103 results about "Physiological reaction" patented technology

The invention provides an interactive interface design parameterization method guided by tactile feedback. The method comprises the following steps: acquiring physiological features, use habits and use scene information of a user, and presetting basic tactile feedback parameters according to a scene-parameter mapping rule; during interaction, touch parameters such as vibration frequency and amplitude are dynamically adjusted based on user operation behaviors, physiological reactions and scenes by using a deep learning model; and meanwhile, a multi-modal parameter fusion model is established, so that tactile, visual and auditory parameters have a synergistic effect, for example, when a button is clicked, the three parameters are mutually associated to enhance a feedback effect. After the operation is completed, the feedback effect is evaluated through objective indexes such as the subjective score of the user and the operation accuracy, and the user personalized model and the parameter adjustment model are optimized. According to the method, the problems that traditional parameters are fixed, and multi-modal fusion is insufficient are solved, accurate and personalized man-machine interaction is achieved, and the user experience is improved.

The invention provides a classroom student concentration degree monitoring system and method based on computer vision. The system comprises a vision collection module, an edge calculation unit and a cloud analysis platform. A multi-dimensional sensing mode combining head posture analysis, eye state tracking, facial expression recognition and body movement detection is adopted to evaluate the concentration degree, through a dynamic feature fusion mechanism, the system can intelligently adjust the weight ratio of different modal features, the limitation of single-dimensional analysis in a traditional method is effectively solved, and the accuracy of the system is improved. The system adopts edge calculation and cloud analysis, ensures high efficiency of data processing, ensures reliability of complex algorithm operation, and has important value for improving classroom teaching quality and learning efficiency. According to the invention, through multi-modal visual analysis, behavior characteristics and physiological reactions of students in class are monitored in real time, the concentration level of the students is comprehensively evaluated, and objective teaching feedback and improvement basis are provided for teachers.

The invention provides a remote data acquisition and analysis method and system for a baby stroller, and the method comprises the steps: synchronously acquiring environmental stimulation and passenger physiological reaction data through multiple modules on the baby stroller, locally processing the environmental data into cumulative stress indexes, and processing the physiological data such as sound production into state classification labels. And when the passenger has negative stress states such as crying, screaming and the like, the system automatically packs the accumulated stress index sequence in the previous period of time to form a stress event data packet. And the data packet and baseline data in a normal state are transmitted to a remote server together, and a specific environment mode causing the negative stress of the passenger is identified through comparative analysis. According to the method, through event-triggered data acquisition and comparative analysis, specific external factors causing discomfort of infants can be accurately identified and understood.

The invention relates to the technical field of signal analysis, in particular to an acute pain assessment method and system based on an EDA signal, and the method comprises the following steps: collecting a skin electrical activity EDA signal of a subject; calculating an individual time-varying sympathetic nerve activity TVSymp curve; the method comprises the following steps: constructing a priori knowledge base containing a standardized pain response sympathetic nerve SpainSymp template; inputting the EDA signal and the individual TVSymp curve into a PCVAE model, fusing features and decoupling the features into pain common features and individual specific features; carrying out pain intensity classification, and reconstructing and generating a standardized SpainSymp curve of which individual specific characteristics are removed; and outputting the pain intensity classification result and the dynamic change trend of the standardized SpainSymp curve in real time. By adopting the method, the pain-induced physiological reaction and individual baseline variation can be effectively decoupled and separated from the mixed EDA signal, the interference of individual difference is avoided, and the method has the characteristics of high accuracy and strong real-time performance.

An adaptive stimulation system optimizes pain relief, pleasure enhancement, and healing through closed-loop physiological effectiveness monitoring. The system comprises a stimulation device, sensors measuring physiological responses indicative of stimulation effectiveness, and a processor implementing real-time adaptive control. The system measures unconscious physiological responses that users cannot voluntarily control and involuntary reactions to objectively assess whether stimulation achieves desired outcomes. Through proxy learning, system sensors correlate with sophisticated clinical measurements via machine learning, enabling clinical-grade optimization using accessible devices. The system continuously explores multidimensional parameter spaces to discover optimal stimulation patterns personalized to individual users, automatically adapting parameters based on measured physiological effectiveness rather than subjective user control or preset patterns. Applications include medical devices, wellness products, and intimate stimulation systems.

One or more embodiments described herein relate to predicting, using adaptive artificial intelligence techniques, typical and aberrant physiological reactions of a patient to psychiatric counseling. Treatment plans can be determined and calculated based on previously-gathered demographic and / or biometric data, and / or modifications to treatment plans can be determined and / or implemented based on emergent recognition of reaction types, such as reclassifying reactions that would previously have been deemed typical as aberrant (or vice versa).

A portable respiration and cardiac monitoring device includes a detection finger band and a wearable heart rate relay watch. The detection finger band comprises a light emission unit for emitting a detection light beam and a response light receiver unit for receiving a physiological response signal. The detection light beam enters the user's fingertip to generate the physiological response signal. The wearable heart rate relay watch is connected to the detection finger band via a connecting cable. The wearable heart rate relay watch receives the physiological response signal and includes a gravitational accelerometer. The gravitational accelerometer detects the acceleration of the wearable heart rate relay watch to generate an acceleration detection signal. A detection datum comprises the acceleration detection signal and the corresponding physiological response signal.The wearable heart rate relay watch transmits the detection data to an external device. A wearable, artificial intelligence-based system for monitoring respiration and cardiac status includes a control system that communicates with the wearable respiration and cardiac status monitoring device.

This application relates to a device for detecting organ function and its control method, as well as a dietary management method and system, belonging to the technical field of medical device testing. The control method compares and analyzes changes in the microscopic features of the same area of ​​the tongue before and after eating, and calculates the corresponding metabolic index change rate, constructing a mapping relationship between the tongue's microscopic morphology and organ function, providing a basis for assessing internal physiological function through external characterization. Simultaneously, the dietary management method uses physiological responses before and after eating as real-time biofeedback signals to generate dynamically adjusted dietary management plans, forming a personalized health management closed loop of "monitoring-assessment-intervention-remonitoring," achieving precise adaptive adjustment of intervention strategies.

The application relates to the technical field of intelligent sensors and big data processing, in particular to a smart watch multi-source data fusion method and system based on environment sensing. The method comprises the following steps: obtaining an original data set through a smart watch; generating a data frame sequence according to a preprocessing result of the original data set, and generating a fusion feature vector based on the data frame sequence; inputting each fusion feature vector into a preset health mode classification model, and outputting an initial recognition result; generating a health risk level and an environmental influence factor according to the initial recognition result, and outputting user feedback information; extracting features such as a heart rate variation interval, a body temperature change rate and an air quality fluctuation cycle, constructing a fusion feature vector, combining a pre-trained health mode classification system, analyzing a linkage relationship between environmental changes and physiological reactions, and accurately identifying a stress mode caused by environmental pollution; and finally outputting personalized health prompt information based on a risk score mechanism and a historical mode library.

The invention relates to the technical field of data processing and data analysis, in particular to a food quantification method and system for a digestive nursing patient, and the method comprises the following steps: obtaining multi-source heterogeneous time sequence data related to the adjustment of the food of the digestive nursing patient, and carrying out the integration and standardization processing of the obtained multi-source heterogeneous time sequence data, the data after integration and standardization processing are obtained; on the basis of the integrated and normalized data, individual time sequence correlation characteristics between meal adjustment events and subsequent physiological reactions or symptom changes of the digestive nursing patient are mined, and the individual time sequence correlation characteristics are obtained; the problems that real-time or near-real-time individualized adjustment is difficult to realize and an effective feedback optimization mechanism is lacked in the prior art are solved by acquiring multi-source data, mining individualized time sequence correlation features, setting dynamic influence factor weights, generating individualized suggestions and optimizing the weights based on feedback iteration.

A method of monitoring stress of a user includes receiving a plurality of time-series data inputs from a plurality of biometric sensor electrodes of a wearable computing device. The time-series data inputs includes continuous electrodermal activity data and at least one of heart rate data, skin temperature data, and heart rate variability data. The method also includes processing the time-series data inputs using a plurality of filtering techniques in sequence. Further, the method includes selecting a model from a plurality of models based on types of data inputs received as the time-series data inputs to calculate an indicator of a physiological response of the user at a certain time. Thus, the selected model is tailored to use all of the time-series data inputs in the calculation of the indicator of the physiological response. Further, the method includes controlling a function of the device when the indicator of the physiological response exceeds a threshold.

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.

Various components, methods, and systems are provided herein for monitoring physiological responses associated with force-impact events using a mouth-wearable sensing device positioned within an oral cavity of a subject. In some embodiments, the device integrates inertial sensing, force sensing, temperature sensing, and optical physiological sensing on a compact intraoral substrate and transmits physiological data wirelessly to an external computing device for analysis and reporting. In some embodiments, the mouth-wearable sensing device is customized using intraoral scan data to generate a three-dimensional oral cavity model and to position one or more sensors to align with anatomical landmarks when worn.

This invention relates to the field of health and medical data processing technology, and particularly to a method for chronic disease risk management based on community grids. The method includes constructing an initial spatial environmental potential field based on point-of-interest weights; calculating the risk exposure integral sequence and instantaneous potential gradient by combining user trajectories; if the gradient exceeds a threshold, adjusting parameters and using a matrix contour algorithm to extract stress-related abnormal motifs from physiological monitoring data; reconstructing the potential field by statistically analyzing the frequency of group motif attacks; finally, calculating the cross-correlation between the exposure integral and the attack frequency sequence to obtain a causal index; and combining this with health records to output a chronic disease risk rating and intervention instructions. In this invention, by introducing an instantaneous potential gradient to feedforward and regulate the extraction parameters of physiological motifs, the technical problem of traditional fixed-parameter sampling easily missing environmental stress physiological responses is solved, enabling the underlying algorithm to accurately capture users' stress-related abnormal physiological motifs during sudden environmental changes.

The invention relates to an intravenous anesthesia instantaneous dose regulation and control method and device based on operation stage recognition, and belongs to the technical field of medical big data and intelligent control. A deep learning model is used for carrying out high-dimensional feature fusion and time sequence mode analysis, current and future surgical operation stages are dynamically and accurately identified and predicted, an ideal target drug concentration is dynamically set by querying a built-in knowledge base generated by big data mining, and a model prediction controller is driven to calculate an optimal instant infusion rate, so that the optimal instant infusion rate is obtained. Advanced and accurate drug regulation and control are achieved, a closed-loop feedback mechanism is introduced, parameters are adaptively adjusted on line according to actual physiological reactions, and control individualization and safety are ensured. According to the invention, the crossing from passive feedback to active predictive control is realized, the stability and safety of anesthesia depth are obviously improved, and the method has great clinical application value.

This invention extends its capabilities in digital authentication by incorporating sophisticated behavioral and fraud detection analyses alongside dynamic avatar interaction and multimodal biometric assessments. By analyzing a wide range of user behaviors, physiological responses, and interaction nuances, the system provides a comprehensive solution that not only detects traditional forms of identity fraud but also subtle signs of coercion or evasion. This multifaceted approach ensures a highly secure and user-responsive authentication process, making it exceedingly difficult for fraudsters to manipulate or bypass.

The present invention is provided with: an exercise physiological response acquisition unit (105) that acquires data indicating an exercise physiological response of an exerciser; a control parameter calculation unit (106) that calculates a control parameter for controlling an exercise load on the basis of the data indicating the exercise physiological response acquired by the exercise physiological response acquisition unit (105); and an exercise load control unit (107) that, on the basis of the data indicating the exercise physiological response acquired by the exercise physiological response acquisition unit (105) and the control parameter calculated by the control parameter calculation unit (106), uses the control parameter to control the exercise load such that the exercise physiological response reaches a target value.

An adaptive radiotherapy system (100) with biophysical real-time monitoring of the tissue response, wherein the system (100) comprises: a module (1) for real-time biophysical tissue response monitoring, configured to acquire live data on the physiological response and tissue response from a treatment area of ​​a patient during irradiation; a module (2) for localizing patient anatomy and motion detection, configured to detect position changes, organ movements and target shifts in real time; an engine (3) for adaptive treatment planning and dose recalculation, configured to dynamically update a radiotherapy treatment plan based on data received from the module (1) for real-time biophysical monitoring of tissue response and from the module (2) for localizing patient anatomy and motion detection; an engine for predictive modeling of tissue response (4) configured to estimate short-term tissue response, tumor response and normal tissue tolerance using patient data from current and previous sessions; an interface for controlling and modulating the beam (5) which is functionally coupled to a radiation delivery device and configured to modify one or more beam parameters in real time; a safety check and treatment lock control (6) configured to compare current treatment conditions with one or more allowable thresholds and selectively interrupt, stop, or release radiation delivery; and a module (7) for clinical review, data logging and treatment evaluation, configured to store treatment response data, generate session-related adjustment protocols and provide one or more recommendations for subsequent fractions, wherein the system (100) adaptively modifies the radiation output in response to continuously monitored biophysical tissue conditions of the patient.

A system for real-time management of a health condition in a patient. The system includes a wearable sensor including at least one sensor for measuring physiological responses, electrodes configured to stimulate and record a nerve, and a sensor processing module for receiving the physiological responses and the nerve response and transmitting them to a computing device, as well as actuate the electrodes to stimulate the nerve. The system further includes the computing device configured to actuate the sensor device to deliver an initial stimulation, receive the physiological responses and the nerve response, generate a response profile specific to the patient, actuate the sensor device to deliver subsequent stimulations according to the response profile, receive subsequent physiological responses and a subsequent nerve response, and adjust, based on a change, the response profile. The steps of subsequent stimulation, receiving responses, and adjusting the response profile may be repeated until a target point.

The invention relates to the technical field of respiratory rehabilitation training, in particular to a respiratory rehabilitation training system which comprises rehabilitation training equipment and a control subsystem. The control subsystem comprises a human-computer interaction interface, an encryption transmission unit, a multi-mode signal acquisition unit, a preprocessing unit, a feature extraction module, a feature fusion module, an analysis processing module, a control module, a feedback module and an optimization module; the control subsystem is implanted in rehabilitation training equipment, the human-computer interaction interface is connected with the analysis processing module through the encryption transmission unit, the preprocessing unit is connected with the multi-mode signal acquisition unit, the feature extraction module is connected with the preprocessing unit, and the feature fusion module is connected with the feature extraction module. In this way, the physiological features of the user can be monitored in real time in the training process, the training state and physiological reaction of the patient can be comprehensively and timely mastered, the training scheme is dynamically adjusted according to the individual difference and the real-time physical condition, and the training effect is improved.

A method of characterizing a viewer's physiological response to perceived content, comprising: displaying, on a display device, pre-selected content associated with predetermined valence and activation levels; while displaying the pre-selected digital content, collecting first physiological response data from the viewer; determining, based on the first physiological response data, a baseline valence and baseline activation of the viewer; displaying, on the display device, content of interest to the viewer; and while displaying the content of interest: collecting second physiological response data from the viewer; determining a valence and activation of the viewer over a temporal window of the content of interest based on the second physiological response data, the baseline valence, and the baseline activation; and generating and outputting a dynamic visualization representing the viewer's valence and activation for the temporal window of the content of interest.

The invention discloses an electromagnetic interference-free ultrashort wave intelligent physiotherapy self-adaptive regulation and control system based on biofeedback, and belongs to the technical field of medical physiotherapy. The system solves the problems that an existing system cannot carry out real-time adjustment according to the physiological reaction of a patient individual, and treatment parameters are difficult to accurately regulate and control, and auxiliary features are generated by obtaining the individual features and real-time physiological data of the patient and combining context features; predicting probability distribution of tissue reaction by using a neural network model, calculating a confidence interval of the probability distribution, and automatically generating an initial treatment mode by comparing the confidence interval with a threshold value; the treatment effect is simulated, and possible complications and adverse reactions are predicted; evaluating curative effects and risks under different treatment parameter combinations by combining a Pareto frontier map, and automatically generating an optimal treatment parameter combination; treatment parameters are adjusted in time according to the real-time response of the patient, and the dynamic adaptability of the treatment process is ensured, so that personalized treatment is realized, and the treatment effect and the patient satisfaction are improved.

Techniques are provided for analyzing data received from at least one portable physiological measuring device that is configured for temporary attachment to a human body. The techniques involve receiving, from sensors temporarily attached to peripheral artery locations of the body, vascular performance data. A portable signal measuring device determines elasticity of one or more blood vessels based on the vascular performance data. This information is input into at least one algorithm that performs an analysis that includes determining one or more changes in the one or more physiological metrics. Based on the analysis, the algorithm determines whether the one or more changes indicate an immediate physiological response or a delayed physiological response, and a severity of the one or more changes.

A surgical robotic system includes a robotic arm, a user console, and a computer. The robotic arm includes a surgical instrument, and the user console includes a handle communicatively coupled to the robotic arm or the surgical instrument. The computer is configured to receive physiological signals from a sensor monitoring a clinician, determine a physiological response of the clinician based on the received physiological signals, determine a phase or a task of a surgical procedure based on at least one of surgical sensor data or a user command to perform the task, and adjust at least one function of the surgical robotic system based on at least one of the physiological response of the clinician or the phase or task of the surgical procedure.

The utility model belongs to the technical field of operating tables, and particularly relates to a high-precision caenorhabditis elegans nanoscale operating and imaging platform which comprises a connecting plate, telescopic legs which are evenly distributed are rotatably connected to the outer side of the connecting plate, supporting feet are rotatably connected to the inner sides of the bottom ends of the telescopic legs, an adjusting assembly is arranged at the top end of the connecting plate, and the adjusting assembly is connected with the connecting plate. The host assembly is arranged at the top end of the adjusting assembly. The utility model provides a high-precision caenorhabditis elegans nanoscale control and imaging platform which can be taken out by reducing the size of equipment, and meanwhile, the equipment is modularly designed, so that the platform is convenient to carry and brings multiple benefits, firstly, the flexibility is improved by the design, researchers can use the equipment in a natural environment outside a laboratory, and the working efficiency is improved. Therefore, the ecological correlation of research results is enhanced, behaviors and physiological reactions of the nematodes can be observed more truly, in addition, experiments under various environmental conditions become possible through modularization, and the depth and comprehensiveness of research are improved.

The invention relates to the technical field of aquaculture, and particularly discloses a loach spawning induction and incubation integrated device which comprises an incubator, fixing seats are fixedly connected to the two sides of the incubator, and a power assembly is arranged on one side of each fixing seat. Different spawning induction medicines are stored in the multiple independent medicine storage tanks respectively, medicine liquid in the multiple medicine storage tanks enters the premixing box through the conveying pipe, the medicines can be preliminarily mixed in advance through the first stirring assembly, the initial distribution state of the medicines is broken, preliminary fusion is achieved, and then the medicines enter the mixing tank through the feeding pipe; compared with traditional manual mixing, the mode has the advantages that the medicine mixing efficiency is greatly improved, sufficient and uniform mixing of the medicine can be guaranteed through multiple times of stirring, the medicine mixing quality is effectively guaranteed, accordingly, the physiological response of loaches to the medicine is improved, and the induced spawning success rate is remarkably increased.

The present invention relates to the field of generative artificial intelligence (AI), virtual reality, IoT sensor-based system More particularly, the present disclosure relates to a biofeedback VR system for enhancing emotional intelligence and skill development of users. The system (108) includes a plurality of biofeedback sensors (114), processor (202) embedded with a virtual reality simulation engine (214) and an artificial intelligence (AI) engine (212) and a computing device (104) with an application connected to the processor (202). The simulation is dynamically adjusted based on the emotional responses and physiological reactions of primary user (110). The present disclosure relates to a biofeedback VR method for enhancing emotional intelligence and skill development of users and also relates to a system with dynamic adjustment ensuring that the emotional intensity of simulations is in sync with the user's current emotional state, fostering a conducive learning environment for Emotional Intelligence (EI) growth.

The utility model relates to the technical field of massagers, and discloses a frequency-adjustable multi-mode vibration massager which comprises a shell, a fixing mechanism is arranged on the surface of the shell, a massage mechanism is arranged in the shell, and operation buttons are arranged on the front face of the shell. The massage mechanism comprises a control assembly and a massage assembly; the control assembly is located above the massage assembly. Through the massage mechanism and the massage assembly, a supporting plate is extruded through rotation of a cam, so that a massage head massages a user, vibration and music rhythm are perfectly synchronized through the control assembly, deeper connection with music can be generated while the user feels vibration, the effect can be achieved through accurate frequency adjustment and response control, and the user experience is improved. The synchronous vibration effect is achieved; and the massager not only stimulates touch through vibration, but also can influence the emotion and physiological reaction of the user through the vibration intensity and frequency change, so that the effect of multi-sensory comprehensive experience is achieved.

Disclosed is a system, a device, and a method for neuro-acoustic vagal modulation. The method includes the steps of receiving (706) a session type selection, determining (708) stimulation parameters, generating (710) stimulation signals, and transmitting (712) the signals to a neuro-acoustic vagal modulation device (102) positioned behind a user's ear. The method includes receiving (714) physiological response data from the device (102) or an auxiliary wearable device (108), dynamically adjusting (716) the stimulation parameters based on the received data, and transmitting (718) the adjusted signals to the device (102).