Individualised and self-adapting sound processing for cochlear implants Prof. Dr. Tom Francart ExpORL, Dept. Neurosciences, KU Leuven 3 December 2014
ISIFit - ERC Starting Grant Problem definition • CI Sound processor: sound → series of electrical pulses – Different strategies – Many parameters, ideally set individually • Fitting of parameters – By highly trained audiologist – Time consuming: minimal number of parameters is fitted individually • Consequences – Speech intelligibility not optimal – Problem to cope with increasing number of implantees 2 / 7
ISIFit - ERC Starting Grant Current situation - fitting session • Fitting session – By highly trained audiologist – Limited number of fitting parameters (threshold and comfortable stimulation levels for each electrode) – Infrequently (yearly) 3 / 7
ISIFit - ERC Starting Grant Current situation - daily operation • Daily operation – No audiologist present – Open-loop system 4 / 7
ISIFit - ERC Starting Grant ERC project proposal: closed-loop CI • Closed-loop CI that automatically adapts to an individual patient using measurements of brain activity from implanted electrodes – Better individualisation → Improved speech intelligibility – Automatic → Reduced workload in clinic 5 / 7
ISIFit - ERC Starting Grant Unique aspects Perfect control over the stimulus and signal processing Electrical Engineering Multidisciplinary Audiology Neuroscience Evaluation with normal-hearing and Combine neuroscience with models hearing-impaired test subjects using of the auditory periphery well-defined audiological measures 6 / 7
ISIFit - ERC Starting Grant Societal significance • Improved fitting → Improved speech intelligibilitiy → Improved communication → Improved quality of life • Improved time efficiency in clinic → More time for other revalidation aspects → Time to follow-up more patients 7 / 7
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