Cochlear Limited

Matthijs Killian

Bastiaan Van Dijk

Andrew Botros

John Louis Parker

James Finlay Patrick

Joerg Pesch

Marc Majoral

Ernst Von Wallenberg

Andreas Buechner

Christopher John James

Ernst Ludwig Von Wallenberg

Ibrahim Bouchataoui

Bas Van Dijk

Guido F Smoorenburg

Mark Majoral

Techniques for automatically analyzing neural activity within a target neural region. In one example, electrical stimulation is applied to the target neural region at an initial current level that approximates a typical threshold-Neural Response Telemetry (NRT) level. An NRT measurement of neural activity within the target neural region in response to the stimulation is recorded. A machine-learned expert system, which is configured with a decision tree that includes at least two levels of nodes which consider parameters relating to the NRT measurement, respectively, is utilized to predict, based on one or more features of the neural activity, whether the NRT measurement includes a neural response or does not include a neural response.

Automatic determination of the threshold of an evoked neural response

Automatically analyzing neural activity. The method comprises: applying electrical stimulation to a target neural region at an initial current level that approximates a typical threshold-Neural Response Telemetry (NRT) level; recording an NRT measurement of neural activity within the target neural region in response to the stimulation; and utilizing a machine-learned expert system to predict, based on one or more features of the neural activity, whether the NRT measurement contains a neural response.

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

A bimodal hearing prosthesis configured to deliver electrical and acoustic stimulation to a recipient such that a frequency range of a received sound that is represented by the electrical stimulation is perceived simultaneously with the frequency range of the received sound that is represented by the acoustic stimulation.

Simultaneous delivery of electrical and acoustical stimulation in a hearing prosthesis

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

A method for stimulating nerve or tissue fibers and a prosthetic hearing device implanting same. The method comprises: generating a stimulation signal comprising a plurality of pulse bursts each comprising a plurality of pulses; and distributing said plurality of pulse bursts across one or more electrodes each operatively coupled to nerve or tissue fibers such that each of said plurality of pulse bursts delivers a charge to said nerve or tissue fibers to cause dispersed firing in said nerve or tissue fibers.

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Mechelen, Belgium

Matthijs Killian