A comprehensive review of EEG-based brain–computer interface paradigms
Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
Deep learning for healthcare applications based on physiological signals: A review
Background and objective: We have cast the net into the ocean of knowledge to retrieve the
latest scientific research on deep learning methods for physiological signals. We found 53 …
latest scientific research on deep learning methods for physiological signals. We found 53 …
Explainable AI over the Internet of Things (IoT): Overview, state-of-the-art and future directions
SK Jagatheesaperumal, QV Pham… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by
enhancing the trust of end-users in machines. As the number of connected devices keeps on …
enhancing the trust of end-users in machines. As the number of connected devices keeps on …
Data analytics in steady-state visual evoked potential-based brain–computer interface: A review
Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI)
which enables paralyzed people to directly communicate with and control external devices …
which enables paralyzed people to directly communicate with and control external devices …
Spatial filtering in SSVEP-based BCIs: Unified framework and new improvements
Objective: In the steady-state visual evoked potential (SSVEP)-based brain computer
interfaces (BCIs), spatial filtering, which combines the multi-channel …
interfaces (BCIs), spatial filtering, which combines the multi-channel …
Simulating brain signals: Creating synthetic eeg data via neural-based generative models for improved ssvep classification
NKN Aznan, A Atapour-Abarghouei… - … joint conference on …, 2019 - ieeexplore.ieee.org
Despite significant recent progress in the area of Brain-Computer Interface (BCI), there are
numerous shortcomings associated with collecting Electroencephalography (EEG) signals …
numerous shortcomings associated with collecting Electroencephalography (EEG) signals …
To train or not to train? A survey on training of feature extraction methods for SSVEP-based BCIs
Objective. Despite the vast research aimed at improving the performance of steady-state
visually evoked potential (SSVEP)-based brain–computer interfaces (BCIs), several …
visually evoked potential (SSVEP)-based brain–computer interfaces (BCIs), several …
A novel training-free recognition method for SSVEP-based BCIs using dynamic window strategy
Objective. Filter bank canonical correlation analysis (FBCCA) is a widely-used classification
approach implemented in steady-state visual evoked potential (SSVEP)–based brain …
approach implemented in steady-state visual evoked potential (SSVEP)–based brain …
IoT health devices: exploring security risks in the connected landscape
The concept of the Internet of Things (IoT) spans decades, and the same can be said for its
inclusion in healthcare. The IoT is an attractive target in medicine; it offers considerable …
inclusion in healthcare. The IoT is an attractive target in medicine; it offers considerable …
Fatigue detection in SSVEP-BCIs based on wavelet entropy of EEG
Among various types of brain computer interfaces (BCIs), steady state visually evoked
potential (SSVEP) based BCIs can provide high information transfer rate (ITR), however the …
potential (SSVEP) based BCIs can provide high information transfer rate (ITR), however the …