44 results about "Stimulus pattern" patented technology

A multimodal wearable band which uses mechanical vibrations to stimulate sensory neurons in the wrist or ankle in order to reduce the severity of tremors, rigidity, involuntary muscle contractions, and bradykinesia caused by neurological movement disorders and to free users from freezing induced by movement disorders. The device uses sensors to provide output used by a processing unit to determine the optimal stimulation pattern for each user and to determine when stimulation is necessary, and then uses one or more vibration motors to accordingly stimulate the user's neurological pathways to lessen the severity of a user's symptoms. The device can also be adapted to integrate with 3rd party devices.

The present disclosure provides a method and system for forecasting the likelihood of seizure onset within an individual. Specifically, the present disclosure relates to an intracranial implant comprising one or more electrodes attached thereto and an associated method for delivering active perturbation patterns to brain regions which includes: sending, via the intracranial implant, an electrical stimuli into a brain, wherein the electrical stimuli is sent in accordance with a stimuli pattern; measuring an output from the brain in response to the electrical stimuli; feeding the output into a forecasting model; and detecting, via the forecasting model, outputs that indicate a high likelihood of seizure. The intracranial implant and associated method may further apply via the brain-contacting electrodes, a prophylactic treatment to the brain to prevent a seizure from occurring, based on detecting an output indicating a high likelihood of seizure.

A peripheral nerve stimulator can be used to stimulate a peripheral nerve to treat essential tremor, Parkinsonian tremor, and other forms of tremor. The stimulation pattern may alternate between the nerves. Improved stimulation algorithms can incorporate at least one of tremor feedback, external data, predictive adaptation, or long-term monitoring data. The device may be configured as a wrist worn device to stimulate three nerves to provide tremor reduction.

Techniques for using a biological and artificial neural network (BANN) system to perform a task. The BANN system comprises a multi-electrode array (MEA); a biological neural network (BNN) comprising neurons arranged on the MEA, a trained statistical model trained using inputs generated using responses of the BNN to training data inputs; and at least one processor. The method comprises using the BANN system to receive an input signal; encode the input signal to generate a stimulation pattern; stimulate the BNN by using the MEA to generate electrical signals in accordance with the stimulation pattern; measure, using the MEA, a response of the BNN responsive to the stimulating; generate, based on the measured response, an input for the ANN; process the input with the trained statistical model to obtain corresponding output; and use the output from the trained statistical model in furtherance of performing the task.

An adaptive stimulation system optimizes pain relief, pleasure enhancement, and healing through closed-loop physiological effectiveness monitoring. The system comprises a stimulation device, sensors measuring physiological responses indicative of stimulation effectiveness, and a processor implementing real-time adaptive control. The system measures unconscious physiological responses that users cannot voluntarily control and involuntary reactions to objectively assess whether stimulation achieves desired outcomes. Through proxy learning, system sensors correlate with sophisticated clinical measurements via machine learning, enabling clinical-grade optimization using accessible devices. The system continuously explores multidimensional parameter spaces to discover optimal stimulation patterns personalized to individual users, automatically adapting parameters based on measured physiological effectiveness rather than subjective user control or preset patterns. Applications include medical devices, wellness products, and intimate stimulation systems.

Systems and methods define a stimulation pattern for a juvenile product utilizing a mobile device that executes a mobile application that is linked to the juvenile product. The method comprises the step of recognizing, by the mobile device when executing the mobile app, the user-defined stimulation pattern for the juvenile product. The stimulation pattern can be a vibration pattern or a motion pattern, and can be detected in a number of different ways by the mobile device. The method further comprises the step of determining control signals for the actuator(s) of the juvenile product based on the user-defined stimulation pattern that is recognized by the mobile device. The method further comprises the step of, in response to receiving a command to execute the user-defined stimulation pattern, controlling the actuator(s) of the juvenile product based on the stored control signals for the user-defined stimulation pattern.

An apparatus for delivering stimulation energy to a patient is provided. The apparatus comprises an algorithm for determining a stimulation paradigm comprising one or more stimulation parameter settings, and an implantable system comprising an implantable device. The implantable device comprises at least one sensor for measuring evoked compound action potentials (eCAPs), muscle responses, and / or other neural responses, and multiple stimulation elements configured to deliver the stimulation energy to tissue based on the stimulation paradigm. The algorithm is configured to determine the stimulation paradigm based on the measured neural responses. Methods of delivering stimulation energy are also provided.

System (100), method and computer program product for training an encoder neural network (110) to generate stimulation patterns (192) for an auditory cortical implant having a predefined number of electrodes arranged in a two‐dimensional electrode array (220) adapted for use in mammals (201) with impaired hearing. The encoder processes soundwave training data records (210i) and outputs for each corresponding soundwave a one‐ dimensional encoded sound vector (191) which is mapped to the electrode array (220) to obtain corresponding two‐dimensional stimulation patterns (192) for the auditory cortical implant. A decoder neural network (130) reconstructs the respective training data record from the encoder output wherein the parameters of the decoder are determined in parallel to the encoder during training. A cost function with a first term (CFr) to measure reconstruction performance and a second term (CFc) to measure continuity of the stimulation patterns is used when training the encoder (110) and decoder (130 while aiming at minimizing a weighted sum of the terms (CFr, CFc) of the cost function.

Provided is a heart-rate control device capable of adjusting the heart rate of a subject to a desired value between a base heart rate and an active heart rate, such as a heart rate immediately after physical exercise. The heart-rate control device includes a detector for detecting heartbeat information of a subject, an input unit to which information on a target value relating to a heart rate of the subject is to be inputted, a difference extracting unit for determining a difference between the target value and a current value relating to the heart rate of the subject, the current value being calculated from the heartbeat information, a pattern generating unit for generating a stimulus pattern depending on the difference so that the current value approaches the target value, the stimulus pattern being a combination of a sympathetic nerve stimulus for stimulating sympathetic nerves, a parasympathetic nerve stimulus for stimulating parasympathetic nerves, and an initialization stimulus for preventing stimulus saturation of the sympathetic nerves or the parasympathetic nerves, and an output unit for outputting the sympathetic nerve stimulus, the parasympathetic nerve stimulus and the initialization stimulus to the subject in accordance with the stimulus pattern.

This disclosure is directed to devices, systems, and techniques for delivering electrical stimulation. In some examples, a system includes processing circuitry configured to: receive information representative of a bioelectric brain signal recorded from a brain of a patient; and determine, based on the information, at least one pathological frequency of the bioelectric brain signal. Additionally, the processing circuitry is configured to select, based on the at least one pathological frequency, a sequence of pulse bursts at a pulse burst frequency, the sequence of pulse bursts at least partially defining electrical stimulation deliverable to an area of a brain of a patient, wherein adjacent pulse bursts within the sequence comprise different intra-burst pulse frequencies; and control a medical device to deliver the electrical stimulation comprising the sequence of pulse bursts to the area of the brain of the patient.

A system for delivering neurostimulation from a stimulation device to a targeted area on a patient may include a programming control circuit and a stimulation programming circuit. The programming control circuit may be configured to generate information for programming the stimulation device to control the delivery of the neurostimulation according to a stimulation program. The stimulation programming circuit may be configured to receive a stimulation field and a stimulation coverage and to determine the stimulation program by including at least one dynamic stimulation pattern configured to expand the stimulation coverage resulting from delivering the neurostimulation to the stimulation field. The stimulation coverage is a portion of the targeted area effectively stimulated by the neurostimulation delivered to the stimulation field. The dynamic stimulation pattern is defined by at least one time-varying stimulation waveform parameter of the stimulation waveform parameters.

The application discloses a stimulation mode control method, a control system, an electronic device and a medium. The control method comprises the following steps: constructing a specific data set of a measured physiological signal; judging whether a to-be-measured physiological signal belongs to the specific data set; when the judgment result is "yes", starting stimulation and selecting a matched stimulation mode, so that the stimulation mode is accurate and effective regulation of the stimulation mode is realized, and the accuracy of the stimulation is improved.

This invention provides a light source with high chromatic color richness. The high chromatic color richness light source is based on the difference in stimulation patterns of the three types of cone cells in the human eye's color perception mechanism between monochromatic light and mixed light that can be identified as that color. The visible light band from 380nm to 780nm is divided into three bands using 430nm and 680nm as sub-band wavelength values. Furthermore, it is designed based on the emission peak wavelength of LED chips and phosphors using the corresponding LED chips as excitation sources, ensuring the richness of the emission peak wavelengths of the high chromatic color richness light source in each band, thus guaranteeing the chromatic color richness of the light source. Therefore, it is beneficial in the human eye's color perception mechanism to make the chromatic color of the object being observed more similar to that of the observed object, thereby improving the human eye's ability to compare and filter differences in the observed object and providing a natural, realistic, and comfortable visual experience.

Techniques for using a biological and artificial neural network (BANN) system to generate a neural-based embedding of an input signal. The BANN system comprises a multi-electrode array (MEA); a biological neural network (BNN) comprising neurons arranged on the MEA, an artificial neural network; and at least one processor. The method comprises using the BANN system to stimulate the BNN by using the MEA to generate electrical signals in accordance with a stimulation pattern generated based on the input signal; measure, using the MEA, a response of the BNN responsive to the stimulating by deriving from the response of the BNN, multiple features of the at least one response; and process the multiple features derived from the response of the BNN with the ANN to generate the neural-based embedding, wherein the ANN is trained to process the multiple features derived from the response of the BNN.

A neuroprosthetic system for substituting a sensory modality of a mammal by electrical stimulation of a region of the cerebral cortex corresponding to the neural modality to be substituted. The system includes at least one sensor for generating a sensed data feed by sensing a neural modality to be substituted, an electrode unit including a plurality of three-dimensional arrays of flexible electrode shafts for implantation of a region of the cerebral cortex, a rigid electrode support structure for guiding the flexible electrode shafts into the region of the cerebral cortex and for retraction after implantation, a driving unit for electrically driving the electrode, a recording unit, and a processing unit for analysing sensed data feed for providing stimulation patterns for electrically driving groups of electrical contacts of the electrode unit corresponding to subsets of locations in the region of the cerebral cortex, for substituting the sensory modality.

Administration of low frequency electrical stimulation of the cranial nerves delivered during sleep increases the presence and function of aquaporin-4 (AQP4) channels in the astrocytic endfeet surrounding descending arterioles in the brain. This underlying low frequency stimulation pattern is overlaid with temporally patterned 'bursts' of higher frequency stimulation to pulse the underlying artery to drive cerebrospinal fluid (CSF) penetration into the parenchyma This also serves to create more movement in general within the parenchymal extracellular space to increase the probability of waste biomolecules to interact with sites for active transport out of the brain. During the period of sleep, these two layered patterns will be periodically replaced with multiple continuous periods of stimulation at gamma frequency to promote a more phagocytic phenotype in glial cells to help break down waste biomolecules and misfolded proteins for subsequent clearance. Administration of electrical stimulation can be selectively modified to adjust CSF clearance, for example, to quickly clear drug concentrations in the brain during an overdose.

Systems and methods define a stimulation pattern for a juvenile product utilizing a mobile device that executes a mobile application that is linked to the juvenile product. The method comprises the step of recognizing, by the mobile device when executing the mobile app, the user-defined stimulation pattern for the juvenile product. The stimulation pattern can be a vibration pattern or a motion pattern, and can be detected in a number of different ways by the mobile device. The method further comprises the step of determining control signals for the actuator(s) of the juvenile product based on the user-defined stimulation pattern that is recognized by the mobile device. The method further comprises the step of, in response to receiving a command to execute the user-defined stimulation pattern, controlling the actuator(s) of the juvenile product based on the stored control signals for the user-defined stimulation pattern.

This disclosure relates to a method, system, device, and medium for processing visual cortex photoelectrostimulation. The method includes: acquiring a visual stimulus pattern; determining a mathematical model based on the visual stimulus pattern; generating a visual stimulus signal of a target paradigm according to the mathematical model; acquiring the user's electroencephalogram (EEG) signal and eye and / or pupil response signal corresponding to the visual stimulus signal; processing the response signal to obtain a visual cortex response signal of a target format; acquiring the EEG signal and visual cortex response signal under multiple different target paradigms; selecting different processing methods to extract features from the EEG signal and visual cortex response signal according to different target paradigms to obtain multiple target features; evaluating based on the multiple target features to obtain an evaluation result; and displaying the evaluation result in the form of charts and numerical values ​​on the user terminal interface. This technical solution combines multiple advanced stimulus generation, recording, and analysis methods, making it suitable for various scenarios.

The invention discloses a visual stimulation pattern display normal form, equipment, a medium, a product and an adaptive system, and belongs to the field of brain-computer interfaces. The normal form comprises the steps that at least two stimulation areas are displayed in a display interface, each stimulation area in the at least two stimulation areas at least comprises a peripheral view pattern displayed at a preset frequency, the peripheral view patterns are used for inducing steady-state visual evoked potentials, and different stimulation areas correspond to different stimulation time windows; a silence time window is arranged between every two adjacent stimulation time windows; for each stimulation time window under the current stimulation round, determining a display time period distributed in the current stimulation time window, when the display time period arrives, displaying a central view pattern in the center of the corresponding stimulation area, the display time period being randomly distributed in the current stimulation time window, and displaying the central view pattern in the center of the corresponding stimulation area; the duration of the display period is determined based on the response time of the predetermined component of the subject event-related potential. According to the embodiment of the invention, the number of targets corresponding to the classifiable central view pattern can be increased.

According to the closed-loop feedback training method and device for hypoglycemia perception reconstruction, a closed-loop training system integrating monitoring, stimulation, recording and evaluation is established, a patient is helped to reestablish the correct recognition and perception ability of the brain on hypoglycemia early signals, and the serious hypoglycemia risk is reduced fundamentally. The method comprises the following steps: (1) acquiring continuous blood glucose monitoring data of a user through a data interface, and judging whether a training trigger condition is met or not based on a blood glucose lowering trend of the data; (2) when it is judged that the training opportunity arrives, a preset specific tactile stimulus is applied to the user through a tactile feedback device; (3) when the tactile stimulation is applied, a guide instruction is sent to a user through a user interface, and a recording entrance is provided; (4) the blood glucose value / trend at the training time, the applied tactile stimulation mode and the subjective feeling recorded by the user are stored in an associated mode, a training log is formed, and the training log is analyzed regularly.

The application provides an enhanced non-invasive deep brain stimulation system and method based on time interference, which comprises: an enhanced sawtooth wave stimulation waveform; a stimulation circuit supporting the enhanced sawtooth waveform; and a finite element simulation subsystem for guiding the stimulation mode. Compared with the traditional sine wave time interference, the sawtooth wave time interference generates a steeper envelope, thereby enhancing the stimulation intensity. The sawtooth wave spectrum has more complex components and contains more high-frequency components, and a specific constant-current source stimulator is required to ensure that the high-frequency component output constant current is not distorted. The system further comprises a simulation subsystem for determining stimulation parameters using a corrected finite element method and a stimulation subsystem for stimulating according to the parameters. Compared with the traditional sine wave, the application provides a non-invasive deep brain stimulation based on sawtooth wave time interference, improves the stimulation intensity, and provides a more effective method for non-invasively regulating the brain and intervening in diseases.

Systems and methods are disclosed for deep brain stimulation. In one implementation, a deep brain stimulation system comprises a neural probe configured for placement within a brain; at least one signal lead; a sensing assembly including at least one sensing micro-electrode and at least one stimulation electrode; and at least one processor assembly configured to: receive at least one sense signal generated in response to interaction between the at least one sensing electrode and one or more electrical signals generated by at least one neuron in the brain; deliver at least one of a library of preset target stimulation patterns; determine a target stimulation pattern based on at least one characteristic of the at least one sense signal; and cause a signal generator to deliver stimulation signals to stimulation electrodes among the at least one stimulating electrode to activate the set of stimulation electrodes according to the target stimulation pattern.

The present disclosure relates to a magnetic field treatment device for providing multiple stimulation patterns, wherein the magnetic field treatment device irradiates the human body with a pulsed electromagnetic field for the purpose of pain treatment, paralysis treatment, nerve stimulation, strengthening muscles, or the like. According to an aspect of the present invention, the magnetic field treatment device comprises: a plurality of magnetic field generation circuits; and a single magnetic field discharge unit that includes a coil unit assembly composed of a plurality of coil units. The magnetic field generation circuits are respectively connected to the plurality of coil units of the coil unit assemblies, and the coil unit assembly is configured to output at least two or more output stimulation patterns.

This invention discloses an implantable closed-loop neuromodulation system and method, relating to the field of neuroengineering, aiming to solve the problems of poor electrode adaptability and slow closed-loop response in existing implantable neuromodulation systems. The system includes intracranial electrodes, a one-to-one matching adapter plate for adapting different electrodes, a feedthrough component, and an implantable host fixed to the skull surface. The processing unit within the host decodes neural signals in real time within 10 ms to determine the brain state; if an abnormality is detected, the stimulation output unit selects a pattern from a preset safe stimulation pattern library to generate stimulation commands for intervention. This application achieves multi-electrode adaptation through the adapter plate and millisecond-level closed-loop response through high-speed processing, improving the timeliness and accuracy of intervention and enhancing safety.

Provided are a method and a system for applying and optimizing a patient's blood pressure lowering stimulation therapy. 【Solution means】It includes establishing the patient's baseline blood pressure parameters, applying a predefined stimulation pattern, and determining whether the predefined stimulation pattern meets the specified acceptance criteria. If the predefined stimulation pattern does not meet the specified acceptance criteria, a new stimulation pattern is calculated and applied, and it is determined whether the new stimulation pattern meets the specified acceptance criteria. From among the applied predefined stimulation pattern and the applied new stimulation pattern, the most suitable stimulation pattern for the patient is determined, and the most suitable stimulation pattern for the patient is applied.

A method of providing sensory stimulation to a user is described. The method includes alternating sensory stimulation between a first sensory stimulation including simultaneously providing a left visual stimulus pattern to a left eye and a right auditory stimulus pattern to the right side of a head and a second sensory stimulation including simultaneously providing a right visual stimulus pattern to a right eye and a left auditory stimulus pattern to the left side of the head. The first sensory stimulation and the second sensory stimulation each include a first stimulus pattern having a first pulse frequency, a second stimulus pattern having a second pulse frequency less than the first pulse frequency, and a third stimulus pattern having a third pulse frequency less than the second pulse frequency. The first pulse frequency, the second pulse frequency, or the third pulse frequency is between approximately 3.75 Hz and 4.25 Hz.

Techniques for using a biological and artificial neural network (BANN) system to perform a task. The BANN system comprises a multi-electrode array (MEA); a biological neural network (BNN) comprising neurons arranged on the MEA, a trained statistical model trained using inputs generated using responses of the BNN to training data inputs; and at least one processor. The method comprises using the BANN system to receive an input signal; encode the input signal to generate a stimulation pattern; stimulate the BNN by using the MEA to generate electrical signals in accordance with the stimulation pattern; measure, using the MEA, a response of the BNN responsive to the stimulating; generate, based on the measured response, an input for the ANN; process the input with the trained statistical model to obtain corresponding output; and use the output from the trained statistical model in furtherance of performing the task.

Techniques for using a biological and artificial neural network (BANN) system to perform a task. The BANN system comprises a multi-electrode array (MEA); a biological neural network (BNN) comprising neurons arranged on the MEA, a trained statistical model trained using inputs generated using responses of the BNN to training data inputs; and at least one processor. The method comprises using the BANN system to receive an input signal; encode the input signal to generate a stimulation pattern; stimulate the BNN by using the MEA to generate electrical signals in accordance with the stimulation pattern; measure, using the MEA, a response of the BNN responsive to the stimulating; generate, based on the measured response, an input for the ANN; process the input with the trained statistical model to obtain corresponding output; and use the output from the trained statistical model in furtherance of performing the task.

The invention provides a method and system for predicting the possibility of individual epileptic seizure. Specifically, the present disclosure relates to an intracranial implant comprising one or more electrodes attached thereto, and an associated method of delivering an active perturbation pattern to a brain region, the method comprising: sending electrical stimulation to the brain through the intracranial implant, where the electrical stimulation is sent according to a stimulation pattern; measuring the output of the brain to the electrical stimulation; inputting the output into a prediction model; and detecting, through the prediction model, an output indicating a high likelihood of epileptic seizure. Based on detecting an output indicative of a high likelihood of a seizure, the intracranial implants and related methods may also prophylactically treat the brain through brain contact electrodes to prevent a seizure.

System, methods, and other embodiments described herein relate to enhancing operator vigilance without causing an adverse reaction. In one embodiment, a method includes receiving a disengagement likelihood; selecting a stimulus pattern that if executed adjusts a vehicle function; and executing the stimulus pattern if the disengagement likelihood is above a first threshold and below a second threshold.