A review of rapid serial visual presentation-based brain–computer interfaces
Rapid serial visual presentation (RSVP) combined with the detection of event-related brain
responses facilitates the selection of relevant information contained in a stream of images …
responses facilitates the selection of relevant information contained in a stream of images …
The PREP pipeline: standardized preprocessing for large-scale EEG analysis
The technology to collect brain imaging and physiological measures has become portable
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging …
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging …
Processing and analysis of multichannel extracellular neuronal signals: state-of-the-art and challenges
In recent years multichannel neuronal signal acquisition systems have allowed scientists to
focus on research questions which were otherwise impossible. They act as a powerful …
focus on research questions which were otherwise impossible. They act as a powerful …
Design and optimization of an EEG-based brain machine interface (BMI) to an upper-limb exoskeleton for stroke survivors
This study demonstrates the feasibility of detecting motor intent from brain activity of chronic
stroke patients using an asynchronous electroencephalography (EEG)-based brain machine …
stroke patients using an asynchronous electroencephalography (EEG)-based brain machine …
A novel P300 BCI speller based on the Triple RSVP paradigm
Z Lin, C Zhang, Y Zeng, L Tong, B Yan - Scientific reports, 2018 - nature.com
A brain–computer interface (BCI) is an advanced human–machine interaction technology.
The BCI speller is a typical application that detects the stimulated source-induced EEG …
The BCI speller is a typical application that detects the stimulated source-induced EEG …
A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs
B Zang, Y Lin, Z Liu, X Gao - Journal of Neural Engineering, 2021 - iopscience.iop.org
Objective. Single-trial electroencephalography (EEG) classification is of great importance in
the rapid serial visual presentation (RSVP) task. Convolutional neural networks (CNNs), as …
the rapid serial visual presentation (RSVP) task. Convolutional neural networks (CNNs), as …
Low-Quality Video Target Detection Based on EEG Signal Using Eye Movement Alignment
The target detection based on electroencephalogram (EEG) signals is a new target
detection method. This method recognizes the target by decoding the specific neural …
detection method. This method recognizes the target by decoding the specific neural …
Enhancement for P300-speller classification using multi-window discriminative canonical pattern matching
Objective. P300s are one of the most studied event-related potentials (ERPs), which have
been widely used for brain–computer interfaces (BCIs). Thus, fast and accurate recognition …
been widely used for brain–computer interfaces (BCIs). Thus, fast and accurate recognition …
Uav target detection for iot via enhancing erp component by brain–computer interface system
Y Zhang, H Zhang, X Gao, S Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The increasing popularity of Internet of Things (IoT) devices provides a huge data source for
intelligent identification. Images captured by the unmanned aerial vehicle (UAV) are often …
intelligent identification. Images captured by the unmanned aerial vehicle (UAV) are often …
Improved neural signal classification in a rapid serial visual presentation task using active learning
The application space for brain-computer interface (BCI) technologies is rapidly expanding
with improvements in technology. However, most real-time BCIs require extensive …
with improvements in technology. However, most real-time BCIs require extensive …