Awake state detection system and method

Abstract

The embodiment of the present invention discloses a wakefulness state detection system and method. The system includes: a physiological index detection device for generating physiological detection results of physiological indexes; a body posture detection device for generating posture detection results of body postures; a motor ability detection device for generating motor ability detection results of motion information; a stimulus response detection device for generating stimulus response detection results of target stimulus signals; an emotional response detection device for generating emotional response detection results of emotional behavior representations; a behavior pattern detection device for generating behavior pattern detection results of behavioral phenotypes and an awakening state evaluation device for determining and displaying the awakening state of the target detection object based on physiological detection results, posture detection results, motor ability detection results, stimulus response detection results, behavior pattern detection results and emotional response detection results, and realizing accurate analysis of the awakening state through multi-dimensional information detection.

Description

Technical Field

[0001] The present invention relates to the technical field of biomedical signal processing, and in particular to a wakefulness state detection system and method. Background Art

[0002] It is extremely important for individuals to maintain a good state of wakefulness and take appropriate defensive actions against harmful stimuli for both individual survival and species reproduction. However, under stress, neuropsychiatric diseases and extreme environments, such as the deep sea, deep space, and polar regions, individuals' basic life activities and brain wakefulness are easily affected, thus affecting task execution and even making it difficult to cope with threats to survival.

[0003] The regulatory mechanism of special brain states has always been one of the important frontier scientific issues that humans have not yet fully understood. Taking the brain state induced by general anesthesia as an example, the neural mechanism of awakening, loss of consciousness and recovery caused by it is an important content in neuroscience and clinical research.

[0004] At present, in related technologies, a single indicator is generally used as the criterion for judging the state of wakefulness. First, since brain function is an overall state, a single indicator cannot fully reflect the overall activity level and functional state of the brain. Therefore, it is difficult to quickly and accurately judge the state of wakefulness in both scientific research and clinical diagnosis and treatment. Secondly, using this standard to judge the state of wakefulness is often prone to misjudgment, resulting in hypoxia, airway obstruction, and secondary intubation, which poses a safety risk. Summary of the invention

[0005] The present invention provides a wakefulness state detection system and method to solve the technical problem of inaccurate wakefulness state judgment.

[0006] According to one aspect of the present invention, there is provided a wakefulness state detection system, which comprises: a physiological index detection device, a body posture detection device, a motor ability detection device, a stimulus response detection device, an emotional response detection device, a behavior pattern detection device and a wakefulness state evaluation device; wherein,

[0007] The physiological index detection device is used to collect the target physiological index of the target detection object, generate a physiological detection result corresponding to the physiological index, and send the physiological detection result to the wakefulness state evaluation device;

[0008] The body posture detection device is used to detect the body posture of the target detection object, generate a posture detection result corresponding to the body posture, and send the posture detection result to the wakefulness state evaluation device;

[0009] The motor ability detection device is used to detect the motor information of the target detection object, generate a motor ability detection result corresponding to the motor information, and send the motor ability detection result to the wakefulness state evaluation device;

[0010] The emotional response detection device is used to detect emotional information of the target detection object, generate an emotional response detection result corresponding to the emotional information, and send the emotional response detection result to the wakefulness state evaluation device;

[0011] The behavior pattern detection device is used to detect the behavior structure and switching pattern of the target detection object, generate a behavior pattern detection result corresponding to the behavior phenotype, and send the behavior pattern detection result to the wakefulness state evaluation device;

[0012] The stimulus response detection device is used to generate a stimulus response detection result corresponding to the target stimulus signal based on the response information of the target detection object to the target stimulus signal, and send the stimulus response detection result to the wakefulness state evaluation device, wherein the target stimulus signal includes a harmful stimulus signal;

[0013] The wakefulness state evaluation device is used to determine the wakefulness state of the target detection object based on the received physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection results, the behavior pattern detection results and the emotional reaction detection results, and display the wakefulness state.

[0014] According to another aspect of the present invention, a method for detecting a wakefulness state is provided. The method is applied to a wakefulness state detection system. The wakefulness state detection system includes a physiological index detection device, a body posture detection device, a motor ability detection device, a stimulus response detection device, a behavior pattern detection device, an emotional response detection device, and a wakefulness state evaluation device. The method for detecting a wakefulness state includes:

[0015] The target physiological index of the target detection object is collected through the physiological index detection device, and a physiological detection result corresponding to the physiological index is generated, and the physiological detection result is sent to the wakefulness state evaluation device;

[0016] The body posture detection device detects the body posture of the target detection object, generates a posture detection result corresponding to the body posture, and sends the posture detection result to the wakefulness state evaluation device;

[0017] The motion information of the target detection object is detected by the motion ability detection device, a motion ability detection result corresponding to the motion information is generated, and the motion ability detection result is sent to the wakefulness state evaluation device;

[0018] The emotional response detection device detects emotional information of the target detection object, generates an emotional response detection result corresponding to the emotional information, and sends the emotional response detection result to the wakefulness state evaluation device;

[0019] By means of the stimulus response detection device, based on the response information of the target detection object to the target stimulus signal, a stimulus response detection result corresponding to the target stimulus signal is generated, and the stimulus response detection result is sent to the wakefulness state evaluation device, wherein the target stimulus signal includes a harmful stimulus signal;

[0020] The behavior pattern detection device is used to detect the behavior structure and switching pattern of the target detection object, generate a behavior pattern detection result corresponding to the behavior phenotype, and send the behavior pattern detection result to the wakefulness state evaluation device;

[0021] Through the wakefulness state evaluation device, the wakefulness state of the target detection object is determined based on the received physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection results, the behavior pattern detection results and the emotional reaction detection results, and the wakefulness state is displayed.

[0022] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0023] at least one processor; and

[0024] a memory communicatively connected to the at least one processor; wherein,

[0025] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the wakefulness state detection method described in any embodiment of the present invention.

[0026] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the wakefulness state detection method described in any embodiment of the present invention when executed.

[0027] The technical solution of the embodiment of the present invention constructs a complete and multi-dimensional wakefulness detection system by setting a physiological index detection device, a body posture detection device, a motor ability detection device, a stimulus response detection device, a behavior pattern detection device, an emotional response detection device and an awakening state evaluation device in the awakening state detection system. Through the physiological index detection device, the body posture detection device, the motor ability detection device, the stimulus response detection device, the behavior pattern detection device and the emotional response detection device, the multi-dimensional indicators of physiological indicators, body posture, movement, stimulus response, behavior and emotion can be detected respectively. Then, through the awakening state evaluation device, the physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection device, the behavior pattern detection and the emotional response detection results are comprehensively analyzed, and the awakening state of the target detection object is more comprehensively detected, which solves the technical problem of inaccurate judgment of the awakening state by a single indicator, and achieves the beneficial effect of improving the detection accuracy of the awakening state, and provides a scientific and effective detection method for studying the neural mechanism of awakening and consciousness.

[0028] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 is a structural schematic diagram of a wakefulness state detection system provided according to an embodiment of the present invention;

[0031] Figure 2 is a working principle diagram applicable to the awakening state detection system according to an embodiment of the present invention;

[0032] Figure 3 is a flow chart of a method for detecting a wakefulness state according to an embodiment of the present invention;

[0033] Figure 4 It is a structural schematic diagram of an electronic device for implementing the awakening state detection method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0035] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0036] Figure 1 This is a schematic diagram of the structure of a wakefulness state detection system provided by an embodiment of the present invention. The wakefulness state detection system can be implemented in the form of hardware and / or software.

[0037] like Figure 1As shown, the wakefulness state detection system includes a physiological indicator detection device 10, a body posture detection device 20, a motor ability detection device 30, a stimulus response detection device 40, an emotional response detection device 50, a behavior pattern detection module 60, and a wakefulness state evaluation device 70. Among them, the physiological indicator detection device 10 is used to collect the target physiological indicator of the target detection object, and generate a physiological detection result corresponding to the physiological indicator, and send the physiological detection result to the wakefulness state evaluation device 70; the body posture detection device 20 is used to detect the body posture of the target detection object, generate a posture detection result corresponding to the body posture, and send the posture detection result to the wakefulness state evaluation device 70; the motor ability detection device 30 is used to detect the motion information of the target detection object, generate a motor ability detection result corresponding to the motion information, and send the motor ability detection result to the wakefulness state evaluation device 70; the emotional response detection device 40 is used to detect the emotional information of the target detection object, generate an emotional response detection result corresponding to the emotional information, and send the emotional response detection result to the wakefulness state evaluation device 70. state evaluation device 70; a stimulus response detection device 50, which is used to generate a stimulus response detection result corresponding to the target stimulation signal based on the response information of the target detection object to the target stimulation signal, and send the stimulus response detection result to the wakefulness state evaluation device 70, wherein the target stimulation signal includes a harmful stimulation signal; a behavior pattern detection device 60, which is used to detect the behavior structure and switching pattern of the target detection object, generate a behavior pattern detection result corresponding to the behavior phenotype, and send the behavior pattern detection result to the wakefulness state evaluation device 70; the wakefulness state evaluation device 70 is used to determine the wakefulness state of the target detection object based on the received physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection results, the emotional response detection results and the behavior pattern detection results, and display the wakefulness state.

[0038] The technical solution of the embodiment of the present invention constructs a complete and multi-dimensional wakefulness state detection system by setting a physiological index detection device, a body posture detection device, a motor ability detection device, a stimulus response detection device, an emotional response detection device and an awakening state evaluation device in the awakening state detection system. Through the physiological index detection device, the body posture detection device, the motor ability detection device, the stimulus response detection device, the emotional response detection device and the behavior pattern detection device, the multi-dimensional indicators of physiological indicators, body posture, movement, stimulus response and emotion can be detected respectively. Then, through the awakening state evaluation device, the physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection device, the emotional response detection results and the behavior pattern detection results are comprehensively analyzed, and the awakening state of the target detection object is more comprehensively detected, which solves the technical problem of inaccurate judgment of the awakening state by a single indicator, and achieves the beneficial effect of improving the detection accuracy of the awakening state, and provides a scientific and effective detection method for studying the neural mechanism of awakening and consciousness state.

[0039] In an embodiment of the present invention, the wakefulness state evaluation device 70 is used to align the received physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection results, the emotional reaction detection results and the behavioral pattern detection results in the time dimension, and then quantify the physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection results, the emotional reaction detection results and the behavioral pattern detection results in the same time period to obtain a single-dimensional evaluation index corresponding to each detection result, and then perform weighted fusion processing on the single-dimensional evaluation index corresponding to each detection result to obtain a comprehensive index for indicating the wakefulness state of the target detection object, and then match the comprehensive index with the indicator range corresponding to different wakefulness states to determine the wakefulness state of the target detection object and display the wakefulness state.

[0040] Exemplarily, the physiological index detection device 10 includes at least one of a body temperature detection module, a blood pressure detection module, a heart rate detection module, a respiratory rate detection module, and a blood oxygen saturation detection module. It should be noted that the physiological index detection device 10 can support a multi-modal detection device for multi-index detection, for example, a detection device that can be used to detect two or more physiological indicators such as body temperature, blood pressure, heart rate, respiratory rate, and blood oxygen saturation. In an embodiment of the present invention, the detection of the body posture of the target detection object can be obtained by analyzing the video information of the target detection object. Optionally, the body posture detection device 20 includes a video acquisition module and a posture analysis module. Among them, the video acquisition module is used to collect video information of the target detection object in a free activity or external stimulation state, and send the video information to the posture analysis module; the posture analysis module is used to identify the posture of the target detection object through the video information and a preset artificial intelligence algorithm to obtain the posture detection result of the target detection object, and send the posture detection result to the awakening state evaluation device, wherein the posture detection result includes skeleton morphology information and / or body height information.

[0041] In the embodiment of the present invention, there may be multiple ways to perform motion detection on the target object, and accordingly, there may be multiple structures of the motion ability detection device.

[0042] Exemplarily, the motor ability detection device can obtain the motor ability detection result of the target detection object by performing motor ability analysis on the video information of the target detection object. Optionally, the motor ability detection device 30 includes a video acquisition module and a motion analysis module. The video acquisition module is used to collect the behavior video of the target detection object in a free activity or external stimulation state, and send the behavior video to the behavior analysis module; the behavior analysis module is used to analyze the behavior of the target detection object in different states through the behavior video and a preset artificial intelligence algorithm to obtain the motor ability detection result of the target detection object, and send the motor ability detection result to the awakening state evaluation device 70, wherein the motor ability detection result includes at least one of the information such as body deflection angle information, movement distance information and movement speed information.

[0043] In an embodiment of the present invention, the artificial intelligence algorithm may be at least one of a pre-trained neural network model, a deep learning algorithm, and a machine learning algorithm.

[0044] As another optional technical solution of the embodiment of the present invention, on the basis of the above-mentioned technical solutions, the athletic ability detection device 30 may include a motion detection module and a motion analysis module. Exemplarily, the motion detection module includes at least one of an electromyographic signal acquisition module, an experimental treadmill test module and a rotarod test module. Among them, the electromyographic signal acquisition module is used to acquire the electromyographic signal of the target detection object, use the electromyographic signal as a motion detection signal, and send the motion detection signal to the motion analysis module. The experimental treadmill test module is used to perform a running test on the target detection object, use the running test data as a motion detection signal, and send the motion detection signal to the motion analysis module. The rotarod test module is used to test the target detection object, use the rotarod test data as a motion detection signal, and send the motion detection signal to the motion analysis module. The motion analysis module is used to analyze the received motion detection signal to obtain the motion ability detection result of the target detection object, and send the motion ability detection result to the wakefulness state evaluation device 70, wherein the motion ability detection result includes at least one of the muscle strength index, endurance index, coordination index and balance index of the target detection object.

[0045] Specifically, the motion analysis module can obtain the muscle strength index of the target detection object by analyzing the received electromyographic signal. The motion analysis module can obtain the muscle strength index and endurance index of the target detection object by analyzing the received running test data. The motion analysis module can obtain the coordination index and balance index of the target detection object by analyzing the received rotarod test data.

[0046] Exemplarily, the emotional response detection device 40 may include a video acquisition module and an emotional analysis module. The video acquisition module is used to collect video information of the target detection object in a free activity or external stimulation state, and send the video information to the emotional analysis module; the emotional analysis module is used to analyze the emotional response of the target detection object in different states through the video information and a preset artificial intelligence algorithm to obtain the emotional response detection result of the target detection object, and send the emotional response detection result to the awakening state evaluation device. The emotional response detection result may include at least one of the emotions such as sadness, pain, calmness or fear. In addition, the emotional response detection result may include at least one of the emotion occurrence time, emotion conversion time and emotion duration.

[0047] The emotional information of the target detection object is detected, an emotional response detection result corresponding to the emotional information is generated, and the emotional response detection result is sent to the wakefulness state evaluation device 70.

[0048] Behavior is the most direct external representation of the brain's state. Using data-driven sophisticated behavioral analysis can reflect the brain's internal state to a certain extent.

[0049] Similarly, the behavior pattern detection result of the target detection object can be obtained by performing behavior pattern analysis on the video information of the target detection object. Optionally, the behavior pattern detection device includes a behavior video acquisition module and a behavior analysis module, wherein the behavior video acquisition module is used to collect the behavior video of the target detection object in a free activity or external stimulation state, and send the behavior video to the behavior analysis module; the behavior analysis module is used to analyze the behavior results and switching modes of the target detection object in different states through the behavior video and a preset artificial intelligence algorithm to obtain the behavior pattern detection result of the target detection object, and send the behavior pattern detection result to the wakefulness state evaluation device, wherein the behavior pattern detection result includes at least one of the information such as body behavior action type information, action frequency information, behavior state transition information and behavior pattern switching information.

[0050] Optionally, the stimulus response detection device 50 includes a stimulus unit, a response information collection unit and a response result detection unit. The stimulus unit is used to generate a target stimulus signal in response to a stimulus trigger instruction, and apply the target stimulus signal to the target detection object, wherein the target stimulus signal includes at least one of a visual stimulus signal, an olfactory stimulus signal, a sensory stimulus signal and an auditory stimulus signal; the response information collection unit is used to collect response information of the target detection object in response to the target stimulus signal, and send the response information to the response result detection unit; the response result detection unit is used to generate a stimulus response detection result corresponding to the target stimulus signal according to the response information, and send the stimulus response detection result to the wakefulness state evaluation device 70.

[0051] The stimulation unit can generate target stimulation signals according to actual needs, for example, a multimodal sensory stimulation signal can be used. Specifically, the stimulation unit can be provided with a user operation component and a display component. The user operation component can be a physical control component consisting of at least a stimulation parameter setting button and a stimulation start and / or stop button; or it can be a touch-operated component that supports stimulation parameter setting and stimulation triggering.

[0052] Exemplarily, the response information may include at least one of information such as a reaction latency, reaction intensity, and reaction duration of the target detection object to the target stimulation signal.

[0053] On the basis of the above-mentioned technical solutions, the wakefulness state detection system can also analyze the wakefulness state of the target detection object through brain activity. Optionally, the wakefulness state detection system also includes an EEG signal detection device. The EEG signal detection device is used to detect the EEG signal of the target detection object, generate an EEG detection result corresponding to the cortical EEG signal, and send the EEG detection result to the wakefulness state evaluation device 70; the wakefulness state evaluation device 70 is also used to update the wakefulness state of the target detection object based on the EEG detection result.

[0054] Specifically, the wakefulness state evaluation device 70 can be used to determine the wakefulness state of the target detection object and display the wakefulness state based on the received physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection device, the emotional reaction detection results, the EEG detection results and the behavioral pattern detection results.

[0055] Further, the EEG signal detection device includes an EEG signal acquisition module, a neuron signal acquisition module and an EEG detection module, wherein the EEG signal acquisition module is used to acquire the cortical EEG signal of the target detection object and send the cortical EEG signal to the EEG detection module; the neuron signal acquisition module is used to obtain the neural activity information and activity change information of the subcortical brain area of ​​the target detection object and send the neural activity information and the activity change information to the EEG detection module, wherein the neuron signal acquisition module includes a calcium ion fiber recording unit and / or a two-photon in vivo calcium imaging unit; the EEG detection module is used to analyze the band characteristics of the cortical EEG signal within a preset band based on the cortical EEG signal and the neural activity information and activity change information of the subcortical brain area, use the band characteristics as the EEG detection result corresponding to the cortical EEG signal, and send the EEG detection result to the wakefulness state evaluation device 70, wherein the band characteristics include at least one of amplitude, frequency, energy value and neural activity change information.

[0056] By adopting this technical solution, the activity characteristics of the cerebral cortex can be analyzed through the EEG signal, and the activity information of the subcortical brain area can be analyzed through the neuron signal acquisition module. Combining the two can more accurately analyze the brain activity characteristics of the target detection object. Considering that EEG information can be divided into iconic specific bands, such as α, β, θ and γ waves, each specific band can be analyzed, thereby finely analyzing the EEG signal in different dimensions.

[0057] Since the eye movement change information can effectively reflect the attention and alertness level of the target detection object, the wakefulness state of the target detection object can be detected based on the eye movement change information. Optionally, the wakefulness state detection system also includes an eye tracking device. The eye tracking device is used to obtain the eye movement change information of the target detection object when it is in a free movement or receiving external stimulation, and send the eye movement change information to the wakefulness state evaluation device; the wakefulness state evaluation device is also used to update the wakefulness state of the target detection object based on the eye movement change information. The eye movement change information includes at least one of pupil diameter change information, pupil displacement information and pupil deflection angle information.

[0058] Optionally, the wakefulness state detection system further includes a target regulation module, wherein the target regulation module is used to regulate the activity state of the target neuron target through in vivo optogenetics technology.

[0059] When the awakening state detection system in the embodiment of the present invention is used for awakening detection, the neurons related to the awakening state can be determined by analyzing the data collected by the system, and the target neuron targets can be set. Then, the activity state of the target neuron targets can be regulated by the target control module based on in vivo optogenetics technology, such as activating neurons or inhibiting neuron activity. The change characteristics of the above indicators of the target detection object during the process from anesthesia to awakening can be analyzed, and the awakening state can be further evaluated, and the evaluation system of the awakening state detection system can also be verified.

[0060] In order to facilitate intuitive understanding of the detection results of the wakefulness state, optionally, the wakefulness state detection system may also include at least one of a display device, a sound playback device, and a wireless communication device. Among them, the display device can be connected to the wakefulness state evaluation device to display the wakefulness state of the target detection object. The sound playback device can be connected to the wakefulness state evaluation device to voice broadcast the wakefulness state of the target detection object. The wireless communication device can be connected to the wakefulness state evaluation device to send the wakefulness state of the target detection object to the target terminal.

[0061] In addition, the display device, the sound playing device and the wireless communication device can also be respectively connected to the physiological index detection device, the body posture detection device, the motor ability detection device, the stimulus response detection device, the emotional response detection device, the behavior pattern detection device, the EEG signal detection device, the eye tracking device and the target control module to display the preset display information of the relevant devices.

[0062] Figure 2 1 is a working principle diagram of the awakening state detection system according to an embodiment of the present invention. Figure 2 As shown, the awakening state detection system of the embodiment of the present invention is particularly suitable for evaluating the awakening state after anesthesia, and mainly includes: (1) Based on the evaluation system of the awakening state detection system of the embodiment of the present invention, the defense reaction induced by visual stimulation is applied to the awakening state judgment process under general anesthesia, and the visual stimulation that can induce the defense reaction is combined with the special brain state induced by general anesthesia; (2) The whole detection system is divided into three stages: awakening, recovery of righting reflex (RORR) and post-RORR. In each stage, visual stimulation is given to the animal at a timely manner, and its behavioral responses are compared with each other; (3) The system simultaneously incorporates basic physiological indicators, behavioral phenotypes, EEG / EMG signal recording, mobile eye tracking, motor ability test, 3D fine behavior analysis, fiber optic recording and optogenetic regulation, etc., which can realize multi-dimensional indicator detection.

[0063] Specifically, physiological monitors are used to monitor the basic physiological indicators of the target detection object (the small animal in the picture) in different states, such as body temperature, blood pressure, heart rate, respiratory rate, and blood oxygen saturation. Using conventional electroencephalogram (EEG) signal acquisition equipment, combined with calcium ion fiber recording or two-photon in vivo calcium imaging technology, the cortical EEG signals of animals in different states and the neural activity and activity changes of the subcortical brain area can be obtained in real time, and the amplitude, frequency, energy value and strength of neural activity changes of specific bands (such as α, β, θ and γ waves, etc.) can be analyzed. The cortical and subcortical signals are synchronized in the time dimension through algorithms, and then the correlation between cortical and subcortical activities (such as recovery order and recovery degree) can be analyzed, so as to judge the overall brain wakefulness state of the animal. The ultra-micro and easy-to-compatible eye tracking system independently developed by this laboratory can be used to obtain real-time information on eye movement changes of animals in free activities or receiving external stimuli, which can be used to judge the attention and alertness level of animals. The animal treadmill and rotarod are used to test the movement of animals, including coordination, balance, muscle strength and endurance, etc., and combined with the electromyographic (EMG) signals collected by implanted electrodes, the animal's movement ability in different states can be comprehensively evaluated. The animals are subjected to noxious stimulation (such as tail clamping) at different stages, and the reaction latency, reaction intensity and reaction time required to respond to the stimulation are analyzed to evaluate the pain response of animals at different stages and their ability to process harmful stimulation. By using the Behavior Atlas, a new system for high-precision animal behavior 3D reconstruction and automated phenotyping independently developed by our laboratory, we can collect all-round behavioral videos of animals in free movement or under external stimulation, and then use artificial intelligence algorithms to segment, cluster, reconstruct and annotate the animal's behavior. We can perform a detailed analysis of the animal's behavior and body posture in different states, obtain multi-dimensional information such as the animal's skeleton, body height, deflection angle, movement distance and speed, movement type and frequency, state transition and behavior switching mode, and comprehensively evaluate the animal's behavioral awakening level during the process of anesthesia cessation-RORR-post-RORR until full recovery.

[0064] At the same time, in vivo optogenetics is used to artificially regulate specific targets, such as activating or inhibiting neuronal activity. In the specific operation, first select the target detection object that can make a normal defense response to the approaching upper visual field shadow stimulation (looming) in the awake state ( Figure 2), and then the animals were induced to enter a state of general anesthesia by general anesthetics. After maintaining this state for 30 minutes, the animals were put back into the behavior box and kept in a loss of righting reflex (LORR) posture. Visual stimulation was given again at the moment of RORR and at an appropriate time point thereafter, and the behavioral response was recorded. Under technically permitted and manipulable conditions, the same animal was synchronously recorded and monitored for multi-dimensional indicators, such as a combination of physiological indicator detection + EEG / EMG recording + eye tracking + optogenetic regulation + fine behavioral analysis. Information on multiple dimensions can be obtained from the same individual at the same time, and multi-dimensional information can be matched and correlated on a temporal or spatial scale to comprehensively judge the awakening state of the mouse. If the various level indicators at a certain time point after the end of anesthesia are basically consistent with those in the awake state, it can be considered that the animal has recovered to a normal awakening level at that moment.

[0065] Figure 3 A flowchart of a wakefulness state detection method provided in an embodiment of the present invention. This embodiment is applicable to the case of detecting the wakefulness state of a target detection object. The method can be applied to a wakefulness state detection system, wherein the wakefulness state detection system includes a physiological indicator detection device, a body posture detection device, a motor ability detection device, a stimulus response detection device, an emotional response detection device, a behavior pattern detection device, and a wakefulness state evaluation device. Optionally, the method can be performed by a wakefulness state detection device, which can be implemented in the form of hardware and / or software. The wakefulness state detection device can be configured in the wakefulness state detection system or in an electronic device independent of the wakefulness state detection system, and can also be a program product. Figure 3 As shown, the method includes:

[0066] S201, collecting target physiological indicators of a target detection object through the physiological indicator detection device, generating physiological detection results corresponding to the physiological indicators, and sending the physiological detection results to the wakefulness state evaluation device;

[0067] S202, detecting the body posture of the target detection object through the body posture detection device, generating a posture detection result corresponding to the body posture, and sending the posture detection result to the wakefulness state evaluation device;

[0068] S203, detecting the motion information of the target detection object through the motion ability detection device, generating a motion ability detection result corresponding to the motion information, and sending the motion ability detection result to the wakefulness state evaluation device;

[0069] S204, detecting the emotional information of the target detection object through the emotional response detection device, generating an emotional response detection result corresponding to the emotional information, and sending the emotional response detection result to the wakefulness state evaluation device;

[0070] S205, generating, by the stimulus response detection device, a stimulus response detection result corresponding to the target stimulus signal based on the response information of the target detection object to the target stimulus signal, and sending the stimulus response detection result to the wakefulness state evaluation device, wherein the target stimulus signal includes a harmful stimulus signal;

[0071] S206, detecting the behavior structure and switching pattern of the target detection object through the behavior pattern detection device, generating a behavior pattern detection result corresponding to the behavior phenotype, and sending the behavior pattern detection result to the wakefulness state evaluation device;

[0072] S207. Determine the wakefulness state of the target detection object through the wakefulness state evaluation device based on the received physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection results, the behavior pattern detection results and the emotional reaction detection results, and display the wakefulness state.

[0073] The technical solution of the embodiment of the present invention constructs a complete and multi-dimensional wakefulness state detection system by setting a physiological index detection device, a body posture detection device, a motor ability detection device, a stimulus response detection device, an emotional response detection device and an awakening state evaluation device in the awakening state detection system. Through the physiological index detection device, the body posture detection device, the motor ability detection device, the stimulus response detection device, the emotional response detection device and the behavior pattern detection device, the multi-dimensional indicators of physiological indicators, body posture, movement, stimulus response and emotion can be detected respectively. Then, through the awakening state evaluation device, the physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection device, the emotional response detection results and the behavior pattern detection results are comprehensively analyzed, and the awakening state of the target detection object is more comprehensively detected, which solves the technical problem of inaccurate judgment of the awakening state by a single indicator, and achieves the beneficial effect of improving the detection accuracy of the awakening state, and provides a scientific and effective detection method for studying the neural mechanism of awakening and consciousness state.

[0074] Optionally, the body posture detection device includes a video acquisition module and a posture analysis module.

[0075] Correspondingly, the body posture of the target detection object is detected by the body posture detection device, a posture detection result corresponding to the body posture is generated, and the posture detection result is sent to the wakefulness state evaluation device, including:

[0076] The video acquisition module is used to collect video information of the target detection object in a free activity or external stimulation state, and the video information is sent to the posture analysis module;

[0077] Through the posture analysis module, the posture of the target detection object is identified through the video information and a preset artificial intelligence algorithm to obtain a posture detection result of the target detection object, and the posture detection result is sent to the wakefulness state evaluation device, wherein the posture detection result includes skeleton morphology information and / or body height information.

[0078] Optionally, the motion ability detection device includes a video acquisition module and a motion analysis module. Accordingly, the motion information of the target detection object is detected by the motion ability detection device, a motion ability detection result corresponding to the motion information is generated, and the motion ability detection result is sent to the wakefulness state evaluation device, including:

[0079] The video acquisition module is used to collect the behavior video of the target detection object in a free activity or external stimulation state, and the behavior video is sent to the behavior analysis module;

[0080] Through the behavior analysis module, the behavior of the target detection object in different states is analyzed through the behavior video and the preset artificial intelligence algorithm to obtain the motor ability detection result of the target detection object, and the motor ability detection result is sent to the wakefulness state evaluation device, wherein the motor ability detection result includes at least one of body deflection angle information, movement distance information and movement speed information.

[0081] Optionally, the athletic ability detection device includes a motion detection module and a motion analysis module, and the motion detection module includes at least one of an electromyographic signal acquisition module, an experimental treadmill test module, and a rotarod test module.

[0082] Accordingly, the motion information of the target detection object is detected by the motion ability detection device, a motion ability detection result corresponding to the motion information is generated, and the motion ability detection result is sent to the wakefulness state evaluation device, including:

[0083] Collect the electromyographic signal of the target detection object through the electromyographic signal acquisition module, use the electromyographic signal as a motion detection signal, and send the motion detection signal to the motion analysis module;

[0084] Through the experimental treadmill test module, a running test is performed on the target detection object, and the running test data is used as a motion detection signal, and the motion detection signal is sent to the motion analysis module;

[0085] The target detection object is tested by the rotarod test module, and the rotarod test data is used as a motion detection signal, and the motion detection signal is sent to the motion analysis module;

[0086] The received motion detection signal is analyzed by the motion analysis module to obtain the motion ability detection result of the target detection object, and the motion ability detection result is sent to the wakefulness state evaluation device, wherein the motion ability detection result includes at least one of the muscle strength index, endurance index, coordination index and balance index of the target detection object.

[0087] Optionally, the stimulus response detection device 50 includes a stimulation unit, a response information acquisition unit and a response result detection unit.

[0088] Accordingly, the stimulus response detection device 50 generates a stimulus response detection result corresponding to the target stimulus signal based on the response information of the target detection object to the target stimulus signal, and sends the stimulus response detection result to the wakefulness state evaluation device, wherein the target stimulus signal includes a harmful stimulus signal, including:

[0089] By means of the stimulation unit, in response to the stimulation trigger instruction, a target stimulation signal is generated, and the target stimulation signal is applied to the target detection object, wherein the target stimulation signal includes at least one of a visual stimulation signal, an olfactory stimulation signal, a sensory stimulation signal and an auditory stimulation signal;

[0090] Collecting the response information of the target detection object in response to the target stimulation signal through the response information collection unit, and sending the response information to the response result detection unit;

[0091] The response result detection unit generates a stimulation response detection result corresponding to the target stimulation signal according to the response information, and sends the stimulation response detection result to the wakefulness state evaluation device.

[0092] Optionally, the behavior pattern detection device includes a behavior video acquisition module and a behavior analysis module.

[0093] Accordingly, the behavior pattern detection device detects the behavior structure and switching pattern of the target detection object, generates a behavior pattern detection result corresponding to the behavior phenotype, and sends the behavior pattern detection result to the wakefulness state evaluation device, including:

[0094] The behavior video acquisition module is used to collect the behavior video of the target detection object in a free activity or external stimulation state, and send the behavior video to the behavior analysis module; the behavior analysis module is used to analyze the behavior results and switching patterns of the target detection object in different states through the behavior video and a preset artificial intelligence algorithm to obtain the behavior pattern detection result of the target detection object, and send the behavior pattern detection result to the wakefulness state evaluation device, wherein the behavior pattern detection result includes at least one of the information such as behavior action type information, action frequency information, behavior state transfer information and behavior pattern switching information.

[0095] Optionally, the wakefulness state detection system further includes an electroencephalogram signal detection device. Accordingly, the wakefulness state detection method may further include:

[0096] The EEG signal of the target detection object is detected by the EEG signal detection device, an EEG detection result corresponding to the EEG signal is generated, and the EEG detection result is sent to the wakefulness state evaluation device;

[0097] The wakefulness state evaluation device updates the wakefulness state of the target detection object based on the electroencephalogram detection result.

[0098] Optionally, the cortical EEG signal detection device includes an EEG signal acquisition module, a neuron signal acquisition module and an EEG detection module.

[0099] Correspondingly, the cortical electroencephalogram signal detection device detects the electroencephalogram signal of the target detection object, generates an electroencephalogram detection result corresponding to the cortical electroencephalogram signal, and sends the electroencephalogram detection result to the wakefulness state evaluation device, including:

[0100] Collecting the cortical EEG signals of the target detection object through the cortical EEG signal acquisition module, and sending the cortical EEG signals to the EEG detection module;

[0101] Obtaining the neural activity information and activity change information of the subcortical brain area of ​​the target detection object through the neural signal acquisition module, and sending the neural activity information and the activity change information to the electroencephalogram detection module, wherein the neural signal acquisition module includes a calcium ion optical fiber recording unit and / or a two-photon in vivo calcium imaging unit;

[0102] Through the EEG detection module, the band characteristics of the cortical EEG signal within a preset band are analyzed based on the cortical EEG signal, the neural activity information of the subcortical brain area and the activity change information, the band characteristics are used as the EEG detection results corresponding to the cortical EEG signal, and the EEG detection results are sent to the wakefulness state evaluation device, wherein the band characteristics include at least one of the amplitude, frequency, energy value and the change information of the neural activity.

[0103] Optionally, the wakefulness state detection system further includes an eye tracking device. Accordingly, the wakefulness state detection method may further include:

[0104] Through the eye tracking device, eye movement change information of the target detection object when it is freely moving or receiving external stimulation is obtained, and the eye movement change information is sent to the wakefulness state evaluation device, wherein the eye movement change information includes at least one of pupil diameter change information, pupil displacement information and pupil deflection angle information; the wakefulness state evaluation device is also used to update the wakefulness state of the target detection object based on the eye movement change information.

[0105] Optionally, the wakefulness state detection system further includes a target control module. Accordingly, the wakefulness state detection method may further include:

[0106] The target regulation module is used to regulate the activity state of the target neuron target through in vivo optogenetics technology.

[0107] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0108] like Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0109] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0110] The processor 11 may be a variety of general and / or dedicated processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method of awakening state detection.

[0111] In some embodiments, the method wake-up state detection may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method wake-up state detection described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method wake-up state detection in any other appropriate manner (e.g., by means of firmware).

[0112] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, at least one input device, and at least one output device.

[0113] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0114] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0115] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0116] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0117] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0118] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0119] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A wakefulness state detection system, characterized in that: include: Physiological index detection device, body posture detection device, motor ability detection device, stimulus response detection device, behavior pattern detection device, emotional response detection device and wakefulness state evaluation device; among them, The physiological index detection device is used to collect the target physiological index of the target detection object, generate a physiological detection result corresponding to the physiological index, and send the physiological detection result to the wakefulness state evaluation device; The body posture detection device is used to detect the body posture of the target detection object, generate a posture detection result corresponding to the body posture, and send the posture detection result to the wakefulness state evaluation device; The motor ability detection device is used to detect the motor information of the target detection object, generate a motor ability detection result corresponding to the motor information, and send the motor ability detection result to the wakefulness state evaluation device; The emotional response detection device is used to detect emotional information of the target detection object, generate an emotional response detection result corresponding to the emotional information, and send the emotional response detection result to the wakefulness state evaluation device; The stimulus response detection device is used to generate a stimulus response detection result corresponding to the target stimulus signal based on the response information of the target detection object to the target stimulus signal, and send the stimulus response detection result to the wakefulness state evaluation device, wherein the target stimulus signal includes a harmful stimulus signal; The behavior pattern detection device is used to detect the behavior structure and switching pattern of the target detection object, generate a behavior pattern detection result corresponding to the behavior phenotype, and send the behavior pattern detection result to the wakefulness state evaluation device; The wakefulness state evaluation device is used to determine the wakefulness state of the target detection object based on the received physiological detection results, posture detection results, motor ability detection results, stimulus response detection results, emotional response detection results and behavior pattern detection results, and display the wakefulness state; wherein, The body posture detection device includes a video acquisition module and a posture analysis module; the video acquisition module of the body posture detection device is used to collect video information of the target detection object in a free activity or external stimulation state, and send the video information to the posture analysis module; the posture analysis module is used to identify the posture of the target detection object through the video information and a preset artificial intelligence algorithm to obtain a posture detection result of the target detection object, and send the posture detection result to the awakening state evaluation device, wherein the posture detection result includes skeleton morphology information and / or body height information; The motor ability detection device includes a video acquisition module and a motion analysis module; the video acquisition module on the motor ability detection device is used to collect the behavior video of the target detection object in a free activity or external stimulation state, and send the behavior video to the motion analysis module; the motion analysis module is used to analyze the motion state of the target detection object in different states through the behavior video and a preset artificial intelligence algorithm to obtain the motor ability detection result of the target detection object, and send the motor ability detection result to the awakening state evaluation device; The behavior pattern detection device includes a behavior video acquisition module and a behavior analysis module; the behavior video acquisition module of the behavior pattern detection device is used to collect the behavior video of the target detection object in a free activity or external stimulation state, and send the behavior video to the behavior analysis module; the behavior analysis module is used to analyze the behavior results and switching modes of the target detection object in different states through the behavior video and a preset artificial intelligence algorithm to obtain the behavior pattern detection result of the target detection object, and send the behavior pattern detection result to the wakefulness state evaluation device, wherein the behavior pattern detection result includes at least one of behavior action type information, action frequency information, behavior state transition information and behavior pattern switching information; The stimulus response detection device includes a stimulation unit, a response information collection unit and a response result detection unit; the stimulation unit is used to generate a target stimulation signal in response to a stimulation trigger instruction, and apply the target stimulation signal to the target detection object, wherein the target stimulation signal includes at least one of a visual stimulation signal, an olfactory stimulation signal, a pain stimulation signal and an auditory stimulation signal; the response information collection unit is used to collect response information of the target detection object in response to the target stimulation signal, and send the response information to the response result detection unit; the response result detection unit is used to generate a stimulation response detection result corresponding to the target stimulation signal according to the response information, and send the stimulation response detection result to the wakefulness state evaluation device.

2. The wakefulness state detection system according to claim 1, characterized in that: The sports ability detection device includes a sports detection module and a sports analysis module, wherein the sports detection module includes at least one of an electromyographic signal acquisition module, an experimental treadmill test module and a rotarod test module, wherein: The electromyographic signal acquisition module is used to acquire the electromyographic signal of the target detection object, use the electromyographic signal as a motion detection signal, and send the motion detection signal to the motion analysis module; The experimental treadmill test module is used to perform a running test on the target detection object, and use the running test data as a motion detection signal, and send the motion detection signal to the motion analysis module; The rotarod test module is used to test the target detection object, use the rotarod test data as a motion detection signal, and send the motion detection signal to the motion analysis module; The motion analysis module is used to analyze the received motion detection signal to obtain the motion ability detection result of the target detection object, and send the motion ability detection result to the wakefulness state evaluation device, wherein the motion ability detection result includes at least one of the muscle strength index, endurance index, coordination index and balance index of the target detection object.

3. The wakefulness state detection system according to claim 1, characterized in that: Also includes: An electroencephalogram signal detection device, wherein: The EEG signal detection device is used to detect the EEG signal of the target detection object, generate an EEG detection result corresponding to the EEG signal, and send the EEG detection result to the wakefulness state evaluation device; The wakefulness state evaluation device is further used to update the wakefulness state of the target detection object based on the EEG detection result.

4. The wakefulness state detection system according to claim 3, characterized in that: The EEG signal detection device includes an EEG signal acquisition module, a neuron signal acquisition module and an EEG detection module, wherein: The EEG signal acquisition module is used to acquire the cortical EEG signal of the target detection object and send the cortical EEG signal to the EEG detection module; The neuron signal acquisition module is used to obtain the neural activity information and activity change information of the subcortical brain area of ​​the target detection object, and send the neural activity information and the activity change information to the EEG detection module, wherein the neuron signal acquisition module includes a calcium ion fiber recording unit and / or a two-photon in vivo calcium imaging unit; The EEG detection module is used to analyze the band characteristics of the cortical EEG signal within a preset band based on the cortical EEG signal, the neural activity information of the subcortical brain area and the activity change information, use the band characteristics as the EEG detection results corresponding to the cortical EEG signal, and send the EEG detection results to the wakefulness state evaluation device, wherein the band characteristics include at least one of amplitude, frequency, energy value and neural activity change information.

5. The wakefulness state detection system according to claim 1, characterized in that: Also includes: An eye tracking device, wherein The eye tracking device is used to obtain eye movement change information of the target detection object when the target detection object is in a state of free movement or receiving external stimulation, and send the eye movement change information to the wakefulness state evaluation device; wherein the eye movement change information includes at least one of pupil diameter change information, pupil displacement information and pupil deflection angle information; The wakefulness state evaluation device is further used to update the wakefulness state of the target detection object based on the eye movement change information.

6. The wakefulness state detection system according to claim 1, characterized in that: Also includes: Target regulation module, including: The target regulation module is used to regulate the activity state of the target neuron target through in vivo optogenetic technology.

7. A method for detecting a wakefulness state, characterized in that: Applied to an awakening state detection system, the awakening state detection system includes a physiological index detection device, a body posture detection device, a motor ability detection device, a behavior pattern detection device, a stimulus response detection device, an emotional response detection device and an awakening state evaluation device; the body posture detection device includes a video acquisition module and a posture analysis module; the motor ability detection device includes a video acquisition module and a motion analysis module; the behavior pattern detection device includes a behavior video acquisition module and a behavior analysis module; The stimulus response detection device comprises a stimulus unit, a response information acquisition unit and a response result detection unit; The awakening state detection method comprises: The target physiological index of the target detection object is collected through the physiological index detection device, and a physiological detection result corresponding to the physiological index is generated, and the physiological detection result is sent to the wakefulness state evaluation device; The body posture detection device detects the body posture of the target detection object, generates a posture detection result corresponding to the body posture, and sends the posture detection result to the wakefulness state evaluation device; The motion information of the target detection object is detected by the motion ability detection device, a motion ability detection result corresponding to the motion information is generated, and the motion ability detection result is sent to the wakefulness state evaluation device; The emotional response detection device detects emotional information of the target detection object, generates an emotional response detection result corresponding to the emotional information, and sends the emotional response detection result to the wakefulness state evaluation device; The behavior pattern detection device detects the behavior structure and switching pattern of the target detection object, generates a behavior pattern detection result corresponding to the behavior phenotype, and sends the behavior pattern detection result to the wakefulness state evaluation device; By means of the stimulus response detection device, based on the response information of the target detection object to the target stimulus signal, a stimulus response detection result corresponding to the target stimulus signal is generated, and the stimulus response detection result is sent to the wakefulness state evaluation device, wherein the target stimulus signal includes a harmful stimulus signal; The wakefulness state evaluation device determines the wakefulness state of the target detection object based on the received physiological detection results, the posture detection results, the motor ability detection results, the stimulus response detection results, the behavior pattern detection results and the emotional response detection results, and displays the wakefulness state; wherein, The video acquisition module of the body posture detection device collects video information of the target detection object in a free activity or external stimulation state, and sends the video information to a posture analysis module; the posture analysis module identifies the posture of the target detection object according to the video information and a preset artificial intelligence algorithm to obtain a posture detection result of the target detection object, and sends the posture detection result to the wakefulness state evaluation device, wherein the posture detection result includes skeleton morphology information and / or body height information; The video acquisition module of the motor ability detection device collects the behavior video of the target detection object in a free activity or external stimulation state, and sends the behavior video to the motion analysis module; the motion analysis module analyzes the motion state of the target detection object in different states according to the behavior video and a preset artificial intelligence algorithm to obtain the motor ability detection result of the target detection object, and sends the motor ability detection result to the wakefulness state evaluation device; The behavior video acquisition module of the behavior pattern detection device collects the behavior video of the target detection object in a free activity or external stimulation state, and sends the behavior video to the behavior analysis module; the behavior analysis module analyzes the behavior results and switching modes of the target detection object in different states according to the behavior video and a preset artificial intelligence algorithm to obtain the behavior pattern detection result of the target detection object, and sends the behavior pattern detection result to the wakefulness state evaluation device, wherein the behavior pattern detection result includes at least one of behavior action type information, action frequency information, behavior state transition information and behavior pattern switching information; Through the stimulation unit, in response to the stimulation trigger instruction, a target stimulation signal is generated, and the target stimulation signal is applied to the target detection object, wherein the target stimulation signal includes at least one of a visual stimulation signal, an olfactory stimulation signal, a pain stimulation signal and an auditory stimulation signal; through the response information acquisition unit, response information of the target detection object in response to the target stimulation signal is collected, and the response information is sent to the response result detection unit; through the response result detection unit, a stimulation response detection result corresponding to the target stimulation signal is generated according to the response information, and the stimulation response detection result is sent to the wakefulness state evaluation device.

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