[HTML][HTML] Feature engineering of EEG applied to mental disorders: a systematic mapping study
S García-Ponsoda, J García-Carrasco, MA Teruel… - Applied …, 2023 - Springer
Around a third of the total population of Europe suffers from mental disorders. The use of
electroencephalography (EEG) together with Machine Learning (ML) algorithms to diagnose …
electroencephalography (EEG) together with Machine Learning (ML) algorithms to diagnose …
A brief overview on analysis and feature extraction of electroencephalogram signals
N Behzadfar - Signal Processing and Renewable Energy, 2022 - spre.stb.iau.ir
Human brain cells are active even during sleep and communicate through electrical
impulses. Electroencephalogram (EEG) signals can be used to extract the correct …
impulses. Electroencephalogram (EEG) signals can be used to extract the correct …
Feature selection for EEG data based on logistic regression
AY Timofeeva, MS Murtazina - 2021 XV International Scientific …, 2021 - ieeexplore.ieee.org
The article examines the application of dimensionality reduction methods based on logistic
regression, such as stepwise selection and LASSO, when solving the problem of feature …
regression, such as stepwise selection and LASSO, when solving the problem of feature …
Bibliometric Analysis of the Research Landscape in Human-Computer Interaction in Ibero-America
La interacción humano-computadora es una disciplina centrada en la optimización de las
interfaces hombre-máquina. Iberoamérica es una región destacada en cuanto a avances en …
interfaces hombre-máquina. Iberoamérica es una región destacada en cuanto a avances en …
Bibliometric Analysis of the Research Landscape in Human-Computer Interaction in Ibero-America
A Solis, PHR Melenje, VA Delgado, A Mon… - …, 2024 - dialnet.unirioja.es
Abstract Human-Computer Interaction (HCI) is a research discipline that optimizes human-
machine interfaces. Ibero-America has become a leading region in HCI advances adapted …
machine interfaces. Ibero-America has become a leading region in HCI advances adapted …
Design an Efficient FPGA Based Hardware Implementation for Real-Time Mobile Epileptic Seizure Prediction Using Deep Neural Network
Epilepsy is a neurological condition that distresses millions of individuals throughout the
world. The lives of epileptic patients are greatly influenced by the early detection of …
world. The lives of epileptic patients are greatly influenced by the early detection of …
[PDF][PDF] Bibliometric Analysis of the Research Landscape in Human-Computer Interaction in Ibero-America
Abstract Human-Computer Interaction (HCI) is a research discipline that optimizes human-
machine interfaces. Ibero-America has become a leading region in HCI advances adapted …
machine interfaces. Ibero-America has become a leading region in HCI advances adapted …