11 results about "Psychological strain" patented technology

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.

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 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 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 provides a driver psychological pressure detection method and device, a storage medium and equipment, and the method comprises the steps: obtaining a plurality of frames of infrared images under a continuous time sequence based on a camera in an automobile cabin, obtaining a face region image through the infrared images, extracting rPPG features and optical flow features from the face region image, and carrying out the detection of the psychological pressure of a driver through the rPPG features and the optical flow features; the rPPG features and the optical flow features are fused, and heart rate variability is calculated based on fused feature data, so that the psychological stress state of the driver is evaluated. Thus, psychological stress assessment is carried out in a mode of fusing the rPPG features and the optical flow features, psychological stress monitoring without perception can be realized, and a driver and passengers do not need to wear a contact sensor, so that discomfort brought by the contact sensor is avoided, and the experience comfort of the driver and passengers is effectively improved.

To provide a route search program capable of searching a route in consideration of a psychological burden and a physiological burden of a user.SOLUTION: The route search program acquires a route search condition including a departure place of a route and a destination of the route, acquires geographical information of an area including the departure place and the destination, searches for a route candidate based on the route search condition and the geographical information, calculates physio-psychological information indicating a physiological load and a psychological load in the route candidate, and outputs the route candidate and the physio-psychological information.SELECTED DRAWING: Figure 1

This invention discloses a method, device, computer equipment, and storage medium for identifying psychological stress, belonging to the field of computer technology. Addressing the problem in existing technologies that extract psychological stress information from a single indicator cannot effectively achieve stable psychological stress assessment, this invention provides a method, device, computer equipment, and storage medium for identifying psychological stress. It extracts pulse rate variability signal features, fuses these features with facial expression features to obtain fused features, and uses a forward-backward feature selection algorithm to collaboratively select the optimal subset of fused features. A psychological stress identification model is constructed using this optimal subset, and the model is then used to classify psychological stress, thereby fully acquiring psychological stress information and effectively improving the classification performance of the psychological stress identification model.

The application discloses a psychological stress detection method, device, equipment and storage medium, and the method comprises the steps of obtaining face image information of a user to be detected; inputting the face image information into a preset face video coding network to output a coding feature vector; detecting whether the face image information contains a preset face action, and outputting a motion feature vector according to a detection result corresponding to the preset face action; detecting whether the face image information contains a preset face emotion, and outputting an emotion feature vector according to a detection result corresponding to the preset face emotion; and generating a psychological stress detection result corresponding to the user to be detected according to the coding feature vector, the motion feature vector and the emotion feature vector, thereby completing psychological stress detection on the user to be detected. The method is not only suitable for medical scenes, but also can be widely applied to other high-concurrency scenes, such as education scenes. The method can identify the psychological stress of the user in a timely manner, thereby providing more targeted help.