Abstract: An implantable device comprising: stimulus electrodes and measurement electrodes; a stimulus source to provide a neural stimulus to be delivered to a neural pathway of a patient to evoke a neural response; measurement circuitry configured to capture a signal window sensed on the neural pathway; and a control unit configured to implement closed-loop neurostimulation therapy by: controlling the stimulus source to provide the neural stimulus according to a stimulus intensity parameter; measuring a characteristic of the signal window; computing a feedback variable from an intensity of an evoked neural response in the signal window; adjusting the stimulus intensity parameter using the feedback variable; and repeating the controlling, measuring, computing, and adjusting to maintain the feedback variable at a target, thereby obtaining multiple measured intensities of neural responses; and computing one or more quantitative indicators of efficacy of the closed-loop neurostimulation therapy using the measured characte

Abstract: There is provided a method and implantable device for controlling a neural stimulus, the neural stimulus being defined by an artefact mitigation status. The method comprises generating a first neural stimulus for delivery to neural tissue, sensing a first signal subsequent to the first neural stimulus, generating a second neural stimulus for delivery to the neural tissue, and sensing a second signal subsequent to the second neural stimulus. The method further comprises determining an artefact mitigation measure (AMM) effect level based on the first sensed signal and the second sensed signal, and setting, in response to comparing the AMM effect level with an AMM effect threshold, the artefact mitigation status of a third neural stimulus to active.

Abstract: An implantable device for delivering closed-loop neural stimulation therapy. The device comprises: a plurality of electrodes; a stimulus source to provide neural stimuli via the electrodes to a neural pathway; measurement circuitry to process signals sensed at the electrodes; and a control unit. The control unit is configured to: control the stimulus source to provide a first neural stimulus according to a first stimulus parameter; measure an intensity of a neural response evoked by the first stimulus; compute a feedback variable from the neural response; adjust the first stimulus parameter; repeat the control, measure, compute and adjust to maintain the feedback variable at a target response intensity; control the stimulus source to provide, interleaved with the first neural stimuli, a plurality of second neural stimuli according to respective second stimulus parameters; and monitor the therapy by analysing the sensed signals subsequent to each second neural stimulus.

Abstract: Disclosed is a method of computing a probability distribution of the suitability of measurement electrode configurations for a neuromodulation device. The method comprises: computing the probability distribution of suitability of measurement electrode configurations from: a predetermined stimulus program vector of the neuromodulation device; and prior patient data. Also disclosed is an automated method of setting a measurement electrode configuration for a neuromodulation device configured to deliver a neural stimulus to a neural pathway of a patient.

Abstract: Disclosed is a neurostimulation system comprising an implantable device for controllably delivering a neural stimulus, and a processor. Signals evoked by a stimulus are sensed at each pair of sense electrodes, each sensed signal including a differential evoked compound action potential (ECAP) evoked by the delivered neural stimulus. The differential ECAP is decomposed in each sensed signal into a first single-ended ECAP corresponding to one sense electrode of the pair of sense electrodes and a second single-ended ECAP corresponding to the other sense electrode of the pair of sense electrodes. ECAP propagation model parameters are determined from the first single-ended ECAP model and the second single-ended ECAP model and from distances of the respective sense electrodes from the stimulus electrode configuration. An indication may be given to a user if one of the one or more ECAP propagation model parameters departs from a predetermined range.

Abstract: Disclosed is a neuromodulation system comprising a neuromodulation device for controllably delivering a neural stimulus, and a processor.

Abstract: Disclosed is a method of adapting the operation of an implantable device for delivering neurostimulation therapy to a patient. The method comprises: delivering the neurostimulation therapy to electrically excitable tissue of the patient according to at least one therapy parameter; measuring a physiological characteristic of the patient; adjusting the at least one therapy parameter according to a schedule of adjustment and the measured physiological characteristic; and repeating the delivering, measuring, and adjusting.

Abstract: Separating a compound action potential from an artefact in a neural recording. A memory stores a set of basis functions comprising at least one compound action potential basis function and at least one artefact basis function. A neural recording of electrical activity in neural tissue is decomposed by determining at least one of a compound action potential and an artefact from the set of basis functions. An estimate is output of at least one of a compound action potential and an artefact.

Abstract: The present disclosure provides a computer-implemented method for representing intensity levels indicative of a first type of sense of a subject (150) by parameter values for a different second type of sense of the subject (150). The method comprises determining (210) a first parameter value for the second type of sense representing a first intensity level indicative of the first type of sense; and determining (220) a second parameter value for the second type of sense representing a second intensity level indicative of the first type of sense with reference to the first parameter value, wherein the first parameter value differs from the second parameter value by at least one Just-Noticeable-Difference (JND) of the second type of sense of the subject (150).

Abstract: The present disclosure provides a computer-implemented method for representing intensity levels indicative of a first type of sense of a subject (150) by parameter values for a different second type of sense of the subject (150). The method comprises determining (210) a first parameter value for the second type of sense representing a first intensity level indicative of the first type of sense; and determining (220) a second parameter value for the second type of sense representing a second intensity level indicative of the first type of sense with reference to the first parameter value, wherein the first parameter value differs from the second parameter value by at least one Just-Noticeable-Difference (JND) of the second type of sense of the subject (150).