Development of a tinnitus-monitoring earplug
Over 20 million people struggle with chronic tinnitus, many of whom deal with debilitating and extreme cases. To better understand such a widespread condition, a smart occluding intra-aural device capable of capturing biological signals and allowing for auditory transparency is used. With such a device the affects of tinnitus on the emotional health of individuals suffering from it can be better understood and eventually dealt with. This ambitious project involves the development of a well performing algorithm capable of denoising the biological signals when the device is in transparency mode.
Maîtrise (avec projet ou mémoire) et doctorat
Programme d'études visé
Maîtrise avec projet, Maîtrise avec mémoire, Doctorat
Domaines de recherche
Technologies de l'information et des communications, Santé
This position is fully funded for 2 years through an FRSCQ-Audace grant.
Starting: October 2019
Partners involves Université de Montréal, EERS Global Technologies Inc, NSERC-EERS Industrial Research Chair in In-Ear Technologies (CRITIAS), FRQNT Audace
We are seeking a Master’s student interested and skilled in Signal Processing and Machine Learning that could take on this ambitious project.
Conformity :Human participants