119 results about "Autonomic nerve" patented technology

The invention provides a transcranial stimulation magnetic therapy closed-loop control method and system, and the method comprises the steps: determining a multi-modal physiological signal of a user, the multi-modal physiological signal at least comprising an electroencephalogram signal, an autonomic nerve physiological signal and a subjective feedback signal; constructing an individual dynamic baseline spectrum based on user multi-state data collected before treatment; the method comprises the following steps: preprocessing a multi-modal physiological signal collected in a treatment process, and extracting a real-time feature vector; calculating a comprehensive deviation index of the real-time feature vector and the individual dynamic baseline spectrum, and determining a deviation type based on the comprehensive deviation index; the adjustment amount of transcranial magnetic stimulation parameters is dynamically calculated according to the deviation type, the individual response characteristics and the historical treatment data, stimulation operation is conducted according to the adjustment amount of the transcranial magnetic stimulation parameters, and the transcranial magnetic stimulation parameters at least comprise the stimulation frequency, the intensity, the pulse width and the stimulation duration. Parameters of transcranial magnetic stimulation are adaptively changed according to changes of neuron oscillation of a patient in the treatment process.

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 convolutional neural network information processing method for heart function dynamic monitoring, and belongs to the technical field of medical detection and monitoring. Comprising the following steps that multi-mode electrocardiosignal data and current physiological state parameters of a patient are obtained, and initial configuration of the intelligent heart function monitoring device is obtained; determining the signal quality grade of each signal channel, and generating a dynamic filtering adjustment strategy of the multi-modal signal acquisition module; configuring a feature extraction strategy of a double-branch convolutional neural network module based on the signal features of the target analysis signal segment and the physiological state parameters; performing multi-scale time sequence feature extraction and frequency domain autonomic nerve regulation feature extraction on the target analysis signal segment by using a double-branch convolutional neural network module according to a feature extraction strategy; executing arrhythmia classification, heart rate variability parameter quantification, heart function evaluation grade and graded early warning tasks, and outputting multi-stage intelligent early warning information from normal monitoring, potential risk and abnormal early warning to an emergency state.

The invention discloses wearable equipment with body temperature measurement and body temperature early warning functions. The wearable equipment comprises a signal sensing and collecting module, a metabolism dynamic estimation module, a thermal dynamic state deduction module, an autonomic nerve stress analysis module, a multi-mode risk assessment module, a graded early warning and intervention execution module and a closed-loop optimization and self-adaptive calibration module. Compared with the prior art, the method has the following advantages and effects that through fusion of multi-modal physiological, environmental and behavior data and based on dynamic metabolism estimation, thermal dynamics deduction and autonomic nerve stress analysis, accurate and foresight evaluation and personalized grading early warning of the heatstroke risk of the user are achieved, and the early warning accuracy and intervention effectiveness are remarkably improved.

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 discloses an intelligent diopter training system and method based on a multi-modal physiological feedback and reinforcement learning algorithm. The intelligent diopter training system comprises a multi-modal physiological data acquisition module, a central processing PC, a user terminal and a cloud data platform. Visual behavior data, ciliary muscle state data and autonomic nerve reaction data of a user are collected in real time through a multi-modal physiological data collection module, multi-modal physiological data fusion and feature extraction are carried out, and a refraction state evaluation model is used for calculating a comprehensive score of a refraction state grade, visual fatigue and adjustment sensitivity of the current user. A personalized training parameter set of the next training period is dynamically decided and generated based on a reinforcement learning algorithm, and the user terminal presents visual training stimulation according to the current personalized training parameter set. The cloud data platform stores the data and generates a visual training effect trend chart, a diopter change prediction report and personalized training suggestions to complete training scheme personalization, training means intellectualization and feedback evaluation comprehensiveness.

The invention provides a nerve regulation and control system and method for a spinal cord ventral epidural region, and the system employs a microprocessor to generate multiple paths of pulse width modulation signals, and drives a voltage-controlled current source after amplitude adjustment. Stimulation current with adjustable frequency, pulse width and amplitude is output to act on a spinal cord ventral nerve structure. Real-time monitoring of stimulation current of each channel is realized through combination of voltage sampling and a single-pole multi-throw analog switch, feedback information of a body position, myoelectricity, pressure and other multi-mode sensors is fused, a closed-loop control mechanism is constructed, and dynamic adjustment and individualized optimization of electrical stimulation parameters are realized. The system has the advantages of being more accurate in electrical stimulation positioning, more sensitive in response, more intelligent in control and the like, and is suitable for intelligent rehabilitation intervention in scenes of spinal cord injury, cerebral palsy, neurological dysfunction and the like.

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.

The evaluation method of thermoregulatory function is characterized by comprising: a process of acquiring an autonomic nerve index of a subject; a process of acquiring a sweating index of the subject; and an evaluation process of evaluating a thermoregulatory function of the subject using the autonomic nerve index of the subject and the sweating index of the subject. Preferably, the autonomic nerve index comprises at least one of a heartbeat variation index and a pulse variation index, and the sweating index comprises at least one of a skin conductance and a sweating amount.

The invention relates to a method for preventing and monitoring blood pressure based on terahertz radar electrocardiogram heart rate variation parameters, and belongs to the field of terahertz radar signal processing. The method comprises the steps that a human thoracic cavity micro-motion signal is collected through a terahertz radar, an intermediate frequency signal is obtained through ADC sampling, distance dimension Fourier transform and phase unwrapping processing are carried out, and a target object is obtained; extracting a chest displacement signal containing heartbeat information; band-pass filtering is adopted to preliminarily separate respiration and heartbeat signals, and variation mode decomposition optimized by an ant colony algorithm is introduced to effectively suppress respiration harmonic interference; inputting the heartbeat signal into a multi-modal deep learning framework fusing a convolutional neural network, a long-short-term memory network and a multi-head attention mechanism to realize end-to-end high-precision reconstruction from a radar mechanical vibration signal to a standard electrocardio waveform; r peak detection is conducted on the reconstructed radar ECG signals, and time domain and frequency domain heart rate variability parameters are calculated and used for evaluating the autonomic nerve function state. The method has the effect of improving the monitoring comfort of special crowds.

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 application discloses a closed-loop dynamic modeling system for heart, blood vessels and brain, and relates to the field of physiological system modeling.The system comprises a signal processing module, a closed-loop dynamic modeling module, a personalized training module and a state analysis module; the signal processing module extracts a feature sequence from multi-modal physiological signals; the closed-loop dynamic modeling module constructs a dynamic skeleton with physical differential equations, and embeds a neural network subject to physical constraints in nonlinear regulation nodes of brain central control, autonomic nervous regulation, heart blood pumping and blood vessel transmission to generate a dynamic numerical trajectory of system state variables; the personalized training module firstly fixes the neural network on resting state data to determine physical model parameters, and then jointly optimizes the neural network and the physical model parameters based on data fitting terms and physiological constraint terms on load task data; and the state analysis module calculates brain-heart sympathetic drive gain, pressure reflex sensitivity and blood vessel hardening index to determine dominant factors of cardiovascular regulation function.

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.

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 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 application of CpG oligonucleotides in drugs for diabetic cardiac autonomic neuropathy: Experiments have confirmed that CpG oligonucleotide 1826 can reduce the activation of satellite glial cells in the stellate ganglion and the expression of inflammatory cytokines, inhibit the expression of purine 2Y12 receptors, and reduce lipid peroxidation damage to alleviate ferroptosis in stellate ganglion neurons, thereby improving cardiac autonomic nerve function. Examples of CpG oligonucleotide 1826 demonstrate that CPG-ODN with anti-inflammatory effects or with anti-damage protective effects on the sympathetic nervous system has preventive and therapeutic effects in diabetic cardiac autonomic neuropathy and sympathetic nerve injury-related diseases.

To provide an aromatherapy support method and support system that enables a therapist to fully fulfill his / her original role without placing a burden on the therapist. [Solution] The system includes the steps of: conducting an autonomic nervous system analysis on the client to determine whether the client belongs to a sympathetic dominant, parasympathetic dominant, or well-balanced type; determining the client's complaints; transmitting basic information including the determined client type and complaint information to a system server; selecting the most suitable essential oils in the system server based on search keywords created from the basic information imported; calculating the blend ratio of the selected essential oils; and displaying the calculated blend ratio information on the screen of the therapist terminal.

The present invention relates to compositions comprising 4-({(4-cyclopropylisoquinolin-3-yl)[4- (trifluoromethoxy)benzyl] amino }sulfonyl)benzoic acid (elismetrep; MT-8554), or a pharmaceutically acceptable salt thereof, for treating or preventing pain, particularly migraine or a trigeminal pain disease or condition such as medication overuse headache, cluster headache, general headache, trigeminal neuralgia, trigeminal neuropathy, trigeminal autonomic cephalalgia, orofacial pain, and dental pain.

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 invention relates to a flight load-based multi-mode pilot physical and psychological state evaluation method and system, and belongs to the field of aviation medicine training. Comprising the steps that multi-mode physiological signals of pilots in a resting state are collected and preprocessed, resting physical and psychological state physiological indexes are extracted, and an individual resting baseline value of each pilot is calculated based on the resting physical and psychological state physiological indexes; wherein the multi-modal physiological signals comprise electrocardio signals, respiratory waves, myoelectricity signals and electroencephalogram signals; the method comprises the following steps: collecting and preprocessing multi-modal physiological signals of a pilot after flight, and extracting physical and mental state physiological indexes after flight; based on the physical and mental state physiological indexes after flight and the individual resting baseline value, the multi-dimensional recovery degree after flight of the pilot is calculated; generating a pilot physical and psychological state evaluation result based on the multi-dimensional recovery degree; wherein the multi-dimensional recovery degree comprises at least one of a brain nerve state recovery degree, an autonomic nerve state recovery degree, a psychological stress and stress recovery degree, a cardiovascular system recovery degree and a muscle state recovery degree.

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.

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.

A method of interrupting sympathetic stimulation to the cardiovascular system of a patient in need thereof includes navigating a probe of a hand-held cryogenic therapy apparatus to a stellate ganglion or an autonomic tissue area peripheral to the stellate ganglion of the patient, the probe including a needle configured to produce a cooling zone for focused cryogenic therapy, aligning the needle with one or more desired nerves of the stellate ganglion or the autonomic tissue area peripheral to the stellate ganglion, and producing the cooling zone to provide cryogenic therapy to the desired nerves of the stellate ganglion or the autonomic tissue area peripheral to the stellate ganglion at a temperature sufficient to cause axonotmesis of the nerves.

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.

The utility model discloses a rehabilitation auxiliary blowing assembly which comprises a blowing pipe and further comprises a blowing assembly body arranged on the blowing pipe and used for supraventricular tachycardia treatment, the blowing assembly body comprises a blowing opening and a connecting pipe which are installed at the front end and the rear end of the blowing pipe in a communicated mode, and an installation pipe is fixedly arranged on the outer side of the blowing pipe in a communicated mode. A balloon is detachably mounted on the mounting pipe through a limiting assembly. According to the rehabilitation assisting air blowing assembly, in the process of supraventricular tachycardia treatment and rehabilitation through the air blowing assembly, chest pressure is increased through the air blowing process, blood circulation and autonomic nerve function states are affected, the effect of supraventricular tachycardia treatment and rehabilitation is further achieved, and in the whole treatment process, the recovery effect is improved, and the recovery rate of supraventricular tachycardia is increased. The treatment effect is ensured, and meanwhile, the treatment effect can be visually judged conveniently through deformation of the balloon and display of the pressure gauge.

The invention discloses a hepatic artery radiofrequency ablation method and ablation catheter. The ablation method comprises the steps that a target puncture point is positioned, and a radial artery puncture channel and an interventional ablation environment are established; guiding an ablation catheter to enter a target treatment point corresponding to the target artery branch; adjusting the end shape of the ablation section tube; the ablation catheter comprises an ablation section, a conveying section, a connecting section and a signal section. The catheter is inserted through a vascular intracavity path, penetrates into the hepatic artery or a near-end branch of the hepatic artery, targets autonomic nerves around the hepatic artery to carry out temperature control type radiofrequency ablation, and has the advantages of accurate positioning, safe control, uniformity of energy release and tissue adaptability; by adjusting the fitting posture of the spiral structure of the ablation section and adapting to the characteristic parameters such as the curvature direction, the tortuosity and the opening angle of the hepatic artery, it is ensured that the metal electrode can be effectively fitted with the tube wall to transmit radio frequency energy, meanwhile, the punching rate is reduced, liver parenchyma puncture injury is avoided, and meanwhile systemic intervention such as blood pressure regulation and metabolic function regulation is achieved.

A stimulation device includes a body containing at least one stimulation means adapted to be transcutaneously attached to the neck of a subject. The stimulation means is adapted to generate a stimulating signal during a stimulating state. The stimulation means is positioned to be in stimulating contact with the sternocleidomastoid muscle and the trunks of the lesser occipital nerve, greater auricular nerve, transverse cervical nerve or supraclavicular nerve with their autonomic fibers synchronously. The stimulation can be provided in the form an electrical, optical, vibrational, thermal, mechanical and / or magnetic stimulation. The stimulation device can be used bilaterally on the right and left sides of the subject's neck, working as a system in a synchronous or alternating manner.

The present invention provides a method for acquiring a value of an autonomic nerve index for evaluating a mental state of a subject, the method being characterized by comprising acquiring the value of the autonomic nerve index of the subject at a first point in time and a second point in time, the autonomic nerve index or an operation value thereof being an index representing the mental state of the subject, the sleep state of the object is different at the first time point and the second time point. Also provided are a method and the like for evaluating the mental state of a subject on the basis of the acquired value of the autonomic nerve index or the calculated value thereof.

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.