Summary of over fifty years with brain-computer interfaces—a review
Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …
way to the epicenter of scientific interest. Many scientists from all around the world have …
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
A brain–computer interface (BCI) can connect humans and machines directly and has
achieved successful applications in the past few decades. Many new BCI paradigms and …
achieved successful applications in the past few decades. Many new BCI paradigms and …
Improving the performance of individually calibrated SSVEP-BCI by task-discriminant component analysis
A brain-computer interface (BCI) provides a direct communication channel between a brain
and an external device. Steady-state visual evoked potential based BCI (SSVEP-BCI) has …
and an external device. Steady-state visual evoked potential based BCI (SSVEP-BCI) has …
Robust similarity measurement based on a novel time filter for SSVEPs detection
The steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has
received extensive attention in research for the less training time, excellent recognition …
received extensive attention in research for the less training time, excellent recognition …
BETA: A large benchmark database toward SSVEP-BCI application
The brain-computer interface (BCI) provides an alternative means to communicate and it has
sparked growing interest in the past two decades. Specifically, for Steady-State Visual …
sparked growing interest in the past two decades. Specifically, for Steady-State Visual …
Inter-and intra-subject transfer reduces calibration effort for high-speed SSVEP-based BCIs
Objective: Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces
(BCIs) that can deliver a high information transfer rate (ITR) usually require subject's …
(BCIs) that can deliver a high information transfer rate (ITR) usually require subject's …
Align and pool for EEG headset domain adaptation (ALPHA) to facilitate dry electrode based SSVEP-BCI
Objective: The steady-state visual evoked potential based brain-computer interface (SSVEP-
BCI) implemented in dry electrodes is a promising paradigm for alternative and …
BCI) implemented in dry electrodes is a promising paradigm for alternative and …
Online adaptation boosts SSVEP-based BCI performance
Objective: A user-friendly steady-state visual evoked potential (SSVEP)-based brain-
computer interface (BCI) prefers no calibration for its target recognition algorithm, however …
computer interface (BCI) prefers no calibration for its target recognition algorithm, however …
A review: Data driven-based fault diagnosis and RUL prediction of petroleum machinery and equipment
D Ji, C Wang, J Li, H Dong - Systems Science & Control …, 2021 - Taylor & Francis
In this paper, an up-to-date overview is provided on the data driven-based fault diagnosis
(FD) and remaining useful life (RUL) prediction problems of the petroleum machinery and …
(FD) and remaining useful life (RUL) prediction problems of the petroleum machinery and …
Transferring subject-specific knowledge across stimulus frequencies in SSVEP-based BCIs
Learning from subject's calibration data can significantly improve the performance of a
steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI), for …
steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI), for …