ListarIngeniería de Comunicaciones - (IC) por tema "EEG"
Mostrando ítems 1-12 de 12
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Bi-LSTM Neural Network for EEG-based detection of musical characteristics
(2023)Electroencephalography (EEG) combined with Deep Learning and digital signal processing allows for mental activity recognition. In our study, a new feature extraction model-based is presented when combined with Bi-LSTM ... -
Companion files (code & dataset) - Matlab-Fieldtrip Implementation of Tools for Lessening the Influence of Artifacts in EEG Analysis
(2023)Companion files (code & dataset) - Matlab-Fieldtrip Implementation of Tools for Lessening the Influence of Artifacts in EEG Analysis This manuscript describes software tools implemented in Matlab to reduce the influence ... -
Complete E-Prime experiment, including code and media files, to perform synchronized EEG data recordings according to the experiment and descriptions in ‘Neural processing of Musical Mode through EEG signals’.
(Grupo de Aplicación de las Tecnologías de la Información y Comunicaciones (ATIC), 2024)Complete E-Prime experiment, including code and media files, suitable to perform synchronized EEG data recordings according to the experiment and descriptions in: "Neural processing of Musical Mode through EEG signals" are ... -
Complex network modelling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis
(Elsevier, 2022-01-05)Complex network analysis has an increasing relevance in the study of neurological disorders, enhancing the knowledge of brain’s structural and functional organization. Network structure and efficiency reveal different ... -
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.
(World Scientific, 2020-06-04)Diagnosis of learning difficulties is a challenging goal. There are huge number of factors involved in the evaluation procedure that present high variance among the population with the same difficulty. Diagnosis is usually ... -
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia
(International Journal of Neural Systems, 2023)While the brain connectivity network can inform the understanding and diagnosis of developmental dyslexia, its cause-effect relationships have not yet enough been examined. Employing electroencephalography signals and ... -
EEG Signal Analysis for the Detection of Spoken Language Comprehension
(2022-09)The human brain performs a series of complex processing steps to translate spoken language from mere sound into meaning. In this article, through the analysis of electroencephalogram (EEG) signals, we try to identify those ... -
Enhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection.
(Springer Nature, 2024)In this study, we introduced and applied a novel histogram transformation technique to enhance the interpretability and discriminative power of Cross-Frequency Coupling (CFC) maps derived from EEG signals for dyslexia ... -
Explainable Exploration of the Interplay between HRV Features and EEG Local Connectivity Patterns in Dyslexia.
(2024-06-07)Heart Rate Variability (HRV) is a measure of the variation in time between successive heartbeats, reflecting the influence of the au- tonomic nervous system on the heart. It can provide insights into the bal- ance between ... -
Hybrid genetic algorithm for clustering IC topographies of EEGs
(Springer, 2023)Clustering of independent component (IC) topographies of Electroencephalograms (EEG) is an effective way to find brain-generated IC processes associated with a population of interest, particularly for those cases where ... -
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia
(2022)Methods like Electroencephalography (EEG) and magnetoencephalogram (MEG) record brain oscillations and provide an invaluable insight into healthy and pathological brain function. These signals are helpful to study and ... -
Probabilistic and explainable modeling of Phase–Phase Cross-Frequency Coupling patterns in EEG. Application to dyslexia diagnosis
(Elsevier, 2024)This work explores the intricate neural dynamics associated with dyslexia through the lens of Cross-Frequency Coupling (CFC) analysis applied to electroencephalography (EEG) signals evaluated from 48 seven-year-old Spanish ...