Area of research
Cardiology and Cardiovascular Medicine · Cognitive Neuroscience
Research interest
Research interests include Computer science, Pattern recognition (psychology), Atrial fibrillation, Intensive care unit, QRS complex, and Medicine.
Atrial Fibrillation Prediction from Critically Ill Sepsis Patients
Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data
Novel Density Poincaré Plot Based Machine Learning Method to Detect Atrial Fibrillation From Premature Atrial/Ventricular Contractions
An Accurate QRS Complex and P Wave Detection in ECG Signals Using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Approach
Noise Detection in Electrocardiogram Signals for Intensive Care Unit Patients
VERB: VFCDM-Based Electrocardiogram Reconstruction and Beat Detection Algorithm
Novel Method of Atrial Fibrillation Case Identification and Burden Estimation Using the MIMIC-III Electronic Health Data Set
Atrial Fibrillation Detection in ICU Patients: A Pilot Study on MIMIC III Data