Catalyst Awardee

Project Description

Combination of Ear-EEG and Masking in Earphone for tinnitus improvement


Yi-Chun Du, PhD | National Cheng Kung University, Department of Biomedical Engineering; Ching-Feng Liu, PhD , Yi-Lu Li
Competition Sponsor: Academia Sinica
Awardee Year: 2022

To improve patients’ tinnitus situation, our team is honored to introduce our project with the ear-EEG to automatically generate suitable masking sound for tinnitus treatment. In the meanwhile, using Artificial Intelligence (AI) method to analysis the type of the tinnitus (pulsatile or non-pulsatile). Our research has highlighted the potential of the measured ear-EEG signal through the earphone and the AI method to identify tinnitus type. This device is promised to be used in daily life, especially for the elder with the high accuracy for detecting tinnitus and giving the patient suitable and direct treatment to overcome the bad impact from tinnitus bring to. This project will contribute with high-quality evidence on the effectiveness of assistive technology in supporting people with tinnitus to help them overcome a discomfort feeling, gain concentration, and have a balanced performance in daily life. Also could avoid the potential risk from pulsatile tinnitus. This study will establish the clinical trial focus groups in Taiwan with 50 participants to use ear-EEG devices and get tinnitus masker treatment. Our product will illustrate improved tinnitus state and the patient’s mood which means that it could reduce patients’ anxiety and stress for homecare. At the same time, we are towards a wearable device with a small size so the patient could bring it along whenever. We do hope it will be an essential assistant for tinnitus patients.


To learn more about this proposal, email

Sign up for updates