Cochlear Limited

Joerg Pesch

Paul Michael Carter

Benjamin Peter Johnston

Andrea Lam

Shaun Ashwin Kumar

Stuart John Kay

John Louis Parker

Zachary Mark Smith

James Finlay Patrick

Christopher Joseph Long

Matthijs Killian

Andreas Buechner

Marc Majoral

Bastiaan Van Dijk

Ernst Ludwig Von Wallenberg

Bas Van Dijk

Ernst Von Wallenberg

Presented herein are techniques for monitoring the physical state of a stimulating assembly to, for example, detect the occurrence of an adverse event. More specifically, an elongate stimulating assembly comprising a plurality of longitudinally spaced contacts is at least partially implanted into a recipient. Electrical measurements are performed at one or more of the plurality of contacts and the electrical measurements are evaluated relative to one another to determine the physical state of the stimulating assembly.

Event detection in an implantable auditory prosthesis

A method including reducing a stimulation artifact of an implantable stimulator including a plurality of stimulating electrodes by obtaining respective information on respective artifact voltages at a first location resulting from stimulation by one electrode group or respective electrode groups of the implanted stimulator and determining an adjustment regime based on the obtained information that results in a reduction of the stimulation artifact at the first location relative to that which would be the case in the absence of the regime.

Stimulation management

An embodiment of the present invention takes masking effects into consideration when determining stimulation signals for neural stimulation. These masking effects may be modeled using user-specific models determined by taking measurements for an implant system of an implant recipient. Or, the model may correspond to a group of individuals sharing a common characteristic or the population as a whole. These models may be, for example, psycho-physical models.

Determining stimulation signals for neural stimulation

An embodiment of the present invention takes masking effects into consideration when determining stimulations signals for neural stimulation. These masking effects may be modeled using user-specific models determined by taking measurements for an implant system of an implant recipient. Or, the model may correspond to a group of individuals sharing a common characteristic or the population as a whole. These models may be, for example, psycho-physical or electrophysiological models.

Compressed neural coding

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Mechelen, Belgium

Joerg Pesch