Grant: Project Grant
Toronto Metropolitan University
$474,299.00
Signal Processing Methods in Detecting Myasthenia Gravis Using Electrooculography Signals
FY 2019-20
Summary
Myasthenia Gravis (MG) is a muscle weakness disorder that can become fatal if it affects the vital muscles needed for breathing and swallowing. Detecting MG in its early stage and segregating it from other forms of similar disorders has been a challenge in providing effective treatment. In the proposed research, in collaboration with Toronto General Hospital and Sunnybrook Health Sciences Centre, we will analyse eye movement signals around the ocular region to detect ocular MG (OMG) which is a precursor for more severe forms of MG. Advanced signal processing engineering methods will be developed in capturing clues to OMG and quantify them for automatic screening purposes. The proposed methodology will then be incorporated in a mobile portable device that can be deployed as an early stage MG screening device.
Department
Program
Project Grant
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
410004
Name
Umapathy Karthikeyan
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Musculoskeletal Health and Arthritis
Theme2
Biomedical
Prcname2
Movement & Exercise
Projecttitle
Signal Processing Methods in Detecting Myasthenia Gravis Using Electrooculography Signals
Programtype2
Operating Grants
Orgnameinp2
Toronto Metropolitan University
Cihramount2
$474,299
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Electrooculography Signals; Eye Movements; Feature Extraction; Myasthenia Gravis; Pattern Classification; Signal Processing; Time-Frequency/ Time-Scale Techniques
Abstract
Myasthenia Gravis (MG) is a muscle weakness disorder that can become fatal if it affects the vital muscles needed for breathing and swallowing. Detecting MG in its early stage and segregating it from other forms of similar disorders has been a challenge in providing effective treatment. In the proposed research, in collaboration with Toronto General Hospital and Sunnybrook Health Sciences Centre, we will analyse eye movement signals around the ocular region to detect ocular MG (OMG) which is a precursor for more severe forms of MG. Advanced signal processing engineering methods will be developed in capturing clues to OMG and quantify them for automatic screening purposes. The proposed methodology will then be incorporated in a mobile portable device that can be deployed as an early stage MG screening device.
Competitiondate
201909
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Umapathy, Karthikeyan; Boulos, Mark I; Katzberg, Hans
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $474,299~ $0~
