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ECG Monitoring and Analysis
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the analysis, classification, and processing of electrocardiogram (ECG) signals for applications such as arrhythmia detection, cardiac health diagnosis, and physiological monitoring. The papers cover topics including deep learning, wavelet transform, signal quality assessment, noise reduction, and real-time ECG monitoring for telemedicine.
177
Works
IDs:OpenAlex
How has ECG Monitoring and Analysis's publication output changed over time?
ScholarIQpublication output · 2003–2022
Output grew0% over the shown period — from 1 works in 2003 to 1 in 2022.
1
1
1
1
2
2
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1
2003200720102013201620182019202020212022
What are the most-cited papers on ECG Monitoring and Analysis?
ScholarIQmost cited works
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia, Andrew Y. Ng
Nature Medicine. 20183,037 Citations
Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
Zachi I. Attia, Suraj Kapa, Francisco López-Jiménez, Paul M. McKie, Dorothy J. Ladewig, Gaurav Satam, Patricia A. Pellikka, Maurice Enriquez‐Sarano, Peter A. Noseworthy, Thomas M. Munger, Samuel J. Asirvatham, Christopher G. Scott, Rickey E. Carter, Paul A. Friedman
Nature Medicine. 20181,356 Citations
Smart wearable devices in cardiovascular care: where we are and how to move forward
Karim Bayoumy, Mohammed Gaber, Abdallah Elshafeey, Omar Mhaimeed, Elizabeth H. Dineen, Françoise A. Marvel, Seth S. Martin, Evan D. Muse, Mintu P. Turakhia, Khaldoun G. Tarakji, Mohamed B. Elshazly
S62674001. 2021822 CitationsOPEN ACCESS
Arrhythmias documented by 24 hour continuous electrocardiographic monitoring in 50 male medical students without apparent heart disease
Michael A. Brodsky, Delon Wu, Pablo Denes, Charles Kanakis, Kenneth M. Rosen
The American Journal of Cardiology. 1977631 Citations
A patient-adaptable ECG beat classifier using a mixture of experts approach
Yu Hen Hu, Shubha Deepti Palreddy, W.J. Tompkins
IEEE Transactions on Biomedical Engineering. 1997614 CitationsOPEN ACCESS
Where is ECG Monitoring and Analysis research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on ECG Monitoring and Analysis is open access?
ScholarIQopen access share
27%OPEN ACCESS
Gold
7%
Green
7%
Hybrid
7%
Bronze
7%
Closed
73%
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Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
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