Saluda Medical Pty Limited

Daniel John Parker

Dean Michael Karantonis

John Louis Parker

Peter Scott Vallack Single

Kai Huang

Samuel Nicholas Gilbert

Matthew Marlon Williams

Ian Cameron Gould

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. Or, originating ECAP model parameters may be determined from the first single-ended ECAP model and from the distance of the corresponding sense electrode from the stimulus electrode configuration. Parameters of a model of a differential ECAP at a second pair of sense electrodes may be computed; and an optimal combination of parameters for a parametric ECAP detector at the second pair of sense electrodes may be computed from the parameters of the model of the differential ECAP.

Measurement of neural responses to neurostimulation

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. The method comprises: obtaining an initial measurement electrode configuration for a predetermined stimulus program vector from a prior probability distribution of suitability of measurement electrode configurations; delivering a plurality of neural stimuli of different stimulus intensities to the neural pathway according to the stimulus program vector; measuring intensities of neural responses evoked by the neural stimuli using a current measurement electrode configuration; computing one or more quality measures of the evoked neural responses using the measured neural response intensities and the respective stimulus intensities; refining the probability distribution of suitability of measurement electrode configurations using the one or more quality measures; and obtaining a new measurement electrode configuration for the predetermined stimulus program vector using the refined probability distribution of suitability of measurement electrode configurations.

Programming of neural stimulation therapy

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.

Adaptation of neurostimulation therapy to age-related physiological changes

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Artarmon, Australia

Daniel John Parker