34 results about "Neurostimulation device" patented technology

A method of predictive analysis of one or more characteristics associated with multiple neurostimulators used by respective multiple users, the method comprising: processing at a first site first input data collected from a first plurality of neurostimulation devices and / or neurostimulation users, and generating first machine learning model data from the first input data, the first machine learning model data comprising first model parameters; processing at a second site second input data collected from a second plurality of neurostimulation devices and / or neurostimulation users, and generating second machine learning model data from the second input data, the second machine learning model data comprising second model parameters; processing the first model parameters and the second model parameters to generate third machine learning model data representative of at least one neurostimulation characteristic; and using the third machine learning model data to predict evolution of at least one neurostimulation characteristic.

Disclosed is a neurostimulation system and method. A control unit controls a stimulus source to deliver neural stimuli via selected electrodes to a neural pathway according to a stimulus intensity parameter. An external computing device in communication with the neurostimulation device comprises a display and processor. The processor initialises the stimulus intensity parameter, and renders on the display a stimulation control and a graphical element adjacent the stimulation control. Upon user activation of the stimulation control, the processor ramps a value of the stimulus intensity parameter, while instructing the control unit to cause delivery of stimuli according to the ramping value of the stimulus intensity parameter. Upon user deactivation of the stimulation control, the processor ceases ramping the value of the stimulus intensity parameter. The graphical element is configured to dynamically indicate the ramping value of the stimulus intensity parameter; and indicate a discomfort threshold for the selected electrodes.

A leadless neurostimulation device configured for implantation in a leg of a patient comprising a header with a first electrode and an elongated main body containing stimulation circuitry and a battery with a second electrode extending circumferentially around at least a portion of the main body. The electrode configuration proves greater volume of tissue activation with lower power requirements and improved battery efficiency.

1. Name of the product in this design: Walking Assistive Rehabilitation Device. 2. Purpose of this design: It is used in a walking rehabilitation device, which is a wearable functional neurostimulation instrument used for lower limb rehabilitation and recovery of muscles damaged by motor neurons. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. Other circumstances requiring explanation: The human lower limb model is a supporting element and is not part of the content for which protection is sought.

A leadless neurostimulation device configured for implantation in a leg of a patient comprising a header with a first electrode and an elongated main body containing stimulation circuitry and a battery with a second electrode extending circumferentially around at least a portion of the main body. The electrode configuration proves greater volume of tissue activation with lower power requirements and improved battery efficiency.

The present disclosure relates to a tinnitus suppression device, method, system and computer program. In some aspects, a tinnitus suppression device comprises a receiver module configured to receive sound signals, a processing module operably connected to a memory and to the receiver module, and a neurostimulation module operably connected to the processing module. In some aspects, the processing module and the neurostimulation module may be configured to determine a received sound signal that corresponds to a template stored in the memory, that is above a preconfigured threshold, preferably above a preconfigured threshold which is specific for the individual, or both. A multi-channel neurostimulation signal encoding the determined sound signal may be generated and applied to a neurostimulation device of the individual that may be configured to directly stimulate afferent sensory neurons of the central nervous system of the individual and thereby to elicit, for each channel of the neurostimulation signal, one or more non-auditory, preferably somatosensory, perceptions in a cortex area of the individual.

Systems and techniques are disclosed to evaluate a neurostimulation treatment provided from a neurostimulation device, based on freeform text analysis. In an example, a system or device to evaluate a neurostimulation treatment provided from a neurostimulation device is configured to perform operations that: obtain text content, originating from text or voice input of a human patient, which relates to a state of a human patient; identify a state of the human patient from natural language processing of the text content; obtain device data from the neurostimulation device; identify a state of the neurostimulation treatment of the human patient from the device data; associate the identified state of the human patient to the identified state of the neurostimulation treatment; and initiate an action for the neurostimulation treatment, based on the identified state of the human patient that is associated with the identified state of the neurostimulation treatment.

A system and method for automated neurostimulation programming uses machine learning to determine target stimulation or discard suboptimal parameters based on actual or anticipated clinical effects. The system includes processors to generate a database of previously acquired lead and / or brain images, tested stimulation settings and associated clinical effects. A region of interest surrounding at least one stimulation lead is identified. Stimulation settings linked to specific clinical effects, including beneficial or detrimental effects, are determined for the region of interest. A trained machine learning model identifies desirable, undesirable, target, or other stimulation parameter values for a new patient by classifying or regressing raw imaging data, from the region of interest. The model is trained to recommend settings that produce desired clinical effects. An output provides the target stimulation parameter values predicted to maximize therapeutic benefit and minimize side effects. This enables automated programming of neurostimulation devices through data-driven machine learning based on clinical outcomes.

The invention provides a multi-mode respiratory signal detection method and device and an implantable nerve stimulation device. The method comprises the following steps: extracting a multi-modal signal from a physiological signal of a target object; correspondingly generating a breathing waveform of the target object based on the multi-modal signal; and based on the availability of the multi-mode signal or the breathing waveform, adopting a corresponding breathing detection mode to identify the breathing characteristic of the target object from the breathing waveform. According to the method, on one hand, the breathing characteristics are analyzed in the preset breathing detection mode, and the accuracy of breathing monitoring can be improved; on the other hand, a respiration detection electrode does not need to be additionally added, and the applicability and the convenience are correspondingly improved.

A method of controlling operation of a neurostimulation device comprises receiving, by the neurostimulation device, an indication of a physiological search area of a subject for delivering electrical neurostimulation and a prioritized search list of neurostimulation parameters for neurostimulation therapy delivered to the search area; delivering the neurostimulation therapy to the search area and varying the neurostimulation parameters according to the parameter priority, wherein a highest priority parameter is varied first while lower priority parameters are held constant; determining the optimum value of the highest priority parameter; delivering neurostimulation to the search area using the determined optimum value of the highest priority parameter and varying one or more lower priority parameters according to the parameter priority; and determining optimum lower priority parameters for the neurostimulation.

The present technology is generally directed to delivery systems for injected neurostimulation devices, and associated systems and methods. In some embodiments, a delivery system includes a body having an at least partially hollow interior; an adjustable sheath defining a lumen, the adjustable sheath including (i) a first portion positioned within the interior of the body and (ii) a second portion extending beyond the interior; and an actuation mechanism operably coupled to the body and the adjustable sheath. The actuation mechanism can be operable to move the adjustable sheath to change a length of the second portion. A user can operate the delivery system to position an implantable device at or near a target location within a patient. In some instances, the user may use image-based navigation and / or stimulation-based navigation to identify the position of the delivery system and / or the implantable device relative to target location.

An external device configured to communicate with an implantable stimulator device implanted in a patient, comprising: control circuitry configured to: provide stimulation parameters for the patient to address a symptom of the patient, provide a schedule for the provision of scheduled boluses of stimulation for the patient, wherein each scheduled bolus comprises a first duration during which stimulation is applied to the patient in accordance with the stimulation parameters, wherein the scheduled boluses are separated by off times of a second duration when no stimulation is provided to the patient, receive at a first time an input at a graphical user interface of the external device to immediately provide an additional bolus of stimulation, and transmit instructions to cause the implantable stimulator device to provide at least the scheduled boluses to neural tissue of the patient according to the schedule.

The invention discloses a reference current calibration method for a nerve stimulation device. The reference current calibration method comprises the following steps: step 1, assuming a reference current value constant; 2, setting an output current, and generating voltage amplification through a 10-ohm load; step 3, calculating an actual reference current value by using an ADC function of the ENS001 chip; 4, changing the assumed reference current value constant into the actual reference current value calculated in the step 3; 5, repeating the steps 2-3, and calculating the actual reference current value obtained for the second time; 6, judging whether the difference between the actual reference current value obtained in the step 3 and the actual reference current value obtained for the second time in the step 5 is greater than 5%, and if the difference is greater than 5%, repeating the step 4 and the step 5; obtaining a first final reference current value until the difference is less than or equal to 5%; and step 7, the final reference current value is stored in the flash of the ENS001 chip. The reference current of the nerve stimulation device can be quickly and accurately determined, and the reference current is stored in a flash of a chip, so that the calibration precision and consistency of products are improved.

A balance prosthesis device for an individual including a sensor module configured to obtain a sensor signal indicative of a balance or equilibrium state of the individual, a processing module configured to determine at least one neurostimulation signal based at least in part on the obtained sensor signal, and a transmitter module configured to transmit the determined neurostimulation signal to a neurostimulation device of the individual. The neurostimulation signal is configured to elicit an artificial sensation in a specific sensory cortex area of the individual via directly stimulating afferent sensory axons of the central or peripheral nervous system of the individual targeting sensory neurons of the sensory cortex area not directly associated with vestibulocortical pathways of the individual. The elicited artificial sensation provides a balance indication to the individual in order to support, mimic, substitute or enhance the natural sense of balance of the individual.

The present invention is a neurostimulation treatment system, device, applicator, and methods of use to provide neurostimulation to a nerve. The device includes a wearable band that attaches to the patient's lower leg and ankle in a location proximate to the posterior tibial nerve. The wearable band includes a housing holding a microneedle electrode array which is extended to pierce the epidermis of the patient's ankle for a treatment session, and a control unit to power neurostimulation. Proper location of the wearable band proximate to the posterior tibial nerve may be assisted by use of a detachable positioning template. The invention includes methods for using the treatment system of the invention, and an applicator and a patient kit.

This invention provides a high-precision neurostimulation device and its control method. The device includes: stimulation modules connected to stimulation electrodes for applying electrical stimulation signals to the cerebral cortex; an interaction module for receiving user commands to enable user interaction; a main control module for receiving commands from the interaction module and driving the stimulation modules to output electrical stimulation signals; and a stimulation module for outputting high-precision electrical stimulation signals to each stimulation electrode, and through a preset channel control module, combining the stimulation electrodes in three configurations—cathode, anode, and electrode suspension—to form an M×N high-precision electrical stimulation. Based on traditional transcranial electrical stimulation technology, this invention improves the stimulation circuitry, making the channel states flexibly adjustable, achieving flexible and high-precision electrical stimulation with more pronounced stimulation effects and more precise stimulation sites. The high-precision electrodes can be combined in various ways, possessing strong scalability and meeting the needs of complex application scenarios.

The invention relates to nerve stimulation equipment and a nerve regulation and control method, and the nerve stimulation equipment comprises an energy supply module which is used for providing energy for a signal output module; the signal output module is used for outputting ultrasonic signals of which the space peak sound pressure is 0.1 MPa to 0.5 MPa and the space peak time average sound intensity is 0.8 W / cm to 5.2 W / cm; the ultrasound signal is used to stimulate a target neuron. The device outputs large-range ultrasonic signals with the space peak sound pressure ranging from 0.1 MPa to 0.5 MPa and the space peak time average sound intensity ranging from 0.8 W / cm to 5.2 W / cm, the heterogeneity requirements of different brain regions can be met, and the problem that in the prior art, the heterogeneity requirements of different brain regions cannot be met is solved.

Systems and methods can coordinate information among multiple users associated with a neurostimulation device, via an artificial intelligence (AI) system and a conversational bot. An example method for configuring and operating the agent includes: obtaining neurostimulation device data associated with configuration and use of the neurostimulation device; providing the neurostimulation device data as a data source for the AI data processing system that includes a pre-trained large language model (LLM) and an agent to interact with the LLM; configuring the agent with conversation instructions to cause the agent to perform natural language conversations with respective human users based on the configuration and use of the neurostimulation device; and operating the agent to coordinate content of a first natural language conversation that occurs between the agent and a first human user with content of a second natural language conversation that occurs between the agent and a second human user.

1. The name of the design product: nerve stimulator (skull implantable). 2. The use of the design product: for collecting and regulating brain nerve activity by implanting the skull. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: top view.

A limb wearable neurostimulation device for treating Restless Leg Syndrome (RLS) or Periodic Limb Movement Disorder (PLMD) comprises an electrostimulation electronics unit with a printed circuit board (PCB) including a neurostimulation electrical waveform generator. The generator produces atonic motor activation (TOMAC) excitation waveform for delivery by electrodes to patient skin, configured with constant current, frequency of 1,000-5,000 Hz, zero-to-peak current amplitude of 10-50 mA. The device includes an electronics housing and a heat sink or insulating cover arranged to receive thermal conduction from PCB components and regulate thermal output of the electronics housing.

Systems and methods can coordinate information among multiple users associated with a neurostimulation device, via an artificial intelligence (Al) system and a conversational hot. An example method for configuring and operating the agent includes: obtaining neurostimulation device data associated with configuration and use of the neurostimulation device; providing the neurostimulation device data as a data source for the Al data processing system that includes a pre-trained large language model (LLM) and an agent to interact with the LLM; configuring the agent with conversation instructions to cause the agent to perform natural language conversations with respective human users based on the configuration and use of the neurostimulation device; and operating the agent to coordinate content of a first natural language conversation that occurs between the agent and a first human user with content of a second natural language conversation that occurs between the agent and a second human user.

Methods and devices for controlling arbitration in an implantable medical device capable of issuing therapeutic stimuli for a plurality of therapeutic procedures. The system defines treatment procedures at a plurality of levels, including a pulse procedure, an aggregation instruction, and a treatment procedure. The postponing settings and / or arbitration settings are available at several levels defined by the treatment procedure, allowing for increased flexibility and control.

Systems and techniques are disclosed to establish programming of an implantable electrical neurostimulation device for treating chronic pain of a human subject, through the use of a dynamic model adapted to determine pain treatment parameters for a human patient and identify a new device operational program to implement the pain treatment parameters to address the chronic pain condition. In an example, the system to establish programming of the neurostimulation device performs operations that: obtain state data indicating a measured value that is correlated to pain experienced by the human subject; determine neurostimulation programming parameters, using a dynamic model, for pain treatment in the human subject, as the dynamic model is used to identify values of the neurostimulation programming parameters that predict an improvement to the measured value; and indicate a neurostimulation program for the neurostimulation device, that includes the neurostimulation programming parameters for the implantable electrical neurostimulation device.

A neurostimulation device is disclosed, comprising: at least a lead comprising a plurality of electrodes for delivering stimulation pulses to nerves of a patient; a driver circuit configured to generate stimulation pulses and apply them to the electrodes, wherein the nerves have a stimulation threshold voltage which needs to be exceeded to stimulate the nerves; a sensing circuit connected to the electrodes and configured to sense a signal that occurs responsive to a stimulation pulse, the sensed signal having an evoked compound action potential, ECAP, component, which is generated by the nerves responsive to a supra- threshold stimulation pulse, and an artifact component, which is caused by charging of the electrodes by a stimulation pulse regardless of whether the stimulation pulse is above or below threshold; a controller having a calibration mode in which the controller controls the driver circuit to apply sub-threshold stimulation pulses such that no ECAP component is generated so the sensed signal is dominated by the artifact component and a neurostimulating mode in which the controller controls the driver circuit to apply supra-threshold stimulation pulses so that the sensed signal includes an ECAP component; and a signal processing circuit operable to subtract, from the sensed signal collected in the neurostimulating mode, a scaled-up version of the sensed signal collected during the calibration mode, thereby to output a processed sensed signal with an enhanced ECAP component. The scaled-up version of the calibration mode sensed signal is at least in part obtained by amplifying the calibration mode sensed signal by a factor equal to the ratio of supra-threshold stimulation pulse current applied in the neurostimulating mode divided by the sub-threshold stimulation pulse current applied in the calibration mode.

A nerve stimulation device according to one embodiment includes: a substrate including a first surface and a second surface opposite the first surface; a first pattern electrode disposed on the first surface; a second pattern electrode disposed on the second surface; a first protective layer disposed on the first pattern electrode; and a second protective layer disposed on the second pattern electrode, in which the first pattern electrode includes a plurality of branch electrodes, a converging electrode connecting the plurality of branch electrodes, and a protrusion protruding from the branch electrodes or the converging electrode, the protrusions include at least one of a first protrusion connected to the branch electrodes and a second protrusion connected to the converging electrode, and a first pitch between the branch electrodes adjacent to the first protrusion and the first protrusion is 5% to 45% of a second pitch between the branch electrodes.

A therapy program is devised for a neurostimulation device by a computer program that receives an audio data stream of a music track for reproduction on an audio player device. The audio stream is analyzed to extract variables related to temporal variations in the music such as rhythm and tone data, wherein examples of tone data are melody and chords in the music track. The variables are then applied to a mathematical function that has the variables as parameters to generate the therapy program according to the variables extracted from the audio data stream. The therapy program is then applied to a neurostimulation device to treat the patient.

This disclosure relates to generating large language model (LLM)-based neurostimulation programming recommendations. An example method for large language model (LLM)-based neurostimulation programming recommendations comprises receiving patient inputs from a patient undergoing neurostimulation from a programmed neurostimulation device, programmer input data related to the programmed neurostimulation device, or both; querying a trained LLM with the patient inputs, the programmer input data, or both, to generate a programming recommendation, a recommended action, or both; providing a representation of the programming recommendation, the recommended action, or both; receiving an input to initiate the programming recommendation, the recommended action, or both; and initiating an action for the neurostimulation treatment, based on the input to initiate the programming recommendation, the recommended action, or both.

The invention provides a method and a system for analyzing and adjusting user treatment response data of a transcutaneous nerve stimulator, relates to the technical field of data analysis and adjustment, and aims to obtain tremor data, electrical parameter data and skin impedance data, perform control analysis and anti-interference analysis, and improve the accuracy of the user treatment response data. Performing combined analysis on the obtained resistance and interference resistance analysis data and the first control analysis data to obtain resistance and interference resistance direction analysis data; performing electrical parameter combination regulation and control on the first control analysis data to obtain interference electrical parameter regulation data; physiological response data control difference analysis is conducted on the multiple stimulation channels to obtain control difference data, the optimal stimulation channel is determined according to the multiple pieces of control difference data, dynamic updating is conducted on the optimal stimulation channel, stimulation updating channel data is obtained, and high-perception and high-intelligence data analysis, adjustment and optimization are achieved.