158 results about "Psychological stress" patented technology

The invention discloses a psychological stress detection method and device, equipment and a storage medium. The method comprises the following steps: acquiring facial image information of a to-be-detected user; inputting the face image information into a preset face video coding network, and outputting a coding feature vector; detecting whether the facial image information contains a preset facial action, and outputting an action feature vector according to a detection result corresponding to the preset facial action; detecting whether the facial image information contains a preset facial emotion, and outputting an emotion feature vector according to a detection result corresponding to the preset facial emotion; and according to the coding feature vector, the action feature vector and the emotion feature vector, generating a psychological stress detection result corresponding to the to-be-detected user, and completing psychological stress detection of the to-be-detected user. The method is not only suitable for medical scenes, but also can be widely applied to other high-concurrency scenes, such as education scenes. According to the method, the psychological stress of the user can be recognized in time, so that more targeted help is provided.

The invention relates to a hearing-aid debugging method and system, and the method comprises the steps: obtaining a reference parameter of a hearing-aid, applying the reference parameter to the hearing-aid, enabling the hearing-aid to have an initial reference value before the parameter adjustment, guaranteeing that the result is not deviated in the subsequent debugging process, and improving the debugging efficiency. The change conditions of the emotion balance index and the psychological pressure index when the debugger wears the hearing aid to carry out the hearing test are taken as the basis for adjusting the parameters of the hearing aid, so that feedback can be quickly obtained without language communication with the debugger, and the emotion level and the psychological pressure level when the debugger wears the hearing aid can be known in real time; and parameters of the hearing aid can be adjusted in time according to the information, so that the hearing feeling of a debugger is improved. In the hearing aid parameter adjustment process, the hearing aid parameters are subjected to coarse adjustment and fine adjustment in sequence through two different stride adjustment modes, the most comfortable hearing area of a debugged person can be approached at the fastest speed, and the accuracy of the finally obtained hearing aid parameters is improved.

The invention provides an online examination cheating behavior detection method and system, and relates to the technical field of examination behavior detection, and the specific steps are as follows: collecting answer texts of examinees in real time, analyzing the answer texts of the examinees by using an NLP technology, and calculating the plagiarism probability of the answer texts by comparing the texts with data in a database; monitoring the network activity of the examinee, analyzing the network behavior mode of the examinee, and calculating the abnormal behavior mode index of the examinee; physiological data of examinees are collected, and psychological stress indexes of the examinees are calculated; calculating a comprehensive evaluation index by using weighted average, comparing the comprehensive evaluation index with an examination cheating threshold value, and judging that the behavior is cheating if the comprehensive evaluation index exceeds the threshold value; according to the invention, the behaviors of examinees are monitored in all directions, and a three-dimensional cheating detection system is provided; the artificial intelligence technology is applied, answer texts, network activities and psychological stress indexes are automatically analyzed, dependence on manual invigilation is reduced, and the monitoring efficiency and accuracy are improved; and cheating behaviors can be found in time.

The invention provides a non-contact pressure and fatigue state identification method based on double-indication joint reasoning, and relates to the field of psychological and physiological analysis, and the method comprises the steps: collecting a face visible light video and a first EDA signal; extracting an rPPG signal and a first facial behavior indication sequence; processing the signal amplitudes of the first EDA signal and the first facial behavior indication sequence to obtain a target EDA signal and a target behavior indication sequence; inputting the rPPG signal and the target behavior indication sequence into a fatigue detection model to obtain fatigue information; inputting the rPPG signal and the target EDA signal into a psychological stress detection model to obtain psychological stress information; and synchronously outputting and displaying the fatigue information and the psychological pressure information based on a preset signal waveform comparison display area. The psychological stress state and the fatigue state are analyzed at the same time, double indications are used for comprehensive consideration, cross-scene state fluctuation is identified, and the precision and efficiency of psychological stress state and fatigue state analysis can be effectively improved.

The invention discloses a lung cancer patient psychological health assessment intervention system based on a virtual platform, and belongs to the field of psychological health. A lung cancer patient psychological health assessment intervention system based on a virtual platform comprises a virtual environment creating module, a psychological state monitoring module, a psychological health assessment module and a psychological health intervention module. The problem that an existing mental health assessment and intervention mode is limited is solved, an immersive environment is created through the virtual reality technology, a real lung cancer patient treatment scene is restored, a basis is provided for accurate assessment, psychological state assessment is more accurate by comprehensively obtaining multi-dimensional data such as physiology, voice and actions of a patient in real time, and the accuracy of assessment is improved. The emotion type and the psychological problem severity are quickly and accurately recognized through the constructed psychological health assessment model, a scientific basis is provided for subsequent intervention, a personalized scheme is formulated according to an assessment result, and the psychological stress of a patient can be effectively relieved by combining virtual role interaction.

The invention discloses a sleep aiding method and system based on brain wave data, and the method comprises the steps: synchronously collecting brain waves, electrocardiosignals, environmental noise and user voice data through a flexible electrode array, constructing a multi-mode causal graph, and dynamically recognizing the type of a noise source (electromagnetic interference or psychological noise); the method comprises the following steps of: generating a target antagonistic intervention signal (such as reverse sound wave counteracting electromagnetic noise and binaural rhythm relieving psychological pressure) according to the target antagonistic intervention signal, generating dynamically adaptive light pulse and tactile vibration parameters in combination with a psychological-physiological collaborative model, and synchronously outputting sound, light and tactile intervention signals through a multi-modal actuator. Through causal reasoning and multi-sensory cooperative regulation and control technologies, accurate inhibition of noise interference and personalized induction of the sleep state are realized, the sleep time is remarkably shortened, the deep sleep duration is prolonged, and the method is particularly suitable for complex noise environments and anxiety-related insomnia scenes.

The invention relates to the technical field of data processing, in particular to a lifelong learning platform based on a multi-modal large model, and the platform comprises a cognitive modal analysis module which analyzes the cognitive state of user learning in real time; according to the system, key physiological signal indexes in the learning process of the user are captured in real time, the attention level, cognitive load and psychological pressure states of the user are deduced, the user experience and natural interaction ability are improved, the real cognitive state of the user is perceived, and the user experience is improved. The content difficulty is automatically adjusted in real time, decompression suggestions are pushed or personalized auxiliary strategies are triggered, cognition-emotion-behavior three-in-one adjustment is achieved, the problem that during resource pushing, manual labels and simple behavior records are depended on is solved, and resource pushing efficiency is improved by constructing an interactive neuroplasticity knowledge network diagram. The cognitive activity and the psychological load state in the learning process are reflected in real time, and the psychological fatigue of the user can be recognized.

The invention discloses a premature infant mother psychological intervention effect assessment method and system, and relates to the technical field of psychological assessment. A premature infant mother psychological intervention effect evaluation system comprises a data arrangement module and an effect evaluation module. By analyzing the behavior analysis data set and the face analysis data set of the evaluated mother at the same time, the psychological state of the mother can be comprehensively evaluated from multiple angles; the behavior analysis model and the face analysis model respectively provide independent evaluation of behavior performance and emotional response, so that the evaluation result is more comprehensive and accurate, and the emotional fluctuation and psychological change of the mother and the response to the premature infant can be effectively identified; through multi-level and multi-dimensional behavior analysis, the mood, psychological stress and behavior mode of the mother are deeply recognized, the behavior mode of the mother is considered, the internal mechanism of the mood can be deeply discussed, and therefore powerful data support is provided for psychological intervention.

The invention discloses a psychological relieving scheme determination method, system, equipment and medium, and relates to the technical field of psychological analysis, and the method comprises the steps: obtaining psychological health assessment data, collecting voice and video information of a user, and carrying out the text and video combined processing of the voice and video information, thereby obtaining a psychological relieving scheme; and analyzing a change relationship among the facial expressions, actions and emotion features, combining the change relationship with the psychological health assessment data, analyzing to obtain psychological stress information of the user, and determining a psychological soothing scheme based on the psychological stress information. According to the method, the pre-filled psychological health evaluation data is combined with the voice text collected in real time, so that earlier-stage historical data acquisition and user state acquisition in evaluation are realized, psychological pressure information of the user can be more accurately shown, and a psychological relieving scheme can be better selected.

The invention discloses a pet physiological and psychological collaborative treatment system and method, and relates to the technical field of pet medical treatment, and the method comprises the following steps: continuously obtaining first behavior data, first respiration data and first physiological data of a pet at a time window; performing spatio-temporal change analysis on the first behavior data to obtain second behavior data representing behavior complexity; and performing nonlinear calculation on the first breathing data and the second behavior data to obtain second breathing data. According to the scheme, abnormal fluctuation caused by psychological factors is effectively separated through phase difference analysis and nonlinear calculation, in addition, judgment standards can be adaptively adjusted according to individual differences through dynamic clustering and mapping modeling, the suitability of a treatment scheme is remarkably improved, and accurate recognition and quantitative evaluation of the psychological stress state of the pet are achieved.

The invention discloses a cardiac patient personalized rehabilitation plan generation and optimization method, and relates to the technical field of medical treatment, and the method comprises the steps: S1, carrying out the real-time collection and analysis of the physiological parameters and behavior patterns of a patient based on multi-source data, S2, monitoring the psychological state of the patient through psychological scale evaluation and an emotion calculation model, s3, dynamically adjusting the personalized rehabilitation plan according to the psychological state to reduce sympathetic nerve hyperexcitation; S4, optimizing the rehabilitation plan based on patient feedback and clinical data; according to the personalized rehabilitation plan generation and optimization method for the heart disease patient, a comprehensive rehabilitation management scheme is provided for the heart disease patient, potential inducements of cardiovascular events are effectively reduced, the heart burden is relieved, and an important guarantee is provided for long-term rehabilitation of the patient; and the psychological state of the patient is dynamically monitored and actively intervened to regulate and control so as to solve the problem of hyperexcitation of sympathetic nerves caused by psychological stress.

The invention, which relates to the technical field of artificial intelligence, discloses an AI-driven student behavior analysis and early warning system comprising a behavior data acquisition module, a behavior feature extraction module, a psychological analysis module, a psychological pre-diagnosis module, a psychological health management module and a map drawing module. The behavior data acquisition module acquires physiological and spatial trajectory data of students, the behavior feature extraction module extracts physiological rhythm and behavior pattern features, the psychological analysis module analyzes psychological stress indexes and social behavior abnormality, and the psychological pre-diagnosis module generates psychological health risk indexes. The psychological health management module implements graded early warning and closed-loop feedback, and the map drawing module performs multi-dimensional visual monitoring. Through the multi-modal data fusion and deep learning technology, real-time accurate analysis of student behaviors is realized, the early warning threshold is dynamically optimized, multi-dimensional visual support is provided, the psychological health problem recognition accuracy is remarkably improved, education managers are assisted in timely intervention, and physical and psychological health development of students is promoted.

The invention provides a personnel psychological pressure grading evaluation method based on expiratory VOCs. The method comprises the following steps: step 1, constructing an expiratory VOCs original sample data set; and step 2, performing imaging processing on expiration VOCs sample data in the original sample data set based on a Grubby angle field. And 3, establishing a psychological stress evaluation algorithm model framework. Step 4. And training the psychological stress evaluation algorithm model to obtain a trained model framework. And 5, reading a test data set, inputting the test data set into the model framework trained in the step 4 for classification, calculating to obtain an output category, and calculating psychological stress evaluation indexes. According to the method, expiratory gas VOCs information is utilized, expiratory gas VOCs sample time sequence data is converted into two-dimensional image data, the feature extraction capacity is improved, the advantages of deep learning and computer vision are fully utilized in psychological stress grading evaluation, and therefore high-precision and efficient psychological stress grading evaluation is achieved.

The invention relates to the technical field of psychology and physiology monitoring and data analysis, in particular to an artificial intelligence dynamic pressure emotion analysis method and system, and the method comprises the steps: collecting the physiological data and limb movement data of a student when the student carries out dangerous homework; based on a preset algorithm, the physiological data and the limb movement data are analyzed, whether the student has negative emotions or not is judged, and the negative emotions include anxiety, tension, fear, anger and cackie; when a negative emotion exists, an early warning signal is sent in a matched mode, a response program is started, and related personnel terminals are notified, and the related personnel terminals comprise a user terminal, a rescue personnel terminal and a student terminal; and generating a health feedback report and sending the health feedback report to a user side, wherein the user side comprises a teacher side, an instructor side and a project group leader side. The method has the effect of efficiently monitoring and analyzing the psychological stress and emotional state of large-scale crowds in real time in a complex and high-risk working environment, especially in educational practice training and emergency situations.

The invention relates to the technical field of patient psychological nursing, in particular to a neurology patient psychological nursing analysis system and method based on an intelligent chip, and the method comprises the steps: analyzing the difference degree of the physiological characteristics of an anxiety patient before and after an operation based on preoperative physiological characteristic data and postoperative physiological characteristic data; based on the symptom reaction data and the operation data of the anxiety patient, analyzing the operation complexity of the anxiety patient; according to the physiological feature difference degree analysis result before and after the operation and the operation complexity degree analysis result, the psychological stress risk of the anxiety disorder patient is evaluated; according to the psychological stress risk assessment result, patient psychological nursing early warning is given to medical staff, by accurately quantifying the psychological stress risk, the high-risk patient can be recognized in the early stage, postoperative acute anxiety, delirium and other complications are avoided, and the operation safety and rehabilitation quality are remarkably improved.

The application discloses a kind of equipment for limb training in intensive care unit, the side of square plate is fixedly connected with rotating frame, the inner wall of rotating frame is rotatably connected with rotating shaft, the surface of rotating shaft is fixedly connected with rotating rod, rotating rod can adjust the distance between each finger sleeve, the end of rotating rod away from rotating frame is fixedly connected with first spring, the end of first spring away from rotating rod is fixedly connected with finger sleeve, the end of rotating shaft away from finger sleeve is fixedly connected with rotating disc, the arc surface of rotating disc is rotatably connected with multiple limit plates, first elastic plate can push limit plate to turn back original angle, can make rotating rod rotate according to the size of patient's hand, so as to adjust every two adjacent finger sleeve to appropriate interval, when patient inserts finger in finger sleeve, patient's finger can be opened, rehabilitation exercise is used, early rehabilitation exercise is carried out, it is significant to recover muscle strength physical ability, shorten hospitalization day, reduce ICU related psychological stress disorder etc.

The invention provides a psychological stress assessment method and system based on skin electric signal image coding, relates to the technical field of physiological signal analysis, and aims to solve the problem that in the prior art, the calculation process of complex nonlinear features in the time domain and the frequency domain of skin electric signals is complex and tedious. Non-linear changes of signals in a pressure state cannot be captured only depending on linear features, psychological pressure recognition precision is low, and robustness is poor. The method comprises the following steps: acquiring skin electric signals, carrying out preprocessing and Fourier transform to obtain a time sequence and a frequency spectrum sequence, coding the time sequence and the frequency spectrum sequence by adopting multiple coding methods to obtain multiple different coded images, extracting texture features of the coded images, selecting, constructing an optimal feature set, inputting the optimal feature set into a support vector machine, and carrying out image fusion. And obtaining an assessment result of the psychological stress state. Potential complex nonlinear characteristics in the time domain and the frequency domain of the skin electric signals are efficiently and comprehensively excavated, and the accuracy of psychological stress recognition is improved.

The invention discloses a man-machine dialogue psychological stress identification and intervention method and system, a medium and a product, and relates to the field of natural language data processing, and the method comprises the steps: carrying out man-machine dialogue based on a man-machine dialogue strategy through employing a preset man-machine dialogue model; acquiring a multi-modal signal of the detected object in a man-machine conversation process in real time, and performing feature extraction and mapping on the multi-modal signal to obtain a multi-modal fusion answer space; performing psychological stress identification on the multi-modal fusion answer space to obtain a real-time psychological stress level of the tested object; a man-machine conversation strategy of the man-machine conversation model is adaptively adjusted according to the real-time psychological stress level; and executing corresponding operation based on the adjusted man-machine dialogue strategy by utilizing the man-machine dialogue model. The accuracy and robustness of psychological pressure recognition are improved, the man-machine conversation strategy can be automatically adjusted according to the recognition result, and the emotional stability and psychological assistance value of man-machine conversation are improved.

This invention discloses an intelligent health education method, device, equipment, and storage medium for gynecological tumor patients. The method acquires the patient's electronic medical record information and patient interaction data. Based on the electronic medical record information, it identifies the gynecological tumor disease type and treatment stage tags. Based on the patient interaction data, it specifically identifies psychological stress signals related to gynecological tumor treatment, generating a profile of the patient's current psychosomatic state. It matches and dynamically generates personalized health education content and psychological counseling plans from a structured knowledge base. Based on the patient's treatment data, it automatically generates reminders for medication and follow-up examinations. It structurally correlates the output records of personalized health education content and the patient's feedback data on the reminders to form a digital pathmap for patient education. This enables dynamic matching and personalized generation of health education content and psychological counseling plans, improving the patient's cognitive adaptability to health information and the effectiveness of psychological support, achieving closed-loop management throughout the entire hospital and inpatient cycle.

The present invention belongs to the field of psychological stress technology, and in particular to a psychological stress relief device, comprising a hugging dummy, chin rests fixed on the shoulders of both sides of the hugging dummy, and a music player fixed on the surface of the chin rest, and also comprising a relief mechanism installed inside the hugging dummy. Through the relief mechanism, the device can reflect the degree of psychological stress of the user according to the different pressures applied by the user to the surface of the extrusion plate, and use corresponding psychological counseling strategies to effectively relieve the psychology, and effectively relieve the psychological stress of the user through the coordination of hearing and smell. It can extract air filled with aromatherapy inside the inner frame, speed up the circulation speed of the gas inside the gas pipe, so that the aroma produced by the aromatherapy candle can be dissipated faster and smelled by the user, and can slightly heat the inner wall surface of the chin rest, so that the chin rest is more adapted to the user's body temperature and improve the user's comfort.

The invention provides a personalized psychological stress adaptive identification method based on artificial intelligence, and relates to the field of personalized stress identification. According to the invention, a variational instance adaptive pressure VIASTress framework is designed: a multi-modal domain generalization strategy is integrated in a multi-modal encoder, so that features extracted by the encoder have certain domain invariant characteristics, and pressure and non-pressure state features of different individuals are easier to distinguish. A variational instance adaptive strategy is integrated in a classifier, the strategy uses variational reasoning, an individual physiological signal instance and variational distribution to approximate individual physiological feature actual distribution, and latent variables sampled from variational distribution are used as a classifier weight adaptive basis; in this way, the model can generate decision boundaries suitable for the current individual when facing different individuals. The decision boundary is adaptively adjusted through combination of multi-modal domain generalization and variational instances, and the performance of individual pressure identification under the condition of distribution offset can be improved.

The invention discloses a multistage psychological stress inducing method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring resting psychological stress information of a tested object in a practice state; based on the resting psychological stress information, determining grade information of stress induction contents of the subject in at least two induction stages, wherein the grade information of the stress induction contents in different induction stages is different; in each inducing stage, displaying the stress inducing contents of different levels of information to the tested object, and obtaining different levels of psychological stress information of the tested object based on an interaction process between the stress inducing contents and the tested object; for any inducing stage, the physiological signal data of the tested object in the inducing stage process and the subjective description information of the tested object after the inducing stage is finished are obtained, the psychological stress information of the tested object in the inducing stage is determined based on the physiological signal data and the subjective description information, and inducing of the multi-stage psychological stress of the tested object is achieved.

The present invention discloses a suicide risk detection method based on social network media posting information. Firstly, the correlation between the user's normal posts and the hidden comments in the tree hole is understood, and the user's true thoughts and emotional changes are understood from the user's public posts to predict psychological pressure; then, the user's suicide risk is detected based on this.

This application provides a health data processing method and terminal based on an ear-worn wearable device, belonging to the field of health data technology. The method collects ear acupoint health data and the carbon monoxide concentration in the user's exhaled breath. Based on the health data, it determines psychological stress data. When a psychological stress parameter exceeding a psychological stress threshold is found, target control information corresponding to the psychological stress data is determined. When the number of stimulators controlled by the target control information exceeds a certain threshold, a reminder message is sent to the user, and ear acupoint stimulation is performed based on the target control information until the detected psychological stress data returns to normal. This solution acquires and analyzes various health data from the user's ear, provides visual analysis results to the user, and simultaneously uses sensors to generate pressure or electrical stimulation of ear acupoints based on the analysis results, cycling until the data returns to normal, thus providing beneficial regulation through health warnings and feedback stimulation.

This invention provides a head positioning device for neurosurgical testing, belonging to the technical field of neurosurgical medical equipment. It includes a housing, with a first electric slide rail nested at the front end of the housing. A head fixation mechanism is installed at the output end of the first electric slide rail. A second electric slide rail is laterally installed at the front end of the housing. The head fixation mechanism is used to position and fix the patient's head. A noise reduction mechanism is installed at the front end of the housing, positioned below the head fixation mechanism. This noise reduction mechanism is used to fix the ears on both sides of the patient's head and reduce noise to alleviate the patient's anxiety. This invention solves the problems of physical sound insulation and psychological stress by fixing the patient's ears on both sides through the noise reduction mechanism. The bite fixation mechanism allows the patient's mouth to bite down on the bite device and supports the patient's jaw, preventing slight head movement and effectively improving the stability of the test data.

The invention relates to the technical field of electronics, in particular to a sleep regulation strategy generation method and wristband device.The sleep regulation strategy generation method comprises the steps that first physiological signal data of a user in multiple time subunits are obtained; determining a first pressure state of each time subunit based on the first physiological signal data; when the first pressure state is greater than a preset pressure value, executing a preset target intervention strategy; acquiring a second pressure state of the user after intervention of each target intervention strategy; and determining a sleep regulation strategy according to all the first pressure states and the second pressure states. The invention mainly aims to provide a sleep regulation strategy generation method, and aims to perform targeted intervention and regulation aiming at the psychological stress of a user every day, so that the emotion of the user is relieved, and the sleep quality is improved.

This invention discloses a method for calculating stress age based on saliva extraction, belonging to the field of data processing technology. It includes collecting saliva samples and personal data from individuals, including individual characteristics, physiological data, and behavioral data; obtaining telomere detection data from the saliva samples; analyzing the telomere detection data, physiological data, and behavioral data to obtain telomere-related data; and generating a test report based on the telomere-related data. This method achieves the scientific quantification of emotional and psychological stress, and compared to traditional scales, the test results are more scientific and accurate.

The invention relates to a flight load-based multi-mode pilot physical and psychological state evaluation method and system, and belongs to the field of aviation medicine training. Comprising the steps that multi-mode physiological signals of pilots in a resting state are collected and preprocessed, resting physical and psychological state physiological indexes are extracted, and an individual resting baseline value of each pilot is calculated based on the resting physical and psychological state physiological indexes; wherein the multi-modal physiological signals comprise electrocardio signals, respiratory waves, myoelectricity signals and electroencephalogram signals; the method comprises the following steps: collecting and preprocessing multi-modal physiological signals of a pilot after flight, and extracting physical and mental state physiological indexes after flight; based on the physical and mental state physiological indexes after flight and the individual resting baseline value, the multi-dimensional recovery degree after flight of the pilot is calculated; generating a pilot physical and psychological state evaluation result based on the multi-dimensional recovery degree; wherein the multi-dimensional recovery degree comprises at least one of a brain nerve state recovery degree, an autonomic nerve state recovery degree, a psychological stress and stress recovery degree, a cardiovascular system recovery degree and a muscle state recovery degree.

The invention relates to the technical field of psychological state assessment, in particular to a hierarchical beauty demand assessment method and device based on psychological stress, and the method comprises the steps: constructing an interactive video library containing multi-stage beauty state changes; synchronously collecting electrocardiosignals when a user watches and extracting heart rate variability characteristics; according to the timestamp of the interactive video and the heart rate variability feature corresponding to the timestamp, constructing a mapping relation between the video content and the psychological stress value; and generating an evaluation result by combining the selection of the user in the interactive video library and the mapping relationship of the psychological pressure values. The psychological stress of the user is quantified through physiological indexes such as heart rate variability, and subjective requirements of beauty treatment of the user are quantitatively evaluated through the psychological stress of the user. Compared with a traditional evaluation method through questionnaires or interviews, the accuracy of subjective demand evaluation of the beauty of the user is improved by introducing objective physiological index monitoring, and evaluation deviation caused by problems such as social pressure and environmental interference is remarkably reduced.

The application discloses a kind of based on social stress AD mouse depression comorbidity model construction method and application, belong to biological medicine technical field.The CD-1 mouse with attack is placed in standard cage and is raised, 3xTg mouse is transferred to the side of standard cage with CD-1 mouse;Remove standard cage baffle, let CD-1 mouse hit 3xTg mouse, then put back baffle, CD-1 mouse is separated from 3xTg mouse with baffle, and 24 hours of social frustration threat is carried out, while combining despair stimulus and chronic mild unpredictability mild stimulation, repeated hitting and stimulation operation 8 days, and 3xTg mouse appears depression behavior related phenotype, and the depression comorbidity model of AD mouse is obtained.The method is simple to operate, does not need drug induction, the success rate of modeling is higher, the mortality is lower, and there are various social and psychological stress stimuli for mouse, can better simulate the occurrence of depression related to social factors, can obtain the mouse model suitable for studying the relevance of depression and AD.