Publications

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2012
Tana, M, Bianchi A, Sclocco R, Franchin T, Cerutti S, Leal A.  2012.  . Parcel-Based Connectivity Analysis of fMRI Data for the Study of Epileptic Seizure Propagation.. Brain Topography . (DOI:10.1007/s10548-012-0225-2)
SCUTARU, G, SANDU F, COCORADA E, PAVALACHE M, Gomes L, Coito F, MÖRSKY-LINDQUIST AK, TALABA D, NEUNDORF V, FEDAK V, Others.  2012.  Konsoliderad rapport ang{\aa}ende användning av VR och fjärrexperiment i utbildning. Abstract

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SCUTARU, G, SANDU F, COCORADA E, PAVALACHE M, KRISTALY D, Gomes L, Coito F, MÖRSKY-LINDQUIST AK, CSEREY S, DASC{\u A}LU M, Others.  2012.  RELAZIONE SUGLI ASPETTI FORMATIVI. Abstract

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Antunes, R, Coito F, Duarte-Ramos H.  2012.  Improving Operator Performance through the Use of a Multivariable Human-Machine Control Strategy. Technological Innovation for Value Creation. :95–104.: Springer Boston Abstract

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Pereira, P, Fino H, Coito F, Ventim-Neves M.  2012.  Optimization-Based Design of Nano-CMOS LC-VCOs. Technological Innovation for Value Creation. :453–464.: Springer Boston Abstract

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Pereira, P, Coito F, Fino H.  2012.  PSO-Based Design of RF Integrated Inductor. Technological Innovation for Value Creation. :475–482.: Springer Boston Abstract

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Pereira, P, Sallem A, Fakhfakh M, Fino MH, Coito F.  2012.  A Technology-Aware Optimization of RF Integrated Inductors. : Nova Science Publishers, Inc. Abstract

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2011
Palma, LB, Coito FV, Gil PS, Neves-Silva R.  2011.  Design of Adaptive PCA Controllers for SISO Systems. 18th IFAC World Congress. Abstract

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Lopes, R, Cabral P, Canas N, Breia P, Foreid JP, Calado E, Silva R, Leal A.  2011.  N170 asymmetry as an index of inferior occipital dysfunction in patients with symptomatic occipital lobe epilepsy. Clinical Neurophysiology. 122:9-15.
Costa, JC, Ortigueira MD, Batista AG.  2011.  ARMA Modelling of Sleep Spindles. Second IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems. : Doceis Abstract
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Brito Palma, LFF, Coito FJ, Gil P, Neves-Silva R.  2011.  Design of Adaptive PCA Controllers for SISO Systems. World Congress. 18:5483–5488., Number 1 Abstract

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Carneiro, M, Batista AG, Ortigueira MD.  2011.  EEG artifact removal with ICA analysis. Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2011. Abstract
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Cardoso, NV, Batista AG, Ortigueira MD.  2011.  EEG Features Extraction for Sleep Classification and Spindle Detection. Doctoral Conference on Computing on Computing, Electrical and Industrial Systems. Abstract
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Antunes, R, Coito F, Duarte-Ramos H.  2011.  A Linear Approach towards Modeling Human Behavior. Technological Innovation for Sustainability. :305–314.: Springer Abstract

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Palma, LB, Coito FV, Gil PS.  2011.  Real-time detection of oscillations in control loops. Power Engineering, Energy and Electrical Drives (POWERENG), 2011 International Conference on. :1–6.: IEEE Abstract

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Pereira, P, Helena Fino M, Coito F, Ventim-Neves M.  2011.  RF integrated inductor modeling and its application to optimization-based design. Analog Integrated Circuits and Signal Processing. :1–9.: Springer Abstract

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Costa, F, Coito F, Palma L.  2011.  Switched Unfalsified Multicontroller. Technological Innovation for Sustainability. :393–401.: Springer Abstract

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Palma, LB, Coito FV.  2011.  Tuning PCA controllers based on manual control data. Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference on. :1–4.: IEEE Abstract

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Coito, F, Palma LB.  2011.  Unfalsification based Fault Tolerant Controller. Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference on. :1–4.: IEEE Abstract

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2010
Cardoso, E.  2010.  Classificação automática do sono: contribuição utilizando distância de itakura-saito e wavelets, March. (Arnaldo Batista, Manuel Ortigueira, Rui Rodrigues, Eds.).: FCT-UNL Abstract
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Cardoso, E, Batista A, Rodrigues R, Ortigueira M, Bárbara C, Martinho C, Rato R.  2010.  A Contribution for the Automatic Sleep Classification Based on the Itakura-Saito Spectral Distance. Emerging Trends in Technological Innovation. 314:374–381. Abstract

Sleep staging is a crucial step before the scoring the sleep apnoea, in subjects that are tested for this condition. These patients undergo a whole night polysomnography recording that includes EEG, EOG, ECG, EMG and respiratory signals. Sleep staging refers to the quantification of its depth. Despite the commercial sleep software being able to stage the sleep, there is a general lack of confidence amongst health practitioners of these machine results. Generally the sleep scoring is done over the visual inspection of the overnight patient EEG recording, which takes the attention of an expert medical practitioner over a couple of hours. This contributes to a waiting list of two years for patients of the Portuguese Health Service. In this work we have used a spectral comparison method called Itakura distance to be able to make a distinction between sleepy and awake epochs in a night EEG recording, therefore automatically doing the staging. We have used the data from 20 patients of Hospital Pulido Valente, which had been previously visually expert scored. Our technique results were promising, in a way that Itakura distance can, by itself, distinguish with a good degree of certainty the N2, N3 and awake states. Pre-processing stages for artefact reduction and baseline removal using Wavelets were applied.

Pereira, P, Fino M, Coito F, Ventim-Neves M.  2010.  GADISI–Genetic Algorithms Applied to the Automatic Design of Integrated Spiral Inductors. Emerging Trends in Technological Innovation. :515–522.: Springer Abstract

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Antunes, RM, Coito FV, Duarte-Ramos H.  2010.  Human-machine control model approach to enhance operator skills. Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on. :403–407.: IEEE Abstract

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Ortigueira, MD, Coito FJ.  2010.  System initial conditions vs derivative initial conditions. Computers & Mathematics with Applications. : Elsevier Ltd AbstractWebsite

The alternative system initial conditions versus the derivative initial conditions is focused in this paper. It is shown that Riemann?Liouville and Caputo initial conditions result from the corresponding derivative and not necessarily from the system at hand. To setup the correct system initialization, a formulation generalizing the integer order approach is presented. This is based on a generalization to the fractional environment of the well known jump formula. The obtained scheme is very general and does not depend on any transform. Besides, it can also be used in the time variant case. The Riemann?Liouville and Caputo initial conditions are interpreted in terms of this general framework and deduced equations where they are correct.