This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Queen's University directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Novel frequency analysis of signal-averaged electrocardiograms is predictive of adverse outcomes in implantable cardioverter defibrillator patients.
Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2019
Ventricular substrate identification using close-coupled paced electrogram feature analysis.
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 Cardiology · 2019
Regional Dominant Frequency: A New Tool for Wave Break Identification During Atrial Fibrillation.
Frontiers in cardiovascular medicine · 2018
Latest funding
- $196,000
Advanced Signal Processing Methods for Analysis of Fibrillatory Waves
NSERC · 2018 · Principal investigator
- $12,500
Advanced Signal Processing Methods for Analysis of Fibrillatory Waves
NSERC · 2018 · Principal investigator
12 publications.
Novel frequency analysis of signal-averaged electrocardiograms is predictive of adverse outcomes in implantable cardioverter defibrillator patients.
Chow R, Hashemi J, Torbey S, Siu J, Glover B, Baranchuk AM, Abdollah H, Simpson C, Akl S, Redfearn DP
Ventricular substrate identification using close-coupled paced electrogram feature analysis.
Shariat MH, Gupta D, Gul EE, Glover B, Hashemi J, Abdollah H, Baranchuk A, Simpson C, Michael KA, Redfearn DP
Regional Dominant Frequency: A New Tool for Wave Break Identification During Atrial Fibrillation.
Shariat MH, Hashemi J, Gazor S, Redfearn DP
Use of Intraprocedural Ibutilide During Stepwise Ablation of Long-Standing Persistent Atrial Fibrillation.
Enriquez A, Hashemi J, Michael K, Abdollah H, Simpson C, Baranchuk A, Redfearn D
Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillation.
Hajimolahoseini H, Hashemi J, Gazor S, Redfearn D
Clinical Role of Dominant Frequency Measurements in Atrial Fibrillation Ablation - A Systematic Review.
Gadenz L, Hashemi J, Shariat MH, Gula L, Redfearn DP
Intervention for persistent atrial fibrillation: Prediction of treatment response.
Redfearn DP, Hashemi J
Surface EMG force modeling with joint angle based calibration.
Hashemi J, Morin E, Mousavi P, Hashtrudi-Zaad K
EMG-force modeling using parallel cascade identification.
Hashemi J, Morin E, Mousavi P, Mountjoy K, Hashtrudi-Zaad K
Enhanced multi-site EMG-force estimation using contact pressure.
Hashemi J, Morin E, Mousavi P, Hashtrudi-Zaad K
Advanced Signal Processing Methods for Analysis of Fibrillatory Waves
Principal investigators: Hashemi, Javad
Keywords: biological signal processing; machine learning; active interval detection; intracardiac electrograms; atrial fibrillation; deep learning; layered symbolic decomposition; gaussian mixture models; fast orthogonal search; parallel cascade identification
Advanced Signal Processing Methods for Analysis of Fibrillatory Waves
Principal investigators: Hashemi, Javad
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
- Evelyn Morin and Keyvan Hashtrudi-Zaad: 9 shared papers
- Parvin Mousavi and Keyvan Hashtrudi-Zaad: 6 shared papers
- Parvin Mousavi and Evelyn Morin: 5 shared papers
- Parvin Mousavi and Javad Hashemi: 5 shared papers
- Evelyn Morin and Javad Hashemi: 5 shared papers
- Keyvan Hashtrudi-Zaad and Javad Hashemi: 5 shared papers
- Damian Redfearn and Javad Hashemi: 2 shared papers
- Saeed Gazor and Javad Hashemi: 2 shared papers
- Damian Redfearn and Saeed Gazor: 1 shared paper
- Electrical and Computer Engineering
- School of Computing
- Medicine/Cardiology
Co-authors at Queen's University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Parvin Mousavi
School of Computing
5 shared papers, latest 2013
Evelyn Morin
Electrical and Computer Engineering
5 shared papers, latest 2013
Keyvan Hashtrudi-Zaad
Electrical and Computer Engineering
5 shared papers, latest 2013
Damian Redfearn
Medicine/Cardiology
2 shared papers, latest 2018
Saeed Gazor
Electrical and Computer Engineering
2 shared papers, latest 2018
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