Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Saad Al-Baddai"'
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:
Saad Al-Baddai, Martin Juhrisch, Jan Papadoudis, Anna Renner, Lippmann Bernhard, Cristina De Luca, Fabian Haas, Wolfgang Schober
Publikováno v:
Artificial Intelligence for Digitising Industry – Applications ISBN: 9781003337232
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e27e429388b562e30f50c040ce0ff65a
https://doi.org/10.1201/9781003337232-14
https://doi.org/10.1201/9781003337232-14
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
Autor:
Shuqing Chen, Saad Al-Baddai, Theresa Ida Götz, Elmar Lang, Torsten Kuwert, Christian Schmidkonz
Publikováno v:
Physics in medicine and biology. 65(3)
Purpose: Currently methods for predicting absorbed dose after administering a radiopharmaceutical are rather crude in daily clinical practice. Most importantly individual tissue density distributions as well as local variations of the concentration o
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
Autor:
Diego Salas-Gonzalez, Saad Al-Baddai, Carlos G. Puntonet, Vincent Vigneron, Ana Maria Tomé, Juan Manuel Górriz, Elmar Lang, Andreas Neubauer
Publikováno v:
Current Alzheimer Research. 13:695-707
Positron emission tomography (PET) provides a functional imaging modality to detect signs of dementias in human brains. Two-dimensional empirical mode decomposition (2D-EMD) provides means to analyze such images. It decomposes the latter into charact
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
Publikováno v:
UMAP (Adjunct Publication)
Digital museum guides - often together with eye trackers as innovative gadgets for intuitive interaction - provide attractive new ways for museums to communicate information to visitors and analyze their behaviour. In this paper, we investigate an ap
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