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Sunil Belur Nagaraj
Sunil Belur Nagaraj
Founder & CEO
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Combining multiple qeeg features to estimate drug-independent sedation level using machine learning
SB Nagaraj, SM Ramaswamy, MMR Struys
US Patent App. 16/784,067, 2020
2392020
Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury
E Amorim, M Van der Stoel, SB Nagaraj, MM Ghassemi, J Jing, ...
Clinical neurophysiology 130 (10), 1908-1916, 2019
782019
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring
S Pathak, C Lu, SB Nagaraj, M van Putten, C Seifert
Artificial intelligence in medicine 114, 102038, 2021
472021
Patient-specific classification of ICU sedation levels from heart rate variability
SB Nagaraj, S Biswal, EJ Boyle, DW Zhou, LM McClain, EK Bajwa, ...
Critical care medicine 45 (7), e683-e690, 2017
452017
Automatic classification of sedation levels in ICU patients using heart rate variability
SB Nagaraj, LM McClain, DW Zhou, S Biswal, ES Rosenthal, PL Purdon, ...
Critical care medicine 44 (9), e782-e789, 2016
432016
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
S Mulder, A Hammarstedt, SB Nagaraj, V Nair, W Ju, J Hedberg, ...
Diabetes, Obesity and Metabolism 22 (7), 1157-1166, 2020
422020
Machine‐learning–based early prediction of end‐stage renal disease in patients with diabetic kidney disease using clinical trials data
S Belur Nagaraj, MJ Pena, W Ju, HL Heerspink, BEAt‐DKD Consortium
Diabetes, Obesity and Metabolism 22 (12), 2479-2486, 2020
402020
Neonatal seizure detection using atomic decomposition with a novel dictionary
SB Nagaraj, NJ Stevenson, WP Marnane, GB Boylan, G Lightbody
IEEE Transactions on Biomedical Engineering 61 (11), 2724-2732, 2014
372014
The revised Cerebral Recovery Index improves predictions of neurological outcome after cardiac arrest
SB Nagaraj, MC Tjepkema-Cloostermans, BJ Ruijter, J Hofmeijer, ...
Clinical neurophysiology 129 (12), 2557-2566, 2018
362018
The Neu-Prem Trial: neuromonitoring of brains of infants born preterm during resuscitation—a prospective observational cohort study
AC Katheria, MJ Harbert, SB Nagaraj, K Arnell, DM Poeltler, MK Brown, ...
The Journal of pediatrics 198, 209-213. e3, 2018
362018
Electroencephalogram based detection of deep sedation in ICU patients using atomic decomposition
SB Nagaraj, LM McClain, EJ Boyle, DW Zhou, SM Ramaswamy, S Biswal, ...
IEEE Transactions on Biomedical Engineering 65 (12), 2684-2691, 2018
332018
Automated tracking of level of consciousness and delirium in critical illness using deep learning
H Sun, E Kimchi, O Akeju, SB Nagaraj, LM McClain, DW Zhou, E Boyle, ...
NPJ digital medicine 2 (1), 89, 2019
312019
Dexmedetomidine-induced deep sedation mimics non-rapid eye movement stage 3 sleep: large-scale validation using machine learning
SM Ramaswamy, MAS Weerink, MMRF Struys, SB Nagaraj
Sleep 44 (2), zsaa167, 2021
262021
Predicting short‐and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms
SB Nagaraj, G Sidorenkov, JFM van Boven, P Denig
Diabetes, Obesity and Metabolism 21 (12), 2704-2711, 2019
252019
Novel drug-independent sedation level estimation based on machine learning of quantitative frontal electroencephalogram features in healthy volunteers
SM Ramaswamy, MH Kuizenga, MAS Weerink, HEM Vereecke, ...
British Journal of Anaesthesia 123 (4), 479-487, 2019
212019
Predicting deep hypnotic state from sleep brain rhythms using deep learning: A data-repurposing approach
SB Nagaraj, SM Ramaswamy, MAS Weerink, MMRF Struys
Anesthesia & Analgesia 130 (5), 1211-1221, 2020
172020
Brain monitoring of sedation in the intensive care unit using a recurrent neural network
H Sun, SB Nagaraj, O Akeju, PL Purdon, BM Westover
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
122018
Identifying patients at increased risk of hypoglycaemia in primary care: Development of a machine learning‐based screening tool
S Crutzen, S Belur Nagaraj, K Taxis, P Denig
Diabetes/Metabolism Research and Reviews 37 (7), e3426, 2021
92021
ADARRI: a novel method to detect spurious R-peaks in the electrocardiogram for heart rate variability analysis in the intensive care unit
DJ Rebergen, SB Nagaraj, ES Rosenthal, MT Bianchi, MJAM van Putten, ...
Journal of clinical monitoring and computing 32, 53-61, 2018
92018
Robustness of time frequency distribution based features for automated neonatal EEG seizure detection
SB Nagaraj, NJ Stevenson, WP Marnane, GB Boylan, G Lightbody
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
92014
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