Abstract: A cable for an electrical stimulation system includes a connector body defining a connector lumen; connector contacts disposed or disposable along the connector lumen for electrically coupling to terminals of an electrical stimulation lead or lead extension wherein the connector contacts include first connector contacts and at least one second connector contact; a stimulator cord for coupling to a stimulator and including stimulator contacts disposed along an end portion, wherein the stimulation contacts are electrically coupled to the first connector contacts, but not to any of the at least one second connector contact; and one or more sensor cords n for coupling to an amplifier or signal acquisition unit, an end portion of each of the one or more sensor cords including a connector electrically coupled to at least one of the at least one second connector contact when the sensor cord is coupled to the connector body.

Abstract: A system for stimulating a nerve includes a control module and a cuff lead with electrodes. The control module includes stimulation circuitry, a memory, and a processor configured to direct the stimulation circuitry to deliver a macroburst to the cuff lead for stimulation using the electrodes. The macroburst includes multiple microbursts. Each microburst includes pulses arranged in a temporal sequence. Each pulse has a pulse width of no more than 100 ?s and a total amplitude of no more than 100 ?A. A system for mapping a nerve can include a processor for directing the control module to deliver stimulation pulses according to at least one nerve mapping paradigm that includes a temporal sequence of pulses; associating stimulation effects with the electrodes of the cuff lead based on the temporal sequence; and mapping the electrodes to one or more axons, fascicles, nerve fibers, tracts of the nerve, or peripheral organs.

Abstract: A method or actions performed by a processor of a system includes displaying a representation of multiple tracts, fibers, nerve bundles, modulation targets, or symptoms, and a representation of electrodes of a cuff lead; in response to selection of at least one of the electrodes, displaying an indication of which tracts, fibers, or nerve bundles can be activated or which modulation targets or symptoms can be affected, using the at least one selected electrode; in response to selection of one of the tracts, fibers, nerve bundles, modulation targets, or symptoms, displaying an indication of at least one of the electrodes for activating the selected tract, fiber, or nerve bundle or for affecting the selected modulation target or symptom; and, optionally, programming a stimulator to stimulate the nerve using the at least one selected electrode or the at least one indicated electrode.

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: A cuff lead can include securing rings disposed along the first and second edges of a cuff body and an elongate securing body for insertion through the interleaved securing rings to hold the securing rings of the first and second edge in an interleaved configuration. A cuff lead can include a slot portion disposed along a first edge of a cuff body, the slot portion defining an opening, and a tab disposed along a second edge of the cuff body for securing the cuff lead to a nerve. A cuff lead can include two cuff body pieces engaging each other to form a hinge for moving between an open position for receiving a nerve and closed position. A cuff lead can include a tunnel extending through a cuff body and an elongate body for insertion through the tunnel.

Abstract: An example of a system for delivering neurostimulation to a patient and controlling the delivery of neurostimulation using sensors may include a stimulation output circuit, a sensing circuit, and a control circuit. The stimulation output circuit may be configured to deliver the neurostimulation. The sensing circuit may be configured to receive sensed signals from the sensors and to process the sensed signals. The sensing circuit has adjustable settings controlling the processing of the sensed signals. The control circuit may be configured to control the delivery of the neurostimulation using the processed sensed signals and to control the settings of the sensing circuit according to a sequence of sensing blocks each including a set of sensing parameters.

Abstract: An example of a system for delivering neurostimulation to a patient and controlling the delivery of neurostimulation using sensors may include a stimulation output circuit, a sensing circuit, and a control circuit. The stimulation output circuit may be configured to deliver the neurostimulation. The sensing circuit may be configured to receive sensed signals from the sensors and to process the sensed signals. The sensing circuit has adjustable settings controlling the processing of the sensed signals. The control circuit may be configured to control the delivery of the neurostimulation using the processed sensed signals and to control the settings of the sensing circuit according to a sequence of sensing blocks each including a set of sensing parameters.

Abstract: A method for automating selection of stimulation parameters for a stimulation device implanted in a patient includes setting, by a user, at least one limit on each of at least one stimulation parameter and performing, automatically using at least one processor, the following actions for each of a plurality of sets of the stimulation parameters constrained by the at least one limit: stimulating the patient, by the stimulation device, using the set of stimulation parameters, sensing one or more effects arising in response to the stimulation, and updating, by the at least one processor, a collection of the effects and sets of stimulation parameters with the one or more effects and the set of stimulation parameters. The method further includes selecting, by the processor, one of the sets of stimulation parameters based on the effects.

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: 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: Systems and methods for programming a neuromodulation therapy to a neuromodulation device are disclosed. An exemplary system comprises an electrostimulator and a programmer device operable by a user to program the electrostimulator. The programmer device includes a user interface and a controller circuit. The controller circuit collects user commands and contextual information, including a sequence of programming instructions received from the user during a programming session. The controller circuit determines a programming quality indicator using the user commands and contextual information, and generates an individualized programming workflow to guide the user to test and program a therapy setting. The electrostimulator can deliver a neuromodulation therapy in accordance with the user programmed therapy setting.

Abstract: Methods and systems for closed loop feedback control of electrical neuromodulation are described. Closed loop feedback control is based on sensed electrical potentials, which are used as reference control variables in a feedback control algorithm to adjust the electrical stimulation based on one or more control algorithm parameters. The performance of the closed loop feedback control algorithm may be evaluated, and the feedback algorithm may be adjusted based on its performance. In some instances, the feedback algorithm may be adjusted based on an indication state of the patient.

Abstract: Techniques for determining baseline voltages to assess sensed neural responses or other sensed signals in an implantable stimulator device are disclosed, which allows features of the neural responses or other signals to be more easily and reliably established. Features of the neural response, indicative of the AC characteristics of the responses, may be used to control or monitoring stimulation in the device, and certain features may vary with a DC offset voltage in the tissue. The determined baseline voltages compensate for such DC offset voltages, and therefore allow certain AC features of the neural response to be determined more accurately and meaningfully.

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: A system may include a therapy device configured to deliver a therapy to a patient, a feature detector, and a feature selection controller. The therapy device may include sensing circuitry configured to sense a biological signal from the patient, and a closed-loop controller operably connected to the therapy device and the sensing circuitry. The controller may be configured to implement a feedback control algorithm to control the delivered therapy based on the sensed signal by controlling at least one therapy parameter. The feature detector may be configured to detect a plurality of available features of the biological signal. The feature selection controller may be configured to implement a feature selection algorithm to determine closed-loop sensed feature(s) from the plurality of available features. The feedback control algorithm may be configured to use the at least one closed-loop sensed feature to control the therapy parameter(s).

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: 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: A system may include a stimulator, sensing circuitry and a controller. The stimulator may be operably connected to at least one stimulation electrode, and configured to deliver an electrical waveform for an electrical therapy using the at least one stimulation electrode. The sensing circuitry may be operably connected to at least one sensing electrode, and configured to sense electrical potentials that are evoked by the electrical waveform to provide sensed evoked signals. The controller may be operably connected to the stimulator and the sensing circuitry. The controller may be configured to automatically define a sampling window, sample the sensed evoked potentials during the sampling window to provide sampled values, detect at least one feature from the sampled values, and automatically provide feedback for closed-loop control of the electrical therapy based on the at least one feature.

Abstract: An example of a system for delivering neurostimulation to a patient and controlling the delivery of neurostimulation using sensors may include a stimulation output circuit, a sensing circuit, and a control circuit. The stimulation output circuit may be configured to deliver the neurostimulation. The sensing circuit may be configured to receive sensed signals from the sensors and to process the sensed signals. The sensing circuit has adjustable settings controlling the processing of the sensed signals. The control circuit may be configured to control the delivery of the neurostimulation using the processed sensed signals and to control the settings of the sensing circuit according to a sequence of sensing blocks each including a set of sensing parameters.

Abstract: A method for automating selection of stimulation parameters for a stimulation device implanted in a patient includes setting, by a user, at least one limit on each of at least one stimulation parameter and performing, automatically using at least one processor, the following actions for each of a plurality of sets of the stimulation parameters constrained by the at least one limit: stimulating the patient, by the stimulation device, using the set of stimulation parameters, sensing one or more effects arising in response to the stimulation, and updating, by the at least one processor, a collection of the effects and sets of stimulation parameters with the one or more effects and the set of stimulation parameters. The method further includes selecting, by the processor, one of the sets of stimulation parameters based on the effects.