Location via proxy:
[ UP ]
[Report a bug]
[Manage cookies]
No cookies
No scripts
No ads
No referrer
Show this form
All
Images
Videos
News
Maps
Shopping
Books
Search tools
Recent
Recent
Past hour
Past 24 hours
Past week
Past month
Past year
Archives
Sorted by relevance
Sorted by relevance
Sorted by date
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
EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces | Scientific Data
Nature
As attention to deep learning techniques has grown, many researchers have attempted to develop ready-to-go brain-computer interfaces (BCIs)...
23 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
The development of an automated machine learning pipeline for the detection of Alzheimer's Disease | Scientific Reports
Nature
Although Alzheimer's disease is the most prevalent form of dementia, there are no treatments capable of slowing disease progression.
20 months ago
Electroencephalogram signals emotion recognition based on convolutional neural network-recurrent neural network ...
Frontiers
Reminiscence and conversation between older adults and younger volunteers using past photographs are very effective in improving the...
22 months ago
The Harvard Automated Processing Pipeline for Electroencephalography (HAPPE): Standardized Processing Software ...
Frontiers
Electroenchephalography (EEG) recordings collected with developmental populations present particular challenges from a data processing...
76 months ago
Optimization of Real-Time EEG Artifact Removal and Emotion Estimation for Human-Robot Interaction Applications
Frontiers
Affective human-robot interaction requires lightweight software and cheap wearable devices that could further this field.
55 months ago
Resting-state frontal, frontlateral, and parietal alpha asymmetry:A pilot study examining relations with depressive ...
Frontiers
IntroductionThe search for biomarkers has been central to efforts of improving clinical diagnosis and prognosis in psychopathology in the...
15 months ago
Prediction of Pilot's Reaction Time Based on EEG Signals
Frontiers
The main hypothesis of this work is that the time of delay in reaction to an unexpected event can be predicted on the basis of the brain...
52 months ago
mGluR5 binding changes during a mismatch negativity task in a multimodal protocol with [11C]ABP688 PET/MR-EEG ...
Nature
Currently, the metabotropic glutamate receptor 5 (mGluR5) is the subject of several lines of research in the context of neurology and is of...
29 months ago