Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Tracey A. Cassar"'
Autor:
Suliman Belal, Kenneth P. Camilleri, Michalis Zervakis, Tracey A. Cassar, Mircea Besleaga, Barrie Jervis, Kostas Michalopoulos, Simon G. Fabri, Cristin Bigan
Publikováno v:
Current Alzheimer Research. 7:334-347
Summarization: The objective was to characterize the non-oscillatory independent components (ICs) of the auditory event-related potential (ERP) waveform of an oddball task for normal and newly diagnosed Alzheimer's disease (AD) subjects, and to seek
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d23552d3ccf4fb2c7207cdfd940e44fc
https://doi.org/10.2174/156720510791162412
https://doi.org/10.2174/156720510791162412
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 4:494-503
Model order estimation is fundamental in the system identification process. In this paper, we generalize a previous multivariate autoregressive (AR) model order estimation method (J. Lardies and N. Larbi, ?A new method for model order selection and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::454761627097ab7c9dc464c7f4aaeecb
https://doi.org/10.1109/jstsp.2010.2048237
https://doi.org/10.1109/jstsp.2010.2048237
Autor:
Barrie Jervis, Michalis Zervakis, Kostas Michalopoulos, Suliman Belal, Cristin Bigan, Mircea Besleaga, Joseph Muscat, Kenneth P. Camilleri, David Edmund Johannes Linden, Simon G. Fabri, Tracey A. Cassar
Publikováno v:
Physiological Measurement. 28:745-771
Summarization: The back-projected independent components (BICs) of single-trial, auditory P300 and contingent negative variation (CNV) evoked potentials (EPs) were derived using independent component analysis (ICA) and cluster analysis. The method wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6889be52ed983413ebbbda194516d127
https://doi.org/10.1088/0967-3334/28/8/001
https://doi.org/10.1088/0967-3334/28/8/001
Publikováno v:
Biomedical Engineering, Trends in Electronics, Communications and Software
Electroencephalographic (EEG) data is widely used as a biosignal for the identification of different mental states in the human brain. EEG signals can be captured by relatively inexpensive equipment and acquisition procedures are non-invasive and not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::015df2e307088020d607a1e473daf711
http://www.intechopen.com/articles/show/title/parametric-modelling-of-eeg-data-for-the-identification-of-mental-tasks
http://www.intechopen.com/articles/show/title/parametric-modelling-of-eeg-data-for-the-identification-of-mental-tasks
Autor:
Ciprian Doru Giurcaneanu, Simon G. Fabri, Cristin Bigan, Tracey A. Cassar, Michalis Zervakis, Vangelis Sakkalis, Eleni Karakonstantaki, Kostas Michalopoulos, Sifis Micheloyannis, Kenneth P. Camilleri
Publikováno v:
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation, Vol 7, Iss 1, p 24 (2010)
Journal of NeuroEngineering and Rehabilitation, Vol 7, Iss 1, p 24 (2010)
This work was supported in part by the EC-IST project Biopattern, contract no: 508803, by the EC ICT project TUMOR, contract no: 247754, by the University of Malta grant LBA-73-695, by an internal grant from the Technical University of Crete, ELKE# 8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f28d255ad6943c3afbfc2c52c728e52
https://doi.org/10.1186/1743-0003-7-24
https://doi.org/10.1186/1743-0003-7-24
Three-Mode Classification and Study of AR Pole Variations of Imaginary Left and Right Hand Movements
Publikováno v:
Mechatronic Systems and Control. 7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7903371fe92404c12c9e2fb7f7c30b1a
https://doi.org/10.2316/j.2010.216.680-0174
https://doi.org/10.2316/j.2010.216.680-0174
Publikováno v:
2009 Third International Conference on Advanced Engineering Computing and Applications in Sciences.
Parametric models, in particular Autoregressive Moving Average (ARMA) models and their affiliates, are widely used in computational models of biomedical signals to fit a model to a recorded time series. An important step in this system identification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a729c2a7712c044776e91c27ff84fd1
https://doi.org/10.1109/advcomp.2009.33
https://doi.org/10.1109/advcomp.2009.33
Autor:
Bart Vanrumste, Michalis Zervakis, Tracey A. Cassar, Vangelis Sakkalis, Roberta Grech, Petros Xanthopoulos, Joseph Muscat, Kenneth P. Camilleri, Simon G. Fabri
Publikováno v:
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation, Vol 5, Iss 1, p 25 (2008)
Journal of NeuroEngineering and Rehabilitation, Vol 5, Iss 1, p 25 (2008)
In this primer, we give a review of the inverse problem for EEG source localization. This is intended for the researchers new in the field to get insight in the state-of-the-art techniques used to find approximate solutions of the brain sources givin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b828e0a9f4c7b208f3b8384ee4e6805d
https://pubmed.ncbi.nlm.nih.gov/18990257
https://pubmed.ncbi.nlm.nih.gov/18990257
Publikováno v:
2008 3rd International Symposium on Communications, Control and Signal Processing.
Parametric models are widely used for EEG data analysis. In this experimental study an autoregressive moving average (ARMA) model was used to extract spectral features within defined frequency bands which were then used to discriminate a group of chi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99ec809e71b87709c2f441e62f4d2718
https://doi.org/10.1109/isccsp.2008.4537186
https://doi.org/10.1109/isccsp.2008.4537186
Autor:
Eleni Karakonstantaki, Kenneth P. Camilleri, Sifis Micheloyannis, Michalis Zervakis, Vangelis Sakkalis, Cristin Bigan, Simon G. Fabri, Tracey A. Cassar
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2008 (2008)
Computational Intelligence and Neuroscience, Vol 2008 (2008)
This work was supported in part by the EC-IST project Biopattern, Contract no. 508803, and by the internal research grant of the University of Malta LBA-73-967.
There is an important evidence of differences in the EEG frequency spectrum of contr
There is an important evidence of differences in the EEG frequency spectrum of contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a414c0aac76cf84fc1ce5c823e5642b4