Nathan J. Stevenson

According to our database, Nathan J. Stevenson authored at least 24 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Analysing heart rate variability in preterm infants: the effect of temporal adjustment of NN peaks and missing data.

Nathan J. Stevenson, Kartik K. Iyer, Vito Giordano, Katrin Klebermaß-Schrehof, Sampsa Vanhatalo

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Optimization of time series features to estimate brain age in children from electroencephalography.

Kartik K. Iyer, James A. Roberts, Michaela Waak, Ajay Kevat, Jasneek Chawla, Leena Lauronen, Sampsa Vanhatalo, Nathan J. Stevenson

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Ensemble learning using individual neonatal data for seizure detection.

Ana Borovac, Steinn Gudmundsson, Gardar Thorvardsson, Saeed M. Moghadam, Päivi Nevalainen, Nathan J. Stevenson, Sampsa Vanhatalo, Thomas Philip Runarsson

CoRR, 2022

Validating an SVM-based neonatal seizure detection algorithm for generalizability, non-inferiority and clinical efficacy.

Karoliina T. Tapani, Päivi Nevalainen, Sampsa Vanhatalo, Nathan J. Stevenson

Comput. Biol. Medicine, 2022

2021

Automated detection of artefacts in neonatal EEG with residual neural networks.

Lachlan Webb, Minna Kauppila, James A. Roberts, Sampsa Vanhatalo, Nathan J. Stevenson

Comput. Methods Programs Biomed., 2021

2020

Deep learning for estimation of functional brain maturation from EEG of premature neonates.

Laura Gschwandtner, Manfred Martin Hartmann, Lisa Oberdorfer, Franz Fürbass, Katrin Klebermaß-Schrehof, Tobias Werther, Nathan J. Stevenson, Gerhard Gritsch, Hannes Perko, Angelika Berger, Tilmann Kluge, Vito Giordano

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Time-Varying EEG Correlations Improve Automated Neonatal Seizure Detection.

Karoliina T. Tapani, Sampsa Vanhatalo, Nathan J. Stevenson

Int. J. Neural Syst., 2019

Hybrid neonatal EEG seizure detection algorithms achieve the benchmark of visual interpretation of the human expert.

Nathan J. Stevenson, Karoliina T. Tapani, Sampsa Vanhatalo

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2015

Assessment of quality of ECG for accurate estimation of Heart Rate Variability in newborns.

Shima Gholinezhadasnefestani, Andriy Temko, Nathan J. Stevenson, Geraldine B. Boylan, Gordon Lightbody, William P. Marnane

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary.

Sunil Belur Nagaraj, Nathan J. Stevenson, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody

IEEE Trans. Biomed. Eng., 2014

Artefact detection in neonatal EEG.

Nathan J. Stevenson, John M. O'Toole, Irina Korotchikova, Geraldine B. Boylan

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Assessing instantaneous energy in the EEG: A non-negative, frequency-weighted energy operator.

John M. O'Toole, Andriy Temko, Nathan J. Stevenson

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Robustness of time frequency distribution based features for automated neonatal EEG seizure detection.

Sunil Belur Nagaraj, Nathan J. Stevenson, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012

Temporal evolution of seizure burden for automated neonatal EEG classification.

Andriy Temko, Nathan J. Stevenson, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A novel dictionary for neonatal EEG seizure detection using atomic decomposition.

Sunil Belur Nagaraj, Nathan J. Stevenson, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010

An estimate of newborn EEG amplitude with limited frequency content.

Nathan J. Stevenson, Irina Korotchikova, Geraldine B. Boylan

Proceedings of the 10th International Conference on Information Sciences, 2010

2007

A Nonstationary Model of Newborn EEG.

Luke Rankine, Nathan J. Stevenson, Mostefa Mesbah, Boualem Boashash

IEEE Trans. Biomed. Eng., 2007

A joint time-frequency empirical mode decomposition for nonstationary signal separation.

Nathan J. Stevenson, Mostefa Mesbah, Boualem Boashash, Harper J. Whitehouse

Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

A time-frequency distribution based on the empirical mode decomposition.

Nathan J. Stevenson, Mostefa Mesbah, Boualem Boashash

Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Modelling newborn EEG background using a time-Varying fractional Brownian process.

Nathan J. Stevenson, Luke Rankine, Mostefa Mesbah, Boualem Boashash

Proceedings of the 15th European Signal Processing Conference, 2007

2005

An improvement to the multiple window spectrogram using quadratic time-frequency distributions.

Nathan J. Stevenson, Mostefa Mesbah, Boualem Boashash

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

A sampling limit for the empirical mode decomposition.

Nathan J. Stevenson, Mostefa Mesbah, Boualem Boashash

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

A quantitative comparison of non-parametric time-frequency representations.

Luke Rankine, Nathan J. Stevenson, Mostefa Mesbah, Boualem Boashash

Proceedings of the 13th European Signal Processing Conference, 2005

2003

The BT product as a signal dependent sample size estimate in hypothesis testing: an application to linear/nonlinear discrimination in bandwidth limited systems.

Nathan J. Stevenson, Edward Palmer, James Smeathers, Boualem Boashash

Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003