42 results about "Evoked compound action potential" patented technology

This disclosure is directed to devices, systems, and techniques for controlling electrical stimulation. In some examples, a computing device includes a therapy-management application configured to assist a user to: capture a representative evoked compound action potential (ECAP) signal from a patient based; apply one or more filters to the representative ECAP signal to select one or more parameters of the representative ECAP signal; and control electrical stimulation therapy based at least in part on the one or more parameters.

Disclosed herein are of systems, methods, and computer-program products for determining if a response is an electrically evoked compound action potential (eCAP), refining raw data of an eCAP amplitude growth function (AGF) and utilizing maximum (i.e., steepest) slope from moving linear regression to effectively estimate cochlear nerve function, and determining quality of an electrode-neuron interface (ENI) using a model developed from eCAP attributes.

Sensing an evoked response to electrical stimulation of target tissue of a patient in conjunction with an intra-luminal electrode. The intra-luminal electrode may be implanted in a blood vessel or similar lumen proximal to the target tissue and the sensed signals and / or delivered stimulation may pass through the blood vessel. or other lumen, walls. In some examples the evoked response may be an evoked compound action potential (ECAP), which may also be evoked resonant neural activity (ERNA). The electrical stimulation may elicit a measurable response indicative of a thought pattern or neural state that would otherwise be undetectable using a non-evoked biopotential.

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.

This disclosure is directed to devices, systems, and techniques for controlling electrical stimulation. In some examples, a system includes a user interface and processing circuitry. The processing circuitry is configured to output, for display by the user interface, a message requesting the patient perform a set of actions, receive, from the user interface, user input indicative of a patient response associated with the set of actions, and determine, based on the user input, one or more adjustments to a control policy which controls electrical stimulation delivered by a medical device based on a plurality of evoked compound action potentials (ECAPs) sensed by the medical device.

Methods, systems, and computer-implementable algorithms for determining time-varying pulses for a patient with an implantable stimulator device (ISD) are disclosed. At least one time-invariant tonic stimulation pulse parameter (e.g., amplitude, pulse width, or frequency) is modified by a modulation function to produce a time-varying pulse (TVP), and one or more measurements are made to determine the effectiveness of the TVP. The measurements can be objective and taken from the patient, and / or subjective and determined based on feedback from the patient. In one example, the objective measurements can include one or more features determined from an epidural spinal cord electrogram (ESG) signal detected by the ISD, which can include an evoked compound action potential. The one or more measurements are used to determine a score for the TVP, which is useful in selecting the best TVP for use with the patient, or for adjusting the modulation function applied to the tonic stimulation parameters.

Methods and systems for using sensed neural responses for informing aspects of stimulation therapy are disclosed. For example, features of evoked neural responses, such as evoked compound action potentials (ECAPs) can be used for closed-loop feedback control of stimulation parameters. Aspects of the disclosed methods and systems can differentiate between changes in the sensed neural responses that are caused by the environment at stimulating electrodes and changes in the neural responses that are caused by the environment at sensing electrodes. Embodiments determine changes in the morphology of the neural responses, which morphology changes indicate a degree of change in the stimulating environment. Algorithms and systems for assigning and tracking likelihoods for underlying electrode-tissue changes based on sensed neural responses are disclosed. The feedback control modality may be updated based on such likelihoods. Also disclosed are methods and systems for determining which features of evoked neural responses are more sensitive to changes in the stimulating environment and less sensitive to changes in the sensing environment.

Therapy can be determined using evoked compound action potentials (ECAPs). For example, a medical device includes stimulation generation circuitry and processing circuitry. The processing circuitry is configured to determine whether a characteristic of a first ECAP is greater than a threshold ECAP characteristic value. Based on the characteristic of the first ECAP being greater than the threshold ECAP characteristic value, the processing circuitry is configured to decrease a parameter of a first set of pulses delivered by the stimulation generation circuitry after the first ECAP. Additionally, the processing circuitry is configured to determine whether a characteristic of a second ECAP is less than the threshold ECAP characteristic value, and based on the characteristic of the second ECAP being less than the threshold ECAP characteristic value, increase a parameter of a second set of pulses delivered by the stimulation generation circuitry after the second ECAP.

This document discusses, among other things, systems and methods for providing pain relief to a patient. Recording circuitry may receive electrical signals corresponding to evoked compound action potentials in the patient that may be produced in response to external stimulation of a location where the patient is experiencing pain. The received electrical signals may be stored in a memory. Internal stimulation may then be applied to the patient and control circuitry may receive electrical signals corresponding to evoked compound action potentials in the patient that may be produced in response to the internal stimulation. The control circuitry may then adjust electrical parameters of the internal stimulation, such as to reduce a difference between the electrical signals corresponding to evoked compound action potentials produced in response to the internal stimulation and electrical signals corresponding to evoked compound action potentials produced in response to the external stimulation.

Systems and methods for programming a neuromodulation system are provided. One or more electrodes may be determined to enable at least one of a target stimulation therapy or a target alternative stimulation therapy. The device may be programmed with one or more parameters based on the target stimulation therapy or the target alternative stimulation therapy. A signal corresponding to the stimulation when a user performs an aggressor movement may be received and one or more parameters may be adjusted when the signal corresponding to the stimulation when the user performs the aggressor movement does not include an electrically evoked compound action potential (ECAP). Alternatively or additionally, one or more thresholds may be set when the signal corresponding to the stimulation when the user performs the aggressor movement includes the ECAP.

Evaluation and adjustment of time-varying pulse patterns in spinal cord stimulator systems are disclosed. Methods, systems, and computer-implemented algorithms are disclosed for determining time-varying pulses for a patient having an implantable stimulator device (ISD). At least one time-invariant stimuli pulse parameter (e.g., amplitude, pulse width, or frequency) is modified by a modulation function to produce a time-varying pulse (TVP), and one or more measurements are made to determine the effectiveness of the TVP. The measurements may be objective and taken from the patient, and / or subjective and determined based on feedback from the patient. In one example, the objective measurements may include one or more features determined from electrospinal cord (ESG) signals detected by the ISD, which may include evoked composite action potentials. One or more measurements are used to determine a score of TVP, which is useful in selecting an optimal TVP for use with a patient, or in adjusting a modulation function applied to an ankylosing stimulation parameter.

This application discloses a personalized rehabilitation system for cochlear implant surgery based on multimodal data fusion, belonging to the field of rehabilitation equipment technology. The system includes: a data acquisition and processing module for acquiring the original electrically evoked compound action potential (EEP) signals of the test subject and generating a neural response feature vector based on the original EEP signals; a personalized parameter mapping module for generating the test subject's subjective comfort threshold for the maximum electrical stimulation level based on the neural response feature vector and the test subject's clinical data; adjusting the subjective comfort threshold based on real-time biofeedback signals; and a rehabilitation training module for constructing a VR training scenario, electrically stimulating the test subject's cochlea according to the subjective comfort threshold, and acquiring the test subject's real-time biofeedback signals in the VR training scenario. This application effectively applies objective original EEP signals to personalized parameter mapping of the cochlear implant, reducing reliance on the test subject's subjective feedback and improving the accuracy and efficiency of mapping.

Systems, devices, and techniques for analyzing evoked compound action potentials (ECAP)signals to evaluate and select an electrode combination. A method includes controlling, by processing circuitry, deliver of a plurality of stimulation pulses via at least one stimulation electrode combination, receiving, by the processing circuitry, evoked compound action potential (ECAP) signal information representing different ECAP signals evoked from respective stimulation pulses of the plurality of stimulation pulses and obtained from respective different sensing electrode combinations, selecting by the processing circuitry and based on the ECAP signal information, one electrode combination from the different sensing electrode combinations.

A neural stimulation device is disclosed, including: a pulse generator, an evoked compound action potential (ECAP) sensor, and a neural stimulation controller. The neural stimulation controller instructs the ECAP sensor to sense an ECAP after a pulse is generated by the pulse generator within a first pulse generation cycle, adjust an amplitude of a pulse generated within a second pulse generation cycle in response to a peak-to-peak value of the ECAP being not in a comfort range, and adjust, according to an expected peak-to-peak value, an amplitude of a pulse generated within a third pulse generation cycle in response to a peak-to-peak value of the ECAP after the pulse is generated within the second pulse generation cycle being still not in the comfort range. The expected peak-to-peak value is in the comfort range including an amplitude dimension of the pulse and a peak-to-peak value dimension of the ECAP.

This disclosure is directed to devices, systems, and techniques for controlling electrical stimulation. In some examples, a computing device includes a therapy-management application configured to assist a user to: capture a representative evoked compound action potential (ECAP) signal from a patient based; apply one or more filters to the representative ECAP signal to select one or more parameters of the representative ECAP signal; and control electrical stimulation therapy based at least in part on the one or more parameters.

The present disclosure relates to devices, systems, and techniques for managing storage of sensing information. In some examples, a system includes a memory and a processing circuit. The processing circuit can be configured to: receive evoked compound action potential (ECAP) information, wherein the ECAP information includes information from a plurality of evoked compound action potential (ECAP) signals; receive a trigger signal requesting long-term storage of at least a portion of the ECAP information in the memory; and in response to receiving the trigger signal, store at least a portion of the ECAP information in the memory.

A system and method for denervation of nerves of a blood vessel including a first catheter configured for navigation within a blood vessel of a patient, the catheter having a first plurality of electrodes for applying stimulation and therapy to nerves adjacent the blood vessel, a second catheter configured for navigation within the blood vessel of a patient, the second catheter having a second plurality of electrodes for detecting a signal emitted by nerves to which stimulation has been applied, a stimulation source in electrical communication with the first plurality of electrodes and configured to output a stimulation signal to the first plurality of electrodes of the first catheter, and a computing device including a memory and a processor, the memory storing instructions that when executed, cause the processor to receive the signal detected by the second plurality of electrodes and determine an evoked compound action potential (ECAP) value.

Systems and methods are disclosed for conducting spinal cord stimulation or other neurostimulation and sensing evoked compound action potential (ECAP) signals. The sensed signals may be processed to isolate ECAP features from noise and / or interfering signals. The isolated ECAP features may be used to control neurostimulation therapy for the patient, such as to quantify or measure lead migration and adjust a neurostimulation therapy for the patient to account for an impact of any detected lead migration, or other purposes (e.g., to guide an implant procedure).

A system and method for modeling patient-specific spinal cord stimulation (SCS) is disclosed. The system and method acquire impedance and evoked compound action potential (ECAP) signals from a lead positioned proximate to a spinal cord (SC). The lead includes at least one electrode. The system and method determine a patient-specific anatomical model based on the impedance and ECAP signals, and transform a dorsal column (DC) map template based on a DC boundary of the patient-specific anatomical model. Further, the system and method map the transformed DC map template to the patient-specific anatomical model. The system and method may also include the algorithms to solve extracellular and intracellular domain electrical fields and propagation along neurons. The system and method may also include the user interfaces to collect patient responses and compare with the patient-specific anatomical model as well as using the patient-specific anatomical model for guiding SCS programming.

This disclosure is directed to devices, systems, and techniques for controlling electrical stimulation. In some examples, a computing device includes a therapy-management application configured to assist a user to: capture a representative evoked compound action potential (ECAP) signal from a patient based; apply one or more filters to the representative ECAP signal to select one or more parameters of the representative ECAP signal; and control electrical stimulation therapy based at least in part on the one or more parameters.

The invention discloses a method for controlling the temperature of electrical stimulation equipment, a medium, a product and the electrical stimulation equipment. The method comprises the following steps: acquiring a current temperature value of the electrical stimulation equipment in real time; when the temperature value is higher than or equal to a first temperature threshold value, acquiring a current evoked composite action potential (ECAP) signal of the patient, and extracting a characteristic value of a waveform of the ECAP signal; comparing the characteristic value with an ECAP safety threshold value; when the characteristic value is higher than or equal to an ECAP safety threshold value, determining a temperature control strategy for the electrical stimulation equipment according to the temperature value; and controlling the temperature of the electrical stimulation equipment based on the determined temperature control strategy. A temperature value monitored in real time serves as a core basis of temperature regulation and control, and ECAP signals capable of reflecting the physiological state of a patient are fused at the same time, so that a bimodal collaborative temperature regulation and control mechanism is constructed. According to the mechanism, by fusing multi-dimensional information, the opportunity for starting temperature regulation and control can be more accurately judged, a temperature regulation and control strategy matched with the opportunity is dynamically formulated, and the accuracy, adaptability and reliability of temperature regulation and control are remarkably improved.

A system, device, and method trains a machine learning model based on training data, wherein the training data is fit to an evoked compound action potential (ECAP) response model to derive a threshold of an evoked response. The method also includes labeling points in the training data as not containing an the ECAP if a waveform was captured below the threshold of the evoked response and or as containing an the ECAP if the waveform was captured above the threshold of the evoked response. The method further includes determining weights by weighting points above the threshold of the evoked response based on a proximity to the threshold of the evoked response and process, by the machine learning model, a received waveform to assign a classification to one or more portions of the received waveform based on the determined weights.

Techniques are disclosed for enabling adaptive adjustment of parameters of high frequency electrical stimulation using electrically evoked compound action potential (ECAP). In one example, a medical device delivers an electrical stimulation therapy including a train of electrical stimulation pulses to a patient, where the train of electrical stimulation pulses includes a pulse frequency greater than or equal to 500 Hertz. After delivering the electrical stimulation pulse train, the medical device stops delivery of the high frequency electrical stimulation therapy for a predetermined period of time. During the predetermined time period, the medical device senses ECAP from the patient and determines a value of a parameter that at least partially defines the electrical stimulation pulse train based on the sensed ECAP. In response to the elapsed predetermined period of time, the medical device resumes delivery of the high frequency electrical stimulation in accordance with the determined parameter.

The invention provides a multi-modal screening system and method for candidate patients for cochlear implantation of senile deaf patients. The method comprises the steps that the relative telomere length of leukocyte DNA in peripheral blood sample data of the senile deaf patients and a temporal bone three-dimensional image of the senile deaf patients are obtained; analyzing the temporal bone three-dimensional image to obtain an oval window width and an included angle between a facial nerve level segment and a projia; obtaining an electric evoked compound action potential signal of the auditory nerve of the senile deafness patient under the electric stimulation effect of the preset parameters, and obtaining a filtered electric evoked compound action potential signal; based on the telomere relative length, the oval window width, the included angle and the filtered electric evoked composite action potential signal, candidate patients suitable for cochlear implant implantation are judged; according to the technical scheme provided by the invention, the construction of a comprehensive evaluation system is realized, so that the artificial cochlea implantation fitness of the patient is evaluated more accurately, and the scientificity and reliability of candidate patient screening are improved.

A system for providing therapy to a patient includes stimulation generation circuitry, sensing circuitry, and processing circuitry. The processing circuitry is configured to cause storage of a first voltage at a first terminal at a first calibration capacitor and storage of a second voltage at a second terminal at a second calibration capacitor. The processing circuitry is configured to switch out a first calibration switch to prevent the first voltage stored at the first calibration capacitor from changing and switch out a second calibration switch to prevent the second voltage stored at the second calibration capacitor from changing and determine, with the sensing circuitry, a sensing signal based on the first voltage offset by a first calibration voltage stored by the first capacitor and based on the second voltage offset by a second calibration voltage stored by the second capacitor.

Techniques for implementing adaptive adjustment of parameters of high frequency electrical stimulation using electrically evoked compound action potentials (ECAPs) are disclosed. In one example, a medical device delivers electrical stimulation therapy comprising an electrical stimulation burst to a patient, where the electrical stimulation burst comprises a pulse frequency greater than or equal to 500 hertz. After delivering the electrical stimulation burst, the medical device stops delivery of the high frequency electrical stimulation therapy for a predetermined period of time. During the predetermined period of time, the medical device senses an ECAP from the patient and determines a value of a parameter that at least partially defines the electrical stimulation burst based on the sensed ECAP. In response to the predetermined period of time elapsing, the medical device resumes delivery of the high frequency electrical stimulation in accordance with the determined parameter.

An example system includes a first implantable medical device (IMD) configured to sense electroencephalogram (EEG) signals of a patient; a second IMD configured to determine evoked compound action potential (ECAP) of the patient; and processing circuitry of at least one of the first IMD, the second IMD, or a computing device configured for wireless communication with at least one of the first IMD or the second IMD, the processing circuitry configured to determine a nerve tissue stimulation command based on at least one of the EEG signals and the ECAP, wherein the second IMD is further configured to apply an electrical signal to stimulate nerve tissue based on the nerve tissue stimulation command.

Methods and systems for spinal cord stimulation (SCS) are disclosed. The methods and systems involve using electrode leads implanted within the patient's spinal column to record neural responses evoked by the stimulation. The disclosed neural responses are different in several respects from electrical responses that have previously been measured in the context of SCS, such as stimulation artifacts and evoked compound action potentials (ECAPs). The disclosed neural responses typically occur later in time following the evoking stimulation pulse. Another distinguishing feature is that disclosed neural responses are generally most prominently observed with consistent, relatively unchanging amplitudes when the evoking stimulation frequency is ultra-low, for example, about 10 Hz or less. The disclosed methods and systems may use these neural responses as indications of pain, therapy, and / or another clinically relevant dimension, to direct / confirm stimulation placement, and for feedback control of stimulation parameters.

Provided is a peripheral nerve stimulation system comprising: a device for electrically stimulating a peripheral nerve and measuring an evoked compound action potential (ECAP) from the peripheral nerve; a control unit for receiving feedback of the ECAP measured after stimulating the peripheral nerve and determining a threshold value of the ECAP; and a stimulation determination unit for determining, according to the threshold value, a stimulation intensity of an electrode that stimulates the peripheral nerve.

A system for closed-loop control of sub-perception spinal cord stimulation therapy is provided. The system includes an implantable pulse generator (IPG) with an evoked compound action potential (ECAP) recording module and accelerometer. A regression model maps accelerometer data to optimal stimulation parameters for consistent nerve activation. This enables closed-loop therapy in the sub-perception domain where ECAP features are not visually detectable. A clinician programmer applies the model and sub-perception dose to therapy programs deployed to the IPG. The model can be customized to each patient by collecting ECAP and accelerometer data. The mapping reconciles ECAP -based control between perception and sub-perception domains by supplementing unavailable ECAP data with accelerometer data. This improves stimulation therapies for patients receiving sub-perception and multi-sensor paresthesia treatments.