50 results about "Psychological strain" patented technology

The invention relates to the technical field of psychological analysis, in particular to a student psychological interview assisting method and system based on an AI large model, and the method comprises the following steps: obtaining a student answer text, carrying out emotion vocabulary marking by using the AI large model, recognizing a grammatical role and an emotion direction of emotion vocabularies in the text, and carrying out the quantitative analysis of the intensity of each emotion word. And evaluating the emotion direction and intensity of each sentence of the student to obtain emotion state information. According to the method, the AI large model is introduced to perform emotion analysis on the answer text of the student, so that emotion evaluation is more comprehensive and detailed, the rate and amplitude of emotion fluctuation of the student are monitored in real time, the emotion fluctuation curve is drawn, the duration time is recorded, dynamic data support is provided for psychological health evaluation, the accuracy and real-time performance of psychological evaluation are improved, and the psychological evaluation efficiency is improved. The psychological health risk of the student is accurately identified by combining emotion fluctuation and psychological pressure analysis, so that the evaluation result is more personalized, and targeted and prospective support is provided for psychological experts.

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 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, 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 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.

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 technical field of the intersection of artificial intelligence and psychology, and specifically discloses a robot, device and storage medium for simulating a consultation between a psychiatrist, including: guiding a user to select and confirm different construction modes of a question screen through a graphic screen simulation, and forming a picture-based psychological stress source branch diagnosis result by analyzing the differences between the user's inertial movements and his or her body expressions when answering operations; by investigating the user's psychological stress source corresponding to each consultation branch, collecting the answer content of each question belonging to each consultation branch corresponding to the user's psychological stress source, forming a question-and-answer psychological stress source branch diagnosis result, and combining the picture-based psychological stress source branch diagnosis result to judge the degree of the user's psychological abnormality tendency in each consultation branch of the psychological stress source, and then determining the suspected abnormal branch of the user's psychological stress source, which is helpful to customize a more personalized mental health intervention plan for the user.

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.

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.

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 present invention predicts the magnitude of future psychological stress of a subject with high precision. A prediction system (100) is provided with: a first extraction unit (42) that extracts a similar service person group from a plurality of service persons (W) on the basis of a service pattern similarity degree compared to a service pattern of a subject person (O) during a first period; a first model generation unit (43) that generates a first prediction model (57) by means of machine learning using first information as learning data, the first information including at least service pattern information, measurement information, behavior record information, and psychological stress information for each service person (W) among similar service groups; and a first prediction unit (44) that inputs input data including at least the service pattern information, the measurement information, and the behavior record information of the subject (O) into a first prediction model (57), and predicts the magnitude of psychological stress of the subject (O).

The psychological rehabilitation training device comprises a bottom shell, the bottom shell is hollow, a through groove is jointly formed in the top and the bottom of the bottom shell, multiple sets of universal wheels are arranged at the bottom of the bottom shell, a movable plate is jointly and fixedly installed at the tops of the universal wheels, the top of the movable plate penetrates through the through groove, and the bottom of the bottom shell is provided with a plurality of through holes. Positioning assemblies are jointly arranged on the left side and the right side of the movable plate, stand columns are fixedly installed at the positions, close to the four corners, of the top of the bottom shell, and through the arrangement of the human-shaped target, a patient can continuously hit the human-shaped target, so that redundant energy is rapidly released, and the psychological stress of the patient is effectively relieved; the touch display screen is arranged and is connected with the computer host, so that the patient can carry out psychological rehabilitation training on the touch display screen by utilizing software such as anda brain intelligence development and the like, and the patient is gradually helped to get rid of the illness state. Through cooperation of the two modes, a better treatment effect can be achieved.

The invention provides a psychological decompression device based on virtual reality, which comprises a supporting plate, a stabbing rod, a conveying cavity, a conveying block, a driving rod, an elastic component and a plastic hollow ball, when a person performs psychological decompression, a handle drives the driving rod to move towards one side, the driving rod drives a sliding block to transversely slide, and in the process, the elastic component is compressed to generate elastic force; the driving piece drives the driving shaft to rotate, the driving shaft drives the conveying block to rotate to convey the plastic hollow balls falling into the conveying groove to the connecting pipe to fall down, personnel observe the falling time of the plastic hollow balls and then loosen the handle, the stabbing rod transversely moves under the action of elastic force to stabbing the falling plastic, and then the attention of the personnel can be distracted; and if the user does not stabs, the interest of the user can be aroused, so that a good psychological decompression effect can be achieved.

The present invention provides a multifunctional psychiatric patient restraint chair, which belongs to the technical field of medical devices. In view of the problem that the existing restraint devices cannot quickly and effectively fix the patient, and are likely to cause strong resistance from the patient, aggravating his mental instability, the present invention sets a psychiatric patient restraint chair, including a restraint chair body, a mounting frame is provided on the seat of the restraint chair body, and two limb restraint rods are provided in front of the mounting frame, and a massage mechanism is connected to the bottom of the mounting frame; a first accommodating cavity is provided inside the two armrests of the restraint chair body, and a transmission mechanism connected to the mounting frame is provided in each first accommodating cavity; the mounting frame moves downward under the patient's own gravity, and the massage mechanism is squeezed by the mounting frame to massage the patient's legs, while reducing the patient's resistance and psychological pressure, the transmission mechanism drives the limb restraint rod to rotate to fix the patient's lower limbs.

The invention discloses an objective quantitative evaluation method for relieving psychological stress in piano playing, which comprises the following steps of: acquiring pulse wave signals of relaxation and stress states, extracting physiological characteristics, and classifying the two states based on the physiological characteristics; then, recording the playing moment, the playing key number and the playing duration during piano playing, collecting pulse wave signals after piano playing, and extracting physiological features; and finally, calculating rhythm accuracy and note accuracy in piano playing, and quantitatively evaluating the effect of piano playing on mental stress relief in combination with the synchronous change of the playing indexes and the physiological indexes. By quantitatively evaluating the psychological stress relieving effect of piano playing, a personalized music healing strategy can be formulated.

The application discloses a resting EEG psychological stress prediction method fusing bidirectional decoupling and potential feature mining, which is applied to a resting EEG psychological stress prediction system fusing bidirectional decoupling and potential feature mining. The prediction system is obtained by training according to historical electroencephalogram (EEG) data and corresponding psychological stress labels. The prediction method comprises the following steps: preprocessing collected original EEG data, and dividing the preprocessed continuous EEG data into a plurality of slices according to a sliding time window, wherein each slice comprises a task-state EEG signal and a resting-state EEG signal; adding random noise to the task-state EEG signal, so that the noisy task-state EEG signal is randomly distributed; introducing a guiding mechanism of the task-state electroencephalogram to the resting-state potential feature, so as to improve the feature separability in a weak feature scenario; meanwhile, effectively separating individual differences and depression-related features by using a bidirectional decoupling structure, extracting the time-space features of the EEG by using a wavelet-Riemann technology, and improving the psychological stress prediction efficiency and objectivity.

The embodiment of the present invention discloses a stress prediction method for a hearing aid system based on real-time monitoring of hormone levels, and relates to the field of hearing aid devices and algorithm technology. The method comprises: identifying the type of stress curve of the user in a specific time period according to the sound signals obtained by the user's hearing aid in multiple historical time periods, and the basic information of the user, wherein the specific time period covers the multiple historical time periods and future time periods; matching the existing pressure curve in the specific time period with the standard pressure curve of the pressure curve type in segments, and using the curve after the segmentation that matches the existing pressure curve in the standard pressure curve as the user's future pressure curve, wherein the existing pressure curve is monitored by the hearing aid system. This embodiment can monitor and predict the user's psychological stress level in real time.

A capsule cabin structure for isolating patients with infectious diseases depends on a special structure of a capsule cabin and environment control and biosafety technologies, not only has multiple advantages of sterility, convenience and the like, but also provides an independent private space for each patient, and enables the capsule cabin to generate center-of-gravity shift and posture deflection through a dynamic control device, so that the capsule cabin can be used for isolating the patients with infectious diseases. When the capsule cabin is in use, the external scenery displayed by the glass retaining wall at the entrance and exit is misplaced, the patient in the capsule cabin forms sensory stimulation changes of periodic gravity center change and landscape misplacement change, and in cooperation with visual stimulation and somatosensory stimulation brought by illumination and temperature and humidity changes, psychological stress caused by the fact that the patient is in an isolated environment for a long time and lacks sensory stimulation is effectively avoided; patient physical and psychological requirements are individually met, and the effect of accelerating patient recovery is achieved. Meanwhile, the occupied area of the capsule cabins is small, the arrangement number in unit area is effectively increased, the utilization rate of medical resources is improved, more patients are benefited, and medical treatment and emergency response pressure is reduced.

The present invention discloses a method and device for monitoring psychological stress based on heartbeat evoked potentials. The method comprises: obtaining multi-channel EEG signal sample data and single-channel ECG signal sample data under different psychological stress states; obtaining multiple heartbeat evoked potential samples based on the multi-channel EEG signal sample data and the single-channel ECG signal sample data; performing principal component analysis on the heartbeat evoked potential samples, removing outlier heartbeat evoked potential samples, and constructing a feature vector; performing classification prediction of psychological stress levels based on the constructed feature vectors, and configuring target parameters for a target model based on the prediction results; and performing predictive analysis on target EEG and ECG signals based on the target model to obtain corresponding psychological stress level monitoring results. The present invention is convenient and highly accurate, and can be widely applied in the field of data processing technology.

The invention relates to the field of medical treatment, in particular to a psychiatric restraint bed. The invention provides a psychiatric restraint bed which can enable a patient to move freely in a normal state and to be bound more powerfully when the patient suffers from diseases, reduces psychological stress and discomfort of the patient in the normal state, and also can prevent the patient from being bound too tightly. A psychiatry restraining bed comprises supporting legs, a bed frame, a box body and the like. A bed frame is fixedly connected among the four supporting legs, and two box bodies are fixedly connected to the bottom of the bed frame. When a patient begin to struggle due to attack, the ratchet wheel rotates to squeeze air in the air storage tank into the hollow pipe, so that the air bag is expanded, the air bag is elastic, the air bag can be better attached to the limbs of the patient, the skin of the patient is not prone to being injured, and injuries of the hands and the feet of the patient caused by constraint rings when the patient is attacked are reduced; the expansion of the air bag can more powerfully restrain the patient and reduce the pain of the patient during disease attack.

The present application relates to the field of psychological psychiatry, and discloses a psychological stress evaluation device for psychological psychiatry, which comprises a seat plate, supporting legs, a transverse handrail, a supporting rod, a back pad, a notch, a connecting block, a linking block, a supporting plate I, a supporting plate II, a hinge, a movable opening, a movable plate, a window, an evaluation plate, a storage battery I, a charging port I, a groove, a test screen, a camera hole, a gap, a rotary motor III, a rotating rod II, a support column, a placing groove II, a heartbeat test ring, a storage battery II, a charging port II, a control panel and a stress prompt lamp. The present application can reduce the vigilance of patients, improve patient comfort and improve evaluation effect. Meanwhile, the device has multiple functions, and is suitable for patients to answer questions and evaluate while sitting or to have a conversation with doctors while sitting, and is also suitable for patients to have hypnosis evaluation while lying down. The present application is suitable for popularization and use, and is convenient for doctors to observe the psychological state of patients and quickly adjust the chatting mode and evaluation mode.

The utility model discloses a kind of psychological stress assessment board, it is related to psychological assessment technical field, psychological stress is the problem that cannot be avoided in life and work, if cannot quickly assess and take corresponding measure will greatly affect the daily life of patient.Currently the assessment of psychological stress mainly takes psychological questionnaire and talks, time-consuming is longer and under stress part of population cannot effectively complete questionnaire or answer, it is also possible to cause greater psychological stress, make stress phenomenon more serious.Therefore the utility model provides a kind of psychological stress assessment board, patient needs according to corresponding symptom on panel, and moves the marker on panel to select severity, can judge its psychological stress severity, it is favorable to quickly identify psychological stress and assess its severity, provide rapid and accurate basis for subsequent treatment.

The invention discloses a psychological stress pre-judgment method and device based on motion features. The method comprises the following steps: acquiring user motion original data comprising X-axis acceleration data, Y-axis acceleration data and Z-axis acceleration data at a sampling frequency of 10-50Hz through a three-axis EMS accelerometer, and converting the user motion original data into a step number sequence with a timestamp; preprocessing the step number sequence to obtain a dynamic motion signal matrix; extracting micro tremor features, action mode features and behavior rhythm features from the dynamic motion signal matrix to form a 6-dimensional feature vector; collecting normal step number data of a preset number of days of a user to establish an initial individual datum line, and updating the individual datum line in a rolling manner based on the newly generated normal step number data; and inputting the six-dimensional feature vector into a stress assessment model constructed by an improved random forest algorithm, and outputting a real-time psychological stress value by comparing the deviation between the six-dimensional feature vector and an individual datum line and combining a preset interference elimination mechanism. According to the scheme, the psychological stress can be quantified through the step number features, detection misjudgment is reduced, and the detection accuracy is improved.

The invention discloses a continuous assessment method and device for psychological stress, a medium and equipment. The method comprises the following steps: acquiring historical stress information of a target object; establishing a target pressure evaluation model of the target object for each type of historical pressure events according to the historical pressure information; collecting current stress information of the target object, and generating a current psychological stress evaluation result based on the corresponding target stress evaluation model; and querying a preset management library to generate a pressure management scheme. According to the invention, not only is the targeted pressure evaluation model established according to the pressure event of the detector, the user information and the reaction data, but also the current pressure information of the target object is continuously collected from a plurality of associated factor levels, so that the dynamic comprehensive pressure risk evaluation and pressure management demand analysis of the target object are realized; pressure health intervention guidance and supervision prompts are comprehensively coordinated, and complete-cycle, scientific and targeted pressure health management of a target object is completed.

The invention discloses a psychological pressure measuring method and device, a computer readable medium and electronic equipment. The method comprises the steps that a data standardization mode is determined according to a data distribution type corresponding to current physiological data of a user; wherein the current physiological data at least comprises data related to the heart rate and the heart rate variability; performing standardization processing on the current physiological data according to the data standardization mode to obtain standardized physiological data; and performing psychological stress prediction according to the standardized physiological data to obtain the current psychological stress of the user. According to the technical scheme, the adaptability of data standardization can be improved, distribution deviation of part of user data caused by uniform processing is avoided, uniform distribution of standardized physiological data features is ensured, psychological stress prediction on the basis can reduce interference of data deviation on results, and accuracy and reliability of psychological stress prediction are remarkably improved.

The invention discloses an intelligent decompression rehabilitation treatment room, and relates to the field of rehabilitation treatment, the treatment room is configured to be a closed or semi-closed independent space, the independent space is internally provided with a pressure sore prevention decompression system and a decompression intervention system, the pressure sore prevention decompression system and the decompression intervention system are modularly distributed and communicate with each other, and the pressure sore prevention decompression system is configured to be a rehabilitation bed body structure. The rehabilitation bed body structure comprises a bottom bed frame, a module bed board, an air cushion unit and a turnover supporting assembly. The decompression intervention system is configured to be an intervention device based on user psychology and environment cooperation, and the intervention device achieves intelligent matching of patient psychological state assessment and environment parameters through multi-mode perception and analysis. According to the decompression rehabilitation treatment room, through cooperative arrangement of the pressure sore prevention decompression system and the decompression intervention system, a physiological and psychological two-way linkage closed-loop rehabilitation mechanism is formed, accurate prevention and control of the pressure sore risk of a long-term bedridden patient and synchronous relieving of psychological pressure can be achieved, and meanwhile the overall rehabilitation efficiency and the life quality of the patient are improved.

The invention discloses a strain capacity testing device, and relates to the technical field of psychological testing, the strain capacity testing device comprises a display mechanism and a testing mechanism arranged at the top of the display mechanism and used for testing individuals, the back surface of the display mechanism is fixedly connected with an intelligent monitoring mechanism, and the intelligent monitoring mechanism comprises a mounting plate; a clamping groove is formed in one side of the mounting plate, and a group of rotating shafts are rotationally connected to the interior of the mounting plate; the intelligent monitoring mechanism is arranged, various sensors are used for capturing physiological and behavior signals of a testee, the response time and accuracy of cognitive response capacity and behavior strain capacity detected by the testing mechanism are matched, physiological indexes generated during strain are dynamically monitored, detection data are summarized, and the detection accuracy is improved. Visual data, infrared data and physiological data are integrated, a comprehensive evaluation model of psychological stress, aggressive tendency and the like is constructed, the test result is more authentic and objective, and the strain capacity and psychological changes of a testee are comprehensively reflected.

The present invention belongs to the technical field of chronic wound depth analysis and relates to a chronic wound depth analysis system based on image recognition. By acquiring chronic wound images of target patients, the present invention provides more comprehensive and richer wound information, which helps to reduce misdiagnosis and missed diagnosis and more accurately judge the depth of chronic wounds. By analyzing the preliminary depth level of the chronic wound images of the target patients and judging the in-depth detection needs of the chronic wounds of the target patients, it helps to formulate more personalized detection plans, reduce unnecessary examinations and treatments, and reduce the economic burden and psychological pressure on patients. By determining the in-depth detection method of the chronic wounds of the target patients, performing detection and correction, and analyzing the final depth level of the chronic wound images of the target patients, it helps to identify and correct interference factors in the images, improves the accuracy of diagnosis, and provides an important basis for formulating personalized treatment plans.

The invention discloses a forearm skin transplantation postoperative functional exercise instrument, which comprises a shell, the top of the shell is provided with five sets of sleeves, seven sets of indicating lamps and a sound production device, the five sets of indicating lamps are arranged on one sides of the sleeves, the other two sets of indicating lamps are arranged in the middle positions of the two sides of the top of the shell, and the sound production device is arranged on the top of the shell. A pressing rod for pressing and moving and a spring elastically connected with the pressing rod are arranged in the five sets of sleeves in a sleeving manner correspondingly; according to the invention, seven numbered musical notation sounds are arranged, so that the five groups of pressing rods are in contact with the note keys under the movable cooperation of the sleeves to give out note sounds, and a perfect track is practiced in a targeted manner, thereby increasing the exercise interest of a patient, relieving the psychological pressure of the patient, promoting the patient to enjoy music and exerting an exercise effect at the same time, and improving the training effect. The strength can be conveniently adjusted according to the exercise requirements, the device is suitable for exercise of patients in different states, meanwhile, the exercise time of the patients is provided, and the exercise intensity is calculated.