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EPIC: Annotated epileptic EEG independent components for artifact reduction
Nature
Scalp electroencephalogram is a non-invasive multi-channel biosignal that records the brain's electrical activity. It is highly susceptible...
22 months ago
Unsupervised EEG Artifact Detection and Correction
Frontiers
Electroencephalography (EEG) is used in the diagnosis, monitoring, and prognostication of many neurological ailments including seizure,...
41 months ago
Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models
Nature
The development of seizure prediction models is often based on long-term scalp electroencephalograms (EEGs) since they capture brain...
15 months ago
Electroencephalogram signals emotion recognition based on convolutional neural network-recurrent neural network framework with channel-temporal attention mechanism for older adults
Frontiers
Reminiscence and conversation between older adults and younger volunteers using past photographs are very effective in improving the...
21 months ago
Brain-computer interface for robot control with eye artifacts for assistive applications | Scientific Reports
Nature
Human-robot interaction is a rapidly developing field and robots have been taking more active roles in our daily lives.
9 months ago
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
Frontiers
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices through the utilization of brain waves.
3 weeks ago
Multi-channel EEG recording during motor imagery of different joints from the same limb
Nature
Motor imagery (MI) is one of the important brain-computer interface (BCI) paradigms, which can be used to control peripherals without...
48 months ago
Resting-state frontal, frontlateral, and parietal alpha asymmetry:A pilot study examining relations with depressive disorder type and severity
Frontiers
IntroductionThe search for biomarkers has been central to efforts of improving clinical diagnosis and prognosis in psychopathology in the...
16 months ago
Minimizing artifact-induced false-alarms for seizure detection in wearable EEG devices with gradient-boosted tree classifiers
Nature
Electroencephalography (EEG) is widely used to monitor epileptic seizures, and standard clinical practice consists of monitoring patients in...
5 months ago
EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces
Nature
As attention to deep learning techniques has grown, many researchers have attempted to develop ready-to-go brain-computer interfaces (BCIs)...
24 months ago