Saeed Babaeizadeh - Concepedia

Author

Saeed Babaeizadeh

Philips (United States)

Also Known As

Babaeizadeh, Saeed, S. Babaeizadeh, Saeed Babaeizadeh

132

Publications

1.6K

Citations

H-Index

Concepts

All Affiliations

Philips (United States)Northeastern University Philips (Finland)Rensselaer Polytechnic Institute Radboud University Nijmegen

About

Saeed Babaeizadeh is an author at Philips (United States) specializing in cardiology, electrophysiology, and medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	9	9	444
2	Engineering	8	8	281
3	Public Health	4	4	289
4	Health Sciences	2	2	47
5	Education	1	1	17

Saeed Babaeizadeh

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Quantitative relationship between end-tidal carbon dioxide and CPR quality during both in-hospital and out-of-hospital cardiac arrest Kelsey Sheak, Douglas J. Wiebe, Marion Leary, Resuscitation Cardiopulmonary ResuscitationMedicinePatient SafetyCpr QualityQuantitative Relationship	2015	190
Improvements in atrial fibrillation detection for real-time monitoring Saeed Babaeizadeh, Richard E. Gregg, Eric Helfenbein, Journal of Electrocardiology Real-time MonitoringElectrophysiological EvaluationMeasurementAtrial Fibrillation DetectionPatient Monitoring	2009	170
Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo‐Plethysmography at the Wrist A. Bonomi, Fons Schipper, Linda M. Eerikäinen, Journal of the American Heart Association	2018	93
Densely connected convolutional networks for detection of atrial fibrillation from short single-lead ECG recordings Jonathan Rubin, Saman Parvaneh, Asif Rahman, Journal of Electrocardiology Electrophysiological EvaluationConvolutional Neural NetworkEngineeringMachine LearningBiosignal Processing	2018	91
Comparison of automated interval measurements by widely used algorithms in digital electrocardiographs Paul Kligfield, Fabio Badilini, Isabelle Denjoy, American Heart Journal Electrophysiological EvaluationMeasurementBiosignal ProcessingAutomated Interval MeasurementsDigital Electrocardiographs	2018	83
Automatic detection and quantification of sleep apnea using heart rate variability Saeed Babaeizadeh, David P. White, Stephen D. Pittman, Journal of Electrocardiology SleepSleep DisorderEngineeringMeasurementWearable Technology	2010	62
Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation Saman Parvaneh, Jonathan Rubin, Asif Rahman, Physiological Measurement	2018	61
Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings Saman Parvaneh, Jonathan Rubin, Rahman Asif, Computing in cardiology	2017	57
Comparison of automated measurements of electrocardiographic intervals and durations by computer-based algorithms of digital electrocardiographs Paul Kligfield, Fabio Badilini, Ian Rowlandson, American Heart Journal Electrophysiological EvaluationMeasurementBiosignal ProcessingElectrocardiographyDigital Electrocardiographs	2013	56
Atrial Fibrillation Detection Using Photo:plethysmography and Acceleration Data at the Wrist A. Bonomi, Fons Schipper, Linda M. Eerikäinen, Computing in cardiology	2016	56

Page 1