Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Karema Al-Subari"'
Publikováno v:
PLoS ONE, Vol 11, Iss 12, p e0167957 (2016)
Lately, Ensemble Empirical Mode Decomposition (EEMD) techniques receive growing interest in biomedical data analysis. Event-Related Modes (ERMs) represent features extracted by an EEMD from electroencephalographic (EEG) recordings. We present a new a
Externí odkaz:
https://doaj.org/article/64566607f9e742cd8c7d2243d687335b
Autor:
Karema Al-Subari, Saad Al-Baddai, Ana Maria Tomé, Gregor Volberg, Rainer Hammwöhner, Elmar W Lang
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0119489 (2015)
We discuss a data-driven analysis of EEG data recorded during a combined EEG/fMRI study of visual processing during a contour integration task. The analysis is based on an ensemble empirical mode decomposition (EEMD) and discusses characteristic feat
Externí odkaz:
https://doaj.org/article/dd8a81a78bd24a8f94580d89b2810037
Autor:
Karema Al-Subari, Jordi Solé-Casals, Bernd Ludwig, Saad Al-Baddai, Ana Maria Tomé, Esteve Gallego-Jutglà, Pere Marti-Puig, Elmar Lang
Publikováno v:
Soft Computing. 24:3809-3827
Face recognition or verification remains a real challenge in the area of pattern recognition and image processing. The image acquisition process is a crucial step in which noise will inevitably be introduced, and in most cases this noise drastically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4173e408f0d48b0a73a0fab216100fe
https://doi.org/10.1007/s00500-019-04150-9
https://doi.org/10.1007/s00500-019-04150-9
Autor:
Ana Maria Tomé, Elmar Lang, Saad Al-Baddai, Bernd Ludwig, Diego Salas-Gonzales, Karema Al-Subari
Publikováno v:
Biomedical Signal Processing and Control. 30:53-63
We present a new method for decomposing two-dimensional data arrays with empirical mode decomposition (EMD). It performs envelope surface interpolation based on Green's functions in tension (GiT) to extract bi-dimensional intrinsic mode functions (BI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71e8e0368f1295374ca558aed8b5a7df
https://doi.org/10.1016/j.bspc.2016.06.019
https://doi.org/10.1016/j.bspc.2016.06.019
Autor:
Ana Maria Tomé, Saad Al-Baddai, Elmar Lang, Karema Al-Subari, Rupert Faltermeier, Markus Goldhacker
Publikováno v:
Journal of Neuroscience Methods. 253:193-205
Background Empirical mode decomposition (EMD) is an empirical data decomposition technique. Recently there is growing interest in applying EMD in the biomedical field. New method EMDLAB is an extensible plug-in for the EEGLAB toolbox, which is an ope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aae3102e14b9debec8193f64ee7a2a42
https://doi.org/10.1016/j.jneumeth.2015.06.020
https://doi.org/10.1016/j.jneumeth.2015.06.020
Empirical mode decomposition (EMD), a new data-driven of time-series decomposition, has the advantage of supposing that a time series is non-linear or non-stationary, as is implicitly achieved in Fourier decomposition. However, the EMD suffers of mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f28cc12fcd67c4bc4e4ecbbfc94ad0b
Autor:
Karema Al-Subari, Gregor Volberg, Elmar Lang, Ana Maria Tomé, Saad Al-Baddai, Rainer Hammwöhner, Simon Hanslmayr
Publikováno v:
Biomedical Signal Processing and Control. 13:218-236
In cognitive neuroscience, extracting characteristic textures and features from functional imaging modalities which could be useful in identifying particular cognitive states across different conditions is still an important field of study. This pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::381665dad7506cc325ebc79cb9972de7
https://doi.org/10.1016/j.bspc.2014.04.011
https://doi.org/10.1016/j.bspc.2014.04.011
Publikováno v:
RIUVic. Repositorio Institucional de la Universidad de Vic
instname
instname
A new GiT-BEMD algorithm is developed.Based on Green's function with tension.Much faster than canonical BEMD algorithms.Easy to implement and very robust.Superior performance tested on artificial and real images. Bidimensional Empirical Mode Decompos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::893e83de49abaf3d28e03b955ab177e1
https://doi.org/10.1016/j.ins.2016.01.089
https://doi.org/10.1016/j.ins.2016.01.089
Autor:
Karema, Al-Subari, Saad, Al-Baddai, Ana Maria, Tomé, Gregor, Volberg, Rainer, Hammwöhner, Elmar W, Lang
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0119489 (2015)
PLoS ONE
PLoS ONE
We discuss a data-driven analysis of EEG data recorded during a combined EEG/fMRI study of visual processing during a contour integration task. The analysis is based on an ensemble empirical mode decomposition (EEMD) and discusses characteristic feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0f6d7b6744c9f92144c2d05b332f87f
Autor:
Karema Al-Subari, Ana Maria Tomé, Saad Al-Baddai, Jordi Solé-Casals, Esteve Gallego-Jutglà, Elmar Lang
Publikováno v:
Scopus-Elsevier
BIOSIGNALS
CIÊNCIAVITAE
RIUVic. Repositorio Institucional de la Universidad de Vic
instname
BIOSIGNALS
CIÊNCIAVITAE
RIUVic. Repositorio Institucional de la Universidad de Vic
instname
BIOSIGNALS 2015 In this study the use of a new fast and stable decomposition technique, bi-dimensional empirical mode decomposition, is used for face recognition tasks. Images are decomposed individually, and then the distance with reference images i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b8b203ee2f42cd15bf652764bd13807
http://www.scopus.com/inward/record.url?eid=2-s2.0-84938888746&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84938888746&partnerID=MN8TOARS