Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Raziyeh Mosayebi"'
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
Joint Analysis of EEG and fMRI datasets can bring new insight into brain mechanisms. In this paper, we employed the recently introduced Correlated Coupled Tensor Matrix Factorization (CCMTF) method for analysis of the emotion regulation paradigm base
Externí odkaz:
https://doaj.org/article/ad6b7f6db67048dbb88fff86dda44c60
Removing the Effect of Hemodynamic Response Function in Joint Factorization of EEG and fMRI Datasets
Publikováno v:
Frontiers in Biomedical Technologies, Vol 6, Iss 2 (2019)
Purpose: One of the most well-known multimodality techniques is the integration of EEG and fMRI datasets. Convolution of EEG signals with hemodynamic response function is one of the most important methods to consider the effect of HRF in the fusion o
Externí odkaz:
https://doaj.org/article/5329907db07e491a9310dd6e6f57c477
Removing the Effect of Hemodynamic Response Function in Joint Factorization of EEG and fMRI Datasets
Publikováno v:
Frontiers in Biomedical Technologies, Vol 6, Iss 2 (2019)
Purpose: One of the most well-known multimodality techniques is the integration of EEG and fMRI datasets. Convolution of EEG signals with hemodynamic response function is one of the most important methods to consider the effect of HRF in the fusion o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24846c4c148e84e91af22800e856c3b3
https://fbt.tums.ac.ir/index.php/fbt/article/view/207
https://fbt.tums.ac.ir/index.php/fbt/article/view/207
Publikováno v:
Biomedical Signal Processing and Control. 62:102071
Objective Fusion of EEG and fMRI data provides complementary information about the brain functions. Thus, data fusion should employ all dimensions of data to both extract the shared information, and distinguish the dissimilarities of modalities. Meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d554f37d35e5c503f3bccf3f4a995f3
https://doi.org/10.1016/j.bspc.2020.102071
https://doi.org/10.1016/j.bspc.2020.102071
Autor:
Fariba Bahrami, Raziyeh Mosayebi
Publikováno v:
Theoretical Biology and Medical Modelling, Vol 15, Iss 1, Pp 1-10 (2018)
Theoretical Biology & Medical Modelling
Theoretical Biology & Medical Modelling
Background Mathematical modeling has achieved a broad interest in the field of biology. These models represent the associations among the metabolism of the biological phenomenon with some mathematical equations such that the observed time course prof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c0ec6135b310995c385e5002643e6b1
https://doi.org/10.1186/s12976-018-0089-6
https://doi.org/10.1186/s12976-018-0089-6
Autor:
Raziyeh Mosayebi, Gevorg B. Gharehpetian, Mohammad S. Golsorkhi, Maryam A. Hejazi, Hamid Sheikhzadeh
Publikováno v:
Electric Power Components and Systems. 42:605-611
In this article, a new bi-static method for the detection and determination of magnitude and location of winding radial deformation in power transformers has been proposed. In this method, which is based on confocal microwave imaging, a ultra-wideban
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c363aa248d12e9b661c6f0bf9c2e6b3f
https://doi.org/10.1080/15325008.2014.880964
https://doi.org/10.1080/15325008.2014.880964
Publikováno v:
ISSPIT
In this paper, a subband blind source separation method based on dynamic modeling for convolutive mixture of speech signals is proposed. We show that by applying a dynamical model to subband signals, some of the drawbacks of the time domain approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d99324b2a41a8eebf51bdffedd6a9c7
https://doi.org/10.1109/isspit.2013.6781897
https://doi.org/10.1109/isspit.2013.6781897