Periodic Reporting for period 3 - ISIFit (Individualised and self-adapting sound processing for cochlear implants)
Reporting period: 2018-11-01 to 2020-04-30
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.
We extended this objective measure to cochlear implants by developing a method to remove cochlear implant artefacts from the EEG signal. Using this method, we could successfully show the efficacy of the objective measure of speech intelligibility with cochlear implant listeners.