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Dual-stage algorithm to identify channels with poor electrode-to-neuron interface in cochlear implant users
Conference proceeding

Dual-stage algorithm to identify channels with poor electrode-to-neuron interface in cochlear implant users

Stefano Cosentino, Lindsay De Vries, Rachel Scheperle, Julie Bierer, Robert Carlyon and IEEE
Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998), Vol.2016-, pp.834-838
03/01/2016
DOI: 10.1109/ICASSP.2016.7471792

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Abstract

Users of cochlear implants rely on a number of electrodes to perceive acoustic information. The extent to which their hearing is restored depends on a number of factors including the electrode-to-neuron interface. We describe an approach to detect instances of poor-performing channels based on physiological data known as electrically evoked compound action potentials (ECAPs). The proposed approach - termed Panoramic ECAP ("PECAP") - combines nonlinear optimization stages with different constraints to recover neural activation patterns for all electrodes. Data were obtained from nine cochlear implant subjects and used to run the PECAP tool to identify possible instances of poor-performing channels. Data from one subject revealed a shifted peak ("dead region").
Auditory system Biomedical signals Cochlear Implant Decision support systems Diagnostic tool Ear ECAP Electrode-to-Neuron interface Genetics Indexes Research and development Surgery

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