ESR4 – Fitting, machine learning and Cochlear Implants
Host: Cochlear Ltd.
Adapting the fitting process of cochlear implants through the use of machine learning techniques, aiming to improve performance on recipients, reduce the work load on audiologists, and allow identification of performance barriers caused by suboptimal fitting.
Enrico comes from Florence, Italy. He developed a keen interest in neuroprosthetics in his teens after a family member received a cochlear implant. Since then, he’s been driven by a desire to push boundaries in human-computer integration. His interdisciplinary interest in brain interfaces is what led him to join the MOSAICS project.
Enrico holds a Bachelor’s Degree in Computer Engineering from the University of Florence (2016), with a thesis on neural network resilience to MPEG compression, and a Master’s Degree from the Polytechnic University of Milan (2019), with a thesis on the usage of Virtual Reality for evaluation of retinal neuroprostheses.
ESR4 in the MOSAICS news
MOSAICS comes to a close paving the way for continued quality of life improvements for cochlear implant recipients
The end of September 2023 also marked the official end of the MOSAICS project, funded by the European Commission as the Marie Skłodowska-Curie European Industrial Doctorate (EID). With the key aim of improving the quality of life of cochlear implant (CI) recipients, the results of the MOSAICS project are set to pave the way for their uptake into further research and development of product, diagnostic and care improvements for cochlear implant users.
- Migliorini, E., van Dijk, B., Philips, B. et al. The relation between cochlear implant programming levels and speech perception performance in post-lingually deafened adults: a data-driven approach. Eur Arch Otorhinolaryngol (2023). https://doi.org/10.1007/s00405-023-08195-3
- Auditory Diagnostics and Error-based Treatment: working towards a performance-driven fitting paradigm, Enrico Migliorini, Nikki Philpott, Jan-Willem Wasmann, Bas van Dijk, Birgit Philips, Emmanuel Mylanus, Wendy Huinck, oral presentation at the 11th International Symposium on Objective measures in auditory implants (OMAI2023), 25-28 September 2023.
- AuDiET: Auditory Diagnostics and Error based Treatment – Towards performance based fitting, Enrico Migliorini, Nikki Philpott, Jan-Willem Wasmann, Bas van Dijk, Birgit Philips, Emmanuel Mylanus, Wendy Huinck, poster presentation at the 2023 Conference on Implantable Auditory Prostheses (CIAP), 9-14 July 2023.