16 results about "Stimulus pattern" patented technology

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.

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.

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.

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.

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.

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.

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.

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.

The present application relates to a kind of brain deep electric stimulation equipment capable of realizing burst stimulation mode, the electric stimulation equipment includes brain deep stimulation unit and brain deep stimulation electrode, and they are connected by in-vivo lead wire.Wherein, brain deep stimulation unit is configured to be able to make brain deep stimulation electrode at adjustable stimulation parameter burst stimulation mode to implement the deep brain stimulation neuroregulation of target target point.Therein, the stimulation signal of burst stimulation mode can be adaptively adjusted according to the different electrophysiological characteristics of target target point one or more of group frequency, intra-group frequency and the number of sine waves in single stimulation period.

The invention relates to a software-based method for activating and analyzing a neural network state of a subject for neurophysiological data analysis, pattern identification and characterization involving, the method comprising the steps of: (i) administering a resting-state condition during which the subject's brain activity is measured in the absence of rhythmic sensory stimulation or task; (ii) administering to the subject a sensory stimulation, possibly supplied with a cognitive task, selected from the group consisting of auditory stimulation, visual stimulation, haptic stimulation, electrical stimulation, and magnetic stimulation modalities such as transcranial alternating current stimulation, subauditory stimulation devices, functional electric stimulation, and skin-applied stimulation systems, or any combination thereof, at a frequency between at least 0.01 Hz and at most 120 Hz to induce rhythmic brain responses; (iii) measuring the subject's brain responses with one or more brain imaging or recording devices; (iv) analyzing the measured brain responses by performing a software analysis that generates either a brain topography or a network connectivity map in response to the sensory stimulation and a brain topography or connectivity map of the default mode network during the resting state; and (v) comparing the obtained brain topographies or functional connectivity maps to a database of normative data in order to identify abnormalities.

The present disclosure describes a method for providing sensory stimulation to a user with a neurological disorder, such as post-traumatic stress disorder. The method includes receiving a set of sensory stimulation instructions by a processor within a headset. The method also includes administering a therapeutically effective amount of the sensory stimulation, wherein the sensory stimulation alternates between a first sensory stimulus comprising simultaneously providing a left visual stimulation pattern to the user's left eye and a right auditory stimulation pattern to the right side of the head, and a second sensory stimulus comprising simultaneously providing a right visual stimulation pattern to the user's right eye and a left auditory stimulation pattern to the left side of the head. The first sensory stimulus and the second sensory stimulus comprise a first stimulation pattern, a second stimulation pattern, and a third stimulation pattern, respectively.