CN107468235B - Nerve regulation and control detection integrated system and method - Google Patents
Nerve regulation and control detection integrated system and method Download PDFInfo
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Abstract
The present disclosure provides a neuromodulation detection integrated system, comprising: the device comprises a regulation event generation module, a neural stimulation control module and a neural stimulation control module, wherein the regulation event generation module is used for generating a neural regulation event and finishing the neural stimulation regulation and control of a detected object, and the neural regulation event comprises a neural regulation signal; and the data processing module is used for receiving the neural signals and the neural regulation and control signals, and synchronously analyzing and processing the neural signals and the neural regulation and control signals to acquire the time sequence relation between the neural signals and the neural regulation and control signals. The disclosure also provides a neural regulation and control detection integration method. The integrated system and the method for detecting the neural regulation can effectively meet the requirement of the neural regulation, simplify the experiment operation and improve the experiment efficiency.
Description
Technical Field
The disclosure belongs to the technical field of detection and regulation of neural signals in the biomedical industry, and particularly relates to a neural regulation and control detection integrated system and method.
Background
The nerve regulation and control technology is a widely applied research means in the field of neuroscience at present, and has important significance for researching neural circuit connection, animal behavior research, nervous system mechanism, nervous system pathogenesis and the like by combining a nerve information detection method.
At present, because the neural regulation needs to be widely performed on various levels from macro to mesoscopic to micro and the like, when the neuroscience research is performed, a plurality of software and hardware devices need to be jointly used for performing experiments. On one hand, because the software styles of the manufacturers of the experimental equipment are different, the operation methods are different, and the software needs to be switched back and forth when the software is used, the experimental operation is complicated, the experimental preparation time is increased, and the experimental efficiency is reduced; on the other hand, when various kinds of software are used simultaneously for experiments, the synchronism of operation and data is difficult to guarantee. Therefore, the neural regulation and detection integrated software system capable of integrating a plurality of neural regulation and detection functions has great significance for neuroscience research.
Disclosure of Invention
Technical problem to be solved
In view of the above technical problems, the present disclosure provides a neuromodulation detection integrated system and method, which can effectively meet the neuromodulation requirement, simplify the experimental operation, and improve the experimental efficiency.
(II) technical scheme
According to an aspect of the present disclosure, there is provided a neuromodulation detection integrated system, comprising: the device comprises a regulation event generation module, a neural stimulation control module and a neural stimulation control module, wherein the regulation event generation module is used for generating a neural regulation event and finishing the neural stimulation regulation and control of a detected object, and the neural regulation event comprises a neural regulation signal; and the data processing module is used for receiving the neural signals and the neural regulation and control signals, and synchronously analyzing and processing the neural signals and the neural regulation and control signals to acquire the time sequence relation between the neural signals and the neural regulation and control signals.
In some embodiments of the present disclosure, the regulatory event generating module is for generating three types of neuromodulation events, the regulatory event generating module comprising: the electrical stimulation event generating unit is used for generating an electrical stimulation event; a light regulation event generation unit for generating a light regulation event; and a chemical stimulation event generation unit for generating a chemical stimulation event.
In some embodiments of the present disclosure, the electrical stimulation event generating unit is configured to generate voltage and/or current stimulation, and set the number of times of stimulation and waveforms, where the waveforms include sine waves, square waves, sawtooth waves, triangular waves, time delays, and combinations thereof.
In some embodiments of the present disclosure, the light regulation event generation unit is configured to select different light sources and directly configure output light intensity by indexing the light intensity and voltage-current comparison table of the light sources with different colors on the basis of voltage or current stimulation of the electrical stimulation event generation unit.
In some embodiments of the present disclosure, the chemical stimulation event generation unit comprises: the parameter configuration subunit is used for setting stimulation parameters, and the stimulation parameters comprise a stimulation substance, an injection rate and an injection target type; the control subunit is used for controlling the state of applying the chemical stimulation in real time; and a status subunit for displaying the chemical stimulation implementation status in real time.
In some embodiments of the present disclosure, the integrated neuromodulation detection system further comprises: and the signal reading module is used for synchronously reading the nerve electrical signals and the neurochemical signals in the nerve regulation and control signals and the nerve signals in real time and sending the read signals to the data processing module.
In some embodiments of the present disclosure, the data processing module includes: the preprocessing unit is used for filtering and separating the neural signals and the neural regulation and control signals sent by the signal reading module and the regulation and control event generating module in real time; and the characteristic extraction and synchronous analysis unit is used for extracting the time domain characteristics and the waveforms of the signals in real time, automatically identifying the electrical stimulation and light control events, and synchronously analyzing the correlation between the detected signals and the control signals in an off-line manner.
In some embodiments of the present disclosure, the integrated neuromodulation detection system further comprises: and the data display and storage module is connected with the data processing module and is used for receiving the neural signals and the neural regulation and control signals sent by the data processing module and synchronously displaying and storing the neural signals and the neural regulation and control signals.
In some embodiments of the present disclosure, the data display storage module comprises: the data display unit comprises a synchronous display interface and is used for realizing human-computer interaction; the display interface adopts a multi-window independent synchronous display of the detected nerve signals and the nerve regulation and control signals; and the data storage unit is used for storing the detected original signals, the characteristic signals or the regulation and control events.
According to another aspect of the present disclosure, there is also provided a neuromodulation detection integrated method, comprising: generating a neural modulation event to modulate neural stimulation of the subject; and synchronously analyzing and processing the detected neural signals and the neural regulation signals of the neural regulation events to obtain the time sequence relation between the neural signals and the neural regulation signals.
(III) advantageous effects
According to the technical scheme, the integrated system and the method for nerve regulation and detection disclosed by the invention have at least one of the following beneficial effects:
(1) the data processing module is used for synchronously analyzing and processing the received neural signals and the neural regulation and control signals, so that the time sequence relation between the neural signals and the neural regulation and control signals is obtained, the synchronism of data is ensured, and the data processing module has great significance for the research of neuroscience.
(2) The nerve regulation and control integrated system provided by the disclosure comprises a regulation and control event generation module, wherein the module has the generation functions of a chemical stimulation event, an electrical stimulation event and a light regulation and control event, can provide a nerve signal generation function for neuroscience research from macro to mesoscopic to micro and other layers, and can effectively meet the requirement of nerve regulation and control; the unified operation method and the interface provided for the user can effectively simplify the experiment operation and improve the experiment efficiency.
(3) The neural regulation and control integrated system that provides in this disclosure adopts signal reading module to read neural signal and neural regulation and control signal synchronization, adopts data display memory module to carry out synchronous display and storage to neural signal and neural regulation and control signal, has integrateed neural regulation and control signal and the neural signal synchronous processing and the demonstration that detects, can avoid because when using multiple module to carry out the experiment simultaneously, the problem that the synchronism of operation and data that leads to is all difficult to guarantee.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent from the accompanying drawings. Like reference numerals refer to like elements throughout the several views of the drawings. The drawings are not intended to be to scale as practical, emphasis instead being placed upon illustrating the subject matter of the present disclosure.
Fig. 1 is a block diagram of an integrated neuromodulation detection system according to an embodiment of the disclosure.
Fig. 2 is a flowchart of a waveform setting method of an electrical stimulation event generating unit according to an embodiment of the disclosure.
FIG. 3 is a schematic diagram of a panel of an optical control event generating unit according to an embodiment of the disclosure.
Fig. 4 is a schematic diagram of a panel of a configuration of a chemical stimulation event generating unit according to an embodiment of the disclosure.
Fig. 5 is a flow chart of a method for neural-electric signal separation and action potential extraction according to an embodiment of the disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
It should be noted that in the drawings or description, the same drawing reference numerals are used for similar or identical parts. Implementations not depicted or described in the drawings are of a form known to those of ordinary skill in the art. Additionally, while exemplifications of parameters including particular values may be provided herein, it is to be understood that the parameters need not be exactly equal to the respective values, but may be approximated to the respective values within acceptable error margins or design constraints. Directional phrases used in the embodiments, such as "upper," "lower," "front," "rear," "left," "right," and the like, refer only to the orientation of the figure. Accordingly, the directional terminology used is intended to be in the nature of words of description rather than of limitation.
The present disclosure provides a neural regulation and control detection integrated system, which can realize unified operation and interface, including:
the control event generation module can generate a nerve control event according to the experiment requirement, preferably generate three different types of nerve control events (an electrical stimulation event, a light control event and a chemical stimulation event), and transmit the events to the nerve control detector to complete the nerve stimulation control of the detected object; wherein the nerve regulation event comprises a nerve regulation signal, regulation time and the like; the nerve regulation and control signal comprises a nerve light regulation and control signal, a nerve electricity regulation and control signal and a neurochemical regulation and control signal; the nerve regulation and control detector is used for detecting the nerve signals of the detected object and applying nerve regulation and control events to the detected object;
and the data processing module is used for simultaneously analyzing and processing the detected neural signals and the neural regulation and control signals and transmitting the processing result to the data display and storage module.
Wherein the regulatory event generation module comprises:
the electric stimulation event generating unit is used for generating an electric stimulation event, can select a voltage or current mode, can generate various basic waveforms such as sine waves, square waves, sawtooth waves, triangular waves and time delay, can realize the combination of the basic waveforms, and simultaneously supports the reading of any waveform from a file;
the light regulation and control event generation unit is used for generating a light regulation and control event, can support selection of different regulation and control light sources, and can realize setting of light intensity;
a chemical stimulation event generation unit for generating a chemical stimulation event capable of supporting control of a rate, a target volume, or a target duration of application of the chemical stimulation while monitoring a chemical stimulation implementation state in real time.
Further, the integrated neuromodulation detection system further comprises:
the data display and storage module is used for finishing the functions of man-machine interaction, signal display, data storage and the like;
the data display storage module comprises:
the data display unit provides a synchronous display interface for the detected regulating and controlling signals, can synchronously or independently display the detected neural signals and the generated neural regulating and controlling events according to the requirements of users, and can complete the human-computer interaction function;
the data storage unit is used for storing detected original signals, characteristic signals or regulation events and the like according to the selection of a user; the raw signal is an unprocessed neural signal and is used for off-line processing; the characteristic signals include nerve action potentials, field potentials, and the like.
Specifically, the data display and storage module can be connected with the nerve regulation and control detector, and human-computer interaction operation is performed on the nerve regulation and control detector through the data display and storage module interface.
Further, the integrated neuromodulation detection system further comprises:
the signal reading module adopts a ping-pong buffer mechanism, can synchronously read the nerve electrical signal, the neurochemical signal and the nerve regulation and control signal from the nerve regulation and control detector in real time, and transmits the data to the data processing module.
The data processing module comprises:
the preprocessing unit can realize real-time filtering and signal separation of data transmitted by the signal reading module and the regulation and control event generation module;
the characteristic extraction and synchronous analysis unit can extract time domain characteristics and waveforms of signals in real time and can automatically identify electrical stimulation and light control events; the method has the functions of analyzing and detecting the correlation between signals and regulation signals synchronously in an off-line manner, and the like;
preferably, for a chemical stimulation event: the neurochemical regulation and control signal can be directly sent to the nerve regulation and control detector through the regulation and control event generation module and is output to a tested object through the nerve regulation and control detector so as to complete the nerve stimulation regulation and control of the tested object; meanwhile, the neurochemical regulation and control signal is sent to the data processing module through the regulation and control event generation module for the data processing module to analyze and process. For electrical stimulation events and light-modulated events: taking an electrical stimulation event as an example, the regulation event generation module inputs a corresponding regulation waveform into the nerve regulation and control detector, the nerve regulation and control detector conditions, converts and power-amplifies the regulation and control waveform, and outputs the regulation and control waveform to the detected object, and meanwhile, a collection card arranged in the nerve regulation and control detector collects a regulation and control signal output by the instrument and a detected nerve signal, sends the regulation and control signal and the detected nerve signal to the signal reading module, and sends the regulation and control signal and the detected nerve signal to the data processing module through the signal reading module for analysis and processing by the data processing module.
In addition, the present disclosure also provides a neural regulation and detection integration method, including:
generating a neural modulation event to modulate neural stimulation of the subject;
and synchronously analyzing and processing the detected neural signals and the neural regulation signals of the neural regulation events to obtain the time sequence relation between the neural signals and the neural regulation signals.
In one exemplary embodiment of the present disclosure, a neuromodulation detection integrated system is presented. Fig. 1 is a schematic diagram of a neuromodulation detection integrated system according to an embodiment of the disclosure. As shown in fig. 1, the integrated neuromodulation and detection system of the present embodiment includes a modulation event generation module, a signal reading module, a data processing module, and a data display and storage module, and is implemented by using a multi-thread programming manner. The control event generation module can generate neural control events from three levels of macroscopical (chemical stimulation), mesoscopic (electrical stimulation event) and microscopic (optical control), transmits the events to the neural control detector, completes neural stimulation control on a testee, and simultaneously transmits configuration parameters to the data processing module; the signal reading module simultaneously reads the detected nerve signals (nerve electrical signals and neurochemical signals) and the nerve regulation and control signals from the nerve regulation and control detector and transmits the signals to the data processing module; the data processing module processes the detected neural signals and the neural regulation and control signals in two steps and transmits the processing result to the data display and storage module; and the data display and storage module synchronously or independently displays the detected neural signals and the generated regulating and controlling events according to the requirements of the user, and realizes the storage of data and the completion of a human-computer interaction function. The respective components will be described in detail below.
The regulation and control event generation module in the neural regulation and control detection integrated system comprises: the device comprises an electrical stimulation event generating unit, a light control event generating unit and a chemical stimulation event generating unit, wherein each unit is distributed with an independent thread. The electric stimulation event generation unit supports two stimulation modes of voltage stimulation and current stimulation, can generate various basic waveforms such as sine waves, square waves, sawtooth waves, triangular waves and time delay and realize the combination of the basic waveforms, and simultaneously supports the reading of any waveform from a file; the stimulation frequency can be set, and the set waveform can be displayed on the interface in real time. The waveform editing output flow chart is shown in fig. 2: firstly, a user sets a stimulation mode, selects a required waveform and sets waveform parameters such as amplitude, frequency, cycle number and the like, then can select to add other waveforms to form a group of combined waveforms, and displays the combined waveforms in real time on an interface after setting the output cycle number of the combined waveforms. At the moment, if the waveform is set wrongly, the user can select to reset all the parameters to a default state and restart to set a new waveform; if no errors are found, the waveform can be downloaded to the instrument output to produce a true electrical stimulation event. In particular, the waveform of the electrical stimulation event is simultaneously transmitted to the data processing module.
The light control event generating unit of the control event generating module in the integrated neural control and detection system in the embodiment of the disclosure is realized by indexing the light intensity and current comparison table of light sources with different colors on the basis of current stimulation of the electrical stimulation event generating unit, and the light control configuration panel is as shown in fig. 3. Different light sources can be selected and the output light intensity can be directly configured; in the disclosed embodiment, the light source may be selected from yellow light and blue light, and the waveform color displayed on the interface may coincide with the selected waveform color. The type and number of light sources on the light control panel are generally set, and do not limit the present disclosure.
The chemical stimulation event generating unit in the integrated neural regulation and detection system comprises: the parameter configuration subunit is used for setting stimulation parameters, and the stimulation parameters comprise stimulation substances, injection rate, injection target types and the like; the control subunit is used for controlling the state of applying the stimulation in real time; and a status subunit for displaying the chemical stimulation implementation status in real time. Accordingly, the configuration panel of the chemical stimulation event generation unit is shown in fig. 4, and includes two parameter configuration blocks, a control block and a status block, including injector information and stimulation parameters. The syringe information includes the diameter of the needle and the total volume of the syringe, which determines the maximum stimulation volume that can be applied; the stimulation parameters include stimulation substance, injection rate, injection target type, etc., where the injection target type may be volume or length of injection. The control plate can control the state of the applied stimulation in real time, and display the chemical stimulation implementing state in real time on the state plate.
The signal reading module in the integrated system for nerve regulation and control detection in the embodiment of the disclosure reads the nerve electrical signal, the neurochemical signal and the nerve regulation and control signal from the nerve regulation and control detector synchronously in real time in a data block mode through a USB interface protocol. In order to ensure the reliability of data, an independent thread is distributed for the signal reading module, and a ping-pong cache mechanism is adopted to read the data.
The data processing module in the integrated system for nerve regulation and detection in the embodiment of the disclosure comprises a preprocessing unit and a feature extraction and synchronous analysis unit. The preprocessing unit distributes the nerve electrical signals, the neurochemical signals and the nerve regulation and control signals transmitted by the signal reading module, then independently performs filtering, signal separation and other processing on each type of signals, and then the characteristic extraction and synchronous analysis unit extracts time domain characteristics and waveforms of the signals in real time and automatically identifies electrical stimulation and light regulation and control events. Meanwhile, the characteristic extraction and synchronous analysis unit can analyze the frequency domain characteristics of the signals in an off-line mode and synchronously analyze the correlation between the detected neural signals and the regulation and control signals.
The data processing method and the feature extraction flow of the neuroelectric signal in the embodiment of the disclosure are shown in fig. 5. Specifically, as shown in fig. 5 (a), the raw neural electrical signal distributed by the preprocessing unit is first separated into different frequency components by low-pass and high-pass filters; the low-pass component is subjected to down-sampling to form a low-frequency field potential signal; the high-pass component is subjected to an action potential extraction flow shown in fig. 5 (b), and an action potential signal is obtained. As shown in fig. 5 (b), the action potential is extracted by the one-way threshold method: starting from a first channel, traversing data blocks of all channels in the current time period (the time length is set to be 1s by default and is adjustable) one by one, and then starting to extract action potentials in the next time period; when action potential extraction is carried out on each channel, firstly, the maximum value and the minimum value of a current channel data block are obtained, then the relation between a set threshold value and the maximum value and the minimum value is compared, whether action potential exists in the current data block or not is judged in advance, and if not, the next channel is entered for extraction; otherwise, sequentially traversing the current channel data, and extracting action potentials with set lengths (default set to 3ms and adjustable) near all threshold points. Particularly, the method adopts the prejudgment function, so that the extraction efficiency of the action potential can be effectively improved.
The neurochemical signal data processing method in the embodiment of the disclosure mainly adopts filtering and oversampling technologies, and can adjust the electrochemical detection range gear of the neurochemical regulation detector according to the current detected electrochemical current, so as to ensure that the signal does not exceed the instrument range on the basis of ensuring the signal precision.
In the embodiment of the disclosure, during the data processing of the neural regulation and control signal, the read electrical or optical neural regulation and control signal and the electrical or optical regulation and control waveform generated by the regulation and control event generation module are filtered simultaneously, and then the filtered read regulation and control signal and the generated regulation and control signal are subjected to correlation analysis so as to automatically identify the electrical stimulation or optical regulation and control event and obtain the accurate occurrence time of the regulation and control event in real time. When chemical stimulation is carried out, due to the macroscopic regulation and control characteristics of the chemical stimulation, the time for transmitting the chemical stimulation event to the data processing module by the regulation and control event generation module is used as the occurrence time of the regulation and control event.
The data display storage module in the integrated system for nerve regulation and control detection of the embodiment of the disclosure comprises a data display unit, a data storage unit and a data processing unit, wherein the data display unit provides a synchronous display interface for detecting a regulation and control signal; and two independent threads of data storage units. The synchronous display interface for the detected regulation and control signals adopts a multi-window method to independently display the detected neural signals (such as electric field potential, action potential, electrochemical I-T curve and the like) and the generated regulation and control events; the sub-windows arranged in an array mode are further arranged in the different signal windows to display data of different channels at the same time, so that the data of each channel are clear at a glance, and a user can be ensured to carry out overall observation and monitoring on signals of all channels in the windows. Moreover, each independent window can be popped up and displayed on a computer interface at the same time, so that synchronous observation of the control event and the detection signal is realized. Meanwhile, the user can complete the human-computer interaction function through the interface. And the data storage unit is used for finishing the storage of the detected original signals, the detected characteristic signals or the detected regulation events according to a set data format.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It is to be noted that, in the attached drawings or in the description, the implementation modes not shown or described are all the modes known by the ordinary skilled person in the field of technology, and are not described in detail. Further, the above definitions of the various elements and methods are not limited to the various specific structures, shapes or arrangements of parts mentioned in the examples, which may be modified or substituted by one of ordinary skill in the art.
The above-mentioned embodiments are intended to illustrate the objects, aspects and advantages of the present disclosure in further detail, and it should be understood that the above-mentioned embodiments are only illustrative of the present disclosure and are not intended to limit the present disclosure, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (7)
1. An integrated neuromodulation detection system, comprising:
the device comprises a regulation event generation module, a neural stimulation control module and a neural stimulation control module, wherein the regulation event generation module is used for generating a neural regulation event and finishing the neural stimulation regulation and control of a detected object, and the neural regulation event comprises a neural regulation signal;
the data processing module is used for receiving the neural signals and the neural regulation and control signals and synchronously analyzing and processing the neural signals and the neural regulation and control signals so as to obtain the time sequence relation between the neural signals and the neural regulation and control signals;
the regulatory event generating module is used for generating three types of nerve regulatory events, and comprises:
the electrical stimulation event generating unit is used for generating an electrical stimulation event;
a light regulation event generation unit for generating a light regulation event; and
a chemical stimulation event generation unit for generating a chemical stimulation event;
further comprising:
the signal reading module is used for synchronously reading the nerve electrical signals and the neurochemical signals in the nerve regulation and control signals and the nerve signals in real time and sending the read signals to the data processing module;
the data processing module comprises:
the preprocessing unit is used for filtering and separating the neural signals and the neural regulation and control signals sent by the signal reading module and the regulation and control event generating module in real time; and
the characteristic extraction and synchronous analysis unit is used for extracting time domain characteristics and waveforms of the signals in real time, automatically identifying electrical stimulation and light control events, and synchronously analyzing the correlation between the detected signals and the control signals in an off-line manner;
the automatic identification of electrical stimulation and light-modulated events includes:
filtering the read electrical or optical nerve regulation and control signal and the electrical or optical regulation and control waveform generated by the regulation and control event generation module at the same time, and then carrying out correlation analysis on the filtered read regulation and control signal and the generated regulation and control signal so as to automatically identify the electrical stimulation or optical regulation and control event and obtain the accurate regulation and control event occurrence time in real time;
the feature extraction and synchronization analysis unit is further configured to:
firstly, separating different frequency components from an original nerve electric signal distributed by a preprocessing unit through a low-pass filter and a high-pass filter; the low-pass component is subjected to down-sampling to form a low-frequency field potential signal; the high-pass component is subjected to an action potential extraction process to obtain an action potential signal; wherein, the action potential extraction process comprises the following steps: starting from the first channel, traversing the data blocks of all channels in the current time period one by one, and then starting to extract the action potential in the next time period; when action potential extraction is carried out on each channel, firstly, the maximum value and the minimum value of a current channel data block are obtained, then the relation between a set threshold value and the maximum value and the minimum value is compared, and whether action potential exists in the current data block or not is judged in advance; if not, entering the next channel for extraction; otherwise, traversing the current channel data in sequence, and extracting action potentials with set lengths near all threshold points.
2. The neuromodulation detection integrated system of claim 1, wherein,
the electric stimulation event generating unit is used for generating voltage and/or current stimulation and setting the stimulation times and waveforms, wherein the waveforms comprise sine waves, square waves, sawtooth waves, triangular waves, time delay and combinations thereof.
3. The neuromodulation detection integrated system of claim 1, wherein,
the light regulation and control event generation unit is used for selecting different light sources and directly configuring output light intensity by indexing the light intensity and voltage current comparison table of the light sources with different colors on the basis of voltage or current stimulation of the electric stimulation event generation unit.
4. The neuromodulation detection integrated system of claim 1, wherein the chemical stimulation event generation unit comprises:
the parameter configuration subunit is used for setting stimulation parameters, and the stimulation parameters comprise a stimulation substance, an injection rate and an injection target type;
the control subunit is used for controlling the state of applying the chemical stimulation in real time; and
and the state subunit is used for displaying the chemical stimulation implementation state in real time.
5. The neuromodulation detection integrated system of claim 1, further comprising:
and the data display and storage module is connected with the data processing module and is used for receiving the neural signals and the neural regulation and control signals sent by the data processing module and synchronously displaying and storing the neural signals and the neural regulation and control signals.
6. The neuromodulation detection integrated system of claim 5, wherein the data display storage module comprises:
the data display unit comprises a synchronous display interface and is used for realizing human-computer interaction; the display interface adopts a multi-window independent synchronous display of the detected nerve signals and the nerve regulation and control signals; and
and the data storage unit is used for storing the detected original signals, the characteristic signals or the regulation and control events.
7. An integrated neuromodulation detection method, comprising:
generating a neural regulation event, and regulating the neural stimulation of the detected object, wherein the neural regulation event comprises an electrical stimulation event, a light regulation event and a chemical stimulation event;
synchronously analyzing and processing the detected neural signals and the neural regulation signals of the neural regulation events to obtain a time sequence relation between the neural signals and the neural regulation signals;
further comprising:
synchronously reading the neural electric signals and the neurochemical signals in the neural regulation signals and the neural signals in real time through a signal reading module;
real-time filtering and signal separation are carried out on the neural signals and the neural regulation and control signals through a preprocessing unit; and
extracting time domain characteristics and waveforms of the signals in real time through a characteristic extraction and synchronous analysis unit, automatically identifying electrical stimulation and light control events, and performing offline synchronous analysis on the correlation between the detected signals and the control signals;
the automatic identification of electrical stimulation and light-modulated events includes:
filtering the read electrical or optical nerve regulation and control signal and the electrical or optical regulation and control waveform generated by the regulation and control event generation module at the same time, and then carrying out correlation analysis on the filtered read regulation and control signal and the generated regulation and control signal so as to automatically identify the electrical stimulation or optical regulation and control event and obtain the accurate regulation and control event occurrence time in real time;
the feature extraction and synchronization analysis unit is further configured to:
firstly, separating different frequency components from an original nerve electric signal distributed by a preprocessing unit through a low-pass filter and a high-pass filter; the low-pass component is subjected to down-sampling to form a low-frequency field potential signal; the high-pass component is subjected to an action potential extraction process to obtain an action potential signal; wherein, the action potential extraction process comprises the following steps: starting from the first channel, traversing the data blocks of all channels in the current time period one by one, and then starting to extract the action potential in the next time period; when action potential extraction is carried out on each channel, firstly, the maximum value and the minimum value of a current channel data block are obtained, then the relation between a set threshold value and the maximum value and the minimum value is compared, and whether action potential exists in the current data block or not is judged in advance; if not, entering the next channel for extraction; otherwise, traversing the current channel data in sequence, and extracting action potentials with set lengths near all threshold points.
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