A CNN-based deep learning approach for SSVEP detection targeting binaural ear-EEG
P Israsena, S Pan-Ngum - Frontiers in Computational Neuroscience, 2022 - frontiersin.org
This paper discusses a machine learning approach for detecting SSVEP at both ears with
minimal channels. SSVEP is a robust EEG signal suitable for many BCI applications. It is …
minimal channels. SSVEP is a robust EEG signal suitable for many BCI applications. It is …
Automated detection of auditory response: non-detection stopping criterion and repeatability studies for multichannel EEG
PN Vaz, F Antunes, EMAM Mendes… - Computer Methods in …, 2024 - Taylor & Francis
Abstract An Auditory Steady-State Response (ASSR) is a valuable tool for determining
auditory thresholds in individuals who are either unable or unwilling to cooperate with …
auditory thresholds in individuals who are either unable or unwilling to cooperate with …
Novel frequency-based approach for detection of steady-state visual evoked potentials for realization of practical brain computer interfaces
Various algorithms for recognizing Steady-State Visual Evoked Potentials have been
proposed over the last decade for realizing Brain-Computer Interfaces. However, frequency …
proposed over the last decade for realizing Brain-Computer Interfaces. However, frequency …
Analysis of the spatiotemporal MVDR filter applied to BCI-SSVEP and a filter bank extension
GV Vargas, SN Carvalho, L Boccato - Biomedical Signal Processing and …, 2022 - Elsevier
Artifacts inevitably permeate brain signal acquisition by electroencephalography (EEG).
Hence, brain-computer interfaces based on steady-state visually evoked potentials (BCI …
Hence, brain-computer interfaces based on steady-state visually evoked potentials (BCI …
Análise de estratégias de testes sequenciais e de métodos de descorrelação do EEG multicanal na detecção automática de resposta auditiva
PN Vaz - 2023 - repositorio.ufmg.br
Resumo A Resposta Auditiva de Regime Permanente (ASSR) constitui uma ferramenta
crucial na determinação dos limiares auditivos em indivíduos que, por diversas razões, não …
crucial na determinação dos limiares auditivos em indivíduos que, por diversas razões, não …
Analysis of the Influence of the MVDR Filter Parameters on the Performance of SSVEP-Based BCI
LB Lima, RF Viana, JM Rosa-Jr, HMA Leite… - Brazilian Conference on …, 2022 - Springer
Abstract Brain-Computer Interface (BCI) is a communication method based on brain signals
analysis. The interface enables controlling applications such as a wheelchair with minimal …
analysis. The interface enables controlling applications such as a wheelchair with minimal …
Forty-Class SSVEP-Based Brain-Computer Interface to Inter-subject Using Complex Spectrum Features
Abstract The Steady-State Visually Evoked Potential (SSVEP) is one of the most popular
paradigms for Brain-Computer Interface (BCI) applications. In this study, we address two …
paradigms for Brain-Computer Interface (BCI) applications. In this study, we address two …
[PDF][PDF] Avaliação do desempenho de técnicas de estimação espectral em interfaces cérebro-computador
E Monteiro, R Ferrari - biblioteca.sbrt.org.br
Interfaces cérebro-computador (BCI) são sistemas que, ao interpretar a atividade cerebral,
fornecem um meio de comunicação alternativo, possibilitando diversas aplicações …
fornecem um meio de comunicação alternativo, possibilitando diversas aplicações …