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Grant: Alliance Grants

Queen's University

$300,000.00

Nanomaterials Based Dry Electroencephalography Electrodes for Auditory Attention Decoding in Hearing Assistance Devices

EF 2021-22

Résumé
This project aims to form a collaboration between Queen's University with AAVAA Inc.AAVAA Inc. is developing hearing aids with capability of attention detection decoding by recording and analyzing brain waves. The brain waves are recorded non-invasively through the skin around the ear and within the ear canal. The system analyzes recorded brain waves known as electroencephalograms using Advanced Audio Signal Processing and Artificial Intelligence (AI) algorithm, developed by AAVAA, and focuses on and amplifies the sound that the user wishes to attend to without relying on any manual intervention.One of the main components of this system contributing to recording electroencephalography signals (brain waves) is its electrodes. Electrodes are interfaces between the system and skin.The goal of this project is to develop dry soft sensors that can form stable and conformal contact to the skin around the ear and within the ear canal for reliable long-term recording of brain waves. Our goal is to address one of the main challenges in the field of biosignals recording using dry electrodes which is minimizing and avoiding motion artifacts and reducing skin-electrode interface impedance.We aim to achieve this goal through utilizing novel materials such as nanomaterials and innovative engineering design.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
570743-2021
Name nom
Kabiri Ameri Abootorabi, Shideh
Department département
Electrical and Computer Engineering
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2021
Award amount
300000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2515
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electronic materials and components
Research subject fr
Matériels et composants électroniques
Installment
inst:1; 2
Partie
2
Nb partie
3
Application title
Nanomaterials Based Dry Electroencephalography Electrodes for Auditory Attention Decoding in Hearing Assistance Devices
Keyword
NSERC
Application summary
This project aims to form a collaboration between Queen's University with AAVAA Inc.AAVAA Inc. is developing hearing aids with capability of attention detection decoding by recording and analyzing brain waves. The brain waves are recorded non-invasively through the skin around the ear and within the ear canal. The system analyzes recorded brain waves known as electroencephalograms using Advanced Audio Signal Processing and Artificial Intelligence (AI) algorithm, developed by AAVAA, and focuses on and amplifies the sound that the user wishes to attend to without relying on any manual intervention.One of the main components of this system contributing to recording electroencephalography signals (brain waves) is its electrodes. Electrodes are interfaces between the system and skin.The goal of this project is to develop dry soft sensors that can form stable and conformal contact to the skin around the ear and within the ear canal for reliable long-term recording of brain waves. Our goal is to address one of the main challenges in the field of biosignals recording using dry electrodes which is minimizing and avoiding motion artifacts and reducing skin-electrode interface impedance.We aim to achieve this goal through utilizing novel materials such as nanomaterials and innovative engineering design.