Blar i NTNU Open på forfatter "Giraldo, Eduardo"
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Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization
Soler, Andres; Moctezuma, Luis Alfredo; Giraldo, Eduardo; Molinas, Marta (Peer reviewed; Journal article, 2022)High-density Electroencephalography (HD-EEG) has proven to be the EEG montage that estimates the neural activity inside the brain with highest accuracy. Multiple studies have reported the effect of electrode number on ... -
Automatic Selection of Frequency Bands for Electroencephalographic Source Localization
Munoz, Pablo; Giraldo, Eduardo; Lopez, Maximiliano Bueno; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2019)This paper shows a method to locate actives sources from pre-processed electroencephalographic signals. These signals are processed using multivariate empirical mode decomposition (MEMD). The intrinsic mode functions are ... -
DYNLO: Enhancing Non-linear Regularized State Observer Brain Mapping Technique by Parameter Estimation with Extended Kalman Filter
Soler Guevara, Andres Felipe; Giraldo, Eduardo; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2019)The underlying activity in the brain can be estimated using methods based on discrete physiological models of the neural activity. These models involve parameters for weighting the estimated source activity of previous ... -
EEG source imaging of hand movement-related areas: An evaluation of the reconstruction accuracy with optimized channels
Soler, Andres; Giraldo, Eduardo; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2023)The hand motor activity can be identified and converted into commands for controlling machines through a brain-computer-interface (BCI) system. Electroencephalography (EEG) based BCI systems employ electrodes to measure ... -
Low-Density EEG for Neural Activity Reconstruction Using Multivariate Empirical Mode Decomposition
Soler Guevara, Andres Felipe; Munoz, Pablo; Bueno-Lopez, Maximiliano; Giraldo, Eduardo; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2020)Several approaches can be used to estimate neural activity. The main differences between them concern the a priori information used and its sensitivity to high noise levels. Empirical mode decomposition (EMD) has been ... -
Low-Density EEG for Source Activity Reconstruction using Partial Brain Models
Soler Guevara, Andres Felipe; Giraldo, Eduardo; Molinas Cabrera, Maria Marta (Chapter, 2020)Brain mapping studies have shown that the source reconstruction performs with high accuracy by using high-density EEG montages, however, several EEG devices in the market provide low-density configurations andthus source ... -
Low-density EEG Source Reconstruction: Towards an Automated Framework for Minimizing Electrode Count While Retaining High Accuracy
Soler, Andres (Doctoral theses at NTNU;2022:196, Doctoral thesis, 2022)In this thesis, multiple approaches for electroencephalographic (EEG) source reconstruction using low-density electrode counts are introduced. Source reconstruction provides valuable information about the location and ... -
Partial Brain Model For real-time classification of RGB visual stimuli: A brain mapping approach to BCI
Soler Guevara, Andres Felipe; Molinas Cabrera, Maria Marta; Giraldo, Eduardo (Chapter, 2019)Brain-computer interface (BCI) applications are characterized by real-time feature extraction and classification. Thus, brain activity reconstruction is not generally performed due to the long computation times required ... -
Relevance-based Channel Selection for EEG Source Reconstruction: An Approach to Identify Low-density Channel Subsets
Soler, Andres; Giraldo, Eduardo; Lundheim, Lars Magne; Molinas Cabrera, Maria Marta (Chapter, 2022)Abstract: Electroencephalography (EEG) Source Reconstruction is the estimation of the underlying neural activity at cortical areas. Currently, the most accurate estimations are done by combining the information registered ... -
The Mode Mixing Problem and its Influence in the Neural Activity Reconstruction
Bueno-Lopez, Maximiliano; Giraldo, Eduardo; Molinas Cabrera, Maria Marta; Fosso, Olav B (Journal article; Peer reviewed, 2019)This paper presents and discusses the challenge of mode mixing when using the Empirical Mode Decomposition (EMD) to identify intrinsic modes from EEG signals used for neural activity reconstruction. The standard version ...