Project description
Improving spatial hearing for cochlear implant users
Deafness caused by the loss of inner hair cells in the cochlea remains a significant challenge. Cochlear implants have been a breakthrough in restoring hearing since their first trial in 1957, but there are still gaps in their effectiveness. Spatial hearing, crucial for attention, speech understanding, and navigating noisy environments, has been largely overlooked in current implant designs. Additionally, there is a lack of comprehensive rehabilitation programmes for users. Supported by the Marie Skłodowska-Curie Actions programme, the CherISH project aims to integrate machine learning, physiological research, and patient-centred training. It brings together experts in medicine, psychology, and engineering to improve the hearing experience for users through virtual environments, spatial cues, and binaural input matching.
Objective
The loss of inner hair cells in the cochlea causes deafness. Since the first trial of a cochlear implant in 1957, cochlear implants have been developed to the point where they can (re-)restore hearing and speech understanding in a large proportion of patients. Although spatial hearing is central to controlling and directing attention and to enabling speech understanding in noisy environments it has been largely neglected. In current implants, matching of binaural information, a basic prerequisite for spatial hearing, is not yet implemented. Furthermore, intensive rehabilitation programs are lacking. The here proposed interdisciplinary doctoral network in which physicians, psychologists and engineers collaborate, aims at the improvement of spatial hearing in cochlear implant users. In ten different interconnected projects spatial hearing will be improved by (1) applying machine learning algorithms to identify sounds sources and to provide the information to CI users through visual or tactile spatial cues, (2) examining physiological impairments of spatial hearing in CI users and matching the imbalance of the binaural inputs, and by (3) patient-centered training programs that make use of virtual environments. The doctoral training network will provide the next generation of researchers and engineers that will have a good understanding of the multifaceted problems of spatial hearing and that will be equipped with expertise and skills to come up with innovative solutions in this field. The collaboration between academia and the private sector enables the realisation of new solutions for spatial hearing with CIs, thus enabling deaf patients to substantially improve their hearing.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinator
72074 Tuebingen
Germany