CN111587809A - Motion monitoring system - Google Patents
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- CN111587809A CN111587809A CN201910126122.8A CN201910126122A CN111587809A CN 111587809 A CN111587809 A CN 111587809A CN 201910126122 A CN201910126122 A CN 201910126122A CN 111587809 A CN111587809 A CN 111587809A
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Abstract
The invention discloses a motion monitoring system, which comprises electrophysiological computing equipment, a motion acquisition device, an electrophysiological data communication device and an electrophysiological recording device, wherein the electrophysiological computing equipment comprises a central control device; the central control device generates a starting instruction and an ending instruction according to the triggering of a user, analyzes the three-dimensional motion data to obtain motion state data, and records target motion state data between the starting instruction and the ending instruction; the electrophysiological data communication device sends the generation time of the starting instruction and the ending instruction and the target motion state data to the electrophysiological recording device; the electrophysiological recording device marks the received generation time in the electrophysiological data generated by the neuron activity of the object to be detected, determines and records the electrophysiological data matched with the target motion state data. The scheme improves the matching degree of the animal behaviors and the neuron discharge activities in precision and time.
Description
Technical Field
The embodiment of the invention relates to the technical field of motion monitoring, in particular to a motion monitoring system.
Background
The animal behaviors are evolved by the interaction and continuous action of the animal and the environment, when the animal moves in the environment, the animal continuously receives the information input of the environment, the information is integrated and processed in the central nervous system, and the information is combined with the self state to send out a corresponding behavior instruction to control the animal to perform a series of actions, such as the actions of controlling the animal to eat, prey, drink water and the like.
The animal's neuronal activity is coordinated with the animal's behavioral state, and in order to decode the animal's neuronal activity signal, knowing the animal's behavioral state, it is usually necessary to match the animal's behavior to the neuronal activity, decoding the neuronal activity signal with the aid of a specific behavioral state. In the prior art, animal motion and neuron activity are researched mainly by acquiring behavior data of an animal in a video shooting mode, matching the behavior data with electrophysiological data in time through processing the behavior data, and decoding obtained neuron activity signals to a certain extent.
However, this method is only suitable for monitoring the behaviors of some animals with large volumes, and for monitoring small animals such as large mice, the movement of the animals is delayed by recording the video, and the degree of the behaviors reflected by the video is limited. The accuracy of the neuron discharge activity is high, and the neuron discharge activity is usually in the millisecond level, so that the behavioral data of the animal cannot be kept consistent with the neuron discharge activity in accuracy and time in the existing motion monitoring method.
Disclosure of Invention
The embodiment of the invention provides a motion monitoring system, which aims to improve the matching degree of the animal behavior data and the neuron discharge activity in the aspects of precision and time.
In a first aspect, an embodiment of the present invention provides a motion monitoring system, including: electrophysiological computing device, motion collection device, electrophysiological data communication device and electrophysiological recording device, wherein the electrophysiological computing device comprises: the central control device is used for controlling the central control device,
the motion acquisition device is respectively connected with the central control device and the micro amplifier worn on the head of the object to be detected, and is used for acquiring three-dimensional motion data of the object to be detected in real time and sending the three-dimensional motion data to the central control device;
the central control device is used for generating a starting instruction and an ending instruction according to the triggering of a user, analyzing the received three-dimensional motion data to obtain motion state data, and recording corresponding target motion state data between the starting instruction and the ending instruction;
the electrophysiological data communication device is respectively connected with the central control device and the electrophysiological recording device and is used for sending the generation time of the starting instruction and the ending instruction and the target motion state data to the electrophysiological recording device in real time;
the electrophysiological recording device is connected with the object to be detected and used for marking the received generation time in the electrophysiological data generated during the neuron activity of the object to be detected, determining and recording the electrophysiological data matched with the target motion state data.
Further, the central control device includes:
a behavior determining module, configured to determine a behavior pattern of the object to be detected according to the target motion state data, where the behavior pattern includes: freezing behavior, turning behavior, running behavior, washing behavior, grooming behavior, and standing behavior;
and the data receiving module is used for receiving the electrophysiological data which is sent by the electrophysiological recording device through the electrophysiological data communication device and is matched with the target motion state data.
Further, the behavior determination module is specifically configured to:
performing principal component analysis on the target motion state data to determine a characteristic value corresponding to the target motion state data;
and matching the characteristic value with a set behavior characteristic value to determine the behavior mode of the object to be detected.
Further, the electrophysiological computing device further comprises: a display device is arranged on the base plate,
the display is connected with the central control device and used for displaying the target motion state data corresponding to the behavior mode and the matched electrophysiological data and displaying the virtual model corresponding to the behavior mode.
Further, the electrophysiological computing device further comprises: a memory for storing a plurality of data to be transmitted,
the memory is used for storing the three-dimensional motion data of the object to be detected, the target motion state data corresponding to the behavior mode and the matched electrophysiological data, which are acquired by the motion acquisition device in real time.
Further, the electrophysiological data communication device and the electrophysiological recording device are kept in clock synchronization.
Further, the three-dimensional motion data includes acceleration data and angular velocity data,
the acceleration data is obtained by a three-axis acceleration sensor in the motion acquisition device;
the angular velocity data is obtained by a three-axis gyroscope in the motion capture device.
Further, the electrophysiological computing device is in wired connection with the motion capture device for supplying power to the motion capture device.
Further, the electrophysiological computing device is in wired connection with the electrophysiological data communication device and is configured to supply power to the electrophysiological data communication device.
An embodiment of the present invention provides a motion monitoring system, including: electrophysiological computing device, motion collection device, electrophysiological data communication device and electrophysiological recording device, wherein the electrophysiological computing device comprises: the system comprises a central control device, a motion acquisition device, a central control device and an electrophysiological data communication device, wherein the motion acquisition device is respectively connected with the central control device and a micro amplifier worn on the head of a to-be-detected object and used for acquiring three-dimensional motion data of the to-be-detected object in real time and transmitting the three-dimensional motion data to the central control device, the central control device is used for generating a starting instruction and an ending instruction according to the triggering of a user and analyzing the received three-dimensional motion data to obtain motion state data and recording target motion state data corresponding to the starting instruction and the ending instruction, the electrophysiological data communication device is respectively connected with the central control device and the electrophysiological recording device and is used for transmitting the generation time of the starting instruction and the ending instruction and the target motion state data to the electrophysiological recording device in real time, the electrophysiological recording device is connected with the to-be-detected object and is used for marking the received generation time in, the electrophysiological data matched with the target motion state data are determined and recorded, the problem that in the prior art, the motion behavior of an animal is monitored in a video shooting mode, the behavior data of the animal cannot be guaranteed to be consistent with the neuron discharge activity in precision and time is solved, and the matching degree of the animal behavior data and the neuron discharge activity in precision and time is improved.
Drawings
FIG. 1 is a block diagram of an athletic monitoring system according to an embodiment of the present invention;
FIG. 2 is a block diagram of another motion monitoring system provided by an embodiment of the present invention;
fig. 3 is a schematic diagram of a display interface according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a structural diagram of an exercise monitoring system according to an embodiment of the present invention, which is applicable to monitoring the exercise behaviors of animals, especially small animals such as rats and mice. Specifically, referring to fig. 1, the motion monitoring system includes: the electrophysiological computing device 100, the motion acquisition apparatus 110, the electrophysiological data communication apparatus 120, and the electrophysiological recording apparatus 130, wherein the electrophysiological computing device 100 comprises: the central control means 101 are arranged to control,
the motion acquisition device 110 is respectively connected with the central control device 101 and the micro amplifier 150 worn on the head of the object 140 to be detected, and is used for acquiring three-dimensional motion data of the object 140 to be detected in real time and sending the three-dimensional motion data to the central control device 101;
the central control device 101 is used for generating a starting instruction and an ending instruction according to the triggering of a user, analyzing the received three-dimensional motion data to obtain motion state data, and recording corresponding target motion state data between the starting instruction and the ending instruction;
the electrophysiological data communication device 120 is connected to the central control device 101 and the electrophysiological recording device 130, and is configured to send the generation time of the start instruction and the end instruction and the target motion state data to the electrophysiological recording device 130 in real time;
and the electrophysiological recording device 130 is connected with the object 140 and is used for marking the received generation time in the electrophysiological data generated during the neuron activity of the object 140, determining and recording the electrophysiological data matched with the target motion state data.
The electrophysiological computing device 100 may be a computer device comprising means such as a controller, a display and a memory for processing the received movement data and displaying the processing result via the display for the user to view, in this embodiment the electrophysiological computing device 100 comprises the central control means 101. The central control device 101 can modulate the data sampling frequency, the port for data exchange with the outside, and the exchange speed to meet the monitoring requirement, and can analyze the received motion data to obtain the motion state data.
The motion acquisition device 110 may acquire motion data of the object 140 to be detected in real time, such as a speed, an acceleration and/or an angular velocity, in practical applications, the motion acquisition device 110 is connected to the micro amplifier 150 disposed on the object 140 to be detected in a plug-and-play manner, the motion data of the object 140 to be detected is amplified by the micro amplifier 150 and then transmitted to the motion acquisition device 110, an installation position of the micro amplifier 150 may be selected according to an actual situation, optionally, the micro amplifier 150 is disposed on a head of the object 140 to be detected, and a posture may be adjusted within a range of 0 to 1800. In order to ensure the precision of the motion data acquisition, a three-dimensional motion sensor may be selected to acquire three-dimensional motion data of the object 140 to be measured, for example, a three-axis gyroscope, where the object 140 to be measured may be a small animal such as a large mouse or an animal with a large volume, and a suitable animal may be selected as the object 140 to be measured according to actual requirements.
The electrophysiological data communication device 120 is used to implement data interaction between the central control device 101 and the electrophysiological recording device 130, that is, the central control device 101 can send the generation time of the start command and the end command and the target movement state data to the electrophysiological recording device 130 in real time through the electrophysiological data communication device 120, and the electrophysiological recording device 130 can also send the electrophysiological data matched with the target movement state data to the central control device 101 through the electrophysiological data communication device 120. In the process of data interaction, the signal sent by the central control device 101 is a digital signal, the electrophysiological data communication device 120 needs to convert the digital signal sent by the central control device 101 into a corresponding analog signal after receiving the digital signal, amplify the analog signal and send the amplified signal to the electrophysiological recording device 130, and similarly, when the electrophysiological recording device 130 sends the analog signal to the central control device 101, the electrophysiological data communication device 120 needs to convert the analog signal into a corresponding digital signal and send the digital signal to the central control device 101.
The electrophysiological recording device 130 is used for recording the electrical activity of the neurons of the animal, and the change of the electrical activity of the neurons when the animal performs a series of actions can be known according to the information recorded by the electrophysiological recording device 130, which is helpful for the study of the cranial nerve activity. It can be understood that the behavior of the animal is controlled by the central nervous system of the brain, different neural circuits exist in the brain to control the behavior pattern of the animal, so that the animal performs a series of actions, and for small animals such as rats and mice, the body is usually kept still while the head is continuously exploring movement, for this purpose, the electrophysiological recording device 130 is connected to the micro-amplifier 150 on the object to be measured 140, so as to record the electrical activity of the neurons of the object to be measured 140 in real time, and of course, the electrophysiological recording device 130 may also be connected to other support structures fixed to the head of the object to be measured 140, as long as the activities of the neurons of the object to be measured 140 can be recorded.
It can be understood that different behaviors correspond to different electrical activities of the neurons, the electrophysiological data of different electrical activities of the neurons correspond to different signal channels, the electrophysiological recording device 130 can record the electrical activities of the neurons and store the electrical activities in the corresponding signal channels, the electrophysiological data communication device 120 can acquire the electrophysiological data of any signal channel of the electrophysiological recording device 130, and it should be noted that the electrophysiological data communication device 120 can only acquire the electrophysiological data of one signal channel at a time.
Specifically, when the user clicks a start button of the electrophysiological computing device 100, the central control device 101 generates a corresponding start instruction, and receives and stores the three-dimensional motion data sent by the motion acquisition device 110 in real time according to the start instruction, because some interference usually exists in the data acquisition process, the central control device 101 performs preprocessing such as filtering and noise reduction on the three-dimensional motion data after receiving the three-dimensional motion data to obtain motion state data, and when the user clicks an end button of the electrophysiological computing device 100, the central control device 101 generates a corresponding end instruction, and stops receiving the three-dimensional motion data according to the end instruction, where the motion state data corresponding to the start instruction and the end instruction is referred to as target motion state data, and a specific process embodiment of the preprocessing is not limited.
When the central control device 101 generates the start instruction, the generation time of the start instruction is synchronously sent to the electrophysiological recording device 130 through the electrophysiological data communication device 120, and the electrophysiological recording device 130 marks the time point corresponding to the electrical activity of the neuron, for example, the generation time corresponding to the start instruction is 13:33:20, and the electrophysiological recording device 130 marks the time sequence corresponding to the electrical activity of the neuron according to the generation time, and the processing procedure of the end instruction is similar, and is not described herein again. The advantage of this arrangement is that the start time and the end time corresponding to a certain behavior of the object 140 to be measured and the state of the corresponding electrical activity of the neuron in the time period can be clearly known, and the matching of the electrical activity of the neuron and the motion data can be realized. It should be noted that in the embodiment, the electrophysiological data communication device 120 and the electrophysiological recording device 130 keep clock synchronization, so as to ensure that the central control device 101 and the electrophysiological recording device 130 can keep communication with millisecond precision, thereby improving the matching degree of the electrical activity and the movement data of the neurons in time.
An embodiment of the present invention provides a motion monitoring system, including: electrophysiological computing device, motion collection device, electrophysiological data communication device and electrophysiological recording device, wherein the electrophysiological computing device comprises: the system comprises a central control device, a motion acquisition device, a central control device and an electrophysiological data communication device, wherein the motion acquisition device is respectively connected with the central control device and a micro amplifier worn on the head of a to-be-detected object and used for acquiring three-dimensional motion data of the to-be-detected object in real time and transmitting the three-dimensional motion data to the central control device, the central control device is used for generating a starting instruction and an ending instruction according to the triggering of a user and analyzing the received three-dimensional motion data to obtain motion state data and recording target motion state data corresponding to the starting instruction and the ending instruction, the electrophysiological data communication device is respectively connected with the central control device and the electrophysiological recording device and is used for transmitting the generation time of the starting instruction and the ending instruction and the target motion state data to the electrophysiological recording device in real time, the electrophysiological recording device is connected with the to-be-detected object and is used for marking the received generation time in, the electrophysiological data matched with the target motion state data are determined and recorded, the problem that in the prior art, the motion behavior of an animal is monitored in a video shooting mode, the behavior data of the animal cannot be guaranteed to be consistent with the neuron discharge activity in precision and time is solved, and the matching degree of the animal behavior data and the neuron discharge activity in precision and time is improved.
On the basis of the above embodiment, referring to fig. 2, the central control apparatus 101 includes:
a behavior determining module 1010, configured to determine a behavior pattern of the object 140 to be tested according to the target motion state data, where the behavior pattern includes: freezing behavior, turning behavior, running behavior, washing behavior, grooming behavior, and standing behavior;
the data receiving module 1011 is configured to receive the electrophysiological data that is sent by the electrophysiological recording device 130 through the electrophysiological data communication device 120 and matches with the target motion state data.
Taking the object 140 to be tested as a mouse as an example, the mouse can present various behavior patterns according to the stimulation of the external environment and the state of the mouse, and the embodiment takes a freezing behavior, a turning behavior, an escape behavior, a face washing behavior, a hair-care behavior and a standing behavior as examples. The data characteristics corresponding to different behavior modes are different, and the current behavior mode of the mouse can be determined according to the target motion state data. Specifically, after three-dimensional motion data is acquired by using a three-dimensional motion acquisition device, motion data in three directions can be respectively extracted, target motion state data in three directions can be obtained after preprocessing, the target motion data in three directions are analyzed according to a set method, principal component data which can best reflect the motion state of a mouse are extracted, and a corresponding behavior pattern is determined according to the characteristics of the principal component data, wherein the embodiment of the method for extracting the principal component data is not limited, for example, a principal component analysis method can be adopted, and SPSS software can also be adopted to extract the principal component data.
The electrophysiological recording device 130 can send the electrophysiological data to the data receiving module 1011 in real time, or can only send the electrophysiological data matched with the target motion state data, wherein the matched electrophysiological data is the electrophysiological data between the generation times of the start command and the end command. The data receiving module 1011 can display the electrophysiological data and the target motion state data after receiving the electrophysiological data, so that the user can check the electrophysiological data in the electrophysiological computing device 100 to know the behavior and the neuron electrical activity of the mouse under external stimulation.
On the basis of the foregoing embodiment, the behavior determining module 1010 is specifically configured to:
performing principal component analysis on the target motion state data to determine a characteristic value corresponding to the target motion state data;
and matching the characteristic value with a set behavior characteristic value to determine the behavior mode of the object 140 to be detected.
Specifically, in the embodiment, a feature value corresponding to target motion state data is determined by Principal Component Analysis (PCA), a sample matrix is established according to the target motion state data in three directions, a covariance matrix is determined according to the sample matrix and a covariance calculation formula, a feature value of the covariance matrix is calculated, the feature value is a feature value corresponding to the target motion state data, and the feature value is matched with a set behavior feature value to determine a corresponding behavior pattern. In practical application, an appropriate range can be set for the set behavior characteristic value according to needs, and when the calculated characteristic value meets the set range, the characteristic value can be considered to be matched with the set behavior characteristic value.
The behavior determining module 1010 may determine the behavior pattern of the mouse according to the target motion state data, or may determine the behavior pattern of the mouse according to the electrophysiological data sent by the electrophysiological recording device 130. It is understood that the behavior patterns of the mouse are different, the action potential time series of the signal channel corresponding to the electrophysiological recording device 130 are different, and the neuron discharge pattern feature is extracted according to the time series, as the sign of the specific behavior pattern, for example, when the mouse performs a face washing behavior, the neuron discharge pattern feature extracted based on the action potential time series corresponding to the behavior is a, and when the extracted meta discharge pattern feature of another mouse is a, the behavior performed by the mouse is considered as the face washing behavior.
After determining the behavior pattern of the mouse, the behavior determination module 1010 sends the corresponding signal to the electrophysiological recording device 130 through the electrophysiological data communication device 120, so that the electrophysiological data corresponding to the electrical activity of the neuron, the corresponding behavior pattern, and the time points of the start and end of the behavior can be visually checked in the electrophysiological recording device 130, or the corresponding data can be exported when the electrophysiological recording device 130 is in an offline state, thereby providing a basis for subsequent research.
On the basis of the above embodiment, the electrophysiological computing device 100 further comprises: the display(s) 102 are shown,
and the display 102 is connected with the central control device 101 and is used for displaying the target motion state data corresponding to the behavior mode and the matched electrophysiological data and displaying the virtual model corresponding to the behavior mode.
The virtual model is a model constructed according to the object 140 to be measured and used for reflecting the behavior posture of the object 140 to be measured, and may be a three-dimensional model of the object 140 to be measured or a three-dimensional model unrelated to the object 140 to be measured as long as the motion posture of the object 140 to be measured can be reflected. Exemplarily, referring to fig. 3, fig. 3 is a schematic diagram of a display interface according to an embodiment of the present invention. After determining the behavior of the object 140 to be measured according to the motion data, the central control device 101 controls the virtual model to perform corresponding actions, and displays specific information of acceleration, angular velocity, and angle corresponding to the actions, so that a user can visually view the behavior of the object 140 to be measured and changes of the motion data corresponding to the behavior, and the user can learn about the object 140 to be measured.
On the basis of the above embodiment, the electrophysiological computing device 100 further comprises: the memory (103) is used for storing the data,
the memory 103 is configured to store the three-dimensional motion data of the object 140 to be measured, which is acquired by the motion acquisition device 110 in real time, the target motion state data corresponding to the behavior pattern, and the matched electrophysiological data.
It can be understood that different processing methods are adopted for the three-dimensional motion data, the obtained target motion state data are also different, a certain error exists between the target motion state data and the actual behavior of the object to be measured 140, and in order to retain the original data and provide reference for the processed data, the three-dimensional motion data of the object to be measured 140 needs to be stored in real time. The target motion state data corresponding to the behavior pattern and the matched electrophysiological data are stored so as to match the target motion state data and the electrophysiological data and research the electrical activity of the neurons of the object to be tested.
Based on the above embodiment, the electrophysiological data communication device 120 and the electrophysiological recording device 130 maintain clock synchronization.
The electrophysiological data communication device 120 and the electrophysiological recording device 130 keep clock synchronization, so that the central control device 101 and the electrophysiological recording device 130 can keep millisecond-level precision communication, and the matching degree of the electrical activity and the movement data of the neurons in time is improved.
On the basis of the above-described embodiment, the three-dimensional motion data includes acceleration data and angular velocity data,
the acceleration data is obtained by a three-axis acceleration sensor in the motion acquisition device 110;
the angular velocity data is obtained by a three-axis gyroscope in the motion capture device 110.
Specifically, the motion collection device 110 may be a six-axis modular inertial motion sensor, including a three-axis acceleration sensor and a three-axis gyroscope, and collects acceleration data and angular velocity data of the object 140 to be measured by using the three-axis acceleration sensor and the three-axis gyroscope, and may collect fine and fine motions of the object 140 to be measured, and transmit the measured three-dimensional motion data to the central control device 101 at a high speed in real time, and the central control device 101 performs analysis and calculation to improve the matching degree of the electrical activity of the neuron and the motion data in terms of precision, where the model of the motion collection device 110 may be selected according to actual needs, and may be, for example, an MPU-6050 chip, an ASM330LHH chip, an SMI130 chip, an SC7I20 chip, or the like.
On the basis of the above described embodiment, the electrophysiological computing device 100 is in wired connection with the motion acquisition arrangement 110 for supplying power to the motion acquisition arrangement 110.
Specifically, the motion acquisition device 110 may be connected to the electrophysiological computing device 100 via a data line, and the electrophysiological computing device 100 supplies power to the motion acquisition device 110, or may wirelessly transmit motion data from the motion acquisition device 110 to the central control device 101, and the motion acquisition device 110 is powered by a lithium ion battery.
On the basis of the above described embodiment, the electrophysiological computing device 100 is wired to the electrophysiological data communication device 120 for supplying power to the electrophysiological data communication device 120.
Specifically, the electrophysiological computing device 100 and the electrophysiological data communication device 120 can be connected via a data line, and the electrophysiological computing device 100 supplies power to the electrophysiological data communication device 120.
The embodiment of the invention accurately records the three-dimensional motion information of the object to be detected, and realizes the matching of the three-dimensional motion information and the brain neuroelectrophysiological data on millisecond time scale and precision. Embodiments of the present invention may also be applied to a variety of experiments in sports-related brain studies: the method comprises monitoring of behavioral response of the big mouse and the small mouse under visual instinct fear stimulation and a neural loop mechanism, monitoring of behavioral response of the big mouse and the small mouse under auditory instinct fear stimulation and a neural loop mechanism, decision-making response of the big mouse and the small mouse under a hunger state and a neural loop mechanism, decision-making response of the big mouse and the small mouse under a thirst state and decision-making response of the big mouse and the small mouse in a mating behavior and the like, and has the same technical effect.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A motion monitoring system, comprising: electrophysiological computing device, motion collection device, electrophysiological data communication device and electrophysiological recording device, wherein the electrophysiological computing device comprises: the central control device is used for controlling the central control device,
the motion acquisition device is respectively connected with the central control device and the micro amplifier worn on the head of the object to be detected, and is used for acquiring three-dimensional motion data of the object to be detected in real time and sending the three-dimensional motion data to the central control device;
the central control device is used for generating a starting instruction and an ending instruction according to the triggering of a user, analyzing the received three-dimensional motion data to obtain motion state data, and recording corresponding target motion state data between the starting instruction and the ending instruction;
the electrophysiological data communication device is respectively connected with the central control device and the electrophysiological recording device and is used for sending the generation time of the starting instruction and the ending instruction and the target motion state data to the electrophysiological recording device in real time;
the electrophysiological recording device is connected with the object to be detected and used for marking the received generation time in the electrophysiological data generated during the neuron activity of the object to be detected, determining and recording the electrophysiological data matched with the target motion state data.
2. The motion monitoring system of claim 1, wherein the central control device comprises:
a behavior determining module, configured to determine a behavior pattern of the object to be detected according to the target motion state data, where the behavior pattern includes: freezing behavior, turning behavior, running behavior, washing behavior, grooming behavior, and standing behavior;
and the data receiving module is used for receiving the electrophysiological data which is sent by the electrophysiological recording device through the electrophysiological data communication device and is matched with the target motion state data.
3. The athletic monitoring system of claim 2, wherein the behavior determination module is specifically configured to:
performing principal component analysis on the target motion state data to determine a characteristic value corresponding to the target motion state data;
and matching the characteristic value with a set behavior characteristic value to determine the behavior mode of the object to be detected.
4. The motion monitoring system of claim 2, wherein the electrophysiological computing device further comprises: a display device is arranged on the base plate,
the display is connected with the central control device and used for displaying the target motion state data corresponding to the behavior mode and the matched electrophysiological data and displaying the virtual model corresponding to the behavior mode.
5. The motion monitoring system of claim 2, wherein the electrophysiological computing device further comprises: a memory for storing a plurality of data to be transmitted,
the memory is used for storing the three-dimensional motion data of the object to be detected, the target motion state data corresponding to the behavior mode and the matched electrophysiological data, which are acquired by the motion acquisition device in real time.
6. The motion monitoring system of claim 1, wherein the electrophysiological data communication device and the electrophysiological recording device are kept in clock synchronization.
7. The motion monitoring system of claim 1, wherein the three-dimensional motion data includes acceleration data and angular velocity data,
the acceleration data is obtained by a three-axis acceleration sensor in the motion acquisition device;
the angular velocity data is obtained by a three-axis gyroscope in the motion capture device.
8. The motion monitoring system of claim 1, wherein the electrophysiological computing device is in wired connection with the motion capture device for supplying power to the motion capture device.
9. The athletic monitoring system of claim 1, wherein the electrophysiological computing device is wired to the electrophysiological data communication device for supplying power to the electrophysiological data communication device.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112136709A (en) * | 2020-09-25 | 2020-12-29 | 北京原基华毅生物科技有限公司 | Motion state monitoring method, device, equipment and readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1547089A (en) * | 2003-12-03 | 2004-11-17 | 中国科学院昆明动物研究所 | Experimental animal behavior and electrophysiological signal synchronous recording system |
| US20060149139A1 (en) * | 2002-11-21 | 2006-07-06 | Giorgio Bonmassar | Apparatus and method for ascertaining and recording electrophysiological signals |
| CN101214168A (en) * | 2007-12-28 | 2008-07-09 | 上海移数信息科技有限公司 | Animal behavior monitoring and analyzing system |
| CN103369303A (en) * | 2013-06-24 | 2013-10-23 | 深圳市宇恒互动科技开发有限公司 | Motion behavior analysis recording and reproducing system and method |
| CN104013401A (en) * | 2014-06-05 | 2014-09-03 | 燕山大学 | System and method for synchronously acquiring human body brain electric signals and motion behavior signals |
| CN107016342A (en) * | 2017-03-06 | 2017-08-04 | 武汉拓扑图智能科技有限公司 | A kind of action identification method and system |
-
2019
- 2019-02-20 CN CN201910126122.8A patent/CN111587809A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060149139A1 (en) * | 2002-11-21 | 2006-07-06 | Giorgio Bonmassar | Apparatus and method for ascertaining and recording electrophysiological signals |
| CN1547089A (en) * | 2003-12-03 | 2004-11-17 | 中国科学院昆明动物研究所 | Experimental animal behavior and electrophysiological signal synchronous recording system |
| CN101214168A (en) * | 2007-12-28 | 2008-07-09 | 上海移数信息科技有限公司 | Animal behavior monitoring and analyzing system |
| CN103369303A (en) * | 2013-06-24 | 2013-10-23 | 深圳市宇恒互动科技开发有限公司 | Motion behavior analysis recording and reproducing system and method |
| CN104013401A (en) * | 2014-06-05 | 2014-09-03 | 燕山大学 | System and method for synchronously acquiring human body brain electric signals and motion behavior signals |
| CN107016342A (en) * | 2017-03-06 | 2017-08-04 | 武汉拓扑图智能科技有限公司 | A kind of action identification method and system |
Non-Patent Citations (1)
| Title |
|---|
| 张韶岷等: "动物脑电-行为同步记录及分析系统", 《浙江大学学报(工学版)》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112136709A (en) * | 2020-09-25 | 2020-12-29 | 北京原基华毅生物科技有限公司 | Motion state monitoring method, device, equipment and readable storage medium |
| CN112136709B (en) * | 2020-09-25 | 2022-06-07 | 北京原基华毅生物科技有限公司 | Motion state monitoring method, device, equipment and readable storage medium |
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