Cochlear Limited

Kieran Reed

Stephen Fung

Alex Von Brasch

John Michael Heasman

Alexander Von Brasch

Stefan Jozef Mauger

Kerrie Plant

Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

Perception change-based adjustments in hearing prostheses

A method, including capturing first sound with a hearing prosthesis, classifying the first sound using the hearing prosthesis according to a first feature regime, capturing second sound with the hearing prosthesis, and classifying the second sound using the hearing prosthesis according to a second feature regime different from the first feature regime.

Advanced scene classification for prosthesis

A method, including the actions of obtaining access to a virtual reality system; activating a cochlear implant such that the cochlear implant evokes a hearing percept based on first input; and receiving second input from the virtual reality system in temporal proximity with the evocation of the hearing percept based on the first input, wherein the cochlear implant evokes a hearing percept based on the first input, and the second input is correlated with the first input.

Advanced artificial sound hearing training

A body worn or implantable hearing prosthesis, including a device configured to capture an audio environment of a recipient and evoke a hearing percept based at least in part on the captured audio environment, wherein the hearing prosthesis is configured to identify, based on the captured audio environment, one or more biomarkers present in the audio environment indicative of the recipient's ability to hear.

Utilization of vocal acoustic biomarkers for assistive listening device utilization

A method, including obtaining hearing data and speech data for a statistically significant number of individuals, and analyzing the obtained hearing data and speech data using a neural network to develop a predictive algorithm for hearing loss based on the results of the analysis, wherein the predictive algorithm predicts hearing loss based on input indicative of speech of a hearing impaired person who is not one of the individuals.

Speech production and the management/prediction of hearing loss

Presented herein are techniques for increasing the user experience of implantable hearing prostheses through improvements in post-implantation clinical care.

Growing community of inventors

Macquarie University, Australia

Kieran Reed