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Grant: Applied Research and Development Grants - Level 1

Sheridan Institute of Technology and Advanced Learning

$25,000.00

Development of a diagnostic tool to characterize migraine using EEG-based source localization

FY 2015-16

Summary
Migraine is a chronic, debilitating neurological disorder that affects millions of people. Common migraine symptoms include headache, nausea, vomiting, as well as elevated sensitivity to light and/or sound. Its profound physical, psychological and social impact have led Cerebral Diagnostics, a Toronto-based company specializing in imaging of real-time brain activities, to use cutting-edge imaging tools created in house to develop a novel way of imaging the abnormal brain activities in migraine patients. The imaging procedure includes a multi-channel, non-invasive electroencephalograph (EEG) recording and inverse source localization/visualization software. This project proposes a way to investigate the abnormal brain activity before, during and after a migraine episode. By carefully examine the data collected through a previous independent migraine study, we aim to combine sophisticated signal processing algorithms (such as compressed sensing and cluster analysis) and state-of-the-art data acquisition methods to generate quantitative and qualitative measurements for migraine detection, diagnosis and longitudinal monitoring. The results of this study will not only provide insights to the symptoms of migraine and generate new dimensions for migraine characterization, but also aims to open ways to identify, evaluate and select electrical signal-based pathological biomarkers in migraine diagnosis. Cerebral Diagnostics, and the Sheridan College research team propose to use this as the starting point for creating a safe, low cost, and reliable tool for migraine diagnosis and prognosis.
Program
Applied Research and Development Grants - Level 1
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
485514-2015
Name nom
Gillett, Cindy
Department département
Head Office
Organization id
22156
Institution établissement
Sheridan Institute of Technology and Advanced Learning
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
518
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Medical equipment and apparatus
Area of application fr
Appareils et instruments médicaux
Research subject code
1901
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical technology
Research subject fr
Technologie biomédicale
Partie
1
Nb partie
1
Application title
Development of a diagnostic tool to characterize migraine using EEG-based source localization
Keyword
NSERC
Application summary
Migraine is a chronic, debilitating neurological disorder that affects millions of people. Common migraine symptoms include headache, nausea, vomiting, as well as elevated sensitivity to light and/or sound. Its profound physical, psychological and social impact have led Cerebral Diagnostics, a Toronto-based company specializing in imaging of real-time brain activities, to use cutting-edge imaging tools created in house to develop a novel way of imaging the abnormal brain activities in migraine patients. The imaging procedure includes a multi-channel, non-invasive electroencephalograph (EEG) recording and inverse source localization/visualization software. This project proposes a way to investigate the abnormal brain activity before, during and after a migraine episode. By carefully examine the data collected through a previous independent migraine study, we aim to combine sophisticated signal processing algorithms (such as compressed sensing and cluster analysis) and state-of-the-art data acquisition methods to generate quantitative and qualitative measurements for migraine detection, diagnosis and longitudinal monitoring. The results of this study will not only provide insights to the symptoms of migraine and generate new dimensions for migraine characterization, but also aims to open ways to identify, evaluate and select electrical signal-based pathological biomarkers in migraine diagnosis. Cerebral Diagnostics, and the Sheridan College research team propose to use this as the starting point for creating a safe, low cost, and reliable tool for migraine diagnosis and prognosis.