76 results about "Autonomic nervous system" patented technology

The invention relates to the technical field of intelligent medical treatment, and discloses an AI-based severe patient sepsis early warning method and system. According to the method, a multi-organ interaction mechanism is deeply analyzed by dynamically constructing an organ-level causal network, and early-stage accurate early warning of sepsis is realized: high-frequency physiological waveforms, asynchronous laboratory indexes and treatment intervention data are fused, and the capture ability of microcirculation failure and autonomic nerve decline is improved; the early warning threshold value is dynamically adjusted based on the treatment coverage degree, and the delay and false alarm defects of a fixed threshold value mechanism are effectively overcome; a pathogen targeted therapy map and an organ function support scheme are automatically generated by a graded triggered clinical action chain, and the clinical decision response time is shortened; according to the method, the risk of missed diagnosis is reduced while the early warning sensitivity is improved, and an earlier and more reliable intervention window is provided for critical patients.

The invention discloses a psychological health screening method and system based on a large model, and relates to the technical field of psychological health, and the method comprises the following steps: scale data, micro expression video data and physiological signal data of a user are acquired, a multi-modal data acquisition module is constructed, and the physiological signal data at least comprises EEG (electroencephalogram) and PPG (pulse photoplethysmography); performing preprocessing and feature extraction on the scale data, the micro-expression video data and the physiological signal data; according to the psychological health screening method and system based on the large model, cross validation is carried out from three dimensions of subjective reports, unconscious behaviors and autonomic nerve responses by fusing multi-modal data such as scales, micro expressions, EEG and PPG; the problem that a traditional single scale method is easily influenced by subjective deliberate concealment, memory deviation and social sponsoring effect is fundamentally solved.

The invention discloses an acupuncture intervention method after a pancreatic cancer operation, and aims to solve the problem that autonomic nerve regulation based on heart rate variability in an acupuncture stimulation closed loop is difficult to objectize and safely optimize. Heart rate variability time-frequency and time-domain features and respiratory coherence are extracted based on synchronous compression wavelets, a reliability score is generated, short-time heart rate variability and uncertainty are predicted through a neural state space model, a hierarchical control barrier function is generated through a context gating network, a safe MPC is constructed, and real-time quadratic programming solution is carried out. The heart rate variability enters the target domain and the stimulation parameter change rate and the energy consumption are reduced under the condition that safety constraints such as current, pulse width, charge quantity and impedance are met by combining safety verification and self-adaptive updating, and the reliability and the robustness of closed-loop control are improved.

The invention relates to the technical field of medical instruments, in particular to a multi-mode biological feedback ear vagus nerve self-adaptive stimulation device and method.The device comprises a host, a stimulation electrode, a signal collection bracelet and an electroencephalogram collection module, and the host comprises core hardware configuration and a power management system; the signal acquisition bracelet comprises an ECG module, a PPG module, a GSR module, a six-axis acceleration sensor and the like. The ear vagus nerve stimulation parameter can be dynamically adjusted through real-time analysis of multi-mode data such as electrocardio, electroencephalogram, heart rate variability, respiration-heart rate synchronism and emotional state, personalized precise treatment is achieved, meanwhile, the wearing comfort and the durability of the device are improved, and the application range is wide. The traditional Chinese medicine composition can be used for auxiliary treatment of various diseases such as inflammatory bowel disease, epilepsy, chronic insomnia, depression, chronic pain, anxiety disorder, post-traumatic stress disorder and autonomic nerve dysfunction, and the functions of a nervous system are adjusted and the symptoms of a patient are improved by accurately stimulating the vagus nerve in the auricular concha area.

Essentially, the present invention comprises an assembly for transvascular stimulation from within an artery, enabling nerve stimulation to one or more regions of the autonomic nervous system around an artery by a bipolar guidewire having a distal end of a suitable shape, and this stimulation can be performed rapidly or for mapping purposes.

This invention discloses a material with high photothermal conversion efficiency, its preparation method, and its application in neural modulation, belonging to the field of biomedical technology. In this method, liquid metal is ultrasonically spun into nanoscale particles. Using these liquid metal nanoparticles as templates, hollow nanoshells composed of ultra-small metal nanoparticles can be prepared through an electrocoupling reaction with a metal salt. This method is simple, easy to operate, and applicable to various metals. The prepared material with high photothermal conversion efficiency has a hollow structure, a rough surface, and pores. This unique structure endows it with a strong photon trapping ability, significantly enhancing light absorption and exhibiting ultra-high photothermal conversion efficiency. This invention allows for the injection of this material into the nerve, utilizing its excellent photothermal effect for rapid and precise neural modulation, thereby achieving effective prevention and treatment of autonomic nervous system-related diseases, and showing promising application prospects.

This disclosure presents systems and methods for baroreflex activation therapy (BAT) to regulate inflammation by modulating autonomic nervous system activity. Electrical stimulation is delivered to one or more baroreceptors, and real-time physiological signals are monitored, including inflammatory biomarkers (e.g., TNF-α, IFN-γ, IL-1, IL-6, IL-12, CRP) and autonomic parameters such as heart rate variability (HRV). A closed-loop feedback module analyzes biomarker fluctuations and autonomic balance changes and dynamically modifies stimulation parameters, including amplitude, pulse width, frequency, and duty cycle, to suppress systemic inflammation and restore autonomic balance. In certain embodiments, multi-channel stimulation architectures and AI-driven algorithms or machine learning models analyze biomarker trends and historical patient response patterns to optimize therapy. The disclosed BAT systems and methods may be used to treat inflammatory diseases, autoimmune disorders, cancer progression, chronic inflammatory pain conditions, arrhythmias associated with inflammation, and metabolic dysfunction.

The invention relates to the technical field of evaluation of heart rehabilitation curative effects of breast cancer chemotherapy patients, in particular to a method and system for evaluating the heart rehabilitation curative effects of the breast cancer chemotherapy patients, and the method comprises the following steps: continuously obtaining heart rate variability data and skin conductance data of the breast cancer chemotherapy patients; based on the heart rate variability data and the skin conductance data, the activation state of the autonomic nervous system of the patient is judged; according to the activation state of the autonomic nervous system of the patient, quantifying the intensity and duration of the internal emotional state of the patient, and generating an emotional energy index; when the conventional physiological indexes of the patient fluctuate, determining a physiological fluctuation attribution result in combination with the emotional energy index to distinguish whether the physiological fluctuation is derived from heart function change or emotional influence; and evaluating the cardiac rehabilitation effect of the patient based on the physiological fluctuation attribution result. The accuracy of heart rehabilitation curative effect evaluation can be improved.

Embodiments of the present disclosure undertake physiological measurements of a subject whilst the subject is listening to music. The physiological measurements, together with predetermined characteristics of the music, are then used as inputs into a machine learning network, such as a graph convolution neural network (GCNN), which undertakes a classification based on the physiological measurements and musical properties as to whether the subject has a particular disease or pathological condition, such as for example hypertension. The use of the music whilst obtaining the physical measurements resulted in an increase in accuracy of the measurement of the disease or condition prevalence of greater than 10 to 15%. This improvement is due to the modulatory effects of music on the autonomic nervous system augmenting differences between people with distinct autonomic profiles.

Systems and methods for controlling autonomic symptoms or side effects via spinal cord stimulation are discussed. An exemplary neuromodulation system comprises an electrostimulator to provide spinal cord stimulation (SCS) to a neural target, a user interface device to receive a user input including an autonomic symptom and affected anatomy, and a controller circuit to determine or adjust a stimulation parameter based at least on the autonomic symptoms and the affected anatomy. Spinal cord stimulation can be delivered in accordance with the determined or adjusted stimulation parameter to alleviate the autonomic symptom, or to treat or alleviate autonomic disorders.

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

A method and device for modulating the autonomic nervous system adjacent a pericardial space to treat cardiac arrhythmia includes a treatment source arranged to supply a treatment medium, a catheter having an end sized for insertion into the pericardial space, a medium delivery assembly having a distal end arranged to be positioned by the catheter into the pericardium, with the distal end of the delivery assembly comprising a delivery tip arranged to extend away from the distal end of the catheter into the pericardial space. A connector operatively couples the delivery tip of the medium delivery assembly to the treatment source, and the delivery tip of the medium delivery assembly including a plurality of delivery points for delivering the treatment medium at a plurality of treatment areas within the pericardial space. The device performs modulation or ablation of the autonomic nervous system at selected treatment areas within the pericardium.

The invention relates to a composition for use in regulating the autonomic nervous system.

The invention discloses a heart rate variability fatigue detection method and system based on WiFi signals, and relates to the technical field of wireless sensing. The method comprises the following steps: controlling a WiFi transceiver to collect an original CSI signal of an environment in which a target individual is located, and preprocessing the original CSI signal; based on a blind source separation technology, independent source signals are dissociated from the preprocessed CSI signals, and heart signal components are selected through quantitative calculation; a heart beat interval sequence is extracted from the heart signal components, and heart rate variability characteristics reflecting the state of the autonomic nervous system are extracted; and inputting the heart rate variability characteristics into a pre-trained fatigue classification model, and outputting a fatigue state judgment result corresponding to the target individual. According to the method, the existing commercial WiFi facility is utilized, a user does not need to wear equipment, early-stage, objective and non-inductive high-precision recognition of physiological fatigue is realized, meanwhile, non-invasiveness, privacy protection and low cost are considered, and the method has certain popularization value.

A system for monitoring autonomic nervous system (ANS) function in a subject includes at least one sensor configured to acquire a first physiological signal related to heart activity of the subject, one or more additional sensors configured to acquire one or more physiological signals, a processing unit configured to receive, process and analyze the first and additional physiological signals to monitor / detect, in real time, at least one of an autonomic nervous system dysfunction and a change in a physiological state of the subject and determine an output condition based on the detection, and an output mechanism configured to perform, based on the output condition, generating an alert, initiating a treatment, and / or storing data. At least one of the additional sensors is a blood glucose sensor, a respiration sensor, a sudomotor activity sensor, a pulse wave sensor, an electroencephalography (EEG) sensor, an electromyography (EMG) sensor or a motion sensor.

The embodiment of the invention provides an intelligent detection system and device based on ventricular assist equipment, and relates to the technical field of medical instruments.The system comprises the ventricular assist equipment and detection equipment, and the ventricular assist equipment is implanted into the heart of a patient in a percutaneous intervention mode and assists the heart of the patient in blood pumping; the detection device is used for detecting physiological nerve parameters of a patient during operation of the ventricular assist device, and the detection device executes the following intelligent detection method: acquiring a physical measurement signal at the current moment; mapping the physical measurement signal into a target discharge frequency of the baroreceptor according to a preset nonlinear mapping relation; and based on the target discharge frequency, adopting a physiological correlation model to predict the target neural activity of the patient. By applying the scheme provided by the embodiment, the autonomic nerve regulation state of the patient can be accurately and continuously evaluated.

The invention relates to an emotion recognition method based on cross fusion of multiple time-frequency diagrams. Single-path electrocardiosignals are subjected to fine grit decomposition and converted into multi-dimensional time-frequency diagrams so as to construct a multi-view signal description system. Through multi-time-frequency graph fusion and a local-global feature cross fusion mechanism, information of signals under different time scales and frequency resolutions is dynamically integrated, so that complex dynamic states of rapid fluctuation and slow adjustment of the autonomic nervous system are comprehensively captured. Meanwhile, heart rate variability is used as key neuroscience priori knowledge and is directly embedded into a model input and feature learning process. In the aspect of feature extraction, a convolution block and a Transform block are crossed and fused to realize collaborative perception of local subtle changes and global function states, and deep features with higher robustness and higher discrimination are obtained with lower calculation cost.

Methods for activating a person's autonomic nervous system may include: electrically coupling a first electrode to a vagus nerve via a transdermal coupling at a location rostral to the human's thoracic spine; electrically coupling a second electrode to a nerve in communication with the same vagus nerve or a different vagus nerve via a transdermal coupling at a site caudal to the human's cervical spine; and applying a therapeutic current waveform to cause current flow between the first and second electrodes and along at least a portion of the vagus nerve or nerves between the first and second electrodes. Apparatuses are disclosed for performing the methods.

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.

This invention relates to the fields of digital therapy, intelligent medical devices, and applied artificial intelligence technologies, and more specifically to a closed-loop pain management method and system integrating diagnostic assistance and interference-resistant sensing. It includes: a wearable device comprising: a neuromodulation signal generator configured to generate neuromodulation stimulation pulses; a biosensor array physically integrated with the neuromodulation signal generator configured to sense physiological data indicating the user's autonomic nervous system activity; a controller configured to execute a time-division multiplexing protocol; a processor; and a non-transitory computer-readable storage medium associated with the processor for generating a diagnostic support report. This invention enables simultaneous effective neural stimulation and high-fidelity ANS signal acquisition on a single wearable device.

The invention relates to a training aircraft pilot physiological state monitoring and early warning system, and belongs to the technical field of aviation physiological monitoring and early warning. The system comprises a data acquisition and preprocessing module, an autonomic nervous system toughness evaluation module, a dynamic toughness index fusion module and an early warning generation module. The system obtains a multi-mode physiological signal and a flight parameter of a pilot; by calculating a cross-modal phase synchronization index, a state space trajectory convergence rate and a brain function network modularization coefficient, evaluation is carried out from three dimensions of cardiopulmonary coupling strength, system recovery capability and cognitive load state; carrying out weighted fusion on the multi-dimensional indexes to form a comprehensive dynamic toughness index, and determining an early warning grade according to the comprehensive dynamic toughness index; according to the method, comprehensive evaluation indexes are constructed, so that the defect that a traditional method depends on a single physiological index and is easily interfered is overcome, the false alarm rate is remarkably reduced, and the robustness and reliability of an early warning result are enhanced.

The present invention provides histamine H1 receptor antagonism-based uses for various uses (histamine H1 receptor antagonism uses, uses to improve sleep quality and / or modulate balance of the autonomic nervous system, and uses to improve sleep quality and / or modulate balance of the autonomic nervous system. And a use for preventing the onset of autonomic nervous system dysfunction or a symptom caused thereby or for improving autonomic nervous system dysfunction or a symptom caused thereby). The present invention relates to: a composition comprising, as an active ingredient, at least one substance selected from the group consisting of indole-3-lactic acid, alpha-Asp-Phe, Val-Arg, Asp-Gly-Glu, and salts thereof, or a lactic acid bacteria culture supernatant (not containing lactic acid bacteria cells) of a lactic acid bacteria belonging to any genus selected from the group consisting of the genus Lactobacillus, the genus Lactobacillus, and the genus Lactobacillus; the liquid supernatant contains at least one substance selected from the group consisting of indole-3-lactic acid, alpha-Asp-Phe, Val-Arg, Asp-Gly-Glu, and salts thereof. The liquid supernatant contains at least one substance selected from the group consisting of indole-3-lactic acid, alpha-Asp-Phe, Val-Arg, Asp-Gly-Glu.

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.

This invention discloses a plant essential oil spray with anti-anxiety and antidepressant effects and its preparation process, available in daytime and nighttime versions. The plant essential oil mixture is prepared by coupled flash extraction with anhydrous ethanol and 1-octyl-3-methylimidazolium bromide, followed by microfiltration-nanofiltration and vacuum distillation. The excipients and essential oils are then mixed and bottled into spray bottles equipped with an automatic spraying device to obtain the daytime and nighttime plant essential oil sprays. The daytime version stimulates the autonomic nervous system, reduces mental fatigue, improves cognitive mood, and exerts an anti-anxiety effect during the day; the nighttime version regulates neurotransmitter levels, significantly calms and soothes the mind, and adapts to the differences in human mood and nervous state between day and night. This invention features high extraction efficiency, stable essential oil quality, and the product possesses both anti-anxiety and antidepressant effects. It is convenient to use, highly safe, and suitable for daily mood regulation, psychological stress relief, and intervention for anxiety and depression tendencies.

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.

To find out which curcumin formulation is effective for varius symptoms caused by imbalance of autonomic nerve among existing various curcumin formulations.SOLUTION: An autonomic nerve balance regulator or a food composition for regulating autonomic nerve balance includes, as an active ingredient, an amorphous curcumin-containing composition that contains an admixture including (a) curcumin or turmeric pigment containing an amorphous matter, and a cellulose derivative.SELECTED DRAWING: None

The invention discloses a method for post ablation treatment of a subject diagnosed with atrial arrhythmia, including: diagnosing a subject with atrial arrhythmia; performing an ablation procedure in a heart of the subject following the diagnosing; delivering a stimulation treatment following the ablation, where the stimulation is delivered with parameter values suitable for affecting occurrence of atrial arrhythmia and / or at least one symptom thereof in the subject following the ablation.

The invention relates to the technical field of physiological monitoring, in particular to a mental state real-time feedback system based on intelligent wearable equipment, which comprises a sequence construction module, a weight analysis module, a weight correction module, an index generation module and a hierarchical judgment module. According to the method, the multi-dimensional breathing fluctuation sequence containing the amplitude difference of the inspiration section, the duration of the expiration section and the change of the breathing rate is constructed, the multi-dimensional breathing fluctuation sequence and the heart beat interval sequence are mapped into the same multi-dimensional space, the Euclidean distance between the multi-dimensional breathing fluctuation sequence and the heart beat interval sequence is calculated to serve as the dynamic weighting coefficient, and the coupling strength between the cardiopulmonary systems can be quantified; therefore, the adjustment state of the autonomic nervous system is disclosed more deeply, state misjudgment possibly generated due to the fact that breathing activities cannot be associated when heart rate changes are analyzed in an isolated mode is avoided, meanwhile, the system can actively detect electrocardiosignal baseline drift and breathing waveform abnormal fluctuation, and the weighting coefficients are screened and corrected based on the interference degree.