Postdoctoral Researcher
Irish Centre For Fetal and Neonatal Translational Research
2-17
Western Gate Building
University College Cork
Cork

T: +353-21-420-5940
E: n.stevenson@ucc.ie

I began my career studying electrical engineering at the University of Southern Queensland in Australia. I completed a Masters degree at the Queensland University of Technology when my itchy feet led me to the University of Queensland where I finished a PhD in medical science studying automated methods of diagnosing seizures in the newborn baby. I moved to Cork to pursue the field and work with the Neonatal Brain Research Group.

Research Interests

My research involves the analysis of neonatal brain waves using advanced signal processing techniques.  I am using the computer to automate the visual interpretation of the experienced neurophysiologist.  The automation of this interpretive process provides the experience of a trained neurophysiologist, around the clock, to clinical settings that may not have such access. Automation of neonatal brain wave analysis has the potential to be applied when long periods of data must be considered (for prognosis) or when the speed of a decision is crucial (for diagnosis).  

Peer Reviewed Journals

YearPublication
(2014)'Early Postnatal EEG Features of Perinatal Arterial Ischaemic Stroke with Seizures'
Low, E,Mathieson, SR,Stevenson, NJ,Livingstone, V,Ryan, CA,Bogue, CO,Rennie, JM,Boylan, GB (2014) 'Early Postnatal EEG Features of Perinatal Arterial Ischaemic Stroke with Seizures'. Plos One, 9 [DOI] [Details]
(2014)'Measuring brain activity cycling (BAC) in long term EEG monitoring of preterm babies'
Stevenson, NJ,Palmu, K,Wikstrom, S,Hellstrom-Westas, L,Vanhatalo, S (2014) 'Measuring brain activity cycling (BAC) in long term EEG monitoring of preterm babies'. Physiological Measurement, 35 :1493-1508 [DOI] [Details]
(2013)'Monitoring neonatal seizures'
Boylan GB, Stevenson NJ, Vanhatalo S (2013) 'Monitoring neonatal seizures'. Seminars In Fetal & Neonatal Medicine, 18 (4):202-208 [DOI] [Details]
(2013)'An automated system for grading EEG abnormality in term neonates with hypoxic-ischaemic encephalopathy'
Stevenson NJ, Korotchikova I, Temko A, Lightbody G, Marnane WP, Boylan GB (2013) 'An automated system for grading EEG abnormality in term neonates with hypoxic-ischaemic encephalopathy'. Annals of Biomedical Engineering, 41 (4):775-785 [DOI] [Details]
(2012)'The temporal evolution of electrographic seizure burden in neonatal hypoxic ischemic encephalopathy'
Lynch NE, Stevenson NJ, Livingstone V, Murphy BP, Rennie JM, Boylan GB (2012) 'The temporal evolution of electrographic seizure burden in neonatal hypoxic ischemic encephalopathy'. Epilepsia, 53 (3):549-557 [DOI] [Details]
(2012)'Cooling and seizure burden in term neonates: an observational study'
Low, E,Boylan, GB,Mathieson, SR,Murray, DM,Korotchikova, I,Stevenson, NJ,Livingstone, V,Rennie, JM (2012) 'Cooling and seizure burden in term neonates: an observational study'. Archives of Disease In Childhood-Fetal and Neonatal Edition, 97 :267-272 [DOI] [Details]
(2012)'Inclusion of temporal priors for automated neonatal EEG classification'
Temko, A,Stevenson, N,Marnane, W,Boylan, G,Lightbody, G (2012) 'Inclusion of temporal priors for automated neonatal EEG classification'. Journal of Neural Engineering, 9 [DOI] [Details]
(2012)'A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity'
Stevenson NJ, O'Toole JM, Rankine LJ, Boylan GB, Boashash B. (2012) 'A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity'. Medical Engineering & Physics, 34 :437-446 Globe icon [DOI] [Full Text] [Details]
(2011)'Quantitative EEG analysis in neonatal hypoxic ischaemic encephalopathy'
Korotchikova, I,Stevenson, NJ,Walsh, BH,Murray, DM,Boylan, GB; (2011) 'Quantitative EEG analysis in neonatal hypoxic ischaemic encephalopathy'. Clinical Neurophysiology, 122 :1671-1678 [DOI] [Details]
(2010)'Optimization of an NLEO-based algorithm for automated detection of spontaneous activity transients in early preterm EEG'
Palmu, K,Stevenson, N,Wikstrom, S,Hellstrom-Westas, L,Vanhatalo, S,Palva, JM; (2010) 'Optimization of an NLEO-based algorithm for automated detection of spontaneous activity transients in early preterm EEG'. Physiological Measurement, 31 :85-93 [DOI] [Details]
(2010)'Multiple-view time-frequency distribution based on the empirical mode decomposition'
Stevenson, NJ,Mesbah, M,Boashash, B; (2010) 'Multiple-view time-frequency distribution based on the empirical mode decomposition'. Iet Signal Processing, 4 :447-456 [DOI] [Full Text] [Details]
(2010)'Incidental walking activity is sufficient to induce time-dependent conditioning of the Achilles tendon'
Grigg, NL,Stevenson, NJ,Wearing, SC,Smeathers, JE; (2010) 'Incidental walking activity is sufficient to induce time-dependent conditioning of the Achilles tendon'. Gait & Posture, 31 :64-67 [DOI] [Details]
(2010)'A nonlinear model of newborn EEG with nonstationary inputs'
Stevenson, NJ; Mesbah, M; Boylan, GB; Colditz, PB; Boashash, B; (2010) 'A nonlinear model of newborn EEG with nonstationary inputs'. Annals of Biomedical Engineering, 38 (9):3010-3021 [DOI] [Full Text] [Details]
(2007)'A nonstationary model of newborn EEG'
Rankine L, Stevenson N, Mesbah M, Boashash B (2007) 'A nonstationary model of newborn EEG'. IEEE transactions on bio-medical engineering, 54 (1):19-28 [DOI] [Details]

Professional Associations

 AssociationFunctionFrom / To
Institute of Electrical and Electronic Engineers Member/

Education

 YearInstituionQualificationSubject
2008University of Queensland PHDMedical Science
2003Queensland University of Technology MScEngineering
2000University of Southern Queensland B ENG (ELECTRONIC)Electrical and Electronic Engineering

Teaching Interests

My teaching interests lie in the fields of signal processing and biomedical engineering. At UCC, I have taught part of EE4012 Medical Electronic Systems.

I have previously tutored and lectured the following subjects at the Queensland University of Technology, Australia.  Classical Signal Processing (undergraduate), Digital Signal Processing  (undergraduate), Modern Signal Processing  (undergraduate) and Advanced Signal Processing and Systems (postgraduate). These subjects cover the analysis of continuous and discrete time linear systems with the Laplace and Fourier transforms. These also cover topics such as the analysis of noise in a signal, power spectral density estimation, decision theory and speech coding.