eeg data (BioSemi)
90
Structured Review
BioSemi
eeg data
Eeg Data, supplied by BioSemi, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/eeg+data/eeg+data/pm40277553-100-2-8
Average 90 stars, based on 1 article reviews
Eeg Data, supplied by BioSemi, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/eeg+data/eeg+data/pm40277553-100-2-8
Average 90 stars, based on 1 article reviews
eeg data - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Video-evoked neuromarkers of visual function in age-related macular degeneration Article Snippet: EEG data were sampled at 1,000 Hz using a Article Title: Fixation-related potentials during a virtual navigation task: The influence of image statistics on early cortical processing. Article Snippet: The EEG data were sampled at 2048 Hz from 64 active scalp electrodes using the Article Title: Universal outlier detection and curation of missing or noisy data points Article Snippet: Then the data parsing is done by utilizing the data-domain boundaries contained as the actual experimental details of . As a concrete example, we used EEG data samples collected from Article Title: Investigating the relationship between resting-state EEG microstates and executive functions: A null finding. Article Snippet: EEG raw data were recorded during the laboratory session with a Software:Article Title: Eight weeks of high-intensity interval training versus stretching do not change the psychoneuroendocrine response to a social stress test in emotionally impulsive humans Article Snippet: .. EEG data were recorded continuously using a BioSemi Active-Two system (BioSemi, Amsterdam, Netherlands) and ActiView software ( Article Title: Point-light Talkers: Multisensory Enhancement of Speech Tracking by Co-speech Movement Kinematics. Article Snippet: .. EEG data were recorded from 32 scalp electrodes in the Sampling:Article Title: PhyTransformer: A unified framework for learning spatial-temporal representation from physiological signals. Article Snippet: As a modal of physiological information, electroencephalogram (EEG), surface electromyography (sEMG), and eye tracking (ET) signals are widely used to decode human intention, promoting the development of human– computer interaction systems.. Extensive studies have achieved single-modal signal decoding with substantial structural differences but consuming mass computing resources and development costs.. Considering the similarity in data structure and features, this work proposed a unified framework called PhyTransformer that extracts temporal dynamic and complex channel relationships to decode the physiological signals generally. Article Title: Intra- and Inter-Regional Complexity in Multi-Channel Awake EEG Through Multivariate Multiscale Dispersion Entropy for Assessing Sleep Quality and Aging. Article Snippet: .. The original EEG data were recorded using a |