Automated Quantification of Low-Amplitude Abnormal QRS Peaks From High-Resolution ECG Recordings Predicts Arrhythmic Events in Patients With Cardiomyopathy

Author:

Das Moloy1,Suszko Adrian M.1,Nayyar Sachin1,Viswanathan Karthik1,Spears Danna A.1,Tomlinson George1,Pinter Arnold1,Crystal Eugene1,Dalvi Rupin1,Krishnan Sridhar1,Chauhan Vijay S.1

Affiliation:

1. From the Peter Munk Cardiac Center, Division of Cardiology, University Health Network, Toronto, Ontario, Canada (M.D., A.M.S., S.N., K.V., D.A.S., G.T., R.D., V.S.C.); Department of Cardiology, Freeman Hospital, Newcastle Upon Tyne, United Kingdom (M.D.); Division of Cardiology, St. Michael’s Hospital, Toronto, Ontario, Canada (A.P.); Division of Cardiology, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada (E.C.); and Department of Electrical and Computer Engineering, Ryerson University,...

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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