593 results about "Neuromodulation" patented technology

The patent application describes an adaptable neuromodulation device for transcranial electrical brain stimulation. The system can generate complex poly-modulated waveforms by combining multiple pulse parameters in a randomized manner across dimensions like amplitude, frequency, phase, timing, and polarity. It leverages both digital and analog modulation techniques for waveform versatility. The device features pathway optimization algorithms that tune stimulation using neural feedback data to target specific brain region shapes with greater precision. It also enables closed-loop operation for responsiveness to physiological changes. The application details the mathematical and computational foundations, spanning graph theory to generate digital twins. It highlights applications from cognitive enhancement to seizure control. Overall, the innovation promises versatility and precision in non-invasive neuromodulation through adaptable, optimized waveforms grounded in sophisticated modeling.

A system for administering transcranial neuromodulation (TNM) treatment with a medical device capable of delivering a TNM treatment to a patient including an electronic computing device has a processor, computer-readable memory, and a power supply, in communication with the TNM device. A patient interface is in communication with the electronic computing device and the TNM device. The electronic computing device is configured to: receive an initial TNM treatment protocol; communicate same to the TNM device to enable initial TNM treatment; receive patient input through the patient interface; receive an updated TNM treatment protocol based on patient input; and communicate updated TNM treatment protocol to the TNM device to enable updated TNM treatment of the patient.

The invention provides a closed-loop nerve regulation method and device, a medium and a program product, and relates to the technical field of nerve regulation. The method comprises the steps that an electroencephalogram collection module collects electroencephalogram signals in real time and provides real-time feedback data for nerve regulation and control; the magnetic resonance imaging module provides high-precision brain structure and function positioning information; the three different stimulation modules (transcranial alternating current stimulation, low-field magnetic field stimulation and transcranial magnetic stimulation) can stimulate brain regions with different depths and ranges; the multi-mode navigation module carries out accurate positioning based on the magnetic resonance image; the electroencephalogram detection module analyzes the collected signals; and the central control module coordinates the work of each module. According to the multi-module cooperative working mode, accurate stimulation of different areas and different depths of the brain is achieved, meanwhile, the stimulation effect is ensured through real-time monitoring, and therefore the accuracy and effectiveness of nerve regulation and control are improved.

A neuromodulation system including at least one input module for inputting a planned neuromodulation event or a series of neuromodulation events and at least one analyzing module for analyzing a neuromodulation event or a series of neuromodulation events.The analyzing module and the input module may be connected such that the input module is configured to forward the planned neuromodulation event or a series of neuromodulation events to the analyzing module and the analyzing module is configured to analyze the planned neuromodulation event or a series of neuromodulation events regarding one or more possible neuromodulation conflict(s).

A method for treating nerves in a nasal cavity starts with identifying a patient having a condition occurring outside the nasal cavity. The method then involves activating a console attached to a radiofrequency stylus, advancing a distal tip of the radiofrequency stylus into a nostril of the patient, contacting nasal mucosa lining the nasal cavity with a treatment surface of the distal tip, and delivering radiofrequency energy from one set of bipolar electrodes on the treatment surface of the distal tip to a second set of bipolar electrodes on the treatment surface, to treat at least one nerve underlying the nasal mucosa. Treating the nerve (or nerves) involves modulating activity of the nerve to ameliorate the condition occurring outside the nasal cavity.

Obstructive sleep apnea from blockage of the upper airway can result in significant health issues. Described herein is an intelligent personalized closed loop neuromodulation system and methods to prevent backwards movement of the genioglossus muscle through stimulation of certain branches of the hypoglossal nerve and muscle motor points, by using muscle feedback from electromyogram sensors to provide optimal stimulus. Alternative embodiments to treat neuropathic pain and urinary dysfunction are enclosed.

Methods and apparatuses are described for modulating multiple integrated neural networks to alter composite sensory processes, such as audition or hearing. These methods and apparatuses may be used for therapeutic and non-therapeutic uses, including enhancing entertainment and communication, by providing a cranio-cervical tuning apparatus worn in or around the outer ear or auricle. These methods and apparatuses may include functional neurosensory bias for neurosensory scrambling neuromodulation to influence composite or multi-modal sensory processes.

The invention provides an artificial intelligence spinal nerve regulation and control system and method based on a multi-modal physiology-nerve-experience closed loop, and relates to the technical field of medical instruments, the system comprises an implantable stimulation and sensing subsystem, a body surface and wearable sensing subsystem, a communication and time synchronization subsystem and a control processing unit, the implantable stimulation and sensing subsystem, the body surface / wearable sensing subsystem and the control processing unit are in communication connection in pairs through the communication and time synchronization subsystem. According to the method, the fundamental limitation that in the prior art, only dosage is maintained, and brain and subjective experience is ignored is broken through, and more stable, more efficient and more personalized accurate pain management is realized through multi-modal fusion and hierarchical cooperative control.

Systems and methods for applying therapeutic ultrasound to the brain to compensate for attenuation and dephasing of ultrasound by each individual's head. The compensation is based on relative ultrasound through-transmit measurements, which are performed using a set of ultrasonic emitters over one side of the head and a set of receivers on the other side. The measurements are performed with the head absent and present. Based on the difference between these measurements, the set of ultrasound waves is adjusted to compensate for attenuations and dephasing caused by the ultrasound wave passing into the head through the scalp and skull. The adjusted set of ultrasound waves provides intended, deterministic ultrasound intensity at the target location. The deterministic delivery enables safe and effective ultrasonic neuromodulation, local drug release from nanoparticle carriers, and microbubble-based disruption of blood-brain barrier for the delivery of drugs, genes, and stem cells across the blood-brain barrier.

In some embodiments, systems and methods can include a wearable device with an electrically conductive skin interface that excites the underlying nerves from a transcutaneous surface stimulator. The device may be sized for a range of user sizes with stimulation electrodes positioned to target the appropriate nerves, such as the saphenous and / or posterior tibial nerves. The therapy may be adjusted based on leg restlessness or movement.

The invention belongs to the field of big data, and provides a wearable nerve regulation and control method and system based on cloud AI control, and the method comprises the steps: collecting user data through a wearable nerve regulation and control device worn on the limb part of a user, the user data being physiological data and / or motion data; uploading the user data to a cloud server, wherein the cloud server is provided with an artificial intelligence model; the artificial intelligence model receives the user data, and generates personalized nerve electrical stimulation parameters in combination with pre-stored user historical treatment data and / or medical history data; the cloud server issues the personalized nerve electrical stimulation parameters to the wearable nerve regulation and control device, and the wearable nerve regulation and control device executes transcutaneous nerve electrical stimulation operation based on the personalized nerve electrical stimulation parameters.

Systems and methods for safety assessment before and during a transcranial ultrasound (TUS) procedure are described. A neuronavigation system is used to determine the probe's position and orientation. The probe's location and the subject's head MRI data are used to simulate the acoustic field within the subject's head. The acoustic field is overlaid on the MRI data and displayed to a clinician for evaluation. The phases of the transmit voltages are adjusted to optimize the location of the peak of the acoustic field to match the targets in the subject's brain. Before and during TUS, the spatial distribution of tissue temperature, MI, TIC, and ISPTA are computed and displayed to the clinician. Acoustic field changes due to the subject's movement are detected, and the TUS operation is terminated if the stimulated acoustic field becomes off-target. Monitoring circuits shut down the neuromodulation if parameters are out-of-range.

The invention provides a closed-loop nerve regulation and control system and method based on electroencephalogram detection. The defects that a traditional open-loop method lags in stimulation, equipment is heavy and the like are overcome. The system integrates an electroencephalogram acquisition module, an electroencephalogram analysis module, a remote program control module and a stimulation output module to form a closed-loop link. Through 32-channel 1kHz signal acquisition and 1-100Hz filtering pretreatment, pathological features are extracted in real time by using a deep convolutional neural network, stimulation parameters are modified through a remote program control module, and multi-channel collaborative stimulation and safe electrical stimulation are realized in combination with a time division multiplexing architecture and bipolar optocoupler isolation output. The method has the advantages that the pathological feature recognition accuracy of the deep convolutional neural network is greater than or equal to 95%, and the dynamic response delay is less than 50ms; a time division multiplexing hardware architecture is designed, multi-channel collaborative stimulation is achieved through a single DAC, and the size is reduced by 30%; + / -5V bipolar output is realized by using an optocoupler isolated H bridge driver, and the IEC 60601 medical safety standard is met; wireless regulation and control of stimulation parameters are supported, the long-term implantation requirement is met, and the risk of a secondary operation is reduced.

The invention relates to the field of virtual reality, in particular to an adaptive virtual reality cognitive training method and system. The method comprises the steps of obtaining a user individual information set and a real-time multi-modal physiological data stream, performing real environment three-dimensional reconstruction and relative and friend face modeling based on the user individual information set, and generating an individual virtual training scene; based on the real-time multi-modal physiological data flow and the individualized virtual training scene, nerve-behavior feature extraction and digital twinning dynamic modeling are carried out, and a user cognitive state evaluation information set is generated; based on the user cognitive state evaluation information set, training task parameter real-time optimization and virtual scene element dynamic adjustment are carried out through an adaptive strategy, and a cognitive enhancement intervention instruction set is generated; and based on the cognitive enhancement intervention instruction set, performing neural regulation intervention and training data closed-loop feedback, and generating and outputting an individualized cognitive training report. According to the method and the device, accurate self-adaptive intervention is realized in a virtual reality cognitive training process.

The invention provides a method for generating a personalized nerve regulation and control stimulation scheme, and aims to generate a precise nerve regulation and control stimulation scheme for an individual through an electroencephalogram evaluation result. The method comprises the following steps: firstly, constructing a scheme library containing a plurality of transcranial electrical stimulation basic schemes; secondly, collecting resting-state electroencephalogram signals of a user, extracting electroencephalogram characteristic indexes related to emotion, cognition and sleep, and comparing the electroencephalogram characteristic indexes with a norm database to judge cognition risks; generating a primary stimulation scheme according to an evaluation result, and if a cognitive risk exists, further detecting that a feature index is abnormal and generating a targeted correction scheme; all the schemes are subjected to priority ranking, and the sequence is determined according to the abnormal severity degree and the clinical weight; and finally, outputting a personalized treatment scheme sequence of one week. According to the method, the accuracy and effectiveness of treatment are improved, high individuation, systematicness, practicability and dynamic optimization potential are achieved, and powerful support is provided for nerve regulation and control treatment.

The invention discloses a wearable device and a data analysis system for brain surgery postoperative patient rehabilitation monitoring, and relates to the technical field of medical health monitoring, the system comprises a federated learning module, a digital twinning module, a rehabilitation evaluation module, a universe interaction module and a feedback control module, and the federated learning module guarantees data privacy and realizes multi-center model training; the digital twinning module constructs a virtual mirror image of a patient and simulates a rehabilitation scheme effect; the rehabilitation evaluation module quantitatively evaluates the rehabilitation condition; the meta-universe interaction module creates a virtual community and supports brain-controlled interaction training; the feedback control module dynamically adjusts a rehabilitation scheme, the wearable device comprises an ultra-flexible sensing layer, a quantum signal acquisition layer, a nerve regulation and control layer, a data processing layer and a wireless communication module, high-sensitivity data acquisition, transmission and analysis are achieved, the accuracy, personalization and interactivity of brain surgery postoperative rehabilitation monitoring are improved, and the brain surgery postoperative rehabilitation monitoring system is suitable for being popularized and applied. And intelligent development of rehabilitation treatment is promoted.

A neuromodulation lead that is biased towards a substantially omega shape when fully deployed is provided. The neuromodulation lead includes a left set of electrodes disposed on a left portion of the lead body of the neuromodulation lead and a right set of electrodes disposed on a right portion of the lead body of the neuromodulation lead. The neuromodulation lead can be positioned in the plane between the genioglossus muscle and the geniohyoid muscle.

An artificial intelligence (AI)-based system and method for controlling operations of neuromodulation devices based on physiological parameters of users is disclosed. The AI-based system comprises one or more physiological parameters sensing endpoint devices and one or more server devices. The one or more physiological parameters sensing endpoint devices are configured to determine the one or more physiological parameters of each user. The one or more server devices comprises a data-obtaining subsystem, a data-processing subsystem, an operational parameter generation subsystem, a data recommendation subsystem, and a plurality of modules. The AI-based system is configured to process the obtained at least one of: the one or more physiological parameters and user-centric data to generate one or more user-centric operational parameters for controlling the operations of the one or more neuromodulation devices. The generation of one or more user-centric operational parameters optimizes neuromodulation therapy based on the user's unique physiologic parameters.

Systems and methods for collecting evoked responses (ERs), and using the same to guide neuromodulation are disclosed. An exemplary system includes an electrostimulator to provide electrostimulation to a neural target, a sensing circuit to sense ERs, and a controller circuit to collect first ERs sensed from a group of sensing electrodes in response to electrostimulation through first one or more stimulating electrodes. The controller circuit performs a quality check of the first ERs, determine or update an ER sampling routine including timings or an order of performing multiple stimulation and ER collection tests, and sequentially execute the multiple stimulation and ER collection tests, and collect second ERs according to the determined or updated ER sampling routine. When the second ERs satisfy an acceptance criterion, a recommendation can be provided to a user to reposition the lead or to set or adjust a stimulation setting.

The invention relates to the technical field of medical data processing and nerve regulation and control, in particular to a method for synchronously activating post-stroke neuroplasticity through photoacoustic, which comprises the following steps of: 1, constructing a stroke specific brain region target map: fusing brain structure connection data and functional network data of a patient, generating a three-dimensional target map containing the high-metabolism semi-dark band coordinate set and the cross-hemisphere compensatory connection intersection; 2, calculating a time-space synchronization focusing parameter; 3, synchronous stimulation and dynamic regulation are executed, wherein the ultrasonic transducer and the laser source are controlled to emit time-space synchronous sound waves and light pulses; monitoring the blood perfusion variable quantity and the neurotransmitter concentration ratio of the target brain area in real time; when the blood perfusion variable quantity does not reach the expectation or the transmitter ratio is unbalanced, the stimulation intensity is dynamically adjusted, and the focusing coordinate is translated in the direction away from the infarction area. Through photoacoustic stimulation of time-space synchronization, the difference between the propagation speeds of sound waves and light waves is overcome, and accurate collaboration of neural restoration is achieved.

The invention provides an acoustoelectric multi-mode nerve regulation and control method and system for improving the language reading ability, and the method comprises the steps: obtaining brain function activity baseline data based on a positioned abnormal link of the language reading ability of a pupil in combination with resting state and task state electroencephalograms; based on the abnormal links and the brain function activity baseline data, determining a TES target spot and a tFUS target region; starting a TES module based on the TES target spot and starting a tFUS module based on the tFUS target region; a tUS module is started to perform focused ultrasound stimulation intervention on the TES target spot and the tFUS target region and prompt the pupil to start a training task, and real-time electroencephalogram signals of the pupil in the intervention process and behavioral performance data of the pupil in the training task process are obtained; based on the real-time electroencephalogram signals and the behavioral performance data, the stimulation intensity of the tUS module on the TES target spot and the tFUS target region is adjusted. According to the invention, the synergistic interaction capability and the intervention accuracy are improved.

A visual synthesis-based virtual or augmented reality pain treatment apparatus and device. In the apparatus, an interaction control unit generates a pain stimulation scheme matching a current patient to be treated and sends the pain stimulation scheme to a data processing unit. The data processing unit, on the basis of the received pain stimulation scheme, generates a virtual reality environment and a virtual stimulation source visible to the patient in the virtual reality environment. A display unit displays the virtual reality environment and the virtual stimulation source to said patient. The data processing unit, on the basis of a pain category to be induced, determines a stimulation target of a limb and parameters of the virtual stimulation source. The display unit drives the virtual stimulation source to implement a visual approaching motion to the stimulation target of the patient so as to achieve non-real stimulation. The somatosensory system of the patient is activated by means of a vision-nerve coupling mechanism to induce the patient to feel a tactile sensation, a thermal sensation, and / or a cold sensation at the stimulation target and in a nearby area thereof, thereby achieving neuromodulation therapy of a pain pathway.

A closed-loop neuromodulation system includes at least one implantable neurostimulator configured to deliver electrical stimulation to a target nerve innervating a muscle; at least one biosignal sensor configured to detect a physiological signal associated with the target muscle, wherein the physiological signal may include an electromyographic (EMG) or electroneurographic (ENG) signal; and a controller operatively coupled to the neurostimulator and the sensor. The controller is configured to receive the physiological signal from the sensor, determine whether the signal satisfies a predefined condition indicative of weakness, strength, fatigue, muscle underactivity, or overstimulation, and, in response to detecting that the condition is satisfied, automatically adjust one or more stimulation parameters selected from amplitude, frequency, pulse width, train duration, or train count.

Methods, devices and systems are described for decreasing the activity of the sympathetic nervous innervation to and from the lungs and the vessels supplying the lungs to treat pulmonary medical conditions such as asthma. In one embodiment, the method may involve advancing an intravascular instrument to a target location in a blood vessel within the intercostal vasculature to ablate either or both the sympathetic afferent and efferent nerves lying within the paravertebral gutter including the visceral fibers that travel to the cardiothoracic cavity and abdominopelvic viscera and the T1 to T4 / 5 sympathetic chain. In another embodiment, an intravascular instrument may be advanced to the bronchial vessels to ablate either or both the sympathetic afferent and efferent nerves in and around the posterior pulmonary plexus. In one embodiment the ablative agent is a neurolytic agent delivered in a gel. This approach may be utilized to treat other cardiac and pulmonary diseases.

The invention relates to the field of closed-loop nerve regulation and function reconstruction, and discloses a closed-loop brain-spinal cord interface upper limb grasping function reconstruction method and system based on multi-modal biofeedback. According to the method, at least three kinds of feedback information such as joint angles, grabbing force and electromyographic signals are synchronously collected, and a comprehensive actual motion state is generated through weighted fusion; according to an error vector between an expected state and an actual state, a hierarchical adjustment strategy is creatively adopted to carry out differentiation and adaptive adjustment on parameters such as stimulation current intensity, frequency and pulse width; and fatigue indexes are calculated based on myoelectricity frequency domain characteristics (such as median frequency and average power frequency), and prospective intervention is carried out by superimposing a fatigue compensation strategy. The method effectively solves the problems that an existing system is low in control precision, insufficient in single feedback dimension information and insufficient in continuous motion ability, and the precision, adaptability and long-term stability of motion control are remarkably improved.

The invention relates to the technical field of nerve regulation and control, and discloses a nerve regulation and control method based on dynamic frequency band analysis, which is used for improving the accuracy of epileptic seizure judgment. The neural regulation and control method based on dynamic frequency band analysis comprises the following steps: acquiring a local field potential signal of a target brain region in a preset time period; performing dynamic frequency band analysis on the local field potential signal to obtain a pathological wave frequency band, a high-frequency oscillation band, a harmonic coupling band and a suppression wave band; calculating the energy ratio and the cross-band phase coupling strength of each feature sub-band, and generating a multi-dimensional feature vector; the epileptic seizure probability is calculated according to the multi-dimensional feature vector; and when the epileptic seizure probability is greater than a preset threshold value, selecting a corresponding stimulation parameter group according to the dominant characteristic sub-band type, and outputting an electrical stimulation pulse with a frequency band matching characteristic.

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.

Methods, devices and systems are described for gel-based modulation of neural tissue, including prevention of nerve regeneration and neuroma formation. The gel can be delivered to selected target locations within or proximate nerves, including interfascicularly and intrafascicularly. Gel delivery associated with an operative procedure for the treatment of pain and other indications is also disclosed.

The invention discloses an oral sleep-aiding composition containing ergothioneine and a preparation method of the oral sleep-aiding composition, and relates to the technical field of sleep-aiding compositions. The oral sleep-aiding composition containing the ergothioneine is prepared from the following components in parts by mass: 0.01 to 3 parts of the ergothioneine, 0.1 to 10 parts of melatonin, 10 to 40 parts of glycine, 2 to 15 parts of magnesium salt, 30 to 70 parts of a diluent, 1 to 10 parts of an adhesive, 0.5 to 5 parts of a lubricant, 2 to 10 parts of a disintegrating agent and 0.1 to 0.5 part of an antioxidant preservative. Through the synergistic compatibility of ergothioneine, melatonin, glycine and magnesium salt, a multi-dimensional action network of oxidation resistance, neuromodulation and receptor inhibition is formed, the limitation of single-component sleep aiding is broken through, and the sleeping efficiency and the sleep maintenance capability are remarkably improved. Based on the scientific proportion of endogenous substances (ergothioneine and glycine), the metabolic burden of traditional sleep-aiding components is avoided, and in combination with the design of a sustained-release preparation, the dose-dependent side effects are reduced, and the safety of long-term taking is improved.

The invention discloses an individualized precise brain regulation and control method and device based on dynamic brain network traceability, and relates to the technical field of electroencephalogram regulation and control. The method comprises the steps that resting state electroencephalogram signals of each lead of two resting state tasks are obtained; performing traceability analysis on the resting-state electroencephalogram signals of each lead of the two resting-state tasks, and calculating weighted phase lag indexes of lead pairs according to the traced resting-state data of the two leads in the pairwise lead pairs; constructing dynamic brain networks according to the weighted phase lag indexes of all lead pairs, performing modeling according to the first dynamic brain network and the second dynamic brain network, calculating an abnormal index of each brain region node, performing target stimulation based on the abnormal index of each brain region node by using a multi-channel stimulation controller, and performing target stimulation based on the abnormal index of each brain region node. According to the invention, the problems of inaccurate target spot positioning and single target spot in the existing cranial nerve regulation and control technology are solved.