Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …
through the utilization of brain waves. It is worth noting that the application of BCI is not …
Smart home-based IoT for real-time and secure remote health monitoring of triage and priority system using body sensors: Multi-driven systematic review
Abstract The Internet of Things (IoT) has been identified in various applications across
different domains, such as in the healthcare sector. IoT has also been recognised for its …
different domains, such as in the healthcare sector. IoT has also been recognised for its …
Making sense of spatio-temporal preserving representations for EEG-based human intention recognition
Brain-computer interface (BCI) is a system empowering humans to communicate with or
control the outside world with exclusively brain intentions. Electroencephalography (EEG) …
control the outside world with exclusively brain intentions. Electroencephalography (EEG) …
MAtt: A manifold attention network for EEG decoding
YT Pan, JL Chou, CS Wei - Advances in Neural Information …, 2022 - proceedings.neurips.cc
Recognition of electroencephalographic (EEG) signals highly affect the efficiency of non-
invasive brain-computer interfaces (BCIs). While recent advances of deep-learning (DL) …
invasive brain-computer interfaces (BCIs). While recent advances of deep-learning (DL) …
A Systematic Review of Using Deep Learning Technology in the Steady‐State Visually Evoked Potential‐Based Brain‐Computer Interface Applications: Current …
The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
Electronic medical record systems: Decision support examination framework for individual, security and privacy concerns using multi-perspective analysis
Electronic medical record (EMR) is currently a popular topic in e-health. EMR includes the
health-related information of patients and forms the main factor of e-health applications …
health-related information of patients and forms the main factor of e-health applications …
Motor-imagery EEG-based BCIs in wheelchair movement and control: A systematic literature review
The pandemic emergency of the coronavirus disease 2019 (COVID-19) shed light on the
need for innovative aids, devices, and assistive technologies to enable people with severe …
need for innovative aids, devices, and assistive technologies to enable people with severe …
A comprehensive review of deep learning power in steady-state visual evoked potentials
Brain–computer interfacing (BCI) research, fueled by deep learning, integrates insights from
diverse domains. A notable focus is on steady-state visual evoked potential (SSVEP) in BCI …
diverse domains. A notable focus is on steady-state visual evoked potential (SSVEP) in BCI …
FGANet: fNIRS-guided attention network for hybrid EEG-fNIRS brain-computer interfaces
Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding,
linking neural signals to control devices. Hybrid BCI systems using electroencephalography …
linking neural signals to control devices. Hybrid BCI systems using electroencephalography …
EEG-based eye movement recognition using brain–computer interface and random forests
E Antoniou, P Bozios, V Christou, KD Tzimourta… - Sensors, 2021 - mdpi.com
Discrimination of eye movements and visual states is a flourishing field of research and
there is an urgent need for non-manual EEG-based wheelchair control and navigation …
there is an urgent need for non-manual EEG-based wheelchair control and navigation …