66 results about "Physiological reaction" patented technology

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.

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.

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.

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 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 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 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).

The application discloses a kind of sensation nerve quantitative detection method and system based on electroencephalogram characteristics, it is related to electroencephalogram measurement technical field, including: establishing and corresponding detection file of user;Respectively current stimulation module and electroencephalogram detection module are worn in the wrist of user and head;By current stimulation module, current stimulation is gradually applied to user, and gamma wave in the electroencephalogram signal of user is collected in real time by electroencephalogram detection module;Analysis gamma wave in the electroencephalogram signal of user, whether the current intensity that current stimulation module applies to user exceeds the physical stimulation perception threshold of subject is judged;Analysis sensation disorder severity classification.The application has the advantages that: detection is carried out by electroencephalogram signal, does not depend on the subjective feedback of patient, avoids the interference of emotion, psychology and other factors, even if special patient cannot carry out self-perception report, sensation nerve quantitative detection can also be completed by objective physiological response of electroencephalogram.

The present invention relates to an apparatus and a method for applying combined noninvasive modalities such as vibration modalities and phototherapeutic modalities, either singularly or in combination, through an oligodynamic surface to modify the physiological response of a person to treat pain and discomfort from musculoskeletal disorders, and conditions such as wound healing, muscle atrophy and other medical conditions and diseases.

The invention discloses an emotion recognition method and system based on multi-modal biological characteristics, and relates to the technical field of emotion recognition, and the system comprises a multi-modal module, a calculation module, a dynamic module and a summary module. A coupling unit on the summarizing module also calculates a first coupling degree between the eye movement features and the micro-expression features and a second coupling degree between the eye movement features and the voice features through the eye movement feature fluctuation degree, the micro-expression feature fluctuation degree, the voice feature fluctuation degree and a coupling formula respectively, and when the value of the first coupling degree is closer to 1, the second coupling degree is closer to 1; the micro-expression features and the eye movement features are more synchronous, the micro-expression features and the eye movement features of the tested person are closer to natural physiological reactions, and the micro-expression features are not deliberately controlled; when the numerical value of the second coupling degree is closer to 1, the voice features and the eye movement features are more synchronous, further, the voice features and the eye movement features of the testee are closer to natural physiological reactions, and the voice features are not deliberately controlled.

A computer-implemented method and electronic system for determining a measure of heat-induced physiological strain in a mammal is disclosed, which comprises the steps of receiving (S13) measurements of the mammal's core body temperature (CBT) and skin temperature (ST), calculating (S14) a mean body temperature (MBT) as a function of the core body temperature (CBT) and skin temperature (ST), and calculating (S15) a heat strain index (HSI) representing the mammal's heat-induced physiological strain as a function of the mean body temperature (MBT).

The invention relates to the technical field of smoking cessation, in particular to a painless smoking cessation method and system based on pulse electrical stimulation, and the method comprises the following steps: carrying out the real-time adjustment of the frequency and intensity of an electrical pulse through a frequency modulation algorithm based on physiological reaction data, carrying out the targeted setting according to the feedback of a user, and generating the electrical stimulation parameter configuration. According to the invention, the frequency modulation algorithm is adopted to adjust the frequency and intensity of the electric pulse in real time, the electrical stimulation adaptability is improved through accurate control, the physiological needs of a user are better met, the application of the microprocessor programming method enables the electrical stimulation output to be more stable and accurate, the problem of inconsistent electrical stimulation is avoided, and the application of the biofeedback control method enables the electrical stimulation output to be more stable and accurate. The electrical stimulation scheme is allowed to be adjusted according to the real-time physiological response of the user, the targeted treatment effect is enhanced, the combination of the image processing technology and the genetic algorithm has higher accuracy in the aspects of acupoint positioning and stimulation, and the treatment pertinence and effectiveness are improved.

This application relates to a neural modulation method, system, and medium for controlling premature ejaculation based on multimodal biosensing and AI algorithms, belonging to the field of communication stimulation control technology. The neural modulation method for controlling premature ejaculation includes: monitoring and collecting and processing different physiological activities of the human perineum to obtain multidimensional physiological response signal clusters; calculating the comprehensive arousal level based on historical multidimensional physiological signals and a preset physical pattern, and constructing an arousal curve model; identifying and judging the multidimensional physiological response signal clusters based on the arousal curve model, determining the type of arousal node, and matching behavioral intervention strategies; updating and optimizing the arousal curve model based on active behavioral actions and implicit feedback mechanisms; and by monitoring the user's biophysiological signals in real time, using AI algorithms to analyze the trend of arousal changes, and performing physical intervention through electrical stimulation at key nodes, thereby reducing sensitivity, delaying the ejaculation threshold, and achieving the goal of prolonging sexual intercourse time.

The present application provides a pulse penis, including a shell, a first pulse assembly, and a second pulse assembly. The first pulse assembly includes a first motor arranged in an accommodating cavity. The second pulse assembly includes a second motor arranged in the accommodating cavity. The second motor is arranged behind the first motor in a length direction of the shell. An axis of the first motor and an axis of the second motor are located on a same straight line in the length direction of the shell, and the first motor and the second motor operate alternately.The pulse penis generates continuous pulse vibrations with percussive changes in the length direction of the shell as the coaxial double motors operate alternately.This pulse effect can effectively simulate the natural rhythm in a true physiological response.

The present invention provides a virtual reality (VR) system that synchronizes smart stimulation devices (e.g., haptic actuators) with VR content in real time. A simulation engine dynamically adjusts tactile, thermal, or mechanical feedback based on user physiological responses (e.g., eye / hand tracking, heart rate). The system includes a VR headset with motion sensors, wirelessly connected smart devices, and adaptive software to personalize therapeutic experiences. Applications include sexual wellness and trauma recovery, where real-time feedback improves user safety and immersion. The architecture supports modular hardware / software expansion.

An ultrasound neuromodulation system and method, e.g. for treating brain disorders, directs ultrasound transducers to sequentially energise plural candidate target volumes. Physiological responses to

The application belongs to the technical field of locomotive driver ergonomics. The application provides a virtual reality-based evaluation system for the fatigue of a locomotive driver. The disclosed embodiment builds a highly simulated driving scene, simulates long-time and high-intensity driving tasks, reproduces various situations that may cause driver fatigue in a risk-free manner, and monitors and analyzes the physiological response, behavioral change and psychological state of the driver in the simulation process in real time through high-precision equipment, effectively solving the problems of lack of accuracy and real-time of the existing evaluation methods, and timely and accurately evaluating and finding the fatigue degree of the locomotive driver in the task execution process, thereby providing safety guarantee for locomotive driving.

Devices and methods for the stimulation of neural signalling of an apical splenic nerve, the device having a transducer for placement on or around the apical splenic nerve, and a signal generator to generate a signal that stimulates or inhibits the neural activity of the apical splenic nerve to produce a physiological response. The transducer has at least one electrode, and the signal generator is a voltage or current source. The stimulation electrical signal has a frequency of between 1 Hz and 50 Hz.

This invention provides a general-purpose robotic wounded soldier for combat trauma training, belonging to the technical field of combat trauma training models. It includes: a robotic wounded soldier model; a human-computer interaction system for presetting initial combat trauma states; a wound simulation control module that generates query strings containing location, type, severity, and duration based on the preset states, calls a wound simulation knowledge graph to match corresponding wound state nodes, thereby obtaining descriptions of skin appearance, skeletal movements, language behavior, and physiological data, and uses this to drive the model to perform real-time morphological and appearance simulation, real-time voice output, and physiological data numerical output; and a training interaction module that collects real-time data on treatment actions and on-site environmental conditions, inputs this data into a state transition decision tree model integrating the influence of environmental and treatment conditions, and generates new wound state nodes that conform to the laws of medical evolution. This invention can accurately and in real-time simulate the physiological reactions and wound changes of wounded soldiers based on dynamic battlefield environments and treatment operations.

The invention belongs to the technical field of edible fungus cultivation, and relates to a quality evaluation method and system for edible fungus strain growth data, and the method comprises the following steps: preparing a multi-dimensional physiological response monitoring fungus bag with a self-diagnosis capability; packaging the position, intensity and duration parameters of the micro-thermal stimulation into a targeted stress signal containing stimulation point information; generating a real-time physiological state composite map; constructing a multi-dimensional state response vector representing the comprehensive physiological reaction degree of the hyphae; generating a growth quality evaluation index which quantitatively represents the growth quality of the current strain; and based on the score interval of the growth quality evaluation index, automatically associating a preset disposal suggestion library, and integrating the strain information and associated disposal suggestions to generate a diagnosis report containing the disposal suggestions. The problems that high-frequency continuous monitoring cannot be carried out on a large batch of fungus bags, and the application range and depth of the fungus bags in actual production are limited are solved.