Blar i NTNU Open på forfatter "Bueno-Lopez, Maximiliano"
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Analysis of Epileptic Activity Based on Brain Mapping of EEG Adaptive Time-Frequency Decomposition
Bueno-Lopez, Maximiliano; Muñoz-Gutiérrez, Pablo A.; Eduardo, Giraldo; Molinas Cabrera, Maria Marta (Chapter, 2018)The applications of Empirical Mode Decomposition (EMD) in Biomedical Signal analysis have increased and is common now to find publications that use EMD to identify behaviors in the brain or heart. EMD has shown excellent ... -
Decentralized Fuzzy-Based Voltage Control for LV Distribution Systems
Bernal, Efrain; Bueno-Lopez, Maximiliano; Molinas Cabrera, Maria Marta (Chapter, 2017)With the inclusion of Information and Communication Technology (ICT) components into the lowvoltage (LV) distribution grid, some measurement data from smart meters are available for the control of the distribution networks ... -
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 ... -
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 ... -
Time-Frequency analysis for nonlinear and non-stationary signals using HHT: A mode mixing separation technique
Gasca, Maria Victoria; Molinas Cabrera, Maria Marta; Fosso, Olav B; Bueno-Lopez, Maximiliano (Journal article, 2018)Time and frequency localizations are of crucial importance in the analysis of nonlinear and non-stationary processes, especially in systems with high level of complexity where detection of information/events, estimation ... -
Understanding Instantaneous frequency detection: A discussion of Hilbert-Huang Transform versus Wavelet Transform
Bueno-Lopez, Maximiliano; Molinas Cabrera, Maria Marta; Kulia, Geir (Chapter, 2017)Nonlinear and/or nonstationary properties have been observed in measurements coming from microgrids in modern power systems and biological systems. Generally, signals from these two domains are analyzed separately although ...