CN113440139A - Electrophysiological signal action potential picking method, device and biological state detection method - Google Patents
Electrophysiological signal action potential picking method, device and biological state detection method Download PDFInfo
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Abstract
A method, a device and a method for detecting biological states for picking up action potentials of electrophysiological signals, comprising: acquiring action potential of an original nerve signal of a target animal acquired by an acquisition module; picking the action potential of the original nerve signal according to a preset condition to obtain the selected action potential; and sending the selected action potential to a first display device, wherein the selected action potential is displayed by the first display device so as to prompt a worker to generate a target action potential. When the method and the device are implemented, the selected action potentials are sent to the first display device, the selected action potentials are displayed by the first display device to prompt a worker to have the target action potentials, direct selection is carried out through the acquired nerve signals, the selection result is sent to the first display device to be directly checked by the worker, and the worker can timely and effectively master the time when the target action potentials appear without extra operation.
Description
Technical Field
The invention relates to the field of biological signals, in particular to an electrophysiological signal action potential picking method, an electrophysiological signal action potential picking device and a biological state detection method.
Background
Neuroscience is an important branch of the current biomedical engineering research field, in the biological mechanism of neural activity, many behaviors of organisms are realized by mutual issuing and receiving of potentials of neurons, and in the research process of a specific field, action potential activity information of related electrophysiological signals needs to be acquired in a state corresponding to brain functional activity. The relevant platform and algorithm are used for picking out the corresponding action potential to carry out the specific analysis of the neuron function in the relevant field, and the method is a necessary means in the research process. Especially in the research of the field needing real-time feedback, the electrophysiological signals are collected and processed on line in real time, after the required action potentials are picked out, the signals are fed back to the corresponding stimulation of the tested object in real time or synchronously sent to an external marking signal, and the like, so the method is very valuable.
The current electrophysiological equipment generally uploads data to a PC terminal directly after collecting original information of the data, displays and processes the data at the PC terminal, and then downloads a processing result to a hardware system to be fed back to an external device or a tested object.
The inventor finds that the traditional method has the following technical problems in the long-term practice:
in the existing operation method, a worker is required to perform various operations on a PC (personal computer) end to process action potentials, so that the worker cannot timely and effectively know whether target action potentials needing to be screened appear or not.
Disclosure of Invention
The invention aims to overcome the technical problem that a worker cannot effectively grasp a target text in the prior art, and provides an electrophysiological signal action potential picking method and device for timely grasping the occurrence of a target potential.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
in a first aspect, there is provided an electrophysiological signal action potential picking method, including:
acquiring action potential of an original nerve signal of a target animal acquired by an acquisition module;
picking the action potential of the original nerve signal according to a preset condition to obtain the selected action potential, wherein the preset condition is determined by the type of the target action potential and the target animal;
and sending the selected action potential to a first display device, wherein the selected action potential is displayed by the first display device so as to prompt a worker to generate a target action potential.
In a second aspect, based on the same inventive concept, there is provided a method for detecting a physiological status of an animal, comprising:
collecting action potential of original nerve signals of a target biological target animal;
obtaining the selected action potential by the method;
and obtaining the biological state of the target organism according to the state of the selected action potential corresponding to the target potential.
In a third aspect, the present invention provides an electrophysiological signal action potential picking device, including:
the first acquisition unit is used for acquiring the action potential of the original nerve signal of the target animal acquired by the acquisition module;
the first processing unit is used for picking the action potential of the original nerve signal according to a preset condition to obtain the action potential after selection;
and the first sending unit is used for sending the selected action potential to a first display device, and the selected action potential is displayed by the first display device so as to prompt a worker to generate a target action potential.
Compared with the prior art, the invention has the beneficial effects that:
according to the embodiment of the invention, the action potential of an original nerve signal of a target animal is obtained, the action potential of the original nerve signal is picked according to preset picking to obtain the selected action potential, and the preset condition is determined by the type of the target action potential and the target animal; the action potential after selecting is sent to a first display device, the action potential after selecting is displayed by the first display device to prompt a worker that the target action potential appears, direct selection is carried out through the acquired nerve signals, the selection result is sent to the first display device to be directly checked by the worker, and the worker can timely and effectively master the time that the target action potential appears without extra operation.
Drawings
FIG. 1 is a schematic diagram of an implementation environment according to various embodiments of the present invention;
FIG. 2 is a flow chart of a method for detecting a physiological state of an animal according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for detecting a physiological state of an animal according to another embodiment of the present invention;
FIG. 4 is a block diagram of an animal physiological condition detection device according to an embodiment of the present invention;
FIG. 5 is a structural frame diagram of an animal physiological condition detection device according to still another embodiment of the present invention;
FIG. 6 is a schematic diagram of a chip of an animal physiological status detection device according to another embodiment of the present invention;
FIG. 7 is a diagram of a method for displaying action potentials of the first display device according to an embodiment of the present invention;
FIG. 8 is a diagram of a method for displaying action potentials of a first display device according to another embodiment of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Referring to fig. 1, a schematic diagram of an implementation environment according to various embodiments of the present invention is shown. The implementation environment comprises an acquisition module 110, the acquisition module can adopt an acquisition chip with the model of Intra corporation as RHD2132 to acquire electrophysiological signals, a first display device 120, the first display device can adopt an LCD display screen, one screen or a plurality of screens can be adopted, an action potential selection device 130, xc7z035 of Xilinx corporation can be adopted as a main control chip, and main control chips of other companies can also be adopted, the action potential selection device 130 is respectively in communication connection with the first display device 120 and the acquisition module 110, and specifically, the action potential selection device can be in wired connection or wireless connection.
In the following, the electrophysiological signal action potential picking scheme provided by the embodiment of the present invention will be described and explained in detail through several specific embodiments.
Referring to fig. 2, a flowchart of an embodiment of the present invention is shown, in which the method for picking action potentials of electrophysiological signals includes:
s201, acquiring action potential of an original nerve signal of a target animal acquired by an acquisition module;
the acquisition module acquires original nerve signals of a target animal, and transmits the original nerve signals to the action potential selection device in a wireless or wired mode, and the target animal is an animal needing to acquire the signals.
S202, picking the action potential of the original nerve signal according to a preset condition to obtain the picked action potential, wherein the preset condition is determined by the type of the target action potential and the target animal;
the acquisition module screens original nerve signals according to preset screening to screen out required action potentials, the preset condition is determined by the type of the target potentials and a target animal together, the type of the target potentials is the type of the action potentials to be screened out, the target animal is an animal to be detected, the target potentials are the action potentials to be screened out, and different types of target potential screening conditions are different.
S203, sending the selected action potential to a first display device, wherein the selected action potential is displayed by the first display device to prompt a worker that a target action potential appears;
the acquisition module sends the selected action potential to a first display device, the first display device displays the action potential to prompt a worker that the action potential of a target type appears, and special colors such as red can be adopted for displaying during prompting; special thickness or special type can be adopted for display;
in this embodiment, the action potential of an original nerve signal of a target animal is obtained, and the action potential of the original nerve signal is picked according to preset picking to obtain the picked action potential, where the preset condition is determined by the type of the target action potential and the target animal; the action potential after selecting is sent to a first display device, the action potential after selecting is displayed by the first display device to prompt a worker that the target action potential appears, direct selection is carried out through the acquired nerve signals, the selection result is sent to the first display device to be directly checked by the worker, and the worker can timely and effectively master the time that the target action potential appears without extra operation.
In some embodiments, the present embodiments provide a method for electrophysiological signal action potential picking, comprising:
s301, acquiring action potential of an original nerve signal of a target animal acquired by an acquisition module;
s302, picking the action potential of the original nerve signal according to a preset condition to obtain the selected action potential, wherein the preset condition is determined by the target action potential type and the target animal:
step S302 may specifically include:
S302A1, picking action potentials of original nerve signals according to a first filtering threshold value, and obtaining the action potentials within the first threshold value range as the selected action potentials;
selecting action potentials, namely selecting action potentials within a first threshold range, wherein the selected action potentials are the selected action potentials, and the first threshold range can be selected according to needs, can be a frequency threshold range, can be a peak threshold range and the like;
step S302a1 specifically further includes:
S302A1A1, acquiring action potential of an original nerve action signal of a target animal in a first state, wherein the first state corresponds to the target action potential type;
the first state is the state of a target animal corresponding to the type of the target potential to be obtained, for example, the animal is in a state of being stimulated, such as being heated, being cooled, being painful, being epileptic, being excited, being estrus, being stimulated, and the like; the action potentials of the original nerve action signals of the animals in different states are different, and the action potentials of the original nerve action signals in different states are obtained;
S302A1A2 obtaining a Gaussian distribution model of the time series peak value of the action potential of the original nerve signal in the first state according to the time series peak value of the action potential of the original nerve signal in the first state;
acquiring a peak value on a time sequence of the action potential, namely the action potential peak value appearing in the time sequence, wherein the action potential belongs to Gaussian distribution, acquiring a Gaussian distribution model of the action potential according to the acquired time sequence peak value in a certain time range, and acquiring an expected value mu and a standard deviation sigma of the Gaussian distribution model; the selected time range is required to be large enough to discharge errors as much as possible, and the selected time range is generally required to be more than 1 ms;
S302A1A3, obtaining two peak values corresponding to three times of standard deviation positions on two sides of an expected value of the Gaussian model as a first filtering threshold range;
obtaining corresponding peak values at the positions of mu-3 sigma and mu +3 sigma of the Gaussian model, using the peak values of action potentials outside the mu-3 sigma and the mu +3 sigma as a first filtering threshold range, wherein the probability that the action potentials belong to the action potentials in the first state is less than three thousandths, possibly belong to irrelevant action potentials generated by animals, neglecting the irrelevant action potentials without influencing the accuracy, selecting the peak values of the action potentials of the original nerve signals when the action potentials are used as the first threshold range, and using the action potentials corresponding to the peak values in the first filtering threshold range as the selected action potentials.
Step S302a1 may further include:
S302A1B1 dividing the obtained action potential signal into a plurality of signal segments with equal time periods according to the acquired time sequence;
the action potential is divided into signal segments with equal time length according to the sequence of time of the obtained action potential signals, and the time length can be selected according to needs and generally should not be lower than a frequency cycle of the neural signals.
S302A1B2, picking each signal segment according to a first filtering threshold value to obtain signal segments containing action potentials within the first threshold value range;
selecting action potentials, selecting action potentials within a first threshold range, and selecting signal segments containing the action potentials within the first threshold range, wherein the first threshold range can be selected according to needs, and can be a frequency threshold range, a peak threshold range and the like;
the first threshold is determined by steps S302A1A 1-S302A 1A 3.
Step S302 may further include:
S302B1 dividing the obtained action potential signal into a plurality of signal segments with equal time period according to the acquired time sequence;
dividing the action potential into signal segments with equal time length according to the time sequence of the obtained action potential signals, wherein the time length can be selected according to the requirement and is generally not lower than one frequency cycle of the neural signals;
S302B2, sorting each signal segment according to a second filtering threshold range to obtain a signal segment containing the second threshold range, wherein the second threshold range is an energy threshold range.
The action potentials are selected, the action potentials within a second threshold range are selected, signal segments containing the action potentials within the second threshold range are selected, the second threshold range can be selected according to needs, the second threshold range is an energy range, the energy of the action potentials of each time segment is calculated, the calculation of the energy belongs to the prior art, the calculation can be realized in a selection device, detailed description is omitted, and the action potentials corresponding to the energy values within the second threshold range are used as the selected signal segments.
Specifically, step S302B2 includes:
S302B21, acquiring action potential of the original nerve action signal of the target animal in the second state;
the second state is the state of the target animal corresponding to the target potential type to be obtained, for example, the animal is in a state of being stimulated, such as being heated, being cooled, being painful, being epileptic, being sexual, being oestrous, etc.; the action potentials of the original nerve action signals of the animals in different states are different, and the action potentials of the original nerve action signals in different states are obtained;
S302B22, sequentially dividing the action potential into a plurality of signal segments according to a first preset time range, wherein the length of the first preset time range is the same as that of the divided time period of the action potential;
the target potential in the second state is compared with the action potential to be detected for the same length of time as the length of time divided by the action potential to be detected.
S302B23, obtaining an energy chi-square distribution model of the action potential of the original nerve signal in the second state according to the energy of each signal segment;
acquiring energy values in a time period of the action potential, wherein the energy values of the action potential in the same time period belong to chi-square distribution, and acquiring an expected value mu and a standard deviation sigma of a chi-square distribution model according to the obtained chi-square distribution model of the energy of the action potential in a certain time range; the selected time range is required to be large enough to eliminate errors as much as possible, and generally the selected time range is required to be more than 1ms
S302B24, obtaining an energy range corresponding to the position of the standard deviation three times on two sides of the expectation value of the chi-square distribution model as a second filtering threshold range.
And obtaining energy values corresponding to the positions of mu-3 sigma and mu +3 sigma of the Gaussian model as a second filtering threshold range, wherein the probability that the action potentials in the second state belong to the action potentials outside the positions of mu-3 sigma and mu +3 sigma is less than three thousandths, the action potentials possibly belong to irrelevant action potentials generated by animals, neglecting the irrelevant action potentials without influencing the accuracy, when the action potentials are taken as the second threshold range, selecting the energy values of the action potentials of the original nerve signals, and taking the action potentials corresponding to the energy values in the second filtering threshold range as the selected action potentials.
By the method, the algorithm delay of the action potential can be shortened, and can be generally delayed to be within 100us, as shown in table 1, wherein latency (us), namely the delay time, is 63.68 us:
TABLE 1
S303, sending the selected action potential to a first display device, wherein the selected action potential is displayed by the first display device to prompt a worker to generate a target action potential:
specifically, either the selected operation potential at S302A1, the signal segment of the selected operation potential at S302A1B2, or the signal segment of the operation potential at S302B2 is transmitted to the first display device.
The specific step S303 includes:
s3031 sending the action potential of the original nerve signal and the selected action potential signal to the first display device, and simultaneously displaying the action potential of the original nerve signal and the selected signal segment by the first display device to be original so that a worker can know the action potential.
When sending action electric potential to first display device, can send the action electric potential of original nerve signal and the action electric potential after selecting simultaneously for first display device, so that first display device shows the action electric potential of original nerve signal and the action electric potential after selecting simultaneously, the staff of being convenient for learns the action electric potential that appears, when specifically showing, action electric potential and original nerve electric potential can adopt different colours to show, also can adopt different size to show, first display device can adopt a display screen also can adopt a plurality of display screens, original nerve signal electric potential and the action electric potential after selecting can show on a display screen also can show on a plurality of display screens.
Fig. 7 and 8 are two different display modes, fig. 7 shows that the original nerve action potential and the picking potential are respectively displayed on two display windows, fig. 8 shows that the picking potential is displayed by popping up a window again, fig. 8 shows that a corresponding nerve signal channel can be selected for selection, a signal is displayed on a small window after being selected, the upper waveform line shows the original nerve signal, the lower straight line shows that the corresponding nerve signal is not detected, and if the corresponding nerve signal is detected, a single sine waveform signal or a corresponding waveform signal is displayed below the corresponding nerve signal; after detection, the detected result can be transmitted to the corresponding device, and the corresponding device applies corresponding stimulation or performs other operations; the operations of FIG. 8 may also be described as having an Analyze button on the primary device that is clicked to bring up the display. And selecting a corresponding channel, judging whether an action potential signal is detected or not (the frequency and the threshold of the action potential can be flexibly set) according to the set condition, and feeding back a judgment result (whether the action potential is picked or not) to an external device or a tested object through hardware in real time by a synchronous control digital output module after the action potential is detected.
The present invention provides another embodiment, please refer to fig. 3, which illustrates the present application, and takes the pain felt by the mouse as an example;
s31 applying a painful stimulus to the mouse;
s32, detecting the action potential of the original nerve signal of the mouse to obtain a Gaussian distribution model of the action potential of the original nerve signal;
s33, acquiring two peak values corresponding to three times of standard deviation positions on two sides of an expected value of the Gaussian distribution model as a first filtering threshold range;
s34 obtaining the action potential of the original nerve signal of the mouse at another moment;
s35, selecting the acquired mouse original nerve signal action potential by using a first threshold range, wherein the original nerve signal action potential in the first threshold range is the selected action potential;
s36 sending the selected action potential to a display screen, the display screen displaying the selected action potential and the original nerve signal action potential at the same time, the display screen displaying the original nerve signal action potential and the selected action potential in different colors to prompt the staff to have the target action potential.
In another embodiment, the present invention provides a method for detecting a physiological status of an animal, including:
s401, collecting action potential of an original nerve signal of a target animal;
the target animal is an animal to be detected, and the acquisition module acquires an original nerve signal of the target animal;
s402, obtaining the selected action potential by using the method of the embodiment;
selecting parameters corresponding to different types of target biological states according to different requirements, and selecting action potentials of original nerve signals, wherein the different types of target biological states comprise states such as heating, cold, pain, epilepsy, excitement, estrus, stimulation and the like; a corresponding different biological status parameter for each different status animal;
s403, acquiring the biological state of the target organism according to the state of the selected action potential corresponding to the target potential;
after the action potential is selected, the condition of the living body corresponding to the target potential, such as heat, cold, pain, epilepsy, excitement, oestrus, stimulation, etc. can be known.
Referring to fig. 4, it shows an electrophysiological signal action potential picking device provided by an embodiment of the present invention, including:
the first acquiring unit 401 is configured to acquire an action potential of an original nerve signal of a target animal acquired by the acquiring module;
a first processing unit 402, configured to pick the action potential of the original neural signal according to a preset condition, to obtain a picked action potential, where the preset condition is determined by a target action potential type and the target animal;
a first sending unit 403, configured to send the selected action potential to a first display device, where the selected action potential is displayed by the first display device to prompt a worker that a target action potential appears;
the first obtaining unit 401, the first processing unit 402, and the first sending unit 403 may be components of a processing unit, and the first processing unit may be a processor or a controller, such as a Central Processing Unit (CPU), a general-purpose processor, a Digital Signal Processor (DSP), an application-specific integrated circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others.
The first obtaining unit 401 and the first sending unit 403 may be transceivers or communication interfaces for communicating with the acquisition module or the first display device 120, respectively. It may also be included that the storage unit may be a memory for storing information required for performing the methods of the present application.
When the processing unit is a processor, the obtaining unit is a communication interface, and the storage unit is a memory, the electrophysiological signal action potential picking device of the present application can be the device shown in fig. 5.
Referring to fig. 5, the apparatus 500 includes: a processor 502, a communication interface 501, and a memory 503. The communication interface 501, the processor 502 and the memory 503 may communicate with each other via internal connection paths to transmit control and/or data signals.
It should be noted that: the above-mentioned electrophysiological signal action potential picking device provided by the above embodiment is merely exemplified by the division of the above-mentioned functional modules, and in practical applications, the above-mentioned function distribution can be completed by different functional modules according to needs, that is, the internal structure of the electrophysiological signal action potential picking device is divided into different functional modules to complete all or part of the above-mentioned functions. In addition, the electrophysiological signal action potential picking device provided by the above embodiment and the electrophysiological signal action potential picking method embodiment belong to the same concept, and specific implementation processes thereof are described in the method embodiment and are not described herein again.
Another embodiment of the application provides another electrophysiological signal action potential picking device, as shown in fig. 6, a main control xc7z035 chip is used to communicate with a signal acquisition module and an LCD display module, the LCD display module is an LCD display screen, and the device is powered by a power module.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
Claims (10)
1. The method for picking the action potential of the electrophysiological signal is characterized by comprising the following steps:
acquiring action potential of an original nerve signal of a target animal acquired by an acquisition module;
picking the action potential of the original nerve signal according to a preset condition to obtain the selected action potential, wherein the preset condition is determined by the type of the target action potential and the target animal;
and sending the selected action potential to a first display device, wherein the selected action potential is displayed by the first display device so as to prompt a worker to generate a target action potential.
2. The method for picking action potentials of electrophysiological signals of claim 1, wherein the picking the action potentials of the original neural signals according to the predetermined condition comprises:
and picking the action potential of the original nerve signal according to a first filtering threshold range, and obtaining the action potential in the first threshold range as the selected action potential.
3. The method of picking action potentials of electrophysiological signals of claim 2, wherein picking the action potentials of the original neural signals according to the first filtering threshold range comprises:
dividing the obtained action potential signal into a plurality of signal segments with equal time periods according to the obtained time sequence;
and sorting each signal segment according to a first filtering threshold value to obtain the signal segments containing the action potentials within the first threshold value range.
4. The method for picking action potentials of electrophysiological signals of claim 2 or 3, wherein the picking the action potentials of the original neural signals according to the first filtering threshold range comprises:
acquiring action potential of an original nerve action signal of a target animal in a first state, wherein the first state corresponds to the type of the target action potential;
obtaining a Gaussian distribution model of the time sequence peak value of the action potential of the original nerve signal in the first state according to the time sequence peak value of the action potential of the original nerve signal in the first state;
and obtaining two peak values corresponding to three times of standard deviation positions on two sides of the expected value of the Gaussian model as a first filtering threshold range.
5. The method for picking action potentials of electrophysiological signals of claim 1, wherein the picking the action potentials of the original neural signals according to the predetermined condition comprises:
dividing the obtained action potential signal into a plurality of signal segments with equal time periods according to the obtained time sequence;
and sorting each signal segment according to a second filtering threshold range to obtain a signal segment in the second threshold range, wherein the second threshold range is an energy threshold range.
6. The method of electrophysiological signal action potential picking of claim 5, wherein picking each signal segment according to the second filtered threshold range includes:
acquiring the action potential of an original nerve action signal of the target animal in a second state;
sequentially dividing the action potential into a plurality of signal segments according to a first preset time range, wherein the length of the first preset time range is the same as that of the divided time period of the action potential;
obtaining an energy chi-square distribution model of the action potential of the original nerve signal in the second state according to the energy of each signal segment;
and obtaining an energy range corresponding to the position of the triple standard deviation on two sides of the expected value of the chi-square distribution model as a second filtering threshold range.
7. The method as claimed in claim 6 or 3, wherein the step of sending the selected action potentials to the first display device comprises:
and sending the selected signal segment to the first display device.
8. The method as claimed in claim 1, wherein the step of sending the selected signal segment to the first display device comprises:
and sending the action potential of the original nerve signal and the selected action potential signal to the first display device, and simultaneously displaying the action potential of the original nerve signal and the selected signal segment by the first display device to be original so that a worker can know the action potential.
9. A biological condition detection method, comprising:
collecting action potential of an original nerve signal of a target organism;
obtaining the selected action potential using the method of claims 1-8;
and obtaining the biological state of the target organism according to the state of the selected action potential corresponding to the target potential.
10. An electrophysiological signal action potential picking device, comprising:
the first acquisition unit is used for acquiring the action potential of the original nerve signal of the target animal acquired by the acquisition module; a
The first processing unit is used for picking the action potential of the original nerve signal according to a preset condition to obtain the action potential after selection;
and the first sending unit is used for sending the selected action potential to a first display device, and the selected action potential is displayed by the first display device so as to prompt a worker to generate a target action potential.
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