CN113440139B - 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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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/388—Nerve conduction study, e.g. detecting action potential of peripheral nerves
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/40—Animals
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/42—Evaluating a particular growth phase or type of persons or animals for laboratory research
Abstract
An electrophysiological signal action potential picking method, device and biological state detection method, comprising: acquiring action potential of an original nerve signal of a target animal acquired by an acquisition module; picking action potentials of the original nerve signals according to preset conditions to obtain the selected action potentials; 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 present the target action potential. When the embodiment of the invention is implemented, the selected action potential is sent to the first display device, the selected action potential is displayed by the first display device to prompt a worker to generate the target action potential, the obtained neural signal is directly selected, and the selection result is sent to the first display device for the worker to directly check, so that the worker can timely and effectively grasp the time when the target action potential occurs without additional 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 in the field of current biomedical engineering research, in the biological mechanism of neural activity, many behaviors of living beings are realized by mutual emission and reception of electric potentials by neurons, and in the research process in a specific field, action potential activity information of related electrophysiological signals is acquired under the state of corresponding brain function activities. The relevant platform and algorithm are used for picking out the corresponding action potential, and the specific analysis of the neuron function in the relevant field is a necessary means in the research process. Particularly in the research in the fields of real-time feedback and the like, the real-time feedback of corresponding stimulation to a tested object or synchronization of external marking signals and the like after the electrophysiological signals are acquired and online real-time processing is carried out and the required action potential is picked out is valuable.
The current electrophysiological equipment generally directly uploads data to a PC end after collecting original information of the data, displays and processes the data at the PC end, and downloads a processing result to a hardware system to feed back to external equipment or a tested object.
The inventor finds that the following technical problems exist in the conventional method in the long-term practice process:
in the current operation method, a worker is required to perform various operations on a PC end to process action potentials, so that the worker cannot timely and effectively grasp whether a target action potential to be screened appears.
Disclosure of Invention
The invention aims to solve the technical problem that a worker cannot effectively master a target electric message in the prior art, and provides an electrophysiological signal action potential picking method and device for timely grasping the occurrence of a target electric potential by the worker.
In order to achieve the technical purpose and the technical effect, the invention is realized by the following technical scheme.
In a first aspect, there is provided a method of electrophysiological signal action potential picking, comprising:
and acquiring action potentials of the original nerve signals of the target animal acquired by the acquisition module.
And picking action potentials of the original nerve signals according to preset conditions to obtain the selected action potentials, wherein the preset conditions are determined by the target action potential types and the target animals.
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 present a target action potential.
In a second aspect, based on the same inventive concept, there is provided a method for detecting a physiological state of an animal, comprising:
an action potential of an original neural signal of a target biological target animal is acquired.
The selected action potential was obtained by the method described above.
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, there is provided an electrophysiological signal action potential picking device based on the same inventive concept, comprising:
the first acquisition unit is used for acquiring action potentials of the original nerve signals of the target animal acquired by the acquisition module.
And the first processing unit is used for picking the action potential of the original nerve signal according to a preset condition to obtain the selected action potential.
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 present the 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 the original nerve signal of the target animal is obtained, the action potential of the original nerve signal is picked according to the preset selection, the selected action potential is obtained, and 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, and the worker directly selects the target action potential through the acquired nerve signal and sends a selection result to the first display device for the worker to directly check, so that the worker can timely and effectively grasp the time when the target action potential appears without additional operation.
Drawings
Fig. 1 is a schematic structural diagram of an implementation environment according to various embodiments of the present invention.
Fig. 2 is a flowchart of a method for detecting an animal physiological state according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for detecting an animal physiological state according to another embodiment of the present invention.
Fig. 4 is a block diagram of an animal physiological condition sensing device according to an embodiment of the present invention.
Fig. 5 is a structural frame diagram of an animal physiological condition detecting 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 in the first display device according to the present invention.
Fig. 8 is a diagram of a method for displaying action potentials in a first display device according to another embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, a schematic structural diagram of an implementation environment according to various embodiments of the present invention is shown. The implementation environment comprises an acquisition module 110, wherein the acquisition module can adopt an acquisition chip with the model RHD2132 of an inter company to acquire electrophysiological signals, and a first display device 120 can adopt an LCD display screen, can adopt one screen or a plurality of screens, an action potential selecting device 130, can adopt xc7z035 of an Xilinx company as a main control chip, can also adopt main control chips of other companies, and the action potential selecting device 130 is respectively in communication connection with the first display device 120 and the acquisition module 110, and can be particularly in wired connection or wireless connection.
The electrophysiological signal action potential picking scheme provided by the embodiment of the invention will be described and illustrated in detail through several specific embodiments.
Referring to fig. 2, a flowchart of an embodiment of the present invention is shown, and the electrophysiological signal action potential picking method includes:
s201, acquiring action potentials of the original nerve signals of the target animal acquired by the acquisition module.
After the acquisition module acquires the original nerve signals of the target animal, the signals are transmitted to the action potential selecting device in a wireless or wired mode, and the target animal is the animal for acquiring the signals.
S202, picking action potentials of the original nerve signals according to preset conditions to obtain the selected action potentials, wherein the preset conditions are determined by target action potential types and target animals.
The acquisition module screens the original nerve signals according to preset selection, the required action potentials are screened out, the preset conditions are determined by target potential types and target animals, the target potential types are types of action potentials to be screened out, the target animals are animals to be detected, the target potentials are action potentials to be screened out, and the screening conditions of different types of target potentials are different.
S203 sends the selected action potential to a first display device, where the selected action potential is displayed by the first display device to prompt the staff to present the target action potential.
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 the target type appears, and special color display, such as red, can be adopted for prompting; the display may also be of a particular thickness or of a particular type.
According to the method, action potentials of original nerve signals of target animals are obtained, the action potentials of the original nerve signals are picked according to preset picking, the selected action potentials are obtained, and the preset conditions are determined by the types of the target action potentials and the target animals; 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, and the worker directly selects the target action potential through the acquired nerve signal and sends a selection result to the first display device for the worker to directly check, so that the worker can timely and effectively grasp the time when the target action potential appears without additional operation.
In some embodiments, the present embodiment provides a method for picking action potentials of electrophysiological signals, including:
s301, acquiring action potentials of original nerve signals of the target animal acquired by the acquisition module.
S302, picking action potentials of the original nerve signals according to preset conditions to obtain the selected action potentials, wherein the preset conditions are determined by target action potential types and the target animals.
Step S302 may specifically include:
S302A1 picks up action potentials of the original nerve signals according to a first filtering threshold value, and action potentials within the first threshold value range are obtained as the picked action potentials.
The action potential is selected, and the action potential within a first threshold range is selected, wherein the selected action potential is the selected action potential, and the first threshold range can be selected according to requirements, and can be a frequency threshold range, a peak threshold range and the like.
Step S302A1 specifically further includes:
s302A1 acquires an action potential of an original neural action signal in a first state of a target animal, the first state corresponding to the target action potential type.
The first state is a state of a target animal corresponding to the target potential species to be acquired, such as a state that the animal is subjected to certain stimulus, such as a state of heating, cooling, pain, epilepsy, excitation, oestrus, stimulus and the like; the action potential of the original nerve action signal of each animal in different states is different, and the action potential of the original nerve action signal in different states is obtained.
S302A1A2 obtains a gaussian distribution model of the time-series peak value of the action potential of the original neural signal in the first state from the time-series peak value of the action potential of the original neural signal in the first state.
Obtaining a peak value on a time sequence of action potentials, namely an action potential peak value appearing in the time sequence, wherein the action potentials belong to Gaussian distribution, obtaining a Gaussian distribution model of the action potentials according to the obtained time sequence peak value within a certain time range, and obtaining an expected value mu and a standard deviation sigma of the Gaussian distribution model; the time range to be selected should be large enough to expel the errors as much as possible, and is typically over 1 ms.
S302A1A3 obtains two peaks corresponding to three times standard deviation positions on two sides of the expected value of the gaussian model as a first filtering threshold range.
And obtaining a peak value corresponding to the position mu-3 sigma and mu+3 sigma of the Gaussian model, taking the peak value of the action potential outside the mu-3 sigma and mu+3 sigma as a first filtering threshold range, wherein the probability of the action potential in the first state is less than three thousandths, the action potential possibly generated by animals is irrelevant, the action potential is ignored and does not influence the accuracy, when the peak value is taken as the first threshold range, the peak value of the action potential of the original nerve signal is selected, and the action potential corresponding to the peak value in the first filtering threshold range is taken as the selected action potential.
Step S302A1 may specifically further include:
s302A1B1 divides the obtained action potential signal into a plurality of signal segments of equal time period in the time sequence of the acquisition.
The action potential is divided into signal segments with equal time length according to the acquired action potential signals in time sequence, and the time length can be selected according to the needs and is generally not lower than one frequency period of the nerve signals.
S302A1B2 picks each signal segment according to a first filtering threshold value to obtain the signal segment containing action potential in the first threshold value range.
The action potentials are selected, and the action potentials within a first threshold range are selected, and signal fragments containing the action potentials within the first threshold range are selected, and the first threshold range may be a frequency threshold range, a peak threshold range, or the like, as required.
The first threshold is determined by steps S302 A1-S302 A1 A3.
Step S302 may specifically further include:
S302B1 divides the obtained action potential signal into a plurality of signal segments of equal time period in the time sequence of acquisition.
The action potential is divided into signal segments with equal time length according to the acquired action potential signals in time sequence, and the time length can be selected according to the needs and is generally not lower than one frequency period of the nerve signals.
And S302B2, picking each signal segment according to a second filtering threshold range to obtain the signal segment in the second threshold range, wherein the second threshold range is an energy threshold range.
Selecting action potentials, namely selecting action potentials in a second threshold range, selecting signal fragments containing the action potentials in the second threshold range, wherein the second threshold range can be selected as required, the second threshold range is an energy range, calculating the energy of the action potentials of each time fragment, and the energy calculation belongs to the prior art, and can be realized in a selecting device, and the action potentials corresponding to the energy values in the second threshold range are taken as the selected signal fragments, which are not described in detail.
Specifically, step S302B2 includes:
S302B21 acquires the action potential of the original neural action signal in the second state of the target animal.
The second state is a state of a target animal corresponding to the target potential species to be obtained, such as a state that the animal is subjected to certain stimulus, such as a state of heating, cooling, pain, epilepsy, excitation, oestrus and the like; the action potential of the original nerve action signal of each animal in different states is different, and the action potential of the original nerve action signal in different states is obtained.
S302B22 divides the action potential into a plurality of signal segments in sequence according to a first preset time range, where the first preset time range is the same as the time period in which the action potential is divided.
The target potential in the second state is compared with the action potential to be detected for the same length of time by dividing the target potential by the action potential to be detected for the same length of time.
S302B23 obtains an energy chi-square distribution model of 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 action potential, wherein the action potential energy values in the same time period belong to chi-square distribution, and acquiring expected values mu and standard deviation sigma of the chi-square distribution model according to the acquired energy chi-square distribution model of the action potential in a certain time range; the time range to be selected should be large enough to expel the errors as much as possible, and is typically over 1 ms.
S302B24, obtaining an energy range corresponding to three times standard deviation positions on two sides of an expected value of the chi-square distribution model as a second filtering threshold range.
And obtaining the corresponding energy value at the position of mu-3 sigma and mu+3 sigma of the Gaussian model, taking the energy value of the action potential outside the mu-3 sigma and mu+3 sigma as a second filtering threshold range, wherein the probability of the action potential in the second state is less than three thousandths, the action potential possibly generated by animals is irrelevant, the action potential is ignored and does not influence the accuracy, when the energy value is taken as the second threshold range, the energy value of the action potential of the original nerve signal is selected, and the action potential corresponding to the energy value in the second filtering threshold range is taken as the selected action potential.
By the above method, the algorithm delay of action potential can be shortened to be generally within 100us, as shown in table 1, wherein Latency (us), namely delay time is 63.68us.
Table 1.
S303 sends the selected action potential to a first display device, where the selected action potential is displayed by the first display device to prompt the operator to present the target action potential.
Specifically, one of the action potential selected in S302A1, the signal segment of the action potential selected in S302A1B2, or the signal segment of the action potential of S302B2 is transmitted to the first display device.
Specific S303 includes:
s3031, the action potential of the original nerve signal and the selected action potential signal are sent to the first display device, and the action potential of the original nerve signal and the selected signal segment are displayed by the first display device at the same time, so that a worker can know that the action potential occurs.
When the action potential is sent to the first display device, the action potential of the original nerve signal and the selected action potential can be simultaneously sent to the first display device, so that the first display device can simultaneously display the action potential of the original nerve signal and the selected action potential, workers can know that the action potential appears, and when the action potential and the original nerve potential are specifically displayed, the action potential and the original nerve potential can be represented by different colors or different sizes, the first display device can adopt one display screen or a plurality of display screens, and the original nerve signal potential and the selected action potential can be displayed on one display screen or a plurality of display screens.
Fig. 7 and 8 show two different display modes, fig. 7 shows an original nerve action potential and a picking potential on two display windows respectively, fig. 8 shows that a corresponding nerve signal channel can be selected for selection after the picking potential is found and the selection is performed on a small window, an upper waveform line shows an original nerve signal, a lower straight line shows that no corresponding nerve signal is detected, and if the corresponding nerve signal is detected, a single sine waveform signal or a corresponding waveform signal is required to be displayed below; the detected result can be transmitted to a corresponding device after detection, and corresponding stimulation is applied by the corresponding device or other operations are carried out; the operation of fig. 8 may also be described as having an Analyze button on the host device, clicking on which brings up the display interface. And selecting a corresponding channel, judging whether an action potential signal is detected (the frequency and the threshold value of the action potential can be flexibly set) or not, and feeding the judgment result (whether the action potential is picked) back to external equipment or a tested object through hardware in real time by a synchronous control digital output module after the action potential is detected according to the set condition.
The present invention provides another embodiment, please refer to fig. 3, which illustrates the present application, taking the pain felt by the mice as an example.
S31 applies pain stimulus to the mice.
S32, detecting the original nerve signal action potential of the mouse, and obtaining a Gaussian distribution model of the original nerve signal action potential.
S33, obtaining two peaks 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.
At another time, the original nerve signal action potential of the mouse is acquired S34.
S35, selecting the acquired original nerve signal action potential of the mouse by utilizing 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, wherein the display screen simultaneously displays the selected action potential and the original nerve signal action potential, and the display screen displays the original nerve signal action potential and the selected action potential in different colors so as to prompt the staff to present the target action potential.
In another embodiment, the present embodiment provides a method for detecting a physiological state of an animal, including:
s401 acquires the action potential of the original nerve signal of the 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 obtains the selected action potential by the method of the above 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, cooling, pain, epilepsy, excitation, oestrus, stimulated states and the like; each different state animal corresponds to a different biological state parameter.
S403, obtaining the biological state of the target organism according to the state that the selected action potential corresponds to the target potential.
After the action potential is selected, the state that the living organism is in the corresponding state of the target potential, such as the state of being heated, chilled, painful, epileptic, excited, oestrus, stimulated and the like, can be known.
Referring to fig. 4, an electrophysiological signal action potential picking device according to an embodiment of the present invention includes:
the first acquisition unit 401 is configured to acquire an action potential of an original neural signal of the target animal acquired by the acquisition module.
The first processing unit 402 is configured to pick action potentials of the original neural signals according to a preset condition, and obtain a selected 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, so as to prompt a worker to present a target action potential.
The first acquisition unit 401, the first processing unit 402, and the first sending unit 403 may be components of a processing unit, which may be a processor or a controller, for example, may be a central processing unit (central processingunit, CPU), a general purpose processor, a digital signal processor (digital signal processor, DSP), an application specific integrated circuit (application-specificintegrated circuit, ASIC), a field programmable gate array (fieldprogrammable 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 exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, and the like.
The first acquisition 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 needed to perform the methods of the present application.
When the processing unit is a processor, the acquiring unit is a communication interface, and the storage unit is a memory, the electrophysiological signal action potential picking device related to the application may be a device shown in fig. 5.
Referring to fig. 5, the apparatus 500 includes: a processor 502, a communication interface 501 and a memory 503. Wherein the communication interface 501, the processor 502 and the memory 503 may communicate with each other via an internal connection path to transfer control and/or data signals.
It should be noted that: the electrophysiological signal action potential picking device provided in the above embodiment is only exemplified by the division of the above functional modules, and in practical application, the above functional allocation may be performed 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, so as to complete all or part of the functions described above. In addition, the electrophysiological signal action potential picking device and the electrophysiological signal action potential picking method provided in the foregoing embodiments belong to the same concept, and detailed implementation processes of the electrophysiological signal action potential picking device and the electrophysiological signal action potential picking method are detailed in the method embodiments 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 master control xc7z035 chip is adopted, the communication is connected with a signal acquisition module, an LCD display module is an LCD display screen, and the device is powered by a power supply module.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages 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 for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
Claims (3)
1. A method for picking action potentials of electrophysiological signals, comprising:
acquiring action potential of an original nerve signal of a target animal acquired by an acquisition module;
picking action potentials of the original nerve signals according to preset conditions to obtain the selected action potentials, wherein the preset conditions are determined by target action potential types and the target animals;
transmitting 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;
picking action potentials of the original nerve signals according to preset conditions, wherein the step of obtaining the selected action potentials comprises the following steps:
picking action potentials of the original nerve signals according to a first filtering threshold range to obtain action potentials within the first filtering threshold range as selected action potentials;
picking action potentials of the raw neural signals according to the first filtering threshold range includes:
dividing the obtained action potential signal into a plurality of signal segments with equal time periods according to the obtained time sequence;
picking each signal segment according to a first filtering threshold value to obtain a signal segment containing action potential within the range of the first filtering threshold value;
picking action potentials of the raw neural signals according to the first filtering threshold range further 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 target action potential type;
according to the time sequence peak value of the action potential of the original nerve signal in the first state, a Gaussian distribution model of the time sequence peak value of the action potential of the original nerve signal in the first state is obtained;
obtaining two peaks 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;
the first state is the state of a target animal corresponding to the target potential species to be acquired, and comprises heating, cooling, pain, epilepsy, excitation and oestrus; the action potential of the original nerve action signal of each animal in different states is different, so that the action potential of the original nerve action signal in different states is obtained;
picking action potentials of the original nerve signals according to preset conditions, and obtaining the selected action potentials further comprises:
selecting each signal segment according to a second filtering threshold range to obtain a signal segment in the second filtering threshold range, wherein the second filtering threshold range is an energy threshold range;
picking each signal segment according to the second filtering threshold range includes:
acquiring action potential of an original nerve action signal of the target animal in a second state;
dividing the action potential into a plurality of signal segments in sequence according to a first preset time range, wherein the first preset time range is identical to the time period in which the action potential is divided;
obtaining an energy chi-square distribution model of action potential of the original nerve signal in the second state according to the energy of each signal segment;
obtaining an energy range corresponding to three times standard deviation positions on two sides of an expected value of the chi-square distribution model as a second filtering threshold range;
the second state is the state of a target animal corresponding to the target potential species to be acquired, and comprises heating, cooling, pain, epilepsy, excitation and oestrus;
the step of transmitting the selected action potential to the first display device includes:
transmitting the selected signal segments to the first display device;
transmitting the selected signal segments 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, wherein the action potential of the original nerve signal and the selected signal segment are displayed in the first display device at the same time, so that a worker can know that the action potential occurs.
2. A method for detecting a biological state, comprising:
collecting action potential of original nerve signals of a target organism;
obtaining a selected action potential using the method of claim 1;
and obtaining the biological state of the target organism according to the state of the selected action potential corresponding to the target potential.
3. An electrophysiological signal action potential picking device, the device comprising:
the first acquisition unit is used for acquiring action potentials of the original nerve signals of the target animal acquired by the acquisition module;
the first processing unit is used for picking action potentials of the original nerve signals according to preset conditions to obtain the selected action potentials; the preset condition is determined by a target action potential type and the target animal; picking action potentials of the original nerve signals according to preset conditions, wherein the step of obtaining the selected action potentials comprises the following steps:
picking action potentials of the original nerve signals according to a first filtering threshold range to obtain action potentials within the first filtering threshold range as selected action potentials;
picking action potentials of the raw neural signals according to the first filtering threshold range includes:
dividing the obtained action potential signal into a plurality of signal segments with equal time periods according to the obtained time sequence;
picking each signal segment according to a first filtering threshold value to obtain a signal segment containing action potential within the range of the first filtering threshold value;
picking action potentials of the raw neural signals according to the first filtering threshold range further 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 target action potential type;
according to the time sequence peak value of the action potential of the original nerve signal in the first state, a Gaussian distribution model of the time sequence peak value of the action potential of the original nerve signal in the first state is obtained;
obtaining two peaks 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;
the first state is the state of a target animal corresponding to the target potential species to be acquired, and comprises heating, cooling, pain, epilepsy, excitation and oestrus; the action potential of the original nerve action signal of each animal in different states is different, so that the action potential of the original nerve action signal in different states is obtained;
picking action potentials of the original nerve signals according to preset conditions, and obtaining the selected action potentials further comprises:
selecting each signal segment according to a second filtering threshold range to obtain a signal segment in the second filtering threshold range, wherein the second filtering threshold range is an energy threshold range;
picking each signal segment according to the second filtering threshold range includes:
acquiring action potential of an original nerve action signal of the target animal in a second state;
dividing the action potential into a plurality of signal segments in sequence according to a first preset time range, wherein the first preset time range is identical to the time period in which the action potential is divided;
obtaining an energy chi-square distribution model of action potential of the original nerve signal in the second state according to the energy of each signal segment;
obtaining an energy range corresponding to three times standard deviation positions on two sides of an expected value of the chi-square distribution model as a second filtering threshold range;
the second state is the state of a target animal corresponding to the target potential species to be acquired, and comprises heating, cooling, pain, epilepsy, excitation and oestrus;
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 present the target action potential.
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| CN105208927A (en) * | 2013-01-16 | 2015-12-30 | 佛蒙特大学 | Systems, catheters, and related methods for mapping, minimizing, and treating cardiac fibrillation |
| CN109689156A (en) * | 2016-08-08 | 2019-04-26 | 澳大利亚仿生学研究所 | For monitoring neururgic system and method |
| CN112472108A (en) * | 2021-02-05 | 2021-03-12 | 南京畅享医疗科技有限公司 | Neuron discharge spike signal picking method and device and computer equipment |
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| CN109689156A (en) * | 2016-08-08 | 2019-04-26 | 澳大利亚仿生学研究所 | For monitoring neururgic system and method |
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