Imperial College London

DrNicolettaNicolaou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Honorary Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 0875n.nicolaou Website

 
 
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Location

 

B422Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

36 results found

Nicolaou N, Constandinou TG, 2016, A Nonlinear Causality Estimator Based on Non-Parametric Multiplicative Regression, FRONTIERS IN NEUROINFORMATICS, Vol: 10, ISSN: 1662-5196

JOURNAL ARTICLE

Lauteslager T, Nicolaou N, Lande TS, Constandinou Tet al., 2015, Functional neuroimaging using UWB impulse radar: A feasibility study, 11th IEEE Annual Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 406-409, ISSN: 2163-4025

CONFERENCE PAPER

Demarchou E, Georgiou J, Nicolaou N, Constandinou Tet al., 2014, Anesthetic-induced changes in EEG activity: a graph theoretical approach, IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 45-48, ISSN: 2163-4025

CONFERENCE PAPER

Nicolaou N, Georgiou J, 2014, Spatial Analytic Phase Difference of EEG activity during anesthetic-induced unconsciousness, CLINICAL NEUROPHYSIOLOGY, Vol: 125, Pages: 2122-2131, ISSN: 1388-2457

JOURNAL ARTICLE

Nicolaou N, Georgiou J, 2014, Global field synchrony during general anaesthesia, BRITISH JOURNAL OF ANAESTHESIA, Vol: 112, Pages: 529-539, ISSN: 0007-0912

JOURNAL ARTICLE

Nicolaou N, Georgiou J, 2014, Neural Network-Based Classification of Anesthesia/Awareness Using Granger Causality Features, CLINICAL EEG AND NEUROSCIENCE, Vol: 45, Pages: 77-88, ISSN: 1550-0594

JOURNAL ARTICLE

Nicolaou N, Georgiou J, 2014, The Study of EEG Dynamics During Anesthesia with Cross-Recurrence Rate, Cureus, Vol: 6

JOURNAL ARTICLE

Daly I, Nicolaou N, Nasuto SJ, Warwick Ket al., 2013, Automated Artifact Removal From the Electroencephalogram: A Comparative Study, CLINICAL EEG AND NEUROSCIENCE, Vol: 44, Pages: 291-306, ISSN: 1550-0594

JOURNAL ARTICLE

Nicolaou N, Georgiou J, 2013, Towards automatic sleep staging via Cross-Recurrence Rate of EEG and ECG activity, IEEE BioCAS, Pages: 198-201

CONFERENCE PAPER

Nicolaou N, Georgiou J, 2013, Monitoring depth of hypnosis under propofol general anaesthesia: Granger Causality and Hidden Markov Models, Neurotechnix (special session: BrainRehab)

CONFERENCE PAPER

Garreau G, Nicolaou N, Georgiou J, 2012, Individual classification through autoregressive modelling of micro-Doppler signatures, IEEE BioCAS, Pages: 312-315

CONFERENCE PAPER

Nicolaou N, Dionysiou A, Georgiou J, 2012, Temporal dynamics of EEG during anesthesia, 12th IEEE BIBE, Pages: 288-291

CONFERENCE PAPER

Nicolaou N, Georgiou J, 2012, Detection of epileptic electroencephalogram based on Permutation Entropy and Support Vector Machines, EXPERT SYSTEMS WITH APPLICATIONS, Vol: 39, Pages: 202-209, ISSN: 0957-4174

JOURNAL ARTICLE

Nicolaou N, Houris S, Alexandrou P, Georgiou Jet al., 2012, Permutation Entropy: a reliable measure for automatic monitoring of anesthetic depth during surgery?, Engineering Intelligent Systems Journal (Special Issue: Timely developments in Artificial Intelligence Applications), Vol: 20, Pages: 1-10

JOURNAL ARTICLE

Nicolaou N, Hourris S, Alexandrou P, Georgiou Jet al., 2012, EEG-Based Automatic Classification of 'Awake' versus 'Anesthetized' State in General Anesthesia Using Granger Causality, PLOS ONE, Vol: 7, ISSN: 1932-6203

JOURNAL ARTICLE

Garreau G, Nicolaou N, Andreou C, D'Urball C, Stuarts G, Georgiou Jet al., 2011, Computationally efficient classification of human transport mode using micro-Doppler signatures, 45th CISS

CONFERENCE PAPER

Nicolaou N, Georgiou J, 2011, The use of permutation entropy to characterize sleep electroencephalograms., Clin EEG Neurosci, Vol: 42, Pages: 24-28, ISSN: 1550-0594

This work proposes the use of Permutation Entropy (PE), a measure of time-series complexity, to characterize electroencephalogram (EEG) signals recorded during sleep. Such a measure could provide information concerning the different sleep stages and, thus, be utilized as an additional aid to obtain sleep staging information. PE has been estimated for artifact-free 30s segments from more than 80 hours of EEG records obtained from 16 subjects during all-night recordings, from which the mean PE for each sleep stage was obtained. It was found that different sleep stages are characterized by significantly different PE values, which track the physiological changes in the complexity of the EEG signals observed at the different sleep stages. This finding encourages the use of PE as an additional aide to either visual or automated sleep staging.

JOURNAL ARTICLE

Nicolaou N, Houris S, Alexandrou P, Georgiou Jet al., 2011, Entropy measures for discrimination of 'awake' Vs 'anaesthetized' state in recovery from general anesthesia., Pages: 2598-2601, ISSN: 1557-170X

Approximate Entropy (ApEn) and Permutation Entropy (PE) have been recently introduced for assessment of anesthetic depth. Both measures have previously been shown to track changes in the electrical brain activity related to the administration of anesthetic agents. In this paper ApEn and PE are compared for the automatic classification of 'awake' and 'anesthetized' state using a Support Vector Machine to assess their robustness for potential use in a device for monitoring awareness during general anesthesia. It was found that both measures provide linearly separable features and we are able to discriminate between the two states with accuracy greater than 96% using either of the two entropy measures.

CONFERENCE PAPER

Nicolaou N, Houris S, Alexandrou P, Georgiou Jet al., 2011, Cross-Recurrence Rate for discriminating 'conscious' and 'unconscious' state in propofol general anesthesia, IEEE BioCAS, Pages: 416-419

CONFERENCE PAPER

Nicolaou N, Houris S, Alexandrou P, Georgiou Jet al., 2011, Using Granger Causality to characterise bidirectional interactions in the human brain during induction of anaesthesia, BIOSIGNALS

CONFERENCE PAPER

Nicolaou N, Houris S, Alexandrou P, Georgiou Jet al., 2011, Permutation Entropy for discriminating ‘conscious’ and ‘unconscious’ state in general anaesthesia, Engineering Applications of Neural Networks, Editors: Iliadis, Jayne, Publisher: Springer Boston, Pages: 280-288

BOOK CHAPTER

Demosthenous P, Nicolaou N, Georgiou J, 2010, A Hardware-efficient Lowpass filter design for biomedical applications, IEEE BioCAS, Pages: 130-133

CONFERENCE PAPER

Nicolaou N, Georgiou J, 2010, Permutation Entropy: a new feature for Brain-Computer Interfaces, IEEE BioCAS, Pages: 49-52

CONFERENCE PAPER

Nicolaou N, Georgiou J, 2009, Autoregressive model order estimation criteria for monitoring awareness during anaesthesia, Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI'2009), Editors: Papadopoulos, Andreou, Iliadis, Maglogiannis, Publisher: Springer Berlin Heideberg, Pages: 71-80

BOOK CHAPTER

Nicolaou N, Georgiou J, 2009, Towards a Morse Code-Based Non-invasive Though-to-Speech Converter, Biomedical Engineering Systems and Technologies, Editors: Fred, Filipe, Gamboa, Publisher: Springer-Verlag Berlin Heidelberg, Pages: 123-135

BOOK CHAPTER

Nicolaou N, Georgiou J, Polycarpou M, 2008, Autoregressive features for a thought-to-speech converter, BIODEVICES

CONFERENCE PAPER

Nicolaou N, Nasuto SJ, Georgiou J, 2008, Single-trial Event-related potential analysis for Brain-Computer Interfaces, AISB, Pages: 13-18

CONFERENCE PAPER

Nicolaou N, Petroudi S, Georgiou J, Polycarpou M, Brady Met al., 2008, Digital mammography: towards pectoral muscle removal via Independent Component Analysis, IEE MEDSIP

CONFERENCE PAPER

Petroudi S, Nicolaou N, Georgiou J, Brady Met al., 2008, Breast abnormality detection incorporating breast density information based on Independent Component Analysis, IWDM, Pages: 667-673

CONFERENCE PAPER

Nicolaou N, Nasuto SJ, 2007, Automatic artefact removal from event-related potentials via clustering, JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, Vol: 48, Pages: 173-183, ISSN: 0922-5773

JOURNAL ARTICLE

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