Concepedia

Author

Carolina Varon

KU LeuvenORCID

Also Known As

C Varon, C. Varon, C. Varón, Carlos Andres Varon, Carolina Varon, Moeyersons, J., Varon, C., Varon, Carolina

182

Publications

2.3K

Citations

24

H-Index

85

Concepts

All Affiliations

KU LeuvenIMECUniversitair Ziekenhuis LeuveniMindsDelft University of Technology
CV

About

Carolina Varon is an author at KU Leuven specializing in engineering, patient monitoring, and signal processing.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

14

15

521

2

Medicine

6

6

195

3

Social Sciences

6

6

207

4

Health Sciences

2

2

33

5

Public Health

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179

Carolina Varon

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49

Publications

1.9K

Citations

24

H-Index

YearCitations

A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG

Carolina Varon, Alexander Caicedo, Dries Testelmans,

IEEE Transactions on Biomedical Engineering

2015

337

Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration

Devy Widjaja, Carolina Varon, A. Dorado,

IEEE Transactions on Biomedical Engineering

2012

124

A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG

Carolina Varon, John Morales, Jesús Lázaro,

Scientific Reports

2020

118

Detection and Classification of Sleep Apnea and Hypopnea Using PPG and SpO$_2$ Signals

Remo Lazazzera, Margot Deviaene, Carolina Varon,

IEEE Transactions on Biomedical Engineering

2020

90

Automatic Screening of Sleep Apnea Patients Based on the SpO<sub>2</sub> Signal

Margot Deviaene, Dries Testelmans, Bertien Buyse,

IEEE Journal of Biomedical and Health Informatics

2018

70

Artefact detection and quality assessment of ambulatory ECG signals

Jonathan Moeyersons, Elena Smets, John Morales,

Computer Methods and Programs in Biomedicine

2019

68

Peri-ictal ECG changes in childhood epilepsy: Implications for detection systems

Katrien Jansen, Carolina Varon, Sabine Van Huffel,

Epilepsy & Behavior

2013

58

Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation

Hélène De Cannière, Federico Corradi, C. J. P. P. Smeets,

Sensors

2020

56

A Machine-Learning Approach for Detection and Quantification of QRS Fragmentation

Griet Goovaerts, Sibasankar Padhy, Bert Vandenberk,

IEEE Journal of Biomedical and Health Informatics

2018

55

R-DECO: an open-source Matlab based graphical user interface for the detection and correction of R-peaks

Jonathan Moeyersons, Matthew Amoni, Sabine Van Huffel,

PeerJ Computer Science

2019

55

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