedback module based on the feedback information, so that the abnormality can be located.

[0020] In a possible implementation, the abnormality means that the feedback module does not intervene in the physiological condition, or the abnormality means that the feedback module incorrectly intervenes in the physiological condition.

[0021] In another possible implementation, the anomaly refers to the feedback module incorrectly intervening in the physiological condition. The feedback information indicates whether a first intervention parameter and a second intervention parameter are identical. The first intervention parameter is the parameter that the feedback module is expected to employ when intervening in the physiological condition, and the second intervention parameter is the parameter that the feedback module actually employs when intervening in the physiological condition. When the control module determines, based on the feedback information, that the first intervention parameter and the second intervention parameter are different, it determines that the feedback module incorrectly intervened in the physiological condition, thereby locating the anomaly of the incorrect intervention.

[0022] In another possible implementation, the feedback information includes the second intervention parameter, or the feedback module includes the first intervention parameter, and the feedback information includes a comparison result of the first intervention parameter and the second intervention parameter by the feedback module.

[0023] In another possible implementation, the feedback module includes a control drive unit and a monitoring unit. The control drive unit is configured to intervene in the physiological condition. The monitoring unit is configured to, upon detecting that the control drive unit is intervening in the physiological condition, obtain a second intervention parameter and send feedback information including the second intervention parameter, or compare the first intervention parameter with the second intervention parameter.

[0024] In a third aspect, the present application provides a method for information processing, which is applied to a brain-computer system, and the brain-computer system includes a signal acquisition module. In the method, the signal acquisition module receives second information, and the second information instructs the feedback module to intervene in the physiological condition of the brain, and the physiological condition is obtained based on the neural signal of the brain collected by the signal acquisition module. The signal acquisition module performs a first operation based on the second information, and the first operation is used to reduce the impact of the intervention operation performed by the feedback module on the collection of the neural signal. The feedback module sends the second information to the signal acquisition module and performs the first operation based on the second information. The first operation includes one or more of the following: turning off the function of collecting the neural signal, or reducing the amplification factor of the neural signal. This can enable the control module to stop the control feedback module from continuing to intervene in the physiological condition of the brain, thereby avoiding erroneous intervention by the control feedback module.

[0025] In another possible implementation, the first operation includes one or more of the following: turning off the function of collecting the neural signal, or reducing the amplification factor of the neural signal.

[0026] In a fourth aspect, the present application provides an information processing device for executing the method in the first aspect or any possible implementation of the first aspect. Specifically, the device includes a unit for executing the method in the first aspect or any possible implementation of the first aspect.

[0027] In a fifth aspect, the present application provides an information processing device for executing the method in the second aspect or any possible implementation of the second aspect. Specifically, the device includes a unit for executing the method in the second aspect or any possible implementation of the second aspect.

[0028] In a sixth aspect, the present application provides an information processing device for executing the method in the third aspect or any possible implementation of the third aspect. Specifically, the device includes a unit for executing the method in the third aspect or any possible implementation of the third aspect.

[0029] In the seventh aspect, the present application provides a computer program product, which includes a computer program stored in a computer-readable storage medium, and the computer program is loaded by a processor to implement instructions of the method of the above-mentioned first aspect, second aspect, third aspect, any possible implementation of the first aspect, any possible implementation of the second aspect, or any possible implementation of the third aspect.

[0030] In an eighth aspect, the present application provides a computer-readable storage medium for storing a computer program, which is loaded by a processor to execute instructions of the method of the first aspect, the second aspect, the third aspect, any possible implementation of the first aspect, any possible implementation of the second aspect, or any possible implementation of the third aspect.

[0031] In the ninth aspect, the present application provides a chip comprising a memory and a processor, the memory being used to store computer instructions, and the processor being used to call and run the computer instructions from the memory to execute instructions of the method of the above-mentioned first aspect, second aspect, third aspect, any possible implementation of the first aspect, any possible implementation of the second aspect, or any possible implementation of the third aspect.

[0032] In a tenth aspect, the present application provides an information processing system, which includes the device described in the fourth aspect, the device described in the fifth aspect, and the device described in the sixth aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] FIG1 is a schematic structural diagram of a brain-computer system provided in an embodiment of the present application;

[0034] FIG2 is a schematic structural diagram of another brain-computer system provided in an embodiment of the present application;

[0035] FIG3 is a schematic structural diagram of another brain-computer system provided in an embodiment of the present application;

[0036] FIG4 is a schematic structural diagram of another brain-computer system provided in an embodiment of the present application;

[0037] FIG5 is a flow chart of an information processing method provided by an embodiment of the present application;

[0038] FIG6 is a flow chart of another information processing method provided by an embodiment of the present application;

[0039] FIG7 is a flow chart of another information processing method provided by an embodiment of the present application;

[0040] FIG8 is a schematic diagram of the structure of an information processing device provided in an embodiment of the present application;

[0041] FIG9 is a schematic diagram of the structure of another information processing device provided in an embodiment of the present application;

[0042] FIG10 is a schematic diagram of the structure of another information processing device provided in an embodiment of the present application;

[0043] FIG11 is a schematic diagram of the structure of another information processing device provided in an embodiment of the present application;

[0044] FIG12 is a schematic diagram of the structure of another information processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

[0046] Referring to FIG1 , an embodiment of the present application provides a brain-computer system 100, which includes a signal acquisition module 101, a control module 102, and at least one feedback module 103. The control module 102 can communicate with the signal acquisition module 101 and the at least one feedback module 103, respectively. The signal acquisition module 101 can also communicate with the at least one feedback module 103 or some of the at least one feedback module 103.

[0047] In some embodiments, the modules in the embodiments of the present application can be implemented using software or hardware circuits. For example, the signal acquisition module 101 can be implemented using software or hardware circuits, such as the signal acquisition module 101 can be a signal acquisition circuit. For another example, the control module 102 can be implemented using software or hardware circuits, such as the control module 102 can be a control circuit. For another example, the feedback module 103 can be implemented using software or hardware circuits, such as the feedback module 103 can be a feedback circuit. In the embodiments of the present application, the meanings of other modules mentioned are the same as the meanings of the modules here and will not be explained one by one.

[0048] In some embodiments, the at least one feedback module 103 may include at least one first feedback module and / or at least one second feedback module, the first feedback module is used to implement the action that the brain needs to perform, and the second feedback module is used to intervene in the physiological condition of the brain.

[0049] For example, if housework needs to be done, the first feedback module may be a device such as a robot used for housework, or if watching TV is needed, the first feedback module may be a TV, or if listening to music is needed, the first feedback module may be a music player, etc. The first feedback module may also be other devices, which are not listed here.

[0050] The second feedback module may be a therapeutic device for treating brain diseases, for example, a nerve stimulation device for treating epilepsy; or the second feedback module may be an auxiliary device for assisting sleep, for example, a sleep aid. The second feedback module may also be other devices, which are not listed here.

[0051] The signal acquisition module 101 can acquire a first neural signal from the brain, convert the first neural signal into a first signal based on a first configuration parameter, and send the first signal to the control module 102 .

[0052] The control module 102 may receive a first signal and, based on the first signal, obtain a brain instruction or a brain state. The brain instruction reflects an action that the brain needs to perform, and the brain state reflects a physiological condition that occurs in the brain. The control module 102 may control the first feedback module to implement the action based on the brain instruction, or control the second feedback module to intervene in the physiological condition that occurs in the brain based on the brain state.

[0053] In some embodiments, the control module 102 includes a decoding algorithm, and the control module 102 processes the first signal through the decoding algorithm to obtain a brain instruction or a brain state.

[0054] In some embodiments, the first signal may be an electrical signal. The control module 102 receives the first signal, converts the first signal into a digital signal, and processes the digital signal through a decoding algorithm to obtain a brain instruction or brain state.

[0055] In some embodiments, the first signal may be a digital signal. The control module 102 receives the first signal and processes the first signal through a decoding algorithm to obtain a brain instruction or brain state.

[0056] In some embodiments, the state of the first signal may be abnormal, causing the control module 102 to be unable to obtain brain instructions or brain state based on the first signal. The abnormal state of the first signal may be caused by unreasonable first configuration parameters in the signal acquisition module 101.

[0057] The control module 102 may also send first information to the signal acquisition module 101 when the state of the first signal is abnormal. The signal acquisition module 101 receives the first information and adjusts the first configuration parameter to the second configuration parameter based on the first information to make the second configuration parameter reasonable.

[0058] In some embodiments, referring to FIG. 2 , the signal acquisition module 101 includes a main control unit 1011 , a calculation unit 1012 , and a signal conversion unit 1013 .

[0059] The signal conversion unit 1013 is used to collect a first neural signal from the brain, convert the collected first neural signal into a first signal based on a first configuration parameter, and send the first signal to the control module 102.

[0060] The main control unit 1011 can receive the first information sent by the control module 102 and send an adjustment method to the calculation unit 1012 based on the first information. The calculation unit 1012 adjusts the first configuration parameter in the signal conversion unit 1013 to the second configuration parameter based on the adjustment method. The adjustment method may be to reduce the first configuration parameter or increase the first configuration parameter.

[0061] In some embodiments, the units in the embodiments of the present application can be implemented using software or hardware circuits. For example, the main control unit 1011 can be implemented using software or hardware circuits, such as the main control unit 1011 can be a main control circuit. For another example, the computing unit 1012 can be implemented using software or hardware circuits, such as the computing unit 1012 can be a computing circuit. For another example, the signal conversion unit 1013 can be implemented using software or hardware circuits, such as the signal conversion unit 1013 can be a signal conversion circuit. In the embodiments of the present application, the meanings of other units appearing are the same as those of the units here, and they will not be described one by one.

[0062] In some embodiments, referring to FIG2 , the signal conversion unit 1013 includes an analog signal processing unit, etc. The analog signal processing unit can convert the first neural signal into an electrical signal, amplify and / or filter the electrical signal based on first configuration parameters, and send the first signal to the control module 102. The first signal is the processed electrical signal.

[0063] In some embodiments, referring to FIG3 , the signal conversion unit 1013 includes an analog signal processing unit and an analog-to-digital conversion unit. The analog signal processing unit may convert the first neural signal into an electrical signal and send the electrical signal to the analog-to-digital conversion unit. Optionally, the analog signal processing unit may amplify and / or filter the electrical signal based on some or all of the first configuration parameters, and send the processed electrical signal to the analog-to-digital conversion unit.

[0064] The analog-to-digital conversion unit receives the electrical signal sent by the analog signal processing unit, converts the electrical signal into a first signal, which is a digital signal, and sends the first signal to the control module 102. Optionally, the analog-to-digital conversion unit may perform amplification and / or filtering on the first signal based on some or all of the first configuration parameters, and sends the processed first signal to the control module 102.

[0065] Optionally, the analog-to-digital conversion unit may be a circuit such as an analog to digital converter (ADC).

[0066] In some embodiments, referring to FIG. 2 or FIG. 3 , the control module 102 includes a threshold determination unit 1021 , a mode determination unit 1022 , and a storage unit 1023 .

[0067] The threshold determination unit 1021 may receive a first signal, compare an amplitude threshold with an amplitude of the first signal to obtain a comparison result, the amplitude threshold including a first amplitude threshold and a second amplitude threshold, the first amplitude threshold being greater than the second amplitude threshold, store the comparison result in the storage unit 1023, and determine a state of the first signal when the comparison result shows that the amplitude of the first signal exceeds the first amplitude threshold, the state of the first signal including signal saturation, wherein the storage unit 1023 stores a plurality of comparison results, the plurality of comparison results being comparison results obtained by the threshold determination unit 1021 at different times;

[0068] The mode judgment unit 1022 is used to determine that the state of the first signal also includes an oscillation state when it is determined based on the storage unit 1023 that signal saturation periodically occurs, or to determine that the state of the first signal includes a signal amplitude too small state when it is determined based on the storage unit 1023 that multiple consecutive comparison results are that the amplitude of the first signal is lower than the second amplitude threshold.

[0069] In some embodiments, referring to FIG. 2 or FIG. 3 , the control module 102 further includes a control processing unit 1024 .

[0070] The control processing unit 1024 may receive the first signal and, based on the first signal, obtain a brain instruction or a brain state, wherein the brain instruction reflects an action to be performed by the brain, and the brain state reflects a physiological condition occurring in the brain. The control processing unit 1024 may control the first feedback module to implement the action based on the brain instruction, or control the second feedback module to intervene in the physiological condition occurring in the brain based on the brain state.

[0071] In some embodiments, the first signal is a digital signal, and the control processing unit 1024 obtains the brain command or brain state based on the digital signal. Alternatively, the first signal is an electrical signal, and the control processing unit 1024 converts the first signal into a digital signal, and obtains the brain command or brain state based on the digital signal.

[0072] In some embodiments, the first signal may have high noise levels and be a digital signal. The control processing unit 1024 may improve the signal-to-noise ratio of the first signal and process the first signal with the improved signal-to-noise ratio using a decoding algorithm to obtain a brain command or brain state. Alternatively, if the first signal is an electrical signal, the control processing unit 1024 may convert the first signal into a digital signal, improve the signal-to-noise ratio of the digital signal, and process the digital signal with the improved signal-to-noise ratio using a decoding algorithm to obtain a brain command or brain state.

[0073] In some embodiments, referring to FIG. 4 , the second feedback module may include a monitoring unit 1031 and a control driving unit 1032 .

[0074] When the control module 102 obtains the brain state based on the first signal, it sends a control command to the second feedback module.

[0075] The control driving unit 1032 receives the control command and intervenes in the physiological condition of the brain based on the control command.

[0076] The monitoring unit 1031 may monitor the intervention of the second feedback module on the physiological condition and send feedback information to the control module 102 .

[0077] The control module 102 determines an abnormality in the second feedback module based on the feedback information.

[0078] In some embodiments, the monitoring unit 1031 may further send second information to the signal acquisition module 101 , where the second information instructs the second feedback module to intervene in a physiological condition occurring in the brain.

[0079] The signal acquisition module 101 may perform a first operation based on the second information, where the first operation is used to reduce the impact of the intervention operation performed by the second feedback module on the acquired neural signal.

[0080] In some embodiments, the main control unit 1011 in the signal acquisition module 101 may receive the second information and perform the first operation based on the second information.

[0081] In some embodiments, the signal acquisition module 101 and the control module 102 may be integrated into one device, or the signal acquisition module 101 and the control module 102 may not be integrated into one device.

[0082] In some embodiments, the signal acquisition module 101 may be a chip, a helmet, or a probe.

[0083] Referring to FIG5 , an embodiment of the present application provides an information processing method 500 , which is applied to the brain-computer system 100 shown in FIG1 , FIG2 , FIG3 , or FIG4 . When the configuration parameters in the signal acquisition module are unreasonable, the method 500 can be used to adjust the configuration parameters in the signal acquisition module to reasonable configuration parameters. The method 500 includes the following process.

[0084] Step 501: The signal acquisition module acquires a first neural signal from the brain and converts the first neural signal into a first signal based on a first configuration parameter.

[0085] In some embodiments, the first configuration parameter includes at least one magnification factor. Optionally, the first configuration parameter includes one magnification factor, or the first configuration parameter includes a first magnification factor and a second magnification factor.

[0086] The first signal may be an electrical signal or a digital signal. In step 501, the signal acquisition module may convert the first neural signal into the first signal in the following two ways. Of course, there may be other ways to convert the first neural signal into the first signal, which are not listed here.

[0087] In Method 1, the first signal is a digital signal, and the first configuration parameter includes an amplification factor. The signal acquisition module converts the first neural signal into an electrical signal, and then converts the electrical signal into a digital signal. The digital signal is amplified based on the amplification factor, and the first signal is the amplified digital signal. Alternatively, the first configuration parameter may also include filtering parameters (such as filtering duration and / or filtering frequency), and the amplified digital signal is filtered based on the filtering parameters, and the first signal is the filtered digital signal.

[0088] In some embodiments, the signal acquisition module may be the signal acquisition module in the brain-computer system 100 shown in FIG3 . The signal conversion unit in the signal acquisition module includes an analog signal processing unit and an analog-to-digital conversion unit. The following lists several examples of how the signal acquisition module converts the first neural signal into the first signal. Of course, there are other examples of how the first neural signal is converted into the first signal, which are not listed here one by one.

[0089] In Example 1, the first configuration parameter includes an amplification factor. The analog signal processing unit may convert the first neural signal into an electrical signal, amplify the electrical signal based on the amplification factor, and send the amplified electrical signal to the analog-to-digital conversion unit. The analog-to-digital conversion unit receives the amplified electrical signal and converts the amplified electrical signal into a digital signal, with the first signal being the digital signal. Optionally, the first configuration parameter may also include a filtering parameter, and the digital signal is filtered based on the filtering parameter. The first signal is the filtered digital signal.

[0090] In Example 2, the first configuration parameter includes an amplification factor. The analog signal processing unit can convert the first neural signal into an electrical signal and send the electrical signal to the analog-to-digital conversion unit. The analog-to-digital conversion unit receives the electrical signal, converts the electrical signal into a digital signal, and amplifies the digital signal based on the amplification factor to obtain a first signal, where the first signal is the amplified digital signal. Optionally, the first configuration parameter may also include a filtering parameter, and the amplified digital signal is filtered based on the filtering parameter, where the first signal is the filtered digital signal.

[0091] Example 3: The first configuration parameter includes a first amplification factor and a second amplification factor. The analog signal processing unit can convert the first neural signal into an electrical signal, amplify the electrical signal based on the first amplification factor, and send the amplified electrical signal to the analog-to-digital conversion unit. The analog-to-digital conversion unit receives the electrical signal, converts the electrical signal into a digital signal, amplifies the digital signal based on the second amplification factor to obtain a first signal, and the first signal is the amplified digital signal. Optionally, the first configuration parameter may also include a filtering parameter, and the amplified digital signal is filtered based on the filtering parameter, and the first signal is the filtered digital signal.

[0092] In mode 2, the first signal is an electrical signal, and the first configuration parameter includes an amplification factor. The signal acquisition module converts the first neural signal into an electrical signal. The telecommunication signal is amplified based on the amplification factor, and the amplified telecommunication signal is the first signal. Alternatively, the first configuration parameter may also include a filtering parameter, and the amplified electrical signal is filtered based on the filtering parameter, and the filtered electrical signal is the first signal.

[0093] In some embodiments, in mode 2, the signal acquisition module may be the signal acquisition module 101 in the brain-computer system 100 shown in Figure 2. The analog signal processing unit included in the signal acquisition module 101 converts the first neural signal into an electrical signal and amplifies the electrical signal based on the amplification factor.

[0094] Step 502: The signal acquisition module sends a first signal to the control module.

[0095] The signal acquisition module and the control module are not integrated into a single device. Instead, the signal acquisition module and the control module are connected via a wired connection, and the signal acquisition module can send the first signal to the control module. Alternatively, a wireless communication connection is established between the signal acquisition module and the control module, and the signal acquisition module can send the first signal to the control module via the wireless communication connection.

[0096] The signal acquisition module and the control module are integrated into one device. The signal acquisition module and the control module are connected via an internal connection such as a bus or a single board. The signal acquisition module can send a first signal to the control module via the internal connection.

[0097] Step 503: The control module receives the first signal and determines the state of the first signal. If the state of the first signal is abnormal, step 504 is executed; if the state of the first signal is normal, step 506 is executed.

[0098] The abnormal state includes at least one of signal saturation, signal amplitude being too small, and oscillation.

[0099] The so-called signal saturation means that the amplitude of the first signal exceeds the first amplitude threshold. The so-called signal amplitude is too small state means that the amplitude of the first signal is lower than the second amplitude threshold, and the first amplitude threshold is greater than the second amplitude threshold. The so-called oscillation state means that signal saturation occurs periodically.

[0100] In step 503, the control module compares the amplitude threshold with the amplitude of the first signal to obtain a comparison result, and saves the comparison result. The control module may have saved the comparison result obtained before the current one.

[0101] The amplitude threshold includes a first amplitude threshold and a second amplitude threshold, and the control module compares the amplitude of the first signal with the first amplitude threshold to obtain a comparison result. When the comparison result shows that the amplitude of the first signal exceeds the first amplitude threshold, the state of the first signal is determined to include signal saturation. When it is determined based on the saved multiple comparison results that there are multiple consecutive comparison results showing that the amplitude of the first signal is lower than the second amplitude threshold, the state of the first signal is determined to include a signal amplitude too small state. When the comparison result shows that the amplitude of the first signal exceeds the second amplitude threshold but does not exceed the first amplitude threshold, the state of the first signal is determined to be normal.

[0102] The control module also saves the state of the first signal, wherein the state of the signal obtained by the control module at different times is saved, that is, the control module saves multiple states. If signal saturation occurs periodically in the multiple states, it is determined that the state of the first signal also includes an oscillation state.

[0103] 2 , 3 or 4 , the control module includes a threshold determination unit, a mode determination unit and a storage unit.

[0104] The threshold judgment unit is configured to compare an amplitude threshold with the amplitude of the first signal to obtain a comparison result, the amplitude threshold including a first amplitude threshold and a second amplitude threshold, store the comparison result in a storage unit, and determine a state of the first signal when the comparison result shows that the amplitude of the first signal exceeds the first amplitude threshold, the state of the first signal including signal saturation, wherein the storage unit stores a plurality of comparison results, the plurality of comparison results being comparison results obtained by the threshold judgment unit at different times;

[0105] The mode judgment unit is used to determine that the state of the first signal also includes an oscillation state when it is determined based on the storage unit that signal saturation periodically occurs, or to determine that the state of the first signal includes a signal amplitude too small state when it is determined based on the storage unit that multiple consecutive comparison results are that the amplitude of the first signal is lower than the second amplitude threshold.

[0106] The state of the first signal may include a signal saturation or oscillation state, indicating that the power of the first signal is too high, resulting in the control module being unable to interpret the first signal, and in this case, the amplification factor of the first signal needs to be reduced. Alternatively, the state of the first signal may include a signal amplitude too low, indicating that the power of the first signal is too low, resulting in the control module being unable to interpret the first signal, and in this case, the amplification factor of the first signal needs to be increased.

[0107] Step 504: The control module sends first information to the signal acquisition module.

[0108] In some embodiments, the first information includes a state of the first signal, or the control module obtains an adjustment method based on the state of the first signal, and the first information includes the adjustment method, which is to reduce the first configuration parameter or increase the first configuration parameter.

[0109] In some embodiments, when the state of the first signal includes a signal saturation / or oscillation state, the control module obtains an adjustment method of reducing the first configuration parameter; when the state of the first signal includes a signal amplitude that is too small, the control module obtains an adjustment method of increasing the first configuration parameter.

[0110] Step 505 : The signal acquisition module receives the first information, adjusts the first configuration parameter to the second configuration parameter based on the first information, and returns to execute step 501 .

[0111] In step 505 , the signal acquisition module receives first information, acquires an adjustment method based on the first information, and adjusts the first configuration parameter to a second configuration parameter based on the adjustment method.

[0112] In some embodiments, the first information includes a state of the first signal, the signal acquisition module obtains an adjustment method based on the state of the first signal, and adjusts the first configuration parameter to the second configuration parameter based on the adjustment method. Alternatively, the first information includes the adjustment method, and the first configuration parameter is adjusted to the second configuration parameter based on the adjustment method.

[0113] Optionally, the adjustment method is to reduce the first configuration parameter, and the signal acquisition module reduces the amplification factor included in the first configuration parameter to obtain the second configuration parameter. Alternatively, the adjustment method is to increase the first configuration parameter, and the signal acquisition module increases the amplification factor included in the first configuration parameter to obtain the second configuration parameter.

[0114] The following lists two ways of adjusting the first configuration parameter to the second configuration parameter. Of course, there may be other ways of adjusting the first configuration parameter to the second configuration parameter, which are not listed here one by one.

[0115] Method 1: This adjustment method involves decreasing the first configuration parameter. The signal acquisition module decreases the amplification factor included in the first configuration parameter by a first value to obtain a second configuration parameter. Alternatively, this adjustment method involves increasing the first configuration parameter. The signal acquisition module increases the amplification factor included in the first configuration parameter by a second value to obtain the second configuration parameter. Optionally, both the first value and the second value are preset values.

[0116] In some embodiments, the signal acquisition module may be the signal acquisition module in the brain-computer system 100 shown in Figure 2 or Figure 3. The signal conversion unit includes a main control unit, a computing unit, and a signal conversion unit, and the signal conversion unit includes a first configuration parameter.

[0117] In method 1, the main control unit receives first information, obtains an adjustment method based on the first information, and sends the adjustment method to the computing unit. Optionally, the first information includes a state of a first signal, and the main control unit obtains the adjustment method based on the state of the first signal; or, the first information includes the adjustment method, and the main control unit obtains the adjustment method from the first information.

[0118] The calculation unit receives the adjustment method and obtains a first configuration parameter included in the signal conversion unit. If the adjustment method is to reduce the first configuration parameter, the amplification factor included in the first configuration parameter is reduced by a first value to obtain a second configuration parameter, and the first configuration parameter in the signal conversion unit is updated to the second configuration parameter. Alternatively, if the adjustment method is to increase the first configuration parameter, the amplification factor included in the first configuration parameter is increased by a second value to obtain the second configuration parameter, and the first configuration parameter in the signal conversion unit is updated to the second configuration parameter.

[0119] In a second method, the signal acquisition module includes multiple configuration parameters, including a first configuration parameter. The adjustment method is to decrease the first configuration parameter, and the signal acquisition module selects a configuration parameter smaller than the first configuration parameter from the multiple configuration parameters as the second configuration parameter. Alternatively, the adjustment method is to increase the first configuration parameter, and the signal acquisition module selects a configuration parameter larger than the first configuration parameter from the multiple configuration parameters as the second configuration parameter.

[0120] In some embodiments, the signal acquisition module may be the signal acquisition module in the brain-computer system 100 shown in Figure 2 or Figure 3. The signal conversion unit includes a main control unit, a computing unit, and a signal conversion unit, and the signal conversion unit includes a first configuration parameter.

[0121] In the second method, the main control unit receives the first information, obtains the adjustment method based on the first information, and sends the adjustment method to the calculation unit.

[0122] The calculation unit receives the adjustment method and obtains a first configuration parameter included in the signal conversion unit. The calculation unit includes multiple configuration parameters. If the adjustment method is to decrease the first configuration parameter, the calculation unit selects a configuration parameter smaller than the first configuration parameter from the multiple configuration parameters as the second configuration parameter, and updates the first configuration parameter in the signal conversion unit to the second configuration parameter. Alternatively, if the adjustment method is to increase the first configuration parameter, the calculation unit selects a configuration parameter larger than the first configuration parameter from the multiple configuration parameters as the second configuration parameter, and updates the first configuration parameter in the signal conversion unit to the second configuration parameter.

[0123] After adjusting the first configuration parameter to the second configuration parameter, the signal acquisition module can continue to collect neural signals from the brain and convert the neural signals based on the second configuration parameter to obtain the first signal, that is, the above step 501 can be continued. If the state of the first signal is still abnormal, the second configuration parameter will continue to be adjusted according to the above steps 501 to 505 until it is adjusted to a reasonable configuration parameter. In this way, the signal acquisition module can obtain the first signal in a normal state and send the first signal in a normal state to the control module, so that the control module can obtain brain instructions or brain status based on the first signal in a normal state, thereby successfully controlling the feedback module.

[0124] Step 506: The control module obtains a brain instruction or a first brain state based on the first signal. The brain instruction indicates an action that the brain needs to perform, and the first brain state is used to reflect a physiological condition of the brain.

[0125] In step 506, the control module may increase the signal-to-noise ratio of the first signal and process the first signal with the increased signal-to-noise ratio using a decoding algorithm to obtain a brain command or a first brain state. Alternatively, the control module may extract at least one information feature from the first signal using the decoding algorithm and obtain the brain command or the first brain state based on the at least one information feature.

[0126] 2 , 3 or 4 , the control module includes a control processing unit that can improve the signal-to-noise ratio of the first signal and process the first signal with the improved signal-to-noise ratio through a decoding algorithm to obtain a brain instruction or brain state.

[0127] Step 507: The control module controls the first feedback module to implement the action or controls the second feedback module to intervene in the physiological condition based on the brain instruction.

[0128] In some embodiments, the control module determines a first feedback module capable of implementing the action based on the brain instruction, and sends an action instruction to the first feedback module. The first feedback module receives the action instruction and implements the action based on the action instruction.

[0129] For example, the brain instruction is an instruction for doing housework. The control module determines the robot used to do the housework, sends an action command to the robot, and the robot receives the action command and executes the operation of doing the housework based on the action command.

[0130] For another example, the brain instruction is an instruction for watching TV. The control module determines the TV set for watching TV and sends a start command to the TV set. The TV set receives the start command, turns on the TV set based on the start command, and plays the video.

[0131] In some embodiments, the control module determines a second feedback module capable of intervening in the physiological condition based on the first brain state, and sends a control command to the second feedback module. The second feedback module receives the control command and intervenes in the physiological condition based on the control command.

[0132] Optionally, the second feedback module includes a first intervention parameter, which includes one or more of the following information: the width of the intervention signal, or the amplitude of the intervention signal. Triggered by the control command, the second feedback module generates an intervention signal based on the first intervention parameter and transmits the intervention signal to the brain. The intervention signal can intervene in the physiological condition of the brain.

[0133] For example, the physiological condition present in the brain is epilepsy, the first brain state is an epileptic state, and the first intervention parameter in the control module includes, for example, the width and / or amplitude of a pulse signal used to treat epilepsy. Based on the epileptic state, the control module determines a neurostimulator capable of treating epilepsy and sends a control command to the neurostimulator. The neurostimulator receives the control command, generates a pulse signal based on the first intervention parameter, and sends the pulse signal to the brain.

[0134] For another example, the physiological condition present in the brain is insomnia, and the first brain state is an insomnia state. The first intervention parameter in the control module includes the width and / or amplitude of an EEG signal used to assist sleep. Based on the insomnia state, the control module determines a sleep aid device that can assist sleep and sends a control command to the sleep aid device. The sleep aid device receives the control command, generates an EEG signal based on the first intervention parameter, and sends the EEG signal to the brain.

[0135] In some embodiments, the first intervention parameter may be unreasonable and needs to be adjusted. The following steps 1-4 may be used to adjust the first intervention parameter to obtain a reasonable intervention parameter.

[0136] 1. The signal acquisition module acquires a second neural signal from the brain, converts the second neural signal into a second signal, and sends the second signal to the control module. The second neural signal is acquired after the first neural signal is acquired.

[0137] The detailed implementation process of the signal acquisition module obtaining the second signal can be found in the relevant content of the above step 501, which will not be described in detail here.

[0138] 2. The control module receives the second signal and obtains a second brain state based on the second signal.

[0139] The control module determines the state of the second signal, and if the state of the second signal is normal, improves the signal-to-noise ratio of the second signal, and processes the second signal with the improved signal-to-noise ratio through a decoding algorithm to obtain a second brain state.

[0140] 3. The control device determines whether the brain still has a physiological condition based on the second brain state. If the brain still has the physiological condition, perform the following operation 4; if the brain does not have the physiological condition, return to perform operation 1.

[0141] 4. The control device adjusts the first intervention parameter in the second feedback module to the second intervention parameter.

[0142] In some embodiments, the control device obtains the first intervention parameter from the second feedback module, reduces the first intervention parameter to obtain the second intervention parameter or increases the first intervention parameter to obtain the second intervention parameter, and updates the first intervention parameter in the second feedback module to the second intervention parameter.

[0143] In this way, when the intervention parameters of the second feedback module are unreasonable, the intervention parameters of the second feedback module can be automatically adjusted through the above operations 1-4. Compared with manual adjustment, this improves adjustment efficiency and reduces the difficulty of adjusting the intervention parameters.

[0144] In an embodiment of the present application, the signal acquisition module includes a first configuration parameter, the signal acquisition module acquires a first neural signal of the brain, converts the first neural signal into a first signal based on the first configuration parameter, and sends the first signal to the control module. The control module receives the first signal, obtains the state of the first signal, and sends a first message to the signal acquisition module when the state of the first signal is abnormal. The signal acquisition module receives the first message, adjusts the first configuration parameter to a second configuration parameter based on the first message to obtain a reasonable configuration parameter. In this way, the signal acquisition module can obtain a first signal in a normal state based on the second configuration parameter, and send the first signal in a normal state to the control module, so that the control module can obtain brain instructions or brain states based on the first signal in a normal state, thereby successfully controlling the feedback module.

[0145] Referring to FIG6 , an embodiment of the present application provides an information processing method 600 , which is applied to the brain-computer system 100 shown in FIG1 , FIG2 , FIG3 , or FIG4 . When an abnormality occurs in the second feedback module, the method 600 can be used to determine the abnormality in the second feedback module. The method 600 includes the following process.

[0146] Step 601: The control module sends a control command to the second feedback module, where the control command instructs the second feedback module to intervene in a physiological condition occurring in the brain.

[0147] The control module obtains a first brain state through steps 501-506 of method 500 shown in FIG5 . The first brain state is used to reflect a physiological condition of the brain. Based on the first brain state, the control module determines a second feedback module that can intervene in the physiological condition and sends a control command to the second feedback module.

[0148] For example, if the physiological condition of the brain is epilepsy, the first brain state is an epileptic state. Based on the epileptic state, the control module determines a neurostimulation device that can treat epilepsy and sends a control command to the neurostimulation device.

[0149] For another example, if the physiological condition of the brain is insomnia and the first brain state is an insomnia state, the control module determines a sleep aid device that can assist in sleeping based on the insomnia state and sends a control command to the sleep aid device.

[0150] Step 602: The second feedback module receives the control command, intervenes in the physiological condition of the brain based on the control command, and sends feedback information to the control module. The feedback information indicates the intervention of the second feedback module in the physiological condition.

[0151] In step 602, the second feedback module includes a first intervention parameter. Under the triggering of the control command, the second feedback module generates an intervention signal based on the first intervention parameter and transmits the intervention signal to the brain, whereby the intervention signal can intervene in the physiological condition of the brain.

[0152] For example, the neurostimulation device receives a control command, generates a pulse signal based on a first intervention parameter, and sends the pulse signal to the brain.

[0153] For another example, the sleep aid device receives the control command, generates a brain wave signal based on the first intervention parameter, and sends the brain wave signal to the brain.

[0154] The second feedback module may be abnormal, which means that the second feedback device does not intervene in the physiological condition, or the second feedback device incorrectly intervenes in the physiological condition. In order to determine the abnormality of the second feedback module, the second feedback module sends feedback information to the control device.

[0155] In some embodiments, the feedback information includes first indication information, second indication information, or a first intervention parameter. The first indication information is used to indicate that the second feedback device did not intervene in the physiological condition, and the second indication information indicates whether the first intervention parameter and the second intervention parameter are the same. The first intervention parameter is a parameter that the second feedback module is expected to adopt when intervening in the physiological condition, and the second intervention parameter is a parameter actually adopted by the second feedback module to intervene in the physiological condition.

[0156] In some embodiments, referring to FIG. 4 , the second feedback module includes a control drive unit and a monitoring unit. The control drive unit includes a first intervention parameter, and the monitoring unit monitors the output of the control drive unit.

[0157] The control drive unit receives the control command and, triggered by the control command, generates an intervention signal, which is transmitted to the brain. The intervention signal can intervene in the physiological condition of the brain. Alternatively, the control drive unit does not generate the intervention signal after receiving the control command.

[0158] In some embodiments, upon detecting that the control drive unit transmits the intervention signal to the brain, the monitoring unit obtains an intervention parameter of the intervention signal (for ease of description, the intervention parameter of the intervention signal is referred to as the second intervention parameter), and sends feedback information to the control module, where the feedback information includes the second intervention parameter. The first intervention parameter is the desired intervention parameter. Alternatively, the monitoring unit compares the first intervention parameter with the second intervention parameter and sends feedback information to the control module, where the feedback information includes second indication information, where the second indication information indicates whether the first intervention parameter and the second pre-parameter are the same.

[0159] The second intervention parameter may be different from the first intervention parameter, indicating that the intervention signal generated by the control drive unit is different from the expected intervention signal, that is, the second feedback module performs an erroneous intervention on the physiological condition.

[0160] In some embodiments, when the monitoring unit detects that the control drive unit does not transmit the intervention signal to the brain, indicating that the second feedback module does not generate the intervention signal, that is, the second feedback module does not intervene in the physiological condition, the monitoring unit sends feedback information to the control module, where the feedback information includes first indication information, and the first indication information indicates that the second feedback module does not intervene in the physiological condition.

[0161] Step 603: The control module receives the feedback information and determines an abnormality in the second feedback module based on the feedback information.

[0162] In some embodiments, the feedback information includes first indication information, and the control module determines, based on the first indication information, that the abnormality occurring in the second feedback module is that the second feedback module does not intervene in the physiological condition.

[0163] In some embodiments, the feedback information includes second indication information, and the control module determines, based on the second indication information, that the abnormality occurring in the second feedback module is an erroneous intervention of the second feedback module in the physiological condition.

[0164] In some embodiments, the feedback information includes a second intervention parameter. The control module compares the first intervention parameter and the second intervention parameter to obtain a comparison result. When the comparison result shows that the first intervention parameter and the second intervention parameter are different, it is determined that the abnormality in the second feedback module is due to the second feedback module making an erroneous intervention in the physiological condition.

[0165] In some embodiments, the control module may display abnormalities occurring in the second feedback module to the user.

[0166] In some embodiments, when intervening in the physiological condition, the second feedback module may further send second information to the signal acquisition module, where the second information instructs the second feedback module to intervene in the physiological condition.

[0167] In an embodiment of the present application, the signal acquisition module collects a first neural signal from the brain, converts the first neural signal into a first signal, and sends the first signal to the control module. The control module receives the first signal, obtains the state of the first signal, and when the state of the first signal is normal, obtains the first brain state based on the first signal, and sends a control command to the second feedback module based on the first brain state. The second feedback module receives the control command and may intervene in the physiological condition of the brain based on the control command, or may not intervene in the physiological condition of the brain. The second feedback module sends feedback information to the control module, and the feedback information indicates the situation in which the second feedback module intervenes in the physiological condition. The control module determines the abnormality of the second feedback module based on the feedback information. Thus, the abnormality can be located.

[0168] Referring to FIG7 , an embodiment of the present application provides an information processing method 700 , which is applied to the brain-computer system 100 shown in FIG1 , FIG2 , FIG3 , or FIG4 . When the second feedback module intervenes in a physiological condition occurring in the brain, the signal acquisition module can use the method 700 to perform a first operation. The method 700 includes the following process.

[0169] Step 701: The signal acquisition module receives second information, and the second information instructs the second feedback module to intervene in a physiological condition occurring in the brain, where the physiological condition is obtained based on the neural signal of the brain acquired by the signal acquisition module.

[0170] The control module obtains a first brain state through steps 501-506 of method 500 shown in FIG5 . The first brain state reflects a physiological condition of the brain and sends a control command to the second feedback module. The second feedback module receives the control command, intervenes in the physiological condition based on the control command, and sends second information to the signal acquisition module.

[0171] In some embodiments, referring to FIG. 4 , the second feedback module includes a control drive unit and a monitoring unit. The control drive unit includes a first intervention parameter, and the monitoring unit monitors the output of the control drive unit.

[0172] The control drive unit receives the control command and, when triggered by the control command, generates an intervention signal and transmits the intervention signal to the brain. The intervention signal can intervene in the physiological condition of the brain. The monitoring unit, upon detecting that the control drive unit transmits the intervention signal to the brain, transmits second information to the signal acquisition module.

[0173] Because the control drive unit transmits this intervention signal to the brain, it may affect the neural signals collected by the signal acquisition module, potentially causing them to include significant noise. This noise in the first signal converted from the neural signal may affect the accuracy of the control module's ability to determine the brain state based on the first signal, potentially causing the second feedback module to perform an erroneous intervention.

[0174] Step 702: The signal acquisition module performs a first operation based on the second information, where the first operation is used to reduce the impact of the intervention operation performed by the second feedback module on the acquisition of the neural signal.

[0175] In some embodiments, the first operation includes one or more of the following: turning off the function of collecting the neural signal, or reducing the amplification factor of the neural signal.

[0176] In step 702, the signal acquisition module stops collecting neural signals from the brain, thereby turning off the function of collecting the neural signals. Alternatively,

[0177] The signal acquisition module reduces the amplification factor of the neural signal. When the signal acquisition module acquires the neural signal, it converts the neural signal into a first signal based on the reduced amplification factor. The amplitude of the first signal may be less than the second amplitude threshold, causing the first signal to be abnormal. In this way, the control module stops controlling the second feedback module to continue intervening in the physiological condition of the brain, thereby preventing the second feedback module from making an erroneous intervention.

[0178] In an embodiment of the present application, the signal acquisition module collects a first neural signal from the brain, converts the first neural signal into a first signal, and sends the first signal to the control module. The control module receives the first signal, obtains the state of the first signal, and when the state of the first signal is normal, obtains the first brain state based on the first signal, and sends a control command to the second feedback module based on the first brain state. The second feedback module receives the control command and may intervene in the physiological condition of the brain based on the control command. The second feedback module sends a second information to the signal acquisition module and performs a first operation based on the second information. The first operation includes one or more of the following: turning off the function of collecting the neural signal, or reducing the amplification factor of the neural signal. This allows the control module to stop controlling the second feedback module to continue intervening in the physiological condition of the brain, avoiding erroneous intervention by controlling the second feedback module.

[0179] 8 , an embodiment of the present application provides an information processing device 800 , which is applied to a brain-computer system. The brain-computer system includes the device 800 , and the device 800 includes:

[0180] The receiving unit 801 is configured to receive a first signal sent by the signal acquisition module, where the first signal is obtained by converting a first neural signal of the brain by the signal acquisition module based on a first configuration parameter;

[0181] The sending unit 802 is configured to send first information when the state of the first signal is abnormal, where the first information instructs the signal acquisition module to adjust the first configuration parameter to the second configuration parameter.

[0182] Optionally, the detailed implementation process of the receiving unit 801 receiving the first signal refers to the relevant content of step 503 shown in FIG5 , which will not be described in detail here.

[0183] Optionally, the detailed implementation process of the sending unit 802 sending the first information refers to the relevant content of step 504 shown in Figure 5, which will not be described in detail here.

[0184] Optionally, the abnormal state includes at least one of signal saturation, signal amplitude being too small, and oscillation.

[0185] Optionally, the device 800 further includes a threshold determination unit, a mode determination unit, and a storage unit (not shown in the figure);

[0186] The threshold judgment unit is configured to compare an amplitude threshold with the amplitude of the first signal to obtain a comparison result, the amplitude threshold including a first amplitude threshold and a second amplitude threshold, the first amplitude threshold being greater than the second amplitude threshold, the comparison result being stored in a storage unit, and determining a state of the first signal when the comparison result shows that the amplitude of the first signal exceeds the first amplitude threshold, the state of the first signal including signal saturation, wherein the storage unit stores a plurality of comparison results, the plurality of comparison results being comparison results obtained by the threshold judgment unit at different times;

[0187] The mode judgment unit is used to determine that the state of the first signal also includes an oscillation state when it is determined based on the storage unit that signal saturation periodically occurs, or to determine that the state of the first signal includes a signal amplitude too small state when it is determined based on the storage unit that multiple consecutive comparison results are that the amplitude of the first signal is lower than the second amplitude threshold.

[0188] Optionally, the signal acquisition module includes a main control unit, a computing unit, and a signal conversion unit, and the first signal is obtained by the signal conversion unit converting the first neural signal based on the first configuration parameter;

[0189] The first information instructs the main control unit to send an adjustment method to the computing unit based on the state;

[0190] The adjustment mode instructs the computing unit to adjust the first configuration parameter to the second configuration parameter.

[0191] Optionally, the apparatus 800 further includes:

[0192] A first processing unit 803 is configured to obtain a brain instruction based on the first signal when the first signal is in a normal state, the brain instruction indicating an action that the brain needs to perform;

[0193] The first processing unit 803 is further configured to control the feedback module to implement the action based on the brain instruction.

[0194] Optionally, the detailed implementation process of the first processing unit 803 obtaining the brain instruction based on the first signal can be found in the relevant content of step 506 shown in Figure 5, which will not be described in detail here.

[0195] Optionally, the detailed implementation process of the first processing unit 803 controlling the feedback module to implement the action based on the brain command can be found in the relevant content of step 507 shown in FIG5 , which will not be described in detail here.

[0196] Optionally, the apparatus 800 further includes:

[0197] The second processing unit 804 is configured to obtain a first brain state based on the first signal when the state of the first signal is normal, where the first brain state is used to reflect a physiological condition of the brain;

[0198] The second processing unit 804 is further configured to control the feedback module based on the first brain state to intervene in the physiological condition.

[0199] Optionally, for the detailed implementation process of the second processing unit 804 acquiring the first brain state based on the first signal, please refer to the relevant content of step 506 shown in Figure 5, which will not be described in detail here.

[0200] Optionally, the detailed implementation process of the second processing unit 804 intervening in the physiological condition based on the first brain state control feedback module can be found in the relevant content of step 507 shown in FIG5 , which will not be described in detail here.

[0201] Optionally, the receiving unit 801 is further configured to receive a second signal, where the second signal is obtained by converting a second neural signal generated by the brain by the signal acquisition module, and the second neural signal is acquired after the first neural signal is acquired;

[0202] The second processing unit 804 is further configured to obtain a second brain state based on the second signal;

[0203] The second processing unit 804 is further configured to adjust an intervention parameter of the feedback module when it is determined based on the second brain state that the brain still has a physiological condition, where the intervention parameter is a parameter used by the feedback module to intervene in the physiological condition.

[0204] Optionally, the detailed implementation process of the receiving unit 801 receiving the second signal refers to the relevant content of step 507 shown in FIG5 , which will not be described in detail here.

[0205] Optionally, for the detailed implementation process of the second processing unit 804 acquiring the second brain state based on the second signal, please refer to the relevant content of step 507 shown in Figure 5, which will not be described in detail here.

[0206] Optionally, the detailed implementation process of the second processing unit 804 adjusting the intervention parameters of the feedback module can be found in the relevant content of step 507 shown in FIG5 , which will not be described in detail here.

[0207] Optionally, the apparatus 800 and the signal acquisition module are integrated into one device.

[0208] In an embodiment of the present application, the control module receives a first signal sent by the signal acquisition module, and the first signal is obtained by the signal acquisition module converting the first neural signal of the brain based on the first configuration parameter. When the state of the first signal is abnormal, the control module sends a first message, and the first message instructs the signal acquisition module to adjust the first configuration parameter to the second configuration parameter. Since the control module sends the first message when the state of the first signal is abnormal, and the first message instructs the signal acquisition module to adjust the first configuration parameter to the second configuration parameter, reasonable configuration parameters can be obtained by adjustment, so that the signal acquisition module obtains the first signal of normal state based on the reasonable configuration parameters, thereby ensuring that the brain command or brain state can be obtained based on the first signal, and ensuring that the feedback module can be controlled.

[0209] 9 , an embodiment of the present application provides an information processing device 900 , which is applied to a brain-computer system. The brain-computer system includes the device 900 , and the device 900 includes:

[0210] The sending unit 901 is used to send a control command, wherein the control command instructs the feedback module to intervene in the physiological condition of the brain;

[0211] A receiving unit 902 is configured to receive feedback information indicating how the feedback module intervenes in the physiological condition;

[0212] The processing unit 903 is configured to determine an abnormality in the feedback module based on the feedback information.

[0213] Optionally, the detailed implementation process of the sending unit 901 sending the control command can be found in the relevant content of step 601 shown in FIG6 , which will not be described in detail here.

[0214] Optionally, the detailed implementation process of the receiving unit 902 receiving the feedback information refers to the relevant content of step 603 shown in FIG6 , which will not be described in detail here.

[0215] Optionally, the detailed implementation process of the processing unit 903 determining the abnormality occurring in the feedback module based on the feedback information refers to the relevant content of step 603 shown in FIG6 , which will not be described in detail here.

[0216] Optionally, the abnormality means that the feedback module does not intervene in the physiological condition, or the abnormality means that the feedback module incorrectly intervenes in the physiological condition.

[0217] Optionally, the abnormality refers to an incorrect intervention of the physiological condition by the feedback module, and the feedback information indicates whether the first intervention parameter and the second intervention parameter are the same, the first intervention parameter is a parameter that the feedback module is expected to adopt when intervening in the physiological condition, and the second intervention parameter is a parameter actually adopted by the feedback module when intervening in the physiological condition;

[0218] The processing unit 903 is configured to determine that the feedback module performs an incorrect intervention on the physiological condition when it is determined based on the feedback information that the first intervention parameter and the second intervention parameter are different.

[0219] Optionally, the feedback information includes the second intervention parameter, or the feedback module includes the first intervention parameter, and the feedback information includes a comparison result of the first intervention parameter and the second intervention parameter by the feedback module.

[0220] Optionally, the feedback module includes a control drive unit and a monitoring unit; the control drive unit is used to intervene in the physiological condition; the monitoring unit is used to obtain a second intervention parameter and send feedback information when it monitors that the control drive unit intervenes in the physiological condition, the feedback information includes the second intervention parameter, or compare the first intervention parameter and the second intervention parameter.

[0221] In an embodiment of the present application, the control module sends a control command instructing the feedback module to intervene in a physiological condition occurring in the brain. The control module receives feedback information indicating whether the feedback module has intervened in the physiological condition. The control module determines an abnormality occurring in the feedback module based on the feedback information. The feedback module sends feedback information to the control module indicating whether the feedback module has intervened in the physiological condition. The control module determines an abnormality occurring in the feedback module based on the feedback information, thereby locating the abnormality.

[0222] 10 , an embodiment of the present application provides an information processing device 1000 , wherein the device 1000 is applied to a brain-computer system. The brain-computer system includes the device 1000 , and the device 1000 includes:

[0223] A receiving unit 1001 is configured to receive second information, the second information instructing the feedback module to intervene in a physiological condition occurring in the brain, the physiological condition being obtained based on neural signals of the brain collected by the apparatus 1000;

[0224] The processing unit 1002 is configured to perform a first operation based on the second information, where the first operation is configured to reduce the impact of the intervention operation performed by the feedback module on the collected neural signal.

[0225] Optionally, the detailed implementation process of the receiving unit 1001 receiving the second information refers to the relevant content of step 701 shown in FIG7 , which will not be described in detail here.

[0226] Optionally, for the detailed implementation process of the processing unit 1002 performing the first operation based on the second information, please refer to the relevant content of step 702 shown in Figure 7, which will not be described in detail here.

[0227] Optionally, the first operation includes one or more of the following: turning off the function of collecting neural signals, or reducing the amplification factor of the neural signals.

[0228] In an embodiment of the present application, the feedback module sends second information to the signal acquisition module, and performs a first operation based on the second information. The first operation includes one or more of the following: disabling the function of acquiring the neural signal, or reducing the amplification factor of the neural signal. This allows the control module to stop the feedback module from continuing to intervene in the brain's physiological conditions, thereby preventing the feedback module from making erroneous interventions.

[0229] Referring to Figure 11 , an embodiment of the present application provides a schematic diagram of an information processing apparatus 1100 . The apparatus 1100 may be the control module in any of the above embodiments. The apparatus 1100 includes at least one processor 1101 , an internal connection 1102 , a memory 1103 , and at least one transceiver 1104 .

[0230] The device 1100 is a hardware structure device that can be used to implement the functional modules in the device 800 shown in Figure 8. For example, those skilled in the art can imagine that the first processing unit 803 and the second processing unit 804 in the device 800 shown in Figure 8 can be implemented by the at least one processor 1101 calling the code in the memory 1103, and the receiving unit 801 and the sending unit 802 in the device 800 shown in Figure 8 can be implemented by the transceiver 1104. Or,

[0231] The apparatus 1100 is a hardware structured apparatus that can be used to implement the functional modules in the apparatus 900 shown in FIG9 . For example, those skilled in the art will appreciate that the processing unit 903 in the apparatus 900 shown in FIG9 can be implemented by the at least one processor 1101 calling code in the memory 1103 , and the sending unit 901 and the receiving unit 902 in the apparatus 900 shown in FIG9 can be implemented by the transceiver 1104 .

[0232] Optionally, the device 1100 may also be used to implement the functions of the control module in any of the above embodiments.

[0233] Optionally, the processor 1101 may be a general-purpose central processing unit (CPU), a network processor (NP), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the present application.

[0234] The internal connection 1102 may include a path for transmitting information between the components. Optionally, the internal connection 1102 is a single board or a bus.

[0235] The transceiver 1104 is used to communicate with other devices or communication networks.

[0236] The memory 1103 may be a read-only memory (ROM) or other static storage device capable of storing static information and instructions, a random access memory (RAM) or other dynamic storage device capable of storing information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and capable of being accessed by a computer, but not limited thereto. The memory may be independent and connected to the processor via a bus. The memory may also be integrated with the processor.

[0237] The memory 1103 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 1101. The processor 1101 is used to execute the application code stored in the memory 1103 and cooperate with at least one transceiver 1104, so that the device 1100 can implement the functions of the method of the present invention.

[0238] In a specific implementation, as an embodiment, the processor 1101 may include one or more CPUs, such as CPU0 and CPU1 in FIG11 .

[0239] In a specific implementation, as an embodiment, the apparatus 1100 may include multiple processors, such as the processor 1101 and the processor 1107 in FIG11 . Each of these processors may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. The processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0240] Referring to Figure 12 , an embodiment of the present application provides a schematic diagram of an information processing apparatus 1200 . The apparatus 1200 may be the signal acquisition module in any of the above embodiments. The apparatus 1200 includes at least one processor 1201 , an internal connection 1202 , a memory 1203 , and at least one transceiver 1204 .

[0241] The apparatus 1200 is a hardware structured apparatus that can be used to implement the functional modules in the apparatus 1000 shown in FIG10 . For example, those skilled in the art will appreciate that the processing unit 1002 in the apparatus 1000 shown in FIG10 can be implemented by the at least one processor 1201 calling code in the memory 1203 , and the receiving unit 1001 in the apparatus 1000 shown in FIG10 can be implemented by the transceiver 1204 .

[0242] Optionally, the device 1200 may also be used to implement the functions of the signal acquisition module in any of the above embodiments.

[0243] Optionally, the processor 1201 may be a general-purpose central processing unit (CPU), a network processor (NP), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the present application.

[0244] The internal connection 1202 may include a path for transmitting information between the components. Optionally, the internal connection 1202 is a single board or a bus.

[0245] The transceiver 1204 is used to communicate with other devices or communication networks.

[0246] The memory 1203 may be a read-only memory (ROM) or other static storage device capable of storing static information and instructions, a random access memory (RAM) or other dynamic storage device capable of storing information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and capable of being accessed by a computer, but not limited thereto. The memory may be independent and connected to the processor via a bus. The memory may also be integrated with the processor.

[0247] The memory 1203 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 1201. The processor 1201 is used to execute the application code stored in the memory 1203 and cooperate with at least one transceiver 1204, so that the device 1200 can implement the functions of the method of the present invention.

[0248] In a specific implementation, as an embodiment, the processor 1201 may include one or more CPUs, such as CPU0 and CPU1 in FIG12 .

[0249] In a specific implementation, as an embodiment, the apparatus 1200 may include multiple processors, such as the processor 1201 and the processor 1207 in FIG12 . Each of these processors may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. The processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0250] Those skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware, or by a program to instruct the relevant hardware, and the program may be stored in a computer-readable storage medium, which may be a read-only memory, a disk, or an optical disk, etc.

[0251] The above description is merely an optional embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method of information processing, characterized in that: The method is applied to a brain-computer system, the brain-computer system includes a control module, and the method includes: The control module receives a first signal sent by the signal acquisition module, where the first signal is obtained by the signal acquisition module converting a first neural signal of the brain based on a first configuration parameter; When the state of the first signal is abnormal, the control module sends first information, where the first information instructs the signal acquisition module to adjust the first configuration parameter to a second configuration parameter.

2. The method according to claim 1, characterized in that The abnormal state includes at least one of signal saturation, signal amplitude too small state and oscillation state.

3. The method according to claim 1, characterized in that The control module includes a threshold judgment unit, a mode judgment unit and a storage unit; The threshold judgment unit is used to compare an amplitude threshold with the amplitude of the first signal to obtain a comparison result, the amplitude threshold includes a first amplitude threshold and a second amplitude threshold, the first amplitude threshold is greater than the second amplitude threshold, the comparison result is stored in the storage unit, and when the comparison result is that the amplitude of the first signal exceeds the first amplitude threshold, the state of the first signal is determined, the state of the first signal includes signal saturation, wherein the storage unit stores a plurality of comparison results, and the plurality of comparison results are comparison results obtained by the threshold judgment unit at different times; The mode judgment unit is used to determine that the state of the first signal also includes an oscillation state when it is determined based on the storage unit that signal saturation periodically occurs, or to determine that the state of the first signal includes a signal amplitude too small state when it is determined based on the storage unit that multiple consecutive comparison results are that the amplitude of the first signal is lower than the second amplitude threshold.

4. The method according to any one of claims 1 to 3, characterized in that: The signal acquisition module includes a main control unit, a computing unit and a signal conversion unit, and the first signal is obtained by the signal conversion unit converting the first neural signal based on the first configuration parameter; The first information instructs the main control unit to send an adjustment method to the computing unit based on the state; The adjustment method instructs the computing unit to adjust the first configuration parameter to the second configuration parameter.

5. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: When the state of the first signal is normal, the control module obtains a brain instruction based on the first signal, where the brain instruction indicates an action that the brain needs to perform; The control module controls the feedback module to implement the action based on the brain command.

6. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: When the state of the first signal is normal, the control module acquires a first brain state based on the first signal, where the first brain state is used to reflect a physiological condition of the brain; The control module controls a feedback module to intervene in the physiological condition based on the first brain state.

7. The method according to claim 6, characterized in that The method further comprises: The control module receives a second signal, where the second signal is obtained by the signal acquisition module converting a second neural signal generated by the brain, and the second neural signal is acquired after the first neural signal is acquired; The control module acquires a second brain state based on the second signal; When the control module determines that the brain is still experiencing the physiological condition based on the second brain state, the control module adjusts the intervention parameters of the feedback module, where the intervention parameters are parameters used by the feedback module to intervene in the physiological condition.

8. The method according to any one of claims 1 to 7, characterized in that: The control module and the signal acquisition module are integrated into one device.

9. A method of information processing, characterized in that: The method is applied to a brain-computer system, the brain-computer system includes a control module, and the method includes: The control module sends a control command, wherein the control command instructs the feedback module to intervene in the physiological condition occurring in the brain; The control module receives feedback information, the feedback information indicating the intervention of the feedback module on the physiological condition; The control module determines an abnormality occurring in the feedback module based on the feedback information.

10. The method according to claim 9, characterized in that The abnormality refers to that the feedback module does not intervene in the physiological condition, or the abnormality refers to that the feedback module incorrectly intervenes in the physiological condition.

11. The method according to claim 10, characterized in that The abnormality refers to that the feedback module erroneously intervenes in the physiological condition, and the feedback information indicates whether a first intervention parameter and a second intervention parameter are the same, the first intervention parameter is a parameter that the feedback module is expected to adopt to intervene in the physiological condition, and the second intervention parameter is a parameter that the feedback module actually adopts to intervene in the physiological condition; The control module determines an abnormality of the feedback module based on the feedback information, including: The control module determines that the feedback module erroneously intervenes in the physiological condition when it is determined, based on the feedback information, that the first intervention parameter and the second intervention parameter are different.

12. The method according to claim 11, characterized in that The feedback information includes the second intervention parameter, or the feedback module includes the first intervention parameter, and the feedback information includes a comparison result of the feedback module comparing the first intervention parameter with the second intervention parameter.

13. The method according to claim 11, characterized in that The feedback module includes a control drive unit and a monitoring unit; The control drive unit is used to intervene in the physiological condition; The monitoring unit is used to obtain the second intervention parameter and send the feedback information including the second intervention parameter when monitoring that the control drive unit intervenes in the physiological condition, or compare the first intervention parameter with the second intervention parameter.

14. A method of information processing, characterized in that: The method is applied to a brain-computer system, the brain-computer system includes a signal acquisition module, and the method includes: The signal acquisition module receives second information, where the second information instructs the feedback module to intervene in a physiological condition occurring in the brain, where the physiological condition is obtained based on the neural signal of the brain acquired by the signal acquisition module; The signal acquisition module performs a first operation based on the second information, and the first operation is used to reduce the impact of the intervention operation performed by the feedback module on the acquisition of the neural signal.

15. The method according to claim 14, characterized in that The first operation includes one or more of the following: turning off the function of collecting the neural signal, or reducing the amplification factor of the neural signal.

16. An information processing device, characterized in that: The device is applied to a brain-computer system, and the brain-computer system includes the device, and the device includes: A receiving unit, configured to receive a first signal sent by a signal acquisition module, wherein the first signal is obtained by converting a first neural signal of a brain by the signal acquisition module based on a first configuration parameter; A sending unit is used to send first information when the state of the first signal is abnormal, wherein the first information instructs the signal acquisition module to adjust the first configuration parameter to a second configuration parameter.

17. The device according to claim 16, characterized in that The abnormal state includes at least one of signal saturation, signal amplitude too small state and oscillation state.

18. The device according to claim 16, characterized in that The device also includes a threshold determination unit, a mode determination unit and a storage unit; The threshold judgment unit is used to compare an amplitude threshold with the amplitude of the first signal to obtain a comparison result, the amplitude threshold includes a first amplitude threshold and a second amplitude threshold, the first amplitude threshold is greater than the second amplitude threshold, the comparison result is stored in the storage unit, and when the comparison result is that the amplitude of the first signal exceeds the first amplitude threshold, the state of the first signal is determined, the state of the first signal includes signal saturation, wherein the storage unit stores a plurality of comparison results, and the plurality of comparison results are comparison results obtained by the threshold judgment unit at different times; The mode judgment unit is used to determine that the state of the first signal also includes an oscillation state when it is determined based on the storage unit that signal saturation periodically occurs, or to determine that the state of the first signal includes a signal amplitude too small state when it is determined based on the storage unit that multiple consecutive comparison results are that the amplitude of the first signal is lower than the second amplitude threshold.

19. The device according to any one of claims 16 to 18, characterized in that: The signal acquisition module includes a main control unit, a computing unit and a signal conversion unit, and the first signal is obtained by the signal conversion unit converting the first neural signal based on the first configuration parameter; The first information instructs the main control unit to send an adjustment method to the computing unit based on the state; The adjustment method instructs the computing unit to adjust the first configuration parameter to the second configuration parameter.

20. The device according to any one of claims 16 to 19, characterized in that The device also includes: a first processing unit, configured to obtain a brain instruction based on the first signal when the state of the first signal is normal, wherein the brain instruction indicates an action that the brain needs to perform; The first processing unit is further used to control the feedback module to implement the action based on the brain command.

21. The device according to any one of claims 16 to 19, characterized in that The device also includes: a second processing unit, configured to obtain a first brain state based on the first signal when the state of the first signal is normal, wherein the first brain state is used to reflect a physiological condition of the brain; The second processing unit is further used to intervene in the physiological condition based on the first brain state control feedback module.

22. The device according to claim 21, characterized in that The receiving unit is further used to receive a second signal, where the second signal is obtained by the signal acquisition module converting a second neural signal generated by the brain, and the second neural signal is acquired after the first neural signal is acquired; The second processing unit is further configured to obtain a second brain state based on the second signal; The second processing unit is further configured to adjust the intervention parameters of the feedback module when it is determined based on the second brain state that the brain is still experiencing the physiological condition, wherein the intervention parameters are the parameters used by the feedback module to intervene in the physiological condition.

23. The device according to any one of claims 16 to 22, characterized in that The device and the signal acquisition module are integrated into one equipment.

24. An information processing device, characterized in that: The device is applied to a brain-computer system, and the brain-computer system includes the device, and the device includes: A sending unit, used for sending a control command, wherein the control command instructs the feedback module to intervene in a physiological condition occurring in the brain; a receiving unit, configured to receive feedback information, wherein the feedback information indicates a situation in which the feedback module intervenes in the physiological condition; A processing unit is used to determine an abnormality that occurs in the feedback module based on the feedback information.

25. The device according to claim 24, characterized in that The abnormality refers to that the feedback module does not intervene in the physiological condition, or the abnormality refers to that the feedback module incorrectly intervenes in the physiological condition.

26. The device according to claim 25, characterized in that The abnormality refers to that the feedback module erroneously intervenes in the physiological condition, and the feedback information indicates whether a first intervention parameter and a second intervention parameter are the same, the first intervention parameter is a parameter that the feedback module is expected to adopt to intervene in the physiological condition, and the second intervention parameter is a parameter that the feedback module actually adopts to intervene in the physiological condition; The processing unit is configured to determine that the feedback module erroneously intervenes in the physiological condition when it is determined based on the feedback information that the first intervention parameter and the second intervention parameter are different.

27. The device according to claim 26, characterized in that The feedback information includes the second intervention parameter, or the feedback module includes the first intervention parameter, and the feedback information includes a comparison result of the feedback module comparing the first intervention parameter with the second intervention parameter.

28. The device according to claim 26, characterized in that The feedback module includes a control drive unit and a monitoring unit; The control drive unit is used to intervene in the physiological condition; The monitoring unit is used to obtain the second intervention parameter and send the feedback information including the second intervention parameter when monitoring that the control drive unit intervenes in the physiological condition, or compare the first intervention parameter with the second intervention parameter.

29. An information processing device, characterized in that: The device is applied to a brain-computer system, and the brain-computer system includes the device, and the device includes: a receiving unit, configured to receive second information, wherein the second information instructs the feedback module to intervene in a physiological condition occurring in the brain, wherein the physiological condition is obtained based on a neural signal of the brain collected by the device; A processing unit is used to perform a first operation based on the second information, wherein the first operation is used to reduce the impact of the intervention operation performed by the feedback module on the acquisition of the neural signal.

30. The device according to claim 29, characterized in that The first operation includes one or more of the following: turning off the function of collecting the neural signal, or reducing the amplification factor of the neural signal.

31. A chip, characterized in that: The chip comprises a program code, which, when executed on the chip, enables the chip to execute the method according to any one of claims 1 to 15.

32. An information processing system, characterized in that: The system comprises the device according to any one of claims 16 to 28 and the device according to claim 29 or 30.

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