51 results about "Anxiety level" patented technology

The invention relates to the technical field of emotional robots, and discloses an embracing emotional robot which comprises an inner shell, low-cost and high-simulation breathing simulation is achieved through cooperative control of an air pump and an air valve, and the embracing emotional robot is designed by combining simulation body temperature brought by a heating piece and synchronous action of a rotatable arm. The emotion robot can naturally rotate forwards when being embraced and is matched with simulated respiration and simulated body temperature, so that the immersion and emotion interaction experience of a user are remarkably improved; the operation cycle of the air pump strictly follows biological breathing characteristics, the inspiration stage accounts for 2 / 3 of the breathing cycle, the speed of the inspiration stage changes fast and slow, the expiration stage accounts for 1 / 3 of the expiration stage, smooth pressure relief is achieved through the air valve, and the highly-simulated breathing mode can effectively guide a user to breathe synchronously, so that parasympathetic nerves are activated, the anxiety level and heart rate fluctuation are reduced, and the user experience is improved. And the whole structure adopts a modular design, complex functions such as breathing simulation, embracing and body temperature simulation can be realized, the maintenance is convenient, and the device is particularly suitable for long-term accompanying scenes.

The invention discloses a method and system for optimizing a child preoperative anxiety relieving scheme based on an intelligent agent, and relates to the technical field related to medical health, and the method comprises the steps: executing the questionnaire data collection of a child guardian, and building a child questionnaire data set; calling the combined sensor group to collect physiological data of the child, and establishing a time sequence physiological data set; anxiety grade prediction is carried out, and anxiety grade correction is carried out through context awareness and age compensation; performing alleviation strategy optimization according to the anxiety grade correction result and the children preference data; and generating a mitigation scheme optimization result according to the mitigation strategy optimization result. The technical problems that in the prior art, the child preoperative anxiety relies on subjective experience, accuracy is insufficient, personalized relieving strategies cannot be provided according to different medical scenes and individual differences, and consequently the child preoperative anxiety relieving efficiency and effect are poor are solved. The technical effects of improving the efficiency and effect of relieving the preoperative anxiety of the children and achieving personalized services are achieved.

The invention relates to a VR meditation course framework design method based on cognitive enhancement, and the method comprises the steps: S1, evaluating the anxiety level, meditation concentration degree and exercise ability of teenagers according to a plurality of scale systems, and customizing exercise and meditation guidance parameters for a user according to an evaluation result; s2, constructing an interactive physical exercise scene, and dynamically and accurately adjusting the duration and complexity of exercise according to preset guidance parameters; s3, customizing deep breathing training and guiding meditation courses; and S4, evaluating the performance of the user in the previous two stages according to the exercise quality of the exercise and the meditation depth questionnaire, and providing guidance for subsequent courses by an obtained quality score. The method provided by the invention can provide evaluation guidance for the teenagers with depression, and provides data support and a new means for relieving anxiety symptoms of the teenagers.

The invention discloses a return anxiety intervention method and system based on VR scene self-adaption and data feedback, and relates to the technical field of return anxiety intervention methods.The return anxiety intervention method comprises the steps that occupational attributes, disease stages and psychological state evaluation data of a user are collected, and physiological baseline information obtained by wearable equipment is combined; constructing an initial user portrait containing individual features and function states; matching a preset intervention path template according to the initial user portrait, and generating a personalized VR training scheme with a module sequence, a scene difficulty level and a training period; executing the personalized training scheme in a virtual reality environment, carrying out commuting simulation, task operation and social interaction training through an immersive office scene, and synchronously collecting multi-modal physiological response data of a user in a training process; the anxiety level of the user is dynamically evaluated based on physiological response data in the training process, and when it is detected that the anxiety state exceeds a preset tolerance range, the stimulation intensity of the current scene is automatically reduced, and a relaxation bootstrap program is started.

This disclosure provides methods, components, devices, and systems for mitigating anxiety of a passenger along a travel route while in a vehicle. Some aspects, more specifically, relate to detecting an anxiety level of a passenger during travel and implementing anxiety mitigating techniques to alleviate the anxiety. Travel anxiety can increase the stress of a passenger during travel, especially during air travel. In some aspects, a vehicle can analyze sensor data to detect a stress level of a passenger and determine a remedial action based on the stress level. Upon determining the remedial action, the vehicle can implement the remedial action so as to mitigate or alleviate the stress associated with the passenger while traveling in the vehicle.

The application discloses a mindfulness prediction-intervention-feedback system and a control method, relates to the technical field of mindfulness training systems, and comprises a wearable user interaction device and sequentially connected user management module, mindfulness intervention training module, dynamic prediction module, intervention effect evaluation module and feedback interaction module; the initial mindfulness level, depression level and anxiety level of a user are determined; based on the depression level and anxiety level of the user, a target training scheme of the user is determined, and the user is prompted to perform mindfulness training according to the target training scheme; the target training scheme is adjusted based on an emotional state factor; the real-time mindfulness level of the user and the completion progress of the target training scheme by the user are determined according to a preset time interval, a mindfulness training report is generated in combination with the initial mindfulness level, and visual processing is performed; the mindfulness training method is selected by evaluating the mindfulness level of the user, and the rationality of the mindfulness training scheme can be improved.

This invention discloses a method for quantifying anxiety and depression comorbidities using partial label learning based on brain imaging, belonging to the fields of medical image processing and artificial intelligence. The method is based on a dataset constructed using brain imaging measurements. It selects representative typical anxiety and depression samples with distinctive brain imaging features from clinically diagnosed groups and constructs a sparse nearest neighbor graph by comprehensively considering the relationships between each sample and its nearest ordinary and typical neighbor samples. Partial label learning modeling and optimization are performed through an iterative label propagation mechanism, ultimately outputting label confidence matrices for clinical anxiety patients, depression patients, and patients with comorbid anxiety and depression. This enables a quantitative assessment of the anxiety and depression levels in patients with comorbid anxiety and depression and completes the classification of comorbidity subtypes. This invention improves the accuracy and objectivity of anxiety and depression comorbidity assessment, providing auxiliary support for the clinical diagnosis, pathological mechanism research, and intervention target screening of anxiety and depression comorbidities.

The invention discloses a real-time monitoring-based implant operation pain self-adaptive regulation and control method and system, and belongs to the field of biomedical engineering. The method comprises the following steps: establishing a tooth position-myoelectricity mapping relation according to an implant tooth position, and deploying bilateral myoelectricity electrodes to establish an individualized myoelectricity baseline; event-related myoelectricity response and skin conductance response are calculated, and pain side positioning is carried out; evaluating the anxiety level, and quantifying and correcting the pain intensity; based on the corrected pain intensity index and anxiety level index, performing state comprehensive judgment by adopting fuzzy logic; self-adaptive regulation and control including cognitive intervention, physical intervention, drug intervention and joint regulation and control are executed according to the state judgment result, and hierarchical upgrading is carried out according to the regulation and control effect. According to the invention, scientific distinguishing between pain and anxiety, accurate positioning of pain side identification and closed-loop self-adaptive regulation and control are realized.

To provide a treatment support device, a treatment support method, and a program capable of facilitating input by a patient and saving time and effort for creating a symptom list and an anxiety hierarchy table in treatment of obsessive-compulsive disease.SOLUTION: The treatment assistance apparatus 1 includes the symptom information acquisition unit 33 that acquires symptom information, which is information about symptoms, from the patient terminal 2 that receives treatment for obsessive-compulsive disease, the anxiety degree information acquisition unit 34 that acquires anxiety degree information, which is information about the relative degree of anxiety of the patient about the symptoms, from the patient terminal 2, and the information acquisition control unit 32 that receives inputs of the symptom information and the anxiety degree information about the symptoms from the patient terminal 2 in parallel.SELECTED DRAWING: Figure 3

The invention relates to an electric vehicle mileage anxiety quantification method, device and equipment and a medium. The electric vehicle mileage anxiety quantification method comprises the following steps: acquiring operation data of an electric vehicle, and carrying out data preprocessing and target feature extraction on the operation data; on the basis of the extracted target features, performing anxiety value calculation according to a principal component analysis method and a Weber-Fechner law to obtain a corresponding static anxiety score; performing simulation prediction through a random forest algorithm to obtain a corresponding dynamic anxiety score; and performing fitting processing based on the static anxiety score and the dynamic anxiety score to obtain a corresponding comprehensive anxiety index. According to the embodiment of the invention, the anxiety level of the user under different driving situations can be reflected more accurately, other technical optimization is carried out based on the accurate anxiety index, the user is helped to better understand and manage mileage anxiety, confidence in the electric vehicle is enhanced, and wide popularization and application of the electric vehicle are promoted.

Methods, systems and devices are provided to stimulate the vestibular system in such a way as to influence the neurological components of the autonomic nervous system and reduce an anxiety level in a subject. A device with one or more electrodes placed over a subject's scalp provides vestibular nerve stimulation (VeNS) to the vestibular nerve, which is then carried into the vestibular nucleus in the brainstem and thereafter transmitted to the neurological components of the autonomic nervous system to reduce a physiological reaction to an anxiety event. The characteristics of the stimulation signal and duration of the treatment are configured to allow the treatment to be delivered before, during or after an anxiety event to potentially prevent or at the very least reduce an anxiety response in the subject.

A technical solution is presented in which a smart vest worn on a dog and an associated system including the vest, a server, and a user device are used to identify the mood and anxiety levels of the dog and relieve their pain, such as when they are left alone at home. The scheme can provide mood monitoring, multi-sensory interaction, remote control and monitoring, customized response and overall physical and psychological health care for dogs.

The invention provides a social disorder animal model construction method based on a basal lateral amygdaloid nucleus-screen nucleus neural circuit and application thereof, and belongs to the technical field of animal model construction. The method comprises the following steps: injecting a viral vector carrying a photosensitive protein gene or a photosuppressive protein gene into amygdaloid nucleus on the outer side of an animal basal to express neurons of cholecystokinin or neurons of CaMKII alpha; embedding an optical fiber above the screen-shaped core; first light stimulation is applied through an optical fiber to activate nerve projection from amygdaloid nucleus on the outer side of the substrate to the screen nucleus, and a social disorder animal model is obtained; or applying a second photostimulus to inhibit the projection, resulting in a social disorder relief animal model. According to the invention, specific photogenetic regulation and control of the BLACCK +-CLA neural circuit is realized for the first time, social behaviors can be accurately regulated and controlled without interfering with movement and anxiety levels, and a reliable experimental tool is provided for mechanism research and drug screening of social obstacles.

The present application provides an English teaching system based on artificial intelligence. When the system detects that the user is engaged in an English learning activity, it determines the English learning goal selected by the user; outputs the initial English learning content corresponding to the English learning goal; detects the user's learning environment information, physiological parameters, and the analysis result of the emotional state; the analysis result of the emotional state represents the current anxiety level of the user; obtains the learning result of the user for the initial English learning content; determines the current target coefficient of the user according to the physiological parameters, learning result, and the analysis result of the emotional state; inputs the learning environment information and the target coefficient into a pre-trained classification model to obtain the current classification result of the user, and the prediction result includes the learning material category of the English learning goal; outputs the English learning material corresponding to the learning material category. By applying the system provided in the embodiments of the present application, a personalized English learning experience can be provided for the user.

The invention belongs to the technical field of biological medicine, and relates to a recombinant NMDA receptor antibody and application thereof. The invention relates to a recombinant NMDA receptor antibody Tat-DiN2B and application of the recombinant NMDA receptor antibody Tat-DiN2B in preparation of a medicine for inhibiting neurological function defect. The nerve injury which can be inhibited by the Tat-DiN2B comprises cortical neuron excitatory toxicity injury, acute hippocampal brain slice excitatory toxicity injury and cerebral ischemia injury. Meanwhile, the Tat-DiN2B can also be used for improving the dyskinesia and anxiety level after cerebral ischemia. The Tat-DiN2B disclosed by the invention is constructed by taking a gene synthesized by Tat and DiN2B as a template through the steps of PCR (Polymerase Chain Reaction) amplification, enzyme digestion, transformation, transfection, expression, purification and the like, and a DNA (Deoxyribonucleic Acid) sequence of the Tat-DiN2B is as shown in SEQ ID No.1.

The invention relates to the field of medicine, psychology and psychotherapy, as well as to computer information technology. It is based on the 8-phase psychotherapy technique of F. Shapiro for treating stress and post-traumatic stress disorder in patients. The technique involves eight consecutive phases (EMDR Association (Eye Movement Desensitization and Reprocessing), https: / / emdr.ru / news / 2018 / emdr-terapiya-obzor-razvitiya-i-mekhanizmy-deystviya). The prototype of the claimed invention is the method described in 'Intelligent virtual environment for treating anxiety exploring the Eye Movement Desensitization and Reprocessing technique' (https: / / www.researchgate.net / publication / 357606075_Intelligent_virtual_environment_for_treati ng_anxiety_exploring_the_Eye_Movement_Desensitization_and_Reprocessing_technique). A disadvantage of the prototype is that artificial intelligence is used in a limited fashion merely to determine the level of anxiety and adjust the movement of the ball in accordance therewith, and to record information. Furthermore, the prototype presupposes the involvement of a therapist, albeit to a lesser extent than in the previous version. A virtual therapist interacts with patients by means of speech, and responses to questions from a real therapist, in addition to anxiety level and heart rate, must be logged by the real therapist with the aid of a keyboard during communication with patients in virtual reality. A further disadvantage of the prototype is its focus on solving a limited number of patient problems (relieving stress and PTSD), i.e. only one protocol is used, and the fact that it cannot be used without the involvement of a therapist. The prototype is unable to provide a diagnostic assessment of problematic states of a wide range of psychological problems, select a corrective protocol, monitor the effectiveness of correction, and propose additional methods of correction. The claimed invention solves the technical problem of broadening the range of negative and problematic states that can be diagnosed (not just the level of PTSD) and making it possible to select and implement the specific protocol required to correct the problem identified, as well as to assess the effectiveness of correction and to propose additional solutions, wherein all of these aims are achieved without involving a therapist. A significant defining feature of the proposed method is the possibility of identifying a problem state in an initial step and selecting a suitable software-automated protocol tailored to each identified category of problem.

The invention discloses a college student subject anxiety intervention system based on music therapy and auricular point stimulation, and relates to the technical field of psychological intervention and health management. The system comprises a data acquisition module, an evaluation analysis module, an intervention strategy generation module, a music intervention module, an auricular point stimulation module and an effect feedback module. The data acquisition module is used for acquiring physiological signals of college students, test taking related information and anxiety self-evaluation data; the evaluation analysis module constructs an anxiety grade evaluation model based on the collected data to determine an anxiety grade; the intervention strategy generation module matches a corresponding music therapy and an auricular point stimulation scheme according to the anxiety level; the music intervention module plays personalized music, and the auricular point stimulation module realizes accurate and safe auricular point electrical stimulation through a flexible electrode; the effect feedback module collects physiological signals and subjective feelings in intervention in real time, and dynamically adjusts an intervention scheme. The method combines two therapies to realize individual accurate intervention of anxiety taken by college students, is remarkable in effect and high in safety, and can be widely applied to the field of college psychological health education.

The invention relates to the technical field of emotion regulation, in particular to an emotion regulation method and system by combining cold and heat alternating stimulation with parasympathetic nerve activation, and the method comprises the steps: obtaining the physiological signal data of a user in real time; inputting the high-frequency power of the heart rate variability into a pre-trained parasympathetic nerve activity quantitative model, and calculating a current vagus nerve tension parameter of the user; determining the anxiety level of the user based on the vagus nerve tension parameter, and dynamically determining a target alternate cooling and heating stimulation parameter of the Peltier element according to the anxiety level of the user; inputting the target alternate cooling and heating stimulation parameter of the Peltier element into a preset skin thermal injury model, and dynamically adjusting the power output of the Peltier element; and according to the real-time change rate of the skin sympathetic reaction data, feeding back and adjusting a target cooling and heating alternating stimulation parameter of the Peltier element until the high-frequency power of the heart rate variability reaches a target threshold value. The method has the effect of improving the emotion regulation efficiency.

The subject matter described herein includes methods and systems for managing exposure and response prevention (ERP) treatment healthcare workflows of a patient. According to one computer-implemented method, healthcare data is received from a plurality of sources, where the healthcare data includes symptoms reported by the patient, treatment history, and clinician-provided instructions. The healthcare data is processed to generate a treatment plan that includes exposure assignments tailored to the patient, a sequence of ritual resistance tasks, and anxiety level monitoring parameters. The treatment plan is presented to the patient via a graphical user interface (GUI) configured to display progress metrics, upcoming tasks, and clinician feedback. Input is received from the patient indicating completion or modification of specific tasks within the treatment plan and the treatment plan is updated based on the received input to dynamically adjust subsequent assignments according to predefined treatment guidelines.

The present invention provides a product sales data processing device and program that can immediately notify store staff when a customer needs assistance. [Solution] The self-service POS terminal (product sales data processing device) includes a product registration processing unit that reads the identification information of the product the customer wishes to purchase and registers the product through the customer's own operation; a registration time measurement unit that measures the registration time required for each product by the customer; a customer photography unit (photography unit) that photographs the customer's body while the customer is registering the product; an anxiety level estimation unit (estimation unit) that estimates the degree to which the customer is feeling anxious based on the customer's behavior detected from the video captured by the customer photography unit; and an assistance request unit that requests assistance from a store employee's terminal (portable terminal) if it is determined that the customer needs assistance based on the product registration time and the degree to which the customer is feeling anxious.

This invention relates to the field of customer service information generation technology in digital customer service, and particularly to a method, medium, and device for generating digital customer service information based on multimodal information. The method includes: determining a basic emotion score F(e) based on user input text; obtaining an emotion weighting coefficient G(e) through input voice and facial video; and generating a comprehensive negative emotion value E for the target user based on F(e), G(e), and the basic emotion scores of all other eligible users. total This value is positively correlated with anxiety levels; according to E total This invention generates response prompts for a digital customer service avatar based on the size of the data. It combines individual emotion scores with the emotional influence of surrounding users to form an E-system that comprehensively considers both individual and group environments. total And through a mapping mechanism from emotion scores to service responses, it achieves [something] based on E. total The system automatically generates differentiated customer service response prompts based on the size of the message.

The invention relates to the technical field of customer service information generation in digital customer service, in particular to a digital customer service information generation method based on multi-modal information, a medium and equipment. The method comprises the steps of determining a basic emotion score F (e) according to a text input by a user; acquiring an emotion weight coefficient G (e) through the input voice and the face video; based on the F (e), the G (e) and the basic emotion scores of all other users meeting the conditions, a comprehensive negative emotion value Etotal of the target user is generated, and the value is in positive correlation with the anxiety degree; and generating a reply prompt word of the customer service digital person according to the Etotal. According to the method, the individual emotion score and the surrounding user emotion influence are combined to form the Etotal which comprehensively considers the individual and group environment, and the differentiated customer service reply prompt words are automatically generated according to the Etotal through a mapping mechanism from the emotion score to the service response.

The application discloses a charging method and device of a vehicle, an electronic device and a storage medium, wherein the method comprises: obtaining charging data and driving data of multiple users within a preset period; identifying an actual charging anxiety level of each user according to the charging data and the driving data of each user; generating a target anxiety reduction strategy of each user according to the actual charging anxiety level, and controlling the corresponding vehicle of each user to charge according to the target anxiety reduction strategy. Thus, the technical problem that in the related art, there is a lack of prediction research on the charging anxiety behavior of users, and only when the power is about to reach the limit, a charging warning is given and a charging strategy is provided, thereby shortening the service life of the battery, is solved.

This behavior control system comprises: a communication device that communicates with a subject; a subject information acquisition unit that acquires subject information of the subject; an empathy level prediction unit that predicts an empathy level of the subject on the basis of the acquired subject information; an anxiety level prediction unit that predicts an anxiety level of the subject on the basis of the acquired subject information; and a behavior generation unit that generates a behavior for the communication device on the basis of the predicted empathy level and anxiety level.

The invention discloses a physiological and psychological data and sound scene association evaluation method and device, and relates to the technical field of computational analysis. The method comprises the steps that S1, the anxiety degree is obtained based on physiological data; s2, acquiring anxiety degrees on the basis of psychological indexes; s3, according to association of the anxiety degree, obtaining a corresponding sound scene and playing the sound scene, obtaining associated physiological data, obtaining changes of the anxiety degree, and correspondingly adjusting the sound scene and playing the sound scene; s4, acquiring and evaluating the change trend of the anxiety degree based on the change of the anxiety degree, wherein the effective association effect is that the anxiety degree is relieved; the device comprises a wearable device, a sound playing unit, a questionnaire filling device, a central processing platform, a physiological monitoring module, a psychological index evaluation module, a personalized sound scene association module and an association effect evaluation module, according to anxiety degree association sound scenes, associated physiological data is dynamically obtained, and then a new anxiety degree is obtained. And the associated sound scene is correspondingly and dynamically updated, so that the sound scene association efficiency is improved.

A method for conducting training on working at heights, supported by a virtual reality platform, which is characterized by the following: - that training for working at heights is conducted using the GSR skin electroplating test device and a virtual reality platform with virtual reality glasses that display a simulated reality image, a central processing unit and at least one controller, consisting of: - the participant is deployed on a height-neutral platform; - Stimuli are introduced and increased to simulate the participant's exposure to heights while maintaining measurements of the participant's anxiety level; - Specific training is conducted on at least one aspect of working at height, and the parameters measured with the GSR skin reaction test device are recorded in a central database.

Embodiments herein relate to identifying a status of a patient such as in a dental or other medical treatment room. In one aspect, the solutions provide a system to determine whether the patient is anxious and / or a degree of anxiety of the patient. The solutions can include training a model such as a large language model (LLM). In a training phase, data is gathered from patients, the environments of treatment rooms and equipment of the treatment rooms during various medical procedures for a patient population. The model is then trained to correlate the data with a degree of anxiety. Once the model is trained, it can be deployed to determine whether an individual patient is anxious and to take appropriate countermeasures to reduce anxiety.

The utility model relates to the technical field of body position pads, and discloses a body position adjusting bolster for postoperative paralysis, which comprises a bolster seat, the bolster seat is in a right triangle shape, the bottom of the bolster seat is horizontal, the included angle between the bolster seat and the horizontal plane is 30-40 degrees, the bolster seat is sequentially divided into a head cushion, a neck cushion and a body cushion from top to bottom, and a high semi-reclining position lying body surface is formed at the upper part of the bolster seat; a head groove is formed in the middle of the head cushion, a groove body is concave downwards in an arc shape, and a limiting protruding block is integrally connected to the portion, on one side of the edge of the head groove, of the head cushion; the upper surface of the neck pad protrudes out of the high semi-reclining position lying body surface, and an open arc-shaped neck groove is formed in the middle of the neck pad. By means of the head cushion, the neck cushion and the body cushion on the cushion seat, a patient can lie stably at a high semi-reclining position when the head tilts laterally, the lying comfort level is improved, throat secretions can be prevented from entering an airway to cause suffocation, the anxiety degree of the patient can be reduced, the comfort level is improved, and the inclined upward posture of the patient at the high semi-reclining position can be matched with a nurse for treatment more easily. Therefore, the satisfaction degree of family members is improved.

It is proposed to obtain information about a stress or anxiety level of a subject within a predetermined time period before, during and / or after a capture time of a fMRI scan image. Using this information, embodiments may provide additional / supplementary information that may aid, assist or otherwise improve interpretation of the fMRI scan image.

The application provides a use of scEMC10 in preparation of a medicine for treating sepsis, and relates to the field of biomedical technology. The inventor finds that after LPS-stimulated brain microvascular endothelial cells are treated by scEMC10, a plurality of gene mRNA transcriptions related to EndMT and classic EndMT markers (such as FN1, alpha-SMA, ZEB1, TWIST1 and Snail) induced by LPS can be down-regulated; after a LPS-induced sepsis mouse model is supplemented with scEMC10, the expression of EndMT markers of the brain, liver and kidney can be obviously improved, the bleeding of the brain, lung, liver and kidney of the mouse caused by LPS induction can be obviously inhibited, the survival rate of the mouse is improved, the movement ability of the mouse is improved, and the anxiety level of the mouse is reduced. Therefore, scEMC10 can be used for preparing a medicine for treating sepsis and inhibiting EndMT.