Karthikeyan Umapathy

Research

Electrooculography Signals Eye Movements Feature Extraction Myasthenia Gravis Pattern Classification Signal Processing Time-Frequency/ Time-Scale Techniques

Latest papers

A comprehensive electrooculography measurement system and protocols for screening myasthenia gravis.
MethodsX · 2026 · senior author
Effects of spatially dense adrenergic stimulation to rotor behaviour in simulated atrial sheets.
Computers in biology and medicine · 2024 · senior author
Classification of lung pathologies in neonates using dual-tree complex wavelet transform.
Biomedical engineering online · 2023 · senior author

All 26 publications

Latest funding

Adaptive Data Processing, Modeling, and Quantification Methods for Analyzing Cardiac Fibrillation
NSERC · 2020 · Principal investigator
$168,000
Signal Processing Methods in Detecting Myasthenia Gravis Using Electrooculography Signals
CIHR · 2019 · Nominated PI
$474,299
I-POCUS: An Intelligent Point-of-Care Ultrasound System for Neonatal Intensive Care Units in Canada's Hospitals
NSERC · 2019 · Co-investigator
$446,000

All 9 grants and awards

26 publications.

01

A comprehensive electrooculography measurement system and protocols for screening myasthenia gravis.

Le TL, Boulos MI, Yang D, Berger S, Irannejad M, Figueroa CM, Thorpe KE, Murray B, Krishnan S, Sundaram ANE, Katzberg H, Umapathy K

MethodsX2026Senior author

DOI: 10.1016/j.mex.2026.103810 PMID: 41737895

02

Effects of spatially dense adrenergic stimulation to rotor behaviour in simulated atrial sheets.

Magtibay K, Massé S, Nanthakumar K, Umapathy K

Computers in biology and medicine2024Senior author

DOI: 10.1016/j.compbiomed.2024.109195 PMID: 39332114

03

Classification of lung pathologies in neonates using dual-tree complex wavelet transform.

Aujla S, Mohamed A, Tan R, Magtibay K, Tan R, Gao L, Khan N, Umapathy K

Biomedical engineering online2023Senior author

DOI: 10.1186/s12938-023-01184-x PMID: 38049880

04

Pro-arrhythmic role of adrenergic spatial densities in the human atria: An in-silico study.

Magtibay K, Massé S, Nanthakumar K, Umapathy K

PloS one2023Senior author

DOI: 10.1371/journal.pone.0290676 PMID: 37624832

05

An In-Silico model for evaluating the directional shock vectors in terminating and modulating rotors.

Kulangareth NV, Magtibay K, Massé S, Krishnakumar Nair, Dorian P, Nanthakumar K, Umapathy K

Computers in biology and medicine2022Senior author

DOI: 10.1016/j.compbiomed.2022.105665 PMID: 35654624

06

Audio texture analysis of COVID-19 cough, breath, and speech sounds.

Sharma G, Umapathy K, Krishnan S

Biomedical signal processing and control2022

DOI: 10.1016/j.bspc.2022.103703 PMID: 35464186

07

Reply to "Viability of electro-oculogram signal processing for diagnosing myasthenia remains elusive".

Boulos MI, Liang T, Murray BJ, Krishnan S, Katzberg H, Umapathy K

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2020Senior author

DOI: 10.1016/j.clinph.2019.10.007 PMID: 31787486

08

Analysis of electrooculography signals for the detection of Myasthenia Gravis.

Liang T, Boulos MI, Murray BJ, Krishnan S, Katzberg H, Umapathy K

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2019Senior author

DOI: 10.1016/j.clinph.2019.08.008 PMID: 31541988

09

The effect of left ventricular pacing on transmural activation delay in myopathic human hearts.

Porta-Sánchez A, Angaran P, Massé S, Nair K, Farid T, Umapathy K, Asta J, Gizurarson S, Nanthakumar K

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2018

DOI: 10.1093/europace/euw375 PMID: 28108548

10

Effect of spatial resolution and filtering on mapping cardiac fibrillation.

King B, Porta-Sánchez A, Massé S, Zamiri N, Balasundaram K, Kusha M, Jackson N, Haldar S, Umapathy K, Nanthakumar K

Heart rhythm2017

DOI: 10.1016/j.hrthm.2017.01.023 PMID: 28104480

Adaptive Data Processing, Modeling, and Quantification Methods for Analyzing Cardiac Fibrillation

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Umapathy, Karthikeyan

$168,000

Signal Processing Methods in Detecting Myasthenia Gravis Using Electrooculography Signals

Nominated PICIHR2019Project Grant

Principal investigators: Umapathy, Karthikeyan; Boulos, Mark I; Katzberg, Hans

Keywords: Electrooculography Signals; Eye Movements; Feature Extraction; Myasthenia Gravis; Pattern Classification; Signal Processing; Time-Frequency/ Time-Scale Techniques

$474,299

I-POCUS: An Intelligent Point-of-Care Ultrasound System for Neonatal Intensive Care Units in Canada's Hospitals

Co-investigatorNSERC2019Alliance Grants

Principal investigators: Guan, Ling

$446,000

A Comprehensive Intelligent Monitoring System for Mines

Co-investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: Fernando, Xavier

$160,000

Adaptive Signal Modeling and Feature Extraction Methods for Analyzing Cardiac Fibrillation

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Umapathy, Karthikeyan

$110,000

Variable Pressure cyro scanning electron microscope for biomedical characterization in micro nanoscale

Co-investigatorNSERC2011Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Tan, Bo

$149,500

Extending real time monitioring of ventricular fibrillation dynamics from the human Langendorff model to cardiac arrest in the community for optimizing resuscitation outcomes.

Co-investigatorCIHR2010Operating Grant: Monitoring and Optimizing CPR

Principal investigators: Nanthakumar, Kumaraswamy

Keywords: Monitoring, Ventricular Fibrillation, Sudden Cardiac Death,

$5,556

Signal and image processing methods for studying human ventricular fibrillation

Principal investigatorNSERC2010Discovery Grants Program - Individual

Principal investigators: Umapathy, Karthikeyan

$135,000

Studying Dynamic Electrical Conduction Pathways in Understanding Human Ventricular Fibrillation

Nominated PICIHR2010Operating Grant

Principal investigators: Umapathy, Karthikeyan

Keywords: Current Density Imaging; Diffusion Tensor Imaging; Electrophysiology; Isolated Human Hearts; Magnetic Resonance Imaging; Ventricular Fibrillation

$219,103

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Medicine/Cardiology
Medicine
Cardiology
Pharmaceutical Sciences
Department of Laboratory Medicine and Pathobiology
Other

Co-authors at Toronto Metropolitan University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Kumaraswamy Nanthakumar

Medicine/Cardiology

16 shared papers, latest 2024

Paul Dorian

Cardiology

4 shared papers, latest 2022

Hans Katzberg

Faculty

3 shared papers, latest 2026

Jagdish Butany

Department of Laboratory Medicine and Pathobiology

1 shared papers, latest 2011

Mansoor Husain

Medicine

1 shared papers, latest 2008

Heather Ross

Medicine/Cardiology

1 shared papers, latest 2009

David Jaffray

Pharmaceutical Sciences

1 shared papers, latest 2016

Vijay Chauhan

Medicine

1 shared papers, latest 2011

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2020

Subject: Prospective PhD student: Electrooculography Signals Dear Professor Umapathy, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "A comprehensive electrooculography measurement system and protocols for screening myasthenia gravis." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Adaptive Data Processing, Modeling, and Quantification Methods for Analyzing Cardiac Fibrillation" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]