12 results about "Stressor" patented technology

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.

Provided herein include compounds, compositions, kits and methods for preventing and treating psychiatric disorders. The composition and methods described herein can prophylactically treat a subject prior to and / or after a stressor and / or prior to the recurrence of a stressor, thereby preventing or delaying a relapse of depression or depression-like and / or stress-induced behaviors and disorders. The composition can comprise a serotonin 4 receptor (S-HUR) agonist and an N- methyl-D-aspartate (NMDAR) antagonist and a pharmaceutically acceptable salt, analog, derivative or metabolite thereof.

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.

Methods and compositions are disclosed for rapidly relieving symptoms in subjects with depressive, stressor and substance abuse conditions, e.g., major depression, treatment-resistant depression, post-partum depression, bipolar depression, post-traumatic stress disorder, substance use disorders, negative and cognitive symptoms of schizophrenia, as well as for slowing progression of mild cognitive impairment and dementia, using an intermittent dosing regimen of memantine or amantadine or a structural analogue or pharmaceutically acceptable salt of memantine or amantadine (optionally no more frequently than every 2 days) at a dose sufficient to activate Set A brain structures, in combination with a second drug at a dose which activates Set B brain structures but which does not appreciably evoke brain activity linked to hallucinogenic and other psychotomimetic perceptions. In some instances the second drug is either 1) a low dose psilocybin or low dose of other psychedelic and stimulant molecules capable of activating Set B of brain structures which is administered at a dose low enough such that it does not appreciably evoke brain activity linked to hallucinogenic and other psychotomimetic perceptions, or is 2) mianserin (S isomer, R isomer, or a racemate comprising both isomers or structural analog or pharmaceutically acceptable salt thereof) or another standard of care antidepressant capable of activating Set B brain structures, or 3) lumateperone or another antipsychotic capable of activating Set B brain structures.

The application provides a method and system for evaluating the cumulative impact of the pressure on the seabed habitat, comprising the following steps: identifying the physical pressure affecting the seabed habitat and recording the corresponding pressure benchmark intensity; identifying the environmental pressure and recording the corresponding pressure intensity; scoring the sensitivity of the physical pressure and the environmental pressure according to the characteristics of different types of seabed habitats and the habits of the inhabiting organisms to obtain a scoring result; calculating the pressure intensity of the physical pressure in the kth year of the marine activity based on a physical pressure reduction model according to each physical pressure and the pressure benchmark value of the physical pressure in the starting year; then calculating the pressure of the physical pressure type in the current year; calculating the environmental pressure in the target year; and accumulating the pressure of the physical pressure type in the current year and the environmental pressure in the target year to obtain the cumulative pressure in the target year, so as to realize the dynamic, multi-activity and multi-year comprehensive evaluation of the impact of the pressure on the seabed ecosystem.

This invention discloses an isolation-enclosed chamber-based stress-inducing device, system, and method embedded in a job-specific task. The device includes: an isolation chamber constructed according to the structure of a task cabin; an environmental simulation device installed inside the isolation chamber to simulate corresponding hazardous environments based on virtual emergency events; a physiological signal acquisition device installed inside the isolation chamber to collect physiological signals from the subject in real time; a central control console equipped with a job-specific emergency triggering system to simulate virtual emergency events and induce stress responses in the subject; the central control console also receives physiological signals from the subject collected by the physiological signal acquisition device for stress induction and assessment; and a VR headset to provide a VR environment for the subject. This invention can simulate isolation-enclosed environments and long-range mission scenarios with high fidelity in a laboratory environment. By coupling VR technology with job-specific emergency tasks, it enables the testing of mild, moderate, and severe stress emotions in the subject. The method is controllable and repeatable.

The invention provides application of a chalcone compound as well as a stereoisomer, a pharmaceutically acceptable salt or a solvate thereof in preparation of a medicament for treating depression. The depression is selected from mild depression, moderate depression, severe depression, persistent depressive disorder, depression associated with bipolar disorder, seasonal affective disorder, psychotic depression, postpartum depression, premenstrual anxiety disorder, encountering depression, pleasant sensation deficiency, melancholia, middle-year depression and late-year depression; depression caused by identifiable pressure factors, refractory depression, or a combination thereof. The compounds can treat mental symptoms of depression, such as depressive mood and loss of interest or fun in almost all activities.

A cell stressor device for use in analyzing a biomechanical response of cells or tissues may include a body including opposing ledges. A bottom of each ledge may be attached to a bar, and the pair of ledges and the bar may form a window having an opening facing away from a top of the body. The device may include a bender shaped and dimensioned to be inserted into the window. A length and height of the bender may be less than a length and height of the window. The device may include a beam shaped and dimensioned to be inserted into the window between the bender and the ledges to contact the ledges. The device may include means for moving the bender alternately away from and back toward the bar to cause a top of the bender to impinge upon a bottom of the beam.

The disclosure relates generally to methods and systems for automated personalized de-stressor recommendation based on stressor estimation. Conventional techniques for detecting the stress and the stressors are mostly manual and employ only some of the influencing parameters such as physiological parameters, behavioral parameters, and so on, thus leading to inaccurate detection of stressors. The present disclosure solves the technical problems in the art by detecting the stress using multi-model evaluation design including physiological changes, psychological changes, behavioral changes, environmental changes, and a bio-chemical indicator. Next, the stressors related to stress detection are identified using a large language model (LLM), which correlates with stress patterns to create a personalized model. Then, appropriate de-stressors are recommended using a recommendation lookup table.

A local and private model can be used to analyze textual, visual, and auditory content on a user's local device to provide notifications about events which are stressful beyond a predetermined threshold. The trained model can be trained by a combination of health sensor data and an analysis of the content. Multiple models or techniques can be used to analyze the content and vectorize the content. A vector based approach can be used to classify future content as stressful when meeting the predetermined threshold.

This invention discloses a method for determining the limits of inhaled chemical stressors in children's products based on big data, relating to the field of public health and environmental health risk assessment technology. During operation, the system collects multi-source heterogeneous chemical release data and exposure scenario parameters; constructs a dynamically correlated database of chemical stressor characteristics; establishes a machine learning-based nonlinear dose-response risk assessment model to analyze multi-component complex toxicity; generates personalized inhalation limit thresholds by combining age stratification and scenario parameters; and achieves real-time verification and iterative optimization of the limit thresholds through an online learning mechanism. Through the above technical solution, this application can dynamically and accurately assess the inhalation risk of chemical stressors in children's products, significantly improving the health protection efficacy for sensitive children and supporting tiered regulatory responses.