715 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.

Catheter apparatuses, systems, and methods for achieving renal neuromodulation by intravascular access are disclosed herein. One aspect of the present technology, for example, is directed to a treatment device having a multi-electrode array configured to be delivered to a renal blood vessel. The array is selectively transformable between a delivery or low-profile state (e.g., a generally straight shape) and a deployed state (e.g., a radially expanded, generally helical shape). The multi-electrode array is sized and shaped so that the electrodes or energy delivery elements contact an interior wall of the renal blood vessel when the array is in the deployed (e.g., helical) state. The electrodes or energy delivery elements are configured for direct and / or indirect application of thermal and / or electrical energy to heat or otherwise electrically modulate neural fibers that contribute to renal function or of vascular structures that feed or perfuse the neural fibers.

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 is provided herein. The system can include a cuff electrode, an electronics package, which can be part of a neuromodulation device; an external controller; a sensor; and a computing device. The neuromodulation device can include an antenna including an upper and a lower coil electrically connected to each other in parallel. The computing device can execute a closed-loop algorithm based on physiological sensed data relating to sleep.

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).

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 peroneal, femoral, saphenous and / or tibial nerves. The stimulation may include burst stimulation, and involve receiving an input relating to autonomic nervous system activity of the patient.

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.

A closed-loop neuromodulation system, including an electrode array that is implantable to a brain of a subject, analog front-end device (AFD) for selectively selecting and reading a plurality of channels from electrode array, a finite impulse response (FIR) filter for selectively filtering signals from the AFD, a feature extraction engine (FEE) operatively connected to the FIR filter, configured to selectively extract features from signals provided by the FIR filter, a tree-structured hierarchical neural network classifier for detecting disease symptoms, and a multi-channel stimulator having high-voltage (HV) drivers operatively connectable to the electrode array.

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.

According to the precise diagnosis and treatment integrated platform and method based on the coupling model, the cavitation effect is predicted through numerical simulation, negative feedback adjustment is conducted on microbubble mediated ultrasonic treatment, and precise control over the microbubble mediated ultrasonic treatment is achieved. Acoustic parameters are adjusted in real time, it can be ensured that treatment focuses on a lesion area, damage to surrounding healthy tissue is reduced, and therefore the accuracy and safety of treatment are improved. The platform integrates cavitation detection and an acoustic feedback mechanism, the microbubble cavitation effect can be monitored in real time, and treatment parameters can be automatically adjusted. Negative feedback closed-loop control can ensure a stable cavitation state, tissue damage caused by excessive cavitation is effectively avoided, and the stability and reliability of treatment are improved. The platform simplifies the operation process of controlling acoustic parameters. A doctor can complete the whole process from treatment to monitoring on the same operation interface through the integrated platform, and convenience and efficiency of clinical operation are improved. The platform is not only suitable for tumor treatment, ablation and drug delivery, but also can be applied to multiple treatment fields such as vascular diseases and neuromodulation, and has wide clinical application prospects and market potential.

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 relates to the technical field of neuromodulation and rehabilitation treatment, and discloses an intelligent magnetic field neuromodulation rehabilitation system, which comprises a signal acquisition and feature extraction module for acquiring brain signals of a patient and extracting multi-scale variables including microscopic neuron membrane potential, mesoscopic brain region synchronism and macroscopic cognitive state; the magnetic field adjusting module is used for generating and outputting magnetic field stimulation signals according to the optimization result, and the magnetic field stimulation signals comprise frequency, intensity and waveform parameters of a magnetic field; the dynamic optimization module is used for calculating an optimal path of the magnetic field stimulation signal based on the input multi-scale variable and the constraint condition; and the closed-loop feedback control module is used for receiving the real-time brain signal to update the system state and adjusting the parameters of the magnetic field stimulation signal based on feedback. Through multi-scale modeling, real-time feedback regulation and control and man-machine interaction technologies, precise regulation and control, efficient adaptability and visual clinical operation effects of the nervous system are achieved.

An example of a system may include a processor and a memory device comprising instructions, which when executed by the processor, cause the processor to: access a patient metric of a subject; use the patient metric as an input to a machine learning algorithm, the machine learning algorithm to search a plurality of neuromodulation parameter sets and to identify a candidate neuromodulation parameter set of the plurality of neuromodulation parameter sets, the candidate neuromodulation parameter set designed to produce a non-regular waveform that varies over a time domain and a space domain; and program a neuromodulator using the candidate neuromodulation parameter set to stimulate the subject.

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.

The invention discloses a group brain research equipment synchronization method and device, equipment and a storage medium. According to the group brain research equipment synchronization method, through an accurate timestamp insertion and synchronization mechanism, accurate synchronization, including time synchronization and command and data receiving synchronization, between a plurality of slave machines and the master equipment can be realized, and time alignment of the data is ensured. The invention relates to a nerve regulation technology.

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.

Systems and methods for reliably returning a neuromodulation system to a predetermined position relative to a user's head is disclosed. The system includes a neuromodulation device and a stimulation control computing environment. The stimulation control computing environment can be configured with data processing functions to focus ultrasound emission to a target brain region. The system identifies an initial position of one or more ultrasound-emitting elements with respect to the head of a user, uses brain images to identify the target brain region, and performs acoustic simulations to focus ultrasound emissions from the initial position to the target brain region. The distance between an inner surface of the device and a user's head can be measured, and one or more spacing elements can be placed on the inner surfaces based on the measured distances, which enables the reliable return of the neuromodulation device to the initial position with minimal displacement.

Systems and methods for reliably returning a neuromodulation system to a predetermined position relative to a user's head is disclosed. The system includes a neuromodulation device and a stimulation control computing environment. The stimulation control computing environment can be configured with data processing functions to focus ultrasound emission to a target brain region. The system identifies an initial position of one or more ultrasound-emitting elements with respect to the head of a user, uses brain images to identify the target brain region, and performs acoustic simulations to focus ultrasound emissions from the initial position to the target brain region. The distance between an inner surface of the device and a user's head can be measured, and one or more spacing elements can be placed on the inner surfaces based on the measured distances, which enables the reliable return of the neuromodulation device to the initial position with minimal displacement.

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.

A system for personalized neuromodulation includes a neuroimaging recording device including sensors for detecting neural activity in a patient. An optimization module determines a personalized neuromodulation treatment protocol for the patient. The optimization module includes a neuromodulation target optimization module for determining neural targets in the patient for the personalized neuromodulation treatment protocol. The optimization module includes a neuromodulation parameters optimization module for determining optimized neural stimulation parameters for the personalized neuromodulation treatment protocol. A personalized neural stimulation device receives the neural targets from the neuromodulation target optimization module and receives the optimized neural stimulation parameters from the neuromodulation parameters optimization module. The personalized neural stimulation device delivers the personalized neuromodulation treatment protocol to the patient. The personalized neural stimulation device includes at least one neural stimulation device for stimulating the targets in the patient. A neuroimaging navigation system determines a placement of the neural stimulation device(s) about the patient.

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.

The invention discloses a closed-loop transcranial electrical stimulation method, a closed-loop transcranial electrical stimulation device, closed-loop transcranial electrical stimulation equipment and a storage medium. The closed-loop transcranial electrical stimulation method comprises the steps of electroencephalogram signal acquisition, autoregression model construction and prediction, phase extraction, phase difference calculation and adjustment, AM signal generation and TIS stimulation signal generation. According to the method, future electroencephalogram signals can be predicted by using the autoregression model, the phase extraction technology is combined, the electrical stimulation signals are ensured to be synchronous with the specific phase of the target electroencephalogram activity, nerve regulation is performed on the generated stimulation signals in a TIS mode, overlapping of stimulation signal interference frequency bands and electroencephalogram signal frequency spectrums is effectively avoided, and the accuracy of the electroencephalogram activity is improved. Therefore, the space-time precision and the individualized regulation capability of nerve regulation are greatly improved. In addition, the TIS signal can noninvasively adjust the deep brain area, and a better brain area stimulation effect is achieved. The invention relates to a nerve regulation technology.

Disclosed are devices, systems, and methods for ultrasonically stimulating brain tissue using operating parameters associated with a. target region of a brain. The operating parameters can be determined, for example, by combined ultrasonic stimulation and photometry devices and methods. The operating parameters can include pulse repetition frequency, temporal compression, and intensity. Using selected operating parameters, ultrasound stimulation of the target region of the brain can excite or inhibit brain cell activity.

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.