60 results about "Psychologic stress" patented technology

The invention discloses an AI assessment method and system for the safety risk of aged furniture, and relates to the technical field of artificial intelligence assessment, and the method comprises the steps: placing a virtual body in a virtual three-dimensional environment, and positioning a mismatching risk point of the body of a user and to-be-assessed furniture through applying simulation disturbance; extracting biomechanical parameters under the risk point and determining a physical risk value; carrying out dynamic deduction through a physiological-psychological state mapping relation based on biomechanical parameters, and determining a psychological stress value; fusing the physical risk value and the psychological pressure value to generate a current safety risk assessment result; based on a virtual body, simulating an elderly weak physiological trajectory, and performing long-term safety risk prediction on furniture in the same virtual three-dimensional environment; according to the method, mechanical disturbance and typical instability working condition simulation are introduced into the virtual three-dimensional environment, so that the safety guarantee level and the prospective evaluation capability of the aged furniture under the real use condition are improved.

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 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 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 present invention belongs to the field of sensor preparation technology, and specifically relates to a cortisol sensor and a preparation method thereof, a wearable device and a preparation method and application thereof. The wearable device provided by the present invention is based on multiple sensors, such as a cortisol sensor and an HRV sensor; the present invention utilizes a self-made cortisol sensor to obtain cortisol data, and at the same time, the present invention combines the analysis of the HRV sensor, which is based on a mature photoplethysmography method, with sensor signal amplification and transmission to achieve another way to obtain heartbeat data. The present invention obtains heartbeat and cortisol concentration data through two pathways, sweat and skin, which can help users more accurately discover and record changes in psychological stress and assess mental stress in a non-invasive manner.

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.

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 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 utility model discloses a pair of multifunctional improved patient trousers, which is characterized in that a trouser body is provided with an open operation opening, and a shielding sheet is packaged through a first zipper, so that the body fluid drainage operation is more convenient, and the privacy of a patient can be protected; the buffer bag is arranged in a limited mode, when a patient gets out of bed to move or goes out for examination, the drainage bag does not need to be lifted by hands, the storage bag is lower than an operation opening and higher than knees of trouser legs, and the swing amplitude of the buffer bag is small when the patient walks; the operation opening is suitable for the drainage tube to penetrate out so as to be communicated with the storage bag containing bag, the drainage tube is prevented from winding around the underpants, the phenomenon that the drainage tube is taken off due to the fact that patient trousers are put on and taken off is avoided, the drainage tube is not prone to being folded, a certain length of the drainage tube is kept, excessive traction is avoided, and the drainage tube between the operation opening and the storage bag containing bag is suitable for observing smoothness, color, character and quantity. The drainage tube is less or even not exposed, so that the visual impact and psychological stress of a patient are greatly reduced.

The utility model relates to the technical field of steam generators, and discloses a noise reduction mechanism of a steam generator, which comprises the steam generator and a noise reduction component, the steam generator comprises a bottom plate, a base, a support plate and a machine body, the bottom of the base is fixedly connected with the top of the bottom plate, and the noise reduction component is fixedly connected with the support plate. The surface of the supporting plate is movably connected with the interior of the base. Structural components such as the steam generator and the bottom plate are arranged, steam is manufactured through the steam generator, noise generated in the running process of the steam generator is reduced through the noise reduction assembly, vibration generated in the running process of the machine body is reduced through the damping assembly, and the bottoms of the two noise reduction covers are kept stable through the stabilizing assembly; the effect of reducing the noise in the operation process of the steam generator is achieved, and the health problems that the noise generated by the steam generator interferes with the surrounding environment, and people are possibly damaged in hearing and increased in mental stress due to long-term exposure in the noise environment are solved.

The invention discloses a multi-dimensional physiological signal monitoring system for mental stress of nursing personnel. The system comprises a signal acquisition module, a context acquisition module, a processing analysis module and an output module. The signal acquisition module is used for acquiring multi-dimensional physiological data such as an electrocardiosignal, a motion signal and an environment signal of a nurse in real time; the context acquisition module acquires a clinical operation log from a hospital information system; the processing analysis module is used for distinguishing psychological pressure from physiological interference through a multi-modal signal fusion filtering technology, intelligently associating an effective pressure event with clinical operation and determining the context of a pressure source; and the output module is used for generating a personalized pressure analysis report and a management instrument panel containing the clinical work context. The problems that in the prior art, pressure monitoring specificity is poor, and a pressure source is unknown are solved, accurate monitoring and intelligent source tracing of the psychological pressure of nursing personnel in a real clinical environment are achieved, and a scientific basis is provided for individual pressure management and organization health intervention.

The present invention relates to a composition comprising L. rhamnosus CNCM I-3690 for use in prevention, amelioration or treatment of anxiety and / or psychological stress in an individual.

This invention discloses a method for identifying psychological stress levels based on a deep emotional neural network, belonging to the field of computer technology. It includes information acquisition: acquiring past stress information and real-time multimodal feature information of the user. This invention uses a weighted processing method to derive derived stress information under different weight distributions based on the weight distribution of past stress information, facilitating the establishment of stress recognition models under different weight distributions. A set directory table records the relationship between different weight distributions and the stress recognition models, allowing for the search of corresponding stress recognition models based on weight distributions. The target stress level is obtained by combining the target stress recognition model with the processed real-time multimodal feature information and stress level, thus fully considering individual differences in expression, adapting to different individual expression styles, reducing the probability of impacting individual mental health, and improving user trust and user experience.

The invention provides an operating room nursing operation intelligent training system and method, and the method comprises the steps: collecting a nursing operation track of a target user in a high-fidelity operation situation simulation environment matched with a target operation type in real time, generating a deviation map of the nursing operation track and a standard operation, and recognizing a space-time operation abnormality feature in the deviation map; determining a pressure load index of the target user when the emergency event occurs according to the combined characteristics of the various physiological signals of the target user on frequency change in combination with heart rate variability, and when the pressure load index exceeds a preset psychological pressure threshold value, guiding the target user to relieve psychological pressure and recording a physiological stress state track of the target user; and carrying out emergency response training on the target user based on the spatio-temporal operation abnormal features and the physiological stress state trajectory pushing special training strategy. By adopting the scheme of the invention, an adaptive intraoperative nursing emergency response capability training system can be constructed to perform dynamic intervention training on the intraoperative emergency response capability of nursing personnel.

To provide a care support system for grasping psychological stress or feelings of care related persons while performing watching monitoring on a care-requiring person using the care support system, the care support system being capable of being installed more simply by the care-requiring person without professional knowledge, laying construction work, or adjustment.SOLUTION: A care support system includes a loudspeaker terminal device disposed in the vicinity of a care-requiring person and watching platform means in a cloud connected to the terminal device via a communication network. The loudspeaker terminal device has an interactive loudspeaker having a voice recognition function and an AI (artificial intelligence) assistant function. The watching platform means comprises voice analysis means for grasping a psychological stress state or an abnormal condition of the care-requiring person or a care-giver by extracting a keyword and a voice feature amount of the care-requiring person or the care-giver on the basis of voice data on the care-requiring person or the care-giver acquired by the loudspeaker terminal device.SELECTED DRAWING: Figure 3

The invention discloses a biomarker C10757 for detecting a health state and application thereof, relates to the technical field of biology, and solves the technical problems that traditional psychological stress assessment depends on behavior observation (such as animal depression-like behaviors) and has the defects of strong subjectivity, low sensitivity, obvious hysteresis and the like. According to the technical scheme, the biomarker C10757 of the health status is provided, the molecular formula of the biomarker C10757 is C20H27N3O3, the health status is caused by the psychological stress generated by the wild macaque, and the application of the biomarker C10757 in preparation of a detection product for the health status caused by the psychological stress generated by the wild macaque is provided. Through the metabolic function of intestinal microorganisms, non-targeted metabonomics analysis, pathway enrichment and ROC analysis determination, the effects of accurately distinguishing individuals affected by psychological stress from normal individuals and remarkably improving the sensitivity and specificity of detection are achieved.

To provide a display device, display method, and program that can reduce the psychological stress on users caused by visual input. [Solution] The display device according to the present disclosure includes: a transmittance adjustment unit that adjusts the light transmittance, which indicates the proportion of light that is transmitted; a gaze detection unit that detects the user's gaze information based on first image information showing the user's eyeballs; an expression determination unit that determines the user's facial expression based on second image information showing the user's face; and an occlusion range setting unit that, when the facial expression determined by the expression determination unit is the facial expression to be controlled, sets an occlusion range that sets the light transmittance to a predetermined value based on the gaze information and the emotion score.

This invention discloses an anal fistula cutting device, comprising a left shell, a right shell, and a front shell. The left and right shells are symmetrically arranged to form a main chamber. The rear end of the front shell is fixed inside the main chamber, and the interior of the front shell is a cutting blade chamber. The cutting blade chamber is elongated and cylindrical, and the cutting blade moves back and forth within it. A drive assembly is installed in the lower part of the main chamber, a transmission assembly is installed in the middle of the main chamber, a cutting assembly is installed at the front end of the transmission assembly, a switch fixing plate is installed inside the main chamber, an activation assembly is installed at a corner inside the main chamber, and a return assembly is connected to the switch fixing plate. This anal fistula cutting device is simple to operate, avoiding extensive muscle and nerve damage caused by fistula endotomy, effectively separating fistula polyps, reducing postoperative complications, and alleviating the surgical intensity for doctors and the psychological stress for patients.

The application provides an optimization method and system based on psychological self-adaptation of first-aid personnel. Wherein, dynamic information of a first-aid scene and a sea area along a route corresponding to a first-aid task is collected to obtain a risk assessment result; psychological state monitoring data of the first-aid personnel is acquired, a machine learning algorithm is used to analyze a psychological stress level of the first-aid personnel to obtain a psychological state analysis result; according to the risk assessment result, an intelligent path planning algorithm based on a particle swarm optimization algorithm is applied to generate a specific execution path; based on the specific execution path, an adaptive adjustment mechanism based on Bayesian optimization is introduced to perform real-time re-evaluation processing on the path when unexpected emergency conditions are encountered to generate an alternative route; and a maritime communication system and an intelligent navigation auxiliary device are integrated to obtain an optimized sea first-aid path. The technical scheme provided by the application realizes intelligentization and real-time optimization of path planning.

We provide the system. [Solution] Means of collecting biometric data, A means for analyzing the aforementioned biometric data to evaluate the user's mental burden, A means of collecting communication data and analyzing emotional states using natural language processing technology, A means of issuing warnings and providing support based on the aforementioned mental burden and emotional analysis, A means of notifying store managers of the mental stress levels of employees, A system that includes this.

This application relates to the field of psychophysiological monitoring and data analysis technology, specifically an artificial intelligence-based dynamic stress and emotion analysis method and system. The method includes the following steps: collecting students' physiological data and body movement data while they are performing hazardous tasks; analyzing the physiological data and body movement data based on a preset algorithm to determine if the students have negative emotions, including anxiety, tension, fear, anger, and lethargy; issuing an early warning signal when negative emotions are detected and initiating a response procedure to notify relevant personnel, including users, rescue personnel, and students; generating a health feedback report and sending it to users, including teachers, instructors, and project leaders. This application has the capability to efficiently and in real-time monitor and analyze the psychological stress and emotional state of large groups in complex and high-risk work environments, particularly in educational practice training and emergency situations.

The invention relates to the technical field of virtual reality and health monitoring, and particularly discloses a psychological stress monitoring method and system based on virtual reality. The system comprises a physiological signal acquisition module, a virtual reality environment generation module, a stress reaction quantification module, a self-adaptive pressure regulation and control module and a pressure state evaluation module, pressure source elements in a virtual reality scene are dynamically adjusted by acquiring multi-modal physiological signals of a user in real time, the stress level of the user is quantified, and the pressure state of the user is evaluated. And psychological stress grade evaluation is output based on the personalized stress response model, so that closed-loop psychological stress monitoring with high signal-to-noise ratio and high ecological efficiency is realized.

The system according to the embodiment aims to predict early signs of mental stress in students and notify them appropriately. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, a prediction unit, and a notification unit. The collection unit collects data. The analysis unit analyzes the data collected by the collection unit. The prediction unit predicts signs of stress based on the data analyzed by the analysis unit. The notification unit notifies the user of the signs of stress predicted by the prediction unit.

This invention discloses a plant essential oil spray with anti-anxiety and antidepressant effects and its preparation process, available in daytime and nighttime versions. The plant essential oil mixture is prepared by coupled flash extraction with anhydrous ethanol and 1-octyl-3-methylimidazolium bromide, followed by microfiltration-nanofiltration and vacuum distillation. The excipients and essential oils are then mixed and bottled into spray bottles equipped with an automatic spraying device to obtain the daytime and nighttime plant essential oil sprays. The daytime version stimulates the autonomic nervous system, reduces mental fatigue, improves cognitive mood, and exerts an anti-anxiety effect during the day; the nighttime version regulates neurotransmitter levels, significantly calms and soothes the mind, and adapts to the differences in human mood and nervous state between day and night. This invention features high extraction efficiency, stable essential oil quality, and the product possesses both anti-anxiety and antidepressant effects. It is convenient to use, highly safe, and suitable for daily mood regulation, psychological stress relief, and intervention for anxiety and depression tendencies.

The invention discloses an intelligent psychological safety early warning system oriented to the education field, and relates to the technical field of psychological safety early warning and edge computing. The system comprises a data acquisition and edge preprocessing module, a six-dimensional personality modeling module, an interpersonal interaction relationship evaluation module, an emotion detection and psychological stress evaluation module and a comprehensive psychological state evaluation and early warning module. The technical key points are as follows: multi-dimensional data fusion: comprehensively evaluating a psychological state from three levels of emotion, behavior and environment; setting dynamic period evaluation: considering short-term fluctuation and long-term trend; a personalized early warning mechanism is displayed; differential management is realized through early warning grade division; edge and cloud collaborative architecture support: ensuring real-time performance, privacy protection and system expansibility; by adopting the mechanism, intelligent psychological safety early warning system operation is realized, and the system is not only suitable for the education field, but also has a wide application prospect in other related fields such as enterprise employee psychological health monitoring and the like.

The invention discloses a percutaneous vagus nerve stimulation method and device, electronic equipment and a storage medium, and the method employs a non-invasive nerve stimulation mode, carries out the pressure induction test of a user, records the electric signal changes of the user under various pressures, can achieve the analysis and classification of the pressure state of the user, and improves the accuracy of the pressure state of the user. When the device is formally used subsequently and under pressure, an appropriate electrical stimulation mode can be determined by comparing a database, and the effect of accurately relieving pressure is achieved. Moreover, the psychological stress of the user can be continuously monitored during electrical stimulation, the electrical stimulation intensity and duration can be adjusted at any time, and higher electrical stimulation accuracy is achieved. The invention relates to the technical field of nerve regulation and mental health intervention.