Post-Doctoral Fellow
Neonatal Brain Research Group
2-17
Western Gate Building
University College Cork
Cork
Ireland

T: +353-21-420-5940
E: n.stevenson@ucc.ie
I began my academic 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 fantastic people at the Neonatal Brain Research Group.

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 (some say wizened) 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).  
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 (some say wizened) 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
(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' [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' [DOI] [Details]
(2013)'An Automated System for Grading EEG Abnormality in Term Neonates with Hypoxic-Ischaemic Encephalopathy'
N. J. Stevenson, I. Korotchikova, A. Temko, G. Lightbody, W. P. Marnane, G. B. Boylan (2013) 'An Automated System for Grading EEG Abnormality in Term Neonates with Hypoxic-Ischaemic Encephalopathy' [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' [DOI] [Full Text] [Details]
(2012)'The temporal evolution of electrographic seizure burden in neonatal hypoxic ischemic encephalopathy'
NE Lynch, NJ Stevenson, V Livingstone, BP Murphy, JM Rennie, GB Boylan (2012) 'The temporal evolution of electrographic seizure burden in neonatal hypoxic ischemic encephalopathy' [DOI] [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' [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' [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' [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' [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' [DOI] [Full Text] [Details]
(2007)'A Nonstationary Model of Newborn EEG'
L Rankine, N Stevenson, M Mesbah, B Boashash (2007) 'A Nonstationary Model of Newborn EEG' [DOI] [Details]

Conference Publications

 YearPublication
(2010)Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Stevenson, N.J. and Korotchikova, I. and Boylan, G.B. (2010) An estimate of newborn EEG amplitude with limited frequency content Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on , pp.288-291 [Details]
(2012)IEEE EMBC
Temko, A., Stevenson, N., Marnane, W., Boylan, G. and Lightbody, G. (2012) Temporal evolution of seizure burden for automated neonatal EEG classification IEEE EMBC [Details]
(2012)IEEE EMBC
Nagaraj, S.B. ,Stevenson, N, Marnane, W., Boylan, G. and Lightbody, G. (2012) A novel dictionary for neonatal EEG seizure detection using atomic decomposition IEEE EMBC [Details]

Associations

 AssocationFunctionFrom / 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
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.