31 results about "Autonomic nerve" patented technology

The application discloses a preparation method and application of a conjugate targeting pelvic autonomic nerves, wherein the conjugate is NE-RH formed by coupling of rhein and norepinephrine, the conjugate can realize precise targeting of norepinephrine neurons, improve the accumulation effect of RH in the norepinephrine neurons, and further enhance the nerve protection effect of RH. The conjugate has a molecular weight of less than 1000 Da, can help to penetrate the blood-brain barrier, and can avoid the defects of being easily removed by a mononuclear phagocyte system and having a short half-life. The production process of the conjugate is simple, the chemical coupling reaction is clear, the yield can reach 38%, and the purity of the product is greater than 99%, so that the conjugate is convenient to popularize and use. The conjugate and the preparation method have important significance for the damage repair of pelvic autonomic nerves.

The present technology provides systems and methods for delivering electrical stimulation having relatively long pulse widths to a patient’s spinal cord region to treat autonomic nervous system dysfunction. For example, some embodiments include delivering an electrical therapy signal having individual pulses with pulse widths of between about 2 milliseconds and about 10 seconds. The electrical therapy signals may treat autonomic nervous system dysfunction by normalizing activity of the patient’s parasympathetic nervous system, normalizing activity of the patient’s sympathetic nervous system, and / or normalizing a balance of activity between the patient’s parasympathetic and sympathetic nervous systems.

This invention discloses an essential oil-based intervention system for the simultaneous treatment of heart and brain function based on dual feedback of eye movement and heart rate variability, belonging to the field of rehabilitation medicine technology. The system includes: a data synchronization acquisition module, which acquires heart rate variability data and eye movement characteristic data and generates a synchronized physiological data stream; a dual feedback joint assessment module, which assesses the patient's real-time physical and mental state level based on the synchronized physiological data stream; a synchronized intervention decision module, which generates essential oil atomization control instructions and eye movement training control instructions in parallel according to the physical and mental state level; and a synchronized intervention execution module, which drives the essential oil atomization unit and the eye movement training unit to execute corresponding intervention actions synchronously at the hardware level on the time axis. This invention achieves integrated and precise intervention of heart and brain function through dual-modal physiological feedback closed loop and synchronized control, effectively solving the problems of brain separation, delayed intervention, and poor coordination in traditional rehabilitation centers, and improving the synchronous rehabilitation effect of cognitive function and autonomic nervous function in stroke patients.

The application discloses a kind of based on photoelectric volume pulse wave inhibits local interference autonomic nerve function evaluation method and system, belong to biomedical signal processing field.The method includes: obtaining PPG signal S (t) ;From it respectively extracts the first parameter of the oscillation component N (t) of characterizing blood vessel tension, and the second parameter of characterizing local time-varying gain factor G (t) ;The first parameter is associated with correction using the second parameter, to inhibit the local interference introduced by G (t), to correct and generate stabilized autonomic nerve function evaluation index, which corresponds to the pure evaluation of nerve component N (t).The present application overcomes the defects in the prior art that the evaluation index is easily disturbed by local physiological physical factors, and only single PPG signal can realize high robustness, high stability autonomic nerve function quantitative evaluation.

The application relates to a closed-loop nerve regulation system and method based on heart-brain interaction, which comprises four modules of multi-modal physiological signal acquisition, cross-modal feature fusion evaluation, Bayesian parameter optimization and median nerve electric stimulation output, can synchronously collect signs, fuse features to give scores, optimize stimulation parameters and apply electric stimulation, and forms a closed loop. Through the whole-link design of multi-modal signal synchronous acquisition, cross-modal feature intelligent fusion, stimulation parameter dynamic optimization and closed-loop electric stimulation intervention, the closed-loop nerve regulation system based on heart-brain interaction according to the embodiment of the application can effectively solve the core pain points of traditional consciousness disorder patient wake-up treatment, such as lack of real-time feedback, one-sided single-index evaluation, insufficient use of autonomic nervous signals and non-intelligent control of non-invasive stimulation, realize precise evaluation and individualized intervention, improve the wake-up efficiency, reduce the risk, and promote the data-driven change of nerve regulation.

Provided is an information presentation method for proposing a fatigue recovery method suitable for the fatigue state of a user from among a plurality of fatigue recovery methods. Specifically provided is a recommendation system which classifies the fatigue state of a user into a third state when the muscle hardness of the user is equal to or greater than a second threshold value, and classifies the fatigue state of the user into a first state when the muscle hardness is equal to or greater than a first threshold value and is smaller than the second threshold value. The recommendation system classifies the fatigue state of the user into a second state when an autonomic nerve index is equal to or smaller than a third threshold value, and classifies the fatigue state of the user into the second state when a cortisol value is equal to or greater than a fourth threshold value. The recommendation system recommends a fatigue recovery method according to the classified fatigue state.

The present technology provides systems and methods for delivering electrical stimulation having relatively long pulse widths to a patient’s spinal cord region to treat autonomic nervous system dysfunction. For example, some embodiments include delivering an electrical therapy signal having individual pulses with pulse widths of between about 2 milliseconds and about 10 seconds. The electrical therapy signals may treat autonomic nervous system dysfunction by normalizing activity of the patient’s parasympathetic nervous system, normalizing activity of the patient’s sympathetic nervous system, and / or normalizing a balance of activity between the patient’s parasympathetic and sympathetic nervous systems.

This invention relates to the field of remote monitoring technology, and in particular provides a smart elderly care remote monitoring system and intelligent status monitoring method. The system includes a data sequence acquisition subsystem for generating heart rate, blood pressure, and biochemical data sequences; these three data sequences are timestamped within the device to form a synchronized raw physiological and biochemical data stream; a weighted fusion subsystem generates a multidimensional health vector containing cardiovascular load index, metabolic activity, and autonomic nervous system regulation capacity through a weighted fusion algorithm; and an early warning level output subsystem allows edge computing nodes to compare the real-time generated multidimensional health vector with a personalized health baseline for the elderly pre-stored in a local database, calculating the offset between the vector and the baseline; and automatically classifying three early warning levels based on the offset magnitude. This invention strengthens the privacy protection of the elderly's personal health data from a technical architecture perspective.

Methods of improving ARDS by regulating a stellate ganglion is provided herein. Methods of improving a hypercoagulation state are also provided by regulating the sympathetic nervous system.

Systems and methods are provided for delivering closed-loop or partially closed-loop baroreflex activation therapy (BAT) to treat conditions associated with autonomic dysfunction. A pulse generator delivers stimulation while physiological data, such as ECG, heart rate variability, bioimpedance, and physical activity levels, is collected from one or more sensors. The data is analyzed to assess autonomic nervous system activity, and stimulation parameters are dynamically adjusted in response. In some embodiments, adjustments are made on a beat-to-beat basis using ECG input. Artificial intelligence algorithms may be used to predict patient-specific responses, optimize therapy, and evaluate effectiveness. The method may further include integrating patient-reported symptoms, wirelessly transmitting data, or adjusting stimulation duty cycle based on time of day. The system may further incorporate patient-reported symptoms, a clinician dashboard for remote monitoring, and a multi-channel lead. Stimulation may be delivered non-invasively or via an implantable device.

This invention proposes a method for detecting autonomic nervous system-mediated events based on the decoupling of surface physiological signals. The method includes the following steps: acquiring surface electrophysiological activity signals from the chest using a surface electrophysiological acquisition device; separating the surface electrophysiological activity signals using a rapid independent component analysis method to obtain a reference electrocardiogram (ECG) signal and a mixed residual signal; using the R-wave sequence of the reference ECG signal as a time reference, excluding the high-energy ECG window centered on the R-wave from the mixed residual signal, and extracting neural-related electrical activity feature vectors from the low cardiac electrical activity intervals between heartbeats; constructing a sequence of cardiac electrical and neural potential activity states, establishing a sequence model, and outputting the continuous time trajectory of the autonomic nervous system-mediated state. This invention uses the R-wave peak value of the reference ECG as a time reference to locate and exclude high-energy ECG windows, and extracts neural-related features from the low cardiac electrical activity intervals between heartbeats, significantly reducing the interference of QRS residues on the assessment of autonomic nervous system-mediated regulation and improving feature stability and repeatability.

This invention provides a method, system, storage medium, and device for grading chronic stress emotional states. The method includes continuously and non-interfering acquisition of ultra-low frequency physiological data such as heart rate and blood oxygen saturation via a wrist-worn device; extraction of characteristic indicators such as diurnal heart rate variation, recovery time, heart rate entropy, and low blood oxygen duration; simultaneous acquisition of psychological scale and personality trait data, construction of an associated database, and analysis of patterns; and training a machine learning model based on selected physiological features and psychological grading labels to achieve automatic grading of chronic stress states (mild, moderate, and severe). This invention effectively characterizes changes in autonomic nervous function under long-term stress by utilizing ultra-low frequency physiological rhythm characteristics and combines them with personality traits for personalized modeling, solving the problem of objectively, continuously, and accurately assessing the chronic stress state of individuals in real high-risk work environments.

This invention discloses a method for detecting epileptic seizure signals based on multimodal gating fusion to resist artifacts. First, a rigorous signal quality preprocessing method based on intersection is implemented, retaining only temporal windows that simultaneously meet all modal quality thresholds, ensuring that the main classification model operates only on globally reliable data. Second, a motion feature extraction module and a dynamic gating fusion module are introduced, overcoming the limitations of static splicing by dynamically weighting the contributions of inertia and electromyography features based on global context. Finally, through a skin conductance feature extraction module and a skin conductance gating residual module, low-frequency autonomic nerve features are used as soft gating to modulate high-frequency motion representations, preventing key sympathetic arousal indicators from being masked. This effectively suppresses false alarms caused by non-epileptic movements using autonomic nerve context, achieving highly sensitive and robust epileptic seizure signal detection through a classification head module.

The present technology provides systems and methods for delivering electrical stimulation having relatively long pulse widths to a patient’s spinal cord region to treat autonomic nervous system dysfunction. For example, some embodiments include delivering an electrical therapy signal having individual pulses with pulse widths of between about 2 milliseconds and about 10 seconds. The electrical therapy signals may treat autonomic nervous system dysfunction by normalizing activity of the patient’s parasympathetic nervous system, normalizing activity of the patient’s sympathetic nervous system, and / or normalizing a balance of activity between the patient’s parasympathetic and sympathetic nervous systems.

A measurement apparatus includes a first biometric sensor configured to measure, as a biological signal, at least one of a brain wave signal and a pulse wave signal of a living body, a second biometric sensor configured to measure a respiratory rate of the living body per unit time, a differential operation unit configured to calculate a differential value of a periodic feature of the biological signal, an activity level analysis unit configured to analyze an activity level of an autonomic nerve of the living body based on the differential value, and an activity level correction unit configured to correct the activity level of the autonomic nerve by eliminating a component caused by respiration of the living body and included in the activity level of the autonomic nerve based on the respiratory rate of the living body per unit time.

The utility model relates to health monitoring technical field, especially sleep time health monitoring device of wearing on the chest. Including the three -axis acceleration sensor for monitoring respiratory rate, the photoelectric pulse sensor of monitoring heart rate and the singlechip of calculating both data, each sensor is electrically connected with the singlechip. Wear in front of the chest when using, three -axis acceleration sensor monitors respiratory rate through the three -axis displacement of capturing chest fluctuation and acceleration change, the photoelectric pulse sensor utilizes light emission and reception to obtain pulse wave signal and monitors heart rate, and the corresponding data is obtained after the singlechip calculates and analyzes the signal. This device distinguishes the breathing cycle and the body movement through the body movement signal, reduces the interference, combines the synchronism analysis of heart rate and respiratory rate 4:1 and assists in judging the autonomic nerve function, provides the data for sleep quality evaluation etc, has the advantages such as small, low, suitable for daily sleep use etc, is applicable to the daily health management of the middle-aged and old people and the light sleep disorder person.

We provide formulations of ion channel modulators. [Solution] The present invention partially relates to compositions or dosage forms comprising condensed heteroaryl compounds useful for preventing and / or treating diseases or conditions associated with abnormal function of voltage-gated sodium ion channels, such as abnormal delayed / persistent sodium currents. Methods for treating diseases or conditions associated with abnormal function of sodium ion channels, including neurological disorders (e.g., Dravet syndrome, epilepsy), pain, neuromuscular disorders, trigeminal-autonomic headache (TAC), migraines, cranial nerve disorders or polycranial nerve disorders, and cortical spreading depression (CSD), are also provided herein. In another aspect, the present invention provides methods for producing ion channel modulators.

The present disclosure relates to a method performed by a processor of a mental health information providing device for providing a user interface for providing mental health information, the method including obtaining brain wave data and heartbeat data of a user, calculating a brain health index representing brain activity, brain flexibility, brain intelligence, and brain balance based on the brain wave data, calculating a mental health index representing autonomic nerve activity, autonomic nerve balance, and stress based on the heartbeat data, and providing a service interface screen that graphically visualizes the calculated brain health index and mental health index.

This invention discloses a multimodal perception fusion-based emergency training virtual reality closed-loop control system and method, belonging to the field of virtual reality technology. It includes: a multi-source data synchronous acquisition module, which synchronously acquires trainees' eye-tracking data, visual three-dimensional skeletal posture key point data, and wrist-worn physiological sensor data; a virtual-real space dynamic registration and multimodal feature extraction engine, which calculates mapping relationships and extracts feature vectors representing visual attention allocation patterns, kinematic features of movements, and autonomic nervous system stress response parameters; a real-time state quantification assessment module, which outputs a real-time state assessment vector containing a comprehensive risk avoidance index and a state stability coefficient; a virtual environment dynamic control module, which matches teaching intervention strategies and generates scene control instructions; and an immersive situational cognition guidance and feedback module, which, when the state stability coefficient is determined to be lower than a preset stress safety threshold, prohibits the triggering of new preset environmental disaster events and activates a parameterized flexible situational guidance mechanism.

The application provides a depression onset risk prediction method and system based on causal representation learning, and relates to the technical field of intelligent medical treatment. First, a multi-source implicit monitoring data set of a target object is obtained, which includes autonomic nervous function nonlinear micro features, intelligent terminal touch behavior micro features, environmental spatio-temporal big data, and non-depression related medical track data in an electronic health record. Then, the data set is subjected to causal variable level marking processing. Next, a causal variational autoencoder network is called to extract a causal latent representation vector set. Then, a causal link graph model is constructed based on the causal latent representation vector set and the causal variable level marking. Finally, causal weighted fusion processing is performed on real-time collected individual multi-source time series monitoring data according to the causal link graph model, and the depression super-early onset risk assessment model is input to generate a depression onset risk probability output result containing a prediction time window identifier. The application realizes super-early accurate prediction of the depression onset risk.

The present application relates to the technical field of resting effect recognition, and particularly relates to a resting effect explainable recognition method based on a wearable smart device. The method comprises a PPI data acquisition and preprocessing step, a training data set construction step, a deep learning model and training step, and a result explanation step. The deep learning model and training step comprises inputting PPI data and CR rhythm, completing double-channel feature decoupling extraction in an encoder layer, realizing rhythm perception modeling through a dynamic physiological graph attention layer, and outputting a decision through a classifier layer. The result explanation step explains the resting effect classification through deep learning model node data and sleep behavior CR rhythm. The present application can obtain neurophysiological and behavioral explanations of the resting effect from the contrast between autonomic nervous circadian rhythm and work and rest behavior.

This invention relates to the field of sleep aid technology, specifically to a multimodal physiological rhythm traction sleep intervention method and system. It dynamically determines a target guiding heart rate based on heart rate data, generating a physiological guidance cycle that includes inhalation and exhalation phases with durations adaptively adjusted according to heart rate changes, ensuring the guiding rhythm remains synchronized with the user's actual heart rate changes. Synchronous control signals are generated, acting on the visual, auditory, and tactile channels respectively. Through forced synchronous changes of the three sensory channels under the same rhythmic clock, a cross-sensory rhythm traction field is formed, actively inducing the user's heart rate to approach the target resting level. The physiological guidance cycle is continuously adjusted based on real-time updated heart rate data, forming a closed-loop control chain of monitoring, intervention, evaluation, and re-intervention until the user's autonomic nervous system switches to a sleep preparation state, thereby achieving active physiological rhythm traction under multimodal synergy.

The application provides a real-time monitoring system for autonomic nervous function, comprising a signal processing and feature extraction module (2), a data communication and display module (4), characterized in that it further comprises an intelligent guidance and feedback module (5) for guiding the user to perform a standardized short test; an autonomic nervous function analysis module (3) for real-time analysis of the real-time physiological data by a lightweight AI model to determine whether the autonomic nervous function is in disorder; wherein the physiological signal acquisition module (1) is a wearable device arranged on the wrist or earlobe of the user, and the physiological signal acquisition module (1) integrates a PPG sensor (for monitoring heart rate), a GSR sensor and an accelerometer. The technical scheme provided by the application can guide the user to perform rehabilitation training by actively guiding the user to perform breathing training, and can effectively control the emotional index of the user, thereby achieving better rehabilitation guidance effect.

A dual-sensor bone-conduction system enables real-time theranostic monitoring of vagal, vascular, and neuro-physiological activity through simultaneous acoustic fingerprinting and bio-impedance spectroscopy. A bone-conduction transducer transmits frequency-swept mechanical energy (32 Hz-1 MHz) while a piezoelectric receiver and tetrapolar electrodes capture reflected and dielectric responses. Machine-learning fusion of these signals yields indices of vascular resonance, mechanical-electrical coherence, and bilateral autonomic symmetry. Embodiments include cranial EEG-type headsets, thoracic ECG-type modules, smartwatches, veterinary collars, and plant-stress sensors. The system supports diagnostic imaging, closed-loop acoustic neuromodulation, and cross-species health or stress detection in a low-power, wearable, and non-invasive form factor.

The application provides a kind of infantile electrocardiosignal intelligent analysis method and system based on conductive fabric, it is related to electrocardiosignal processing technical field, including: through flexible conductive fabric, multi-channel electrocardio data is collected, space correlation matrix is constructed to select optimal reference channel to obtain complete electrocardio data.Waveform reconstruction and feature extraction are carried out on complete electrocardio data, and physiological state feature vector is constructed.By querying heart rate baseline reference interval, the feature vector is calibrated and corrected, the heart rhythm type is determined by combining the interval stability and autonomic nervous state, and the analysis result is generated.The application realizes the stable collection and intelligent analysis of infantile electrocardiosignal, improves the analysis accuracy and reliability.

This invention discloses a transcutaneous autonomic nervous system modulated electrical stimulation device, belonging to the field of transcutaneous autonomic nervous system modulated electrical stimulation technology. It includes an ear loop with an internal insertion groove. A connector is inserted into the groove, and a connector is fixedly connected to the outside of the connector. Multiple wires are fixedly connected inside the connector, with a patch fixedly connected to one end of each wire. A micro-puncture head is fixedly connected to one side of the patch. Two corresponding main unit shells are snapped onto the outside of the ear loop. The beneficial effects of this invention are: minimally invasive puncture of the skin is performed using the micro-puncture head, and the patch is firmly adhered to the outer side of the skin using medical adhesive; the percutaneous microelectrode structure directly acts on the vagus nerve, effectively bypassing the skin impedance layer, significantly reducing contact impedance, improving the utilization rate of stimulation energy, reducing adverse reactions such as skin stinging and redness, resulting in a more stable stimulation signal and significantly improved treatment effect.

Methods, agents, and devices to treat medical conditions through local chemical neuromodulation of the autonomic nervous system are described. Drug formulations may be injected at or near ganglia, nerve plexi, ganglionated plexi, and nerves to treat different diseases. Target sites for the treatment of cardiac and other disease conditions may include extrinsic stellate (cervicothoracic) and cervical ganglia of the sympathetic chain, and intrinsic cardiac nerves and ganglionated plexi innervating the myocardium.

A system and methods are disclosed for enabling or improving control of cardiovascular and / or vasomotor autonomic functions in a patient having a neurologically derived paralysis or a nervous system disorder.