Abstract: This document discusses a neurostimulation device to monitor electrical neural activity when connected to implantable electrodes. The neurostimulation device includes a sensing circuit configured to sense sensing a local field potential (LFP) signal of a patient when connected to implantable electrodes and signal processing circuitry operatively coupled to the sensing circuit. The signal processing circuitry is configured to compute a power spectral density (PSD) of the sensed LFP signal, compute a slope of the PSD of the sensed LFP signal, and determine a physiological state of the patient using the computed slope of the PSD of the sensed LFP signal.

Abstract: A system may control when, with respect to a non-uniform waveform pattern used to deliver neurostimulation, to sense neural signals to appropriately control neurostimulation. The system may include a neural sensor configured to sense a neural signal, a neurostimulator configured to access a non-uniform waveform pattern and deliver the neurostimulation corresponding to the non-uniform waveform pattern, and a controller. The controller may be configured to automatically assign, based on the non-uniform waveform pattern, at least one sensing window for the non-uniform waveform pattern, control the neural sensor to sense the neural signal during the sensing window when the neurostimulation is delivered, and control the delivery of the neurostimulation from the neurostimulator based on the sensed neural signal.

Abstract: This document discusses a computer-implemented method of operating a neurostimulation device to deliver electrical neurostimulation when connected to an implantable stimulation lead. The method includes delivering neurostimulation to a subject using a neurostimulation device of the neurostimulation system when the neurostimulation device is connected to an implantable stimulation lead; recording electrical signals sensed using the implantable stimulation lead; detecting and correcting errors in a recorded electrical signal to produce a corrected recorded electrical signal; and adjusting a device-based neurostimulation therapy provided to the subject using the corrected recorded electrical signal.

Abstract: 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.

Abstract: Systems and methods for customizing signal processing functionality in a medical device to improve a closed-loop neuromodulation therapy are disclosed. An exemplary electrostimulation systemH comprises an electrostimulator, a sensor circuit to sense a physiological signal from a patient and to collect patient condition or contextual information during the sensing of the physiological signal, and a controller circuit. The controller circuit determines a signal processing parameter such as a filter setting based on the patient condition or contextual information, process the physiological signal using the determined signal processing parameter, and generates a feedback control signal to the electrostimulator to adjust the neuromodulation therapy based on a signal feature extracted from the processed physiological signal.

Abstract: Methods and systems for making adjustments to electrical stimulation based on patient-specific factors can includes the following instructions or actions: receiving information regarding at least one of i) electrical response of patient tissue, ii) patient response to stimulation, or iii) an arrangement of the implanted lead or the electrodes of the implanted lead with respect to patient anatomy; and calculating an electrode weight for each of a plurality of the electrodes of the implanted lead based on the received information.

Abstract: Systems and methods for customizing signal processing in a medical device to improve a closed-loop neuromodulation therapy are disclosed. An exemplary electrostimulation system comprises an electrostimulator to provide a neuromodulation therapy, a sensor circuit to sense a physiological signal from a patient, and a controller circuit. The controller circuit selects a signal transformation model from a plurality of candidate frequency- or time and frequency (TF)-based transformation models based at least on a signal property of the sensed physiological signal. The controller circuit processes the physiological signal using the selected signal transformation model, extract signal amplitude and phase information from the processed signal, and generate a feedback control signal to the electrostimulator to adjust the neuromodulation therapy based on the extracted signal features.

Abstract: An implantable stimulator can control delivery of the neurostimulation to a patient according to a stimulation configuration and adjust the stimulation configuration by using a closed-loop control algorithm. In an example, the system may include a remote controller (RC) configured for use by the patient. The RC may transmit stimulator adjustment information to the implantable stimulator. The stimulator adjustment information may include direct control adjustment information for adjusting the stimulation configuration and adaptation adjustment information for adjusting the closed-loop control algorithm. The RC may generate the stimulator adjustment information based on patient adjustment instructions.

Abstract: Methods and systems for making adjustments to electrical stimulation based on patient-specific factors can includes the following instructions or actions: receiving information regarding at least one of i) electrical response of patient tissue, ii) patient response to stimulation, or iii) an arrangement of the implanted lead or the electrodes of the implanted lead with respect to patient anatomy; and calculating an electrode weight for each of a plurality of the electrodes of the implanted lead based on the received information.

Abstract: Systems and methods for closed-loop control of electrostimulation based on signal features derived from evoked neural activities are disclosed. A system comprises an electrostimulator to deliver a stimulation therapy, a sensing circuit to sense an evoked response induced by the stimulation therapy, and a controller circuit to identify, from a plurality of candidate signal features, a target signal feature that satisfies a performance criterion for distinguishing a first stimulation effect according to a first stimulation setting from a second stimulation effect according to a different second stimulation setting. The target signal feature can be identified based on evaluations of a discrimination metric for each of the candidate signal features. The controller circuit can determine a value of the target signal feature from the sensed evoked response, and control the electrostimulator to adjust the stimulation therapy based on the value of the target signal feature.

Abstract: A system may include a first device and a second device. The first device may be configured to send advertising packets with a request to communicate with the second device, and the second device may be configured to discover the first device and initiate a wireless communication session with the first device using the advertising packets. The first device may be configured to send advertising packets and send a request to communicate with the second device, and the second device may be configured to discover the first device and initiate a wireless communication session with the first device using the advertising packets.

Abstract: This document discusses a computer-implemented method of calibration of an implantable neurostimulation device. The method includes sensing one or more symptoms of a neurological condition of a subject using a sensor external to the neurostimulation device; delivering neurostimulation to the subject using the neurostimulation device and adjusting neurostimulation parameters based on the sensed symptom; sensing one or more neural response signals resulting from the neurostimulation using a sensor of the neurostimulation device; correlating the sensed symptom with the one or more sensed neural response signals; determining a target neural response using the correlating; and recurrently adjusting the neurostimulation parameters according to a comparison of subsequently sensed neural response signals to the target neural response signal.

Abstract: Electrical stimulation systems and methods for operation of the electrical stimulation system are described. The method includes directing electrical stimulation through the electrodes of the lead and monitoring movements of a hand positioned over an implantation site of an implantable control module of the electrical stimulation system using an accelerometer coupled to a processor of the implantable control module. Another method includes detecting, by a sensor, a plurality of taps of a body region of a patient over an implantation site of the implantable control module, identifying, by the processor of the implantable control module, an indicator, trigger, or marker based on the detected tapping, and performing an activity corresponding to the identified indicator, trigger, or marker.

Abstract: An example of a neurostimulation system may include a stimulation output circuit to deliver neurostimulation to evoke responses from a patient using an evoking configuration, a sensing input circuit to sense one or more signals including the evoked responses using a recording configuration, and a control circuit. The control circuit may be configured to control the delivery of the neurostimulation using stimulation parameters including the evoking configuration, to control the sensing of the evoked responses using sensing parameters including the recording configuration, and to determine an evoking-recording parameter set by evaluating a sequence of evoking-recording parameter sets. The evoking-recording parameter set may include a set of the stimulation parameters suitable for controlling the stimulation output circuit to deliver the neurostimulation to evoke a target response and a set of the sensing parameters suitable for controlling the sensing input circuit to record the evoked target response.

Abstract: A method for estimating neural activation arising from stimulation by a stimulation system includes identifying different neural elements stimulated by the stimulation; obtaining a neural response signal resulting from the stimulation by the stimulation system; and decomposing the neural response signal to estimate neural activation of each of the different neural elements.

Abstract: A system may include a stimulator, sensing circuitry and a controller. The stimulator may be configured to deliver an electrical therapy using at least one electrode by delivering an electrical waveform according to waveform parameters. The sensing circuitry may be configured to sense electrical potentials. A controller may be configured to detect at least one feature in the sensed electrical potentials, provide closed-loop control of the stimulator using a control algorithm and the detected at least one feature as an input into the control algorithm, determine whether the detected at least one feature is anomalous with respect to the feature data used to determine the one or more relationships, and perform remedial action when it is determined that the at least one feature is anomalous with respect to the feature data.

Abstract: An example method for delivering neurostimulation energy may include performing a training procedure by delivering the neurostimulation energy to a neural target of the patient when the patient is at one or more postures. Electrical activity is sensed from the spinal cord, such as an electrospinogram (ESG). A relationship is determined between the sensed electrical activity and neurostimulation intensity that reduces influence of noise in the sensed electrical activity caused by dynamically changing posture of the patient using mathematical or statistical modeling of the extracted features. Stimulation parameters are modulated according to the determined relationship.

Abstract: An example of a system for delivering a therapy may include a therapy output device to deliver the therapy and a therapy control circuit to control the delivery of the therapy using sensed therapy-control signals. The therapy control circuit may include a therapy controller to control the delivery of the therapy using therapy parameters, a therapy parameter adjuster to adjust the therapy parameters using one or more sensed input parameters, a physical state detector to detect a physical state of the patient using one or more physical signals of the sensed therapy-control signals, a measurement system to measure one or more signals of the sensed therapy-control signals at a sensing update rate and to produce the one or more sensed input parameters based on the measurement, and an update rate adjuster to adjust the sensing update rate based on one or more rate-adjusting parameters including the detected physical state.

Abstract: Methods and systems for making adjustments to electrical stimulation based on patient-specific factors can includes the following instructions or actions: receiving information regarding at least one of i) electrical response of patient tissue, ii) patient response to stimulation, or iii) an arrangement of the implanted lead or the electrodes of the implanted lead with respect to patient anatomy; and calculating an electrode weight for each of a plurality of the electrodes of the implanted lead based on the received information.

Abstract: A method for managing the exchange of information is provided, wherein the method includes receiving at least one information location identifier, wherein the at least one information location identifier may be associated with at least one information portal and associating with at least one network browser. The method further includes generating an information location identifier template responsive to the at least one information portal and communicating with the at least one information portal to identify resultant information.