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EEG complexity measures for detecting mind wandering during video-based learning | Scientific Reports
Nature
This study explores the efficacy of various EEG complexity measures in detecting mind wandering during video-based learning.
2 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.
2 days 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.
8 months ago
Minimizing artifact-induced false-alarms for seizure detection in wearable EEG devices with gradient-boosted tree ...
Nature
Electroencephalography (EEG) is widely used to monitor epileptic seizures, and standard clinical practice consists of monitoring patients in...
4 months ago
Is Brain Dynamics Preserved in the EEG After Automated Artifact Removal? A Validation of the Fingerprint Method and ...
Frontiers
The assessment of a method for removing artifacts from electroencephalography (EEG) datasets often disregard verifying that global brain...
41 months ago
Single-channel EEG signal extraction based on DWT, CEEMDAN, and ICA method
Frontiers
In special application scenarios, such as portable anesthesia depth monitoring, portable emotional state recognition and portable sleep...
22 months ago
EPIC: Annotated epileptic EEG independent components for artifact reduction | Scientific Data
Nature
Scalp electroencephalogram is a non-invasive multi-channel biosignal that records the brain's electrical activity. It is highly susceptible...
22 months ago
A Novel Method Based on Combination of Independent Component Analysis and Ensemble Empirical Mode ...
Frontiers
Electrooculogram (EOG) is one of common artifacts in recorded electroencephalogram (EEG) signals. Many existing methods including...
32 months ago
Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction ...
Nature
The development of seizure prediction models is often based on long-term scalp electroencephalograms (EEGs) since they capture brain...
14 months ago
Automatic Removal of Physiological Artifacts in EEG: The Optimized Fingerprint Method for Sports Science Applications
Frontiers
Data contamination due to physiological artifacts such as those generated by eyeblinks, eye movements, and muscle activity continues to be a...
76 months ago