Project description
Improving fine-tuning of sound processing for cochlear implants
Cochlear implants (CIs) are auditory prostheses that restore hearing through electrical stimulation of the auditory nerve for people with a hearing impairment. CIs convert sound signals into a sequence of electrical pulses which should be fine-tuned for each individual patient. The goal of the ERC-funded ISIFit project is to enable better fitting by developing closed-loop CIs with automatic adjustment based on the neural response to speech. The objectives include the evaluation of speech understanding by recording the electroencephalogram (EEG) in response to speech signals, automatically fine-tuning an array of sound processing parameters using a genetic algorithm, and developing a wearable closed-loop CI to record the EEG and adjust the fitting in real-time in real-life conditions.
Objective
Cochlear implants (CIs) are successful auditory prostheses that enable people with deafness to hear through electrical stimulation of the auditory nerve. In a CI sound processor, a sound signal is converted into a sequence of electrical pulses. This conversion entails many parameters that should ideally be fine-tuned (fitted) for every individual patient, to account for various anatomical and physiological differences. In current clinical practice, devices are fitted during the initial rehabilitation and yearly thereafter. As fitting is very time consuming, only the bare minimum number of parameters is fitted individually. However, for many other parameters, for which currently the same default values are used for all patients, better speech understanding can be achieved with individual fitting. Apart from the fitting, CIs do not take into account the neural or perceptual effects of stimulation.
The objective of this project is to provide better fitting to individual patients by developing a closed-loop CI that automatically adjusts its fitting and sound processing based on the neural response to speech. To achieve this, we will (1) objectively measure speech understanding, by recording the electroencephalogram (EEG) in response to ecological speech signals, (2) automatically fit a wide array of sound processing parameters accordingly using a genetic algorithm, and (3) develop a wearable closed-loop CI that continuously records the EEG and adjusts the fitting in real-life situations.
This will lead to a better understanding of speech perception of people with a hearing impairment, an objective measure of speech intelligibility with many applications in diagnostics, a method to automatically fit CIs, and a novel closed-loop CI. For the patient this means improved speech intelligibility in noise and therefore better communication and quality of life. For the clinic this means improved efficiency and the ability to better fit devices.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- medical and health sciences clinical medicine otorhinolaryngology
- medical and health sciences medical biotechnology implants
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2014-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
3000 LEUVEN
Belgium
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.