S. Nagaraj

发表

Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition

Patrick L. Purdon, M. Brandon Westover, Oluwaseun Akeju, 2018, IEEE Transactions on Biomedical Engineering.

Automatic Classification of Sedation Levels in ICU Patients Using Heart Rate Variability

David W. Zhou, Lauren M. McClain, P. Purdon, 2016, Critical care medicine.

Novel drug-independent sedation level estimation based on machine learning of quantitative frontal electroencephalogram features in healthy volunteers.

M. Struys, S. Nagaraj, S. Ramaswamy, 2019, British journal of anaesthesia.

The revised Cerebral Recovery Index improves predictions of neurological outcome after cardiac arrest

M. Putten, B. Ruijter, J. Hofmeijer, 2018, Clinical Neurophysiology.

Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms

S. Nagaraj, P. Denig, Job F M van Boven, 2019, Diabetes, obesity & metabolism.

AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation

P. V. van Ooijen, M. Oudkerk, R. Vliegenthart, 2022, Journal of Digital Imaging.

The Neu‐Prem Trial: Neuromonitoring of Brains of Infants Born Preterm During Resuscitation—A Prospective Observational Cohort Study

N. Finer, W. Rich, K. Arnell, 2018, The Journal of pediatrics.

Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury

Una-May O’Reilly, S. Cash, M. Ghassemi, 2019, Clinical Neurophysiology.

Neonatal EEG classification using atomic decomposition

Sunil B. Nagaraj, S. Nagaraj, 2015 .

Prediction of Incident Cancers in the Lifelines Population-Based Cohort

G. Navis, S. Nagaraj, G. D. de Bock, 2021, Cancers.

A metabolomics‐based molecular pathway analysis of how the sodium‐glucose co‐transporter‐2 inhibitor dapagliflozin may slow kidney function decline in patients with diabetes

W. Ju, V. Nair, H. Heerspink, 2020, Diabetes, obesity & metabolism.

ADARRI: a novel method to detect spurious R-peaks in the electrocardiogram for heart rate variability analysis in the intensive care unit

M. Brandon Westover, Matt T. Bianchi, Eric S. Rosenthal, 2017, Journal of Clinical Monitoring and Computing.

Accurate detection of spontaneous seizures using a generalized linear model with external validation

Senan Ebrahim, Maurice Abou Jaoude, Nicolas F. Fumeaux, 2020, Epilepsia.

STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring

Christin Seifert, Sunil Belur Nagaraj, Shreyasi Pathak, 2021, Artif. Intell. Medicine.

Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features

Riccardo Barbieri, James M. Murphy, Haoqi Sun, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Brain Monitoring of Sedation in the Intensive Care Unit Using a Recurrent Neural Network

Haoqi Sun, Patrick L. Purdon, M. Brandon Westover, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Identifying patients at increased risk of hypoglycaemia in primary care: Development of a machine learning‐based screening tool

K. Taxis, S. Nagaraj, P. Denig, 2020, Diabetes/metabolism research and reviews.

Dexmedetomidine-induced deep sedation mimics non-rapid eye movement stage 3 sleep: large-scale validation using machine learning

S M Ramaswamy, M A S Weerink, M M R F Struys, 2020, Sleep.

Clustering analysis to identify distinct spectral components of encephalogram burst suppression in critically ill patients

Patrick L. Purdon, M. Brandon Westover, Oluwaseun Akeju, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Electroencephalogram Monitoring of Depth of Anesthesia during Office-Based Anesthesia

P. Purdon, Pegah Kahali, S. Nagaraj, 2020, bioRxiv.

Patient-Specific Classification of ICU Sedation Levels From Heart Rate Variability*

Patrick L. Purdon, M. Brandon Westover, Oluwaseun Akeju, 2017, Critical care medicine.

Personalized sedation level monitoring in ICU patients using heart rate variability

Patrick L. Purdon, M. Brandon Westover, Valdery Moura Junior, 2016, 2016 Computing in Cardiology Conference (CinC).

Heart rate variability as a biomarker for sedation depth estimation in ICU patients

Patrick L. Purdon, M. Brandon Westover, Siddharth Biswal, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary

William P. Marnane, Geraldine B. Boylan, Gordon Lightbody, 2014, IEEE Transactions on Biomedical Engineering.