ListarIC - Artículos por tema "Electroencefalografía"
Mostrando ítems 1-5 de 5
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Bi-LSTM neural network for EEG-based error detection in musicians’ performance
(Elsevier, 2022-09)Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological ... -
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 ... -
Enhanced average for event-related potential analysis using dynamic time warping
(Elsevier, 2023-10-05)Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often used to capture neural activity related to ... -
Implementation of Tools for Lessening the Influence of Artifacts in EEG Signal Analysis.
(MDPI, 2024-01-23)This manuscript describes an implementation of scripts of code aimed at reducing the influence of artifacts, specifically focused on ocular artifacts, in the measurement and processing of electroencephalogram (EEG) ... -
Unraveling brain synchronisation dynamics by explainable neural networks using EEG signals. Application to dyslexia diagnosis
(Springer, 2024-07)The electrical activity of the neural processes involved in cognitive functions is captured in EEG signals, allowing the exploration of the integration and coordination of neuronal oscillations across multiple spatiotemporal ...