100 results for "linear discriminant analysis" · page 2 of 10 · ranked by relevance
[ recordings collected while participants viewed validated emotional video stimuli. It comprises three components: a large-scale online behavioral survey of 500 participants rating 40 video clips, head digitization data for co-registration, and MEG neural recordings from 23 participants viewing the same stimuli. Emotional states were assessed using Self-Assessment Manikin ratings, discrete emotion categories (PrEmo), and temporal highlight annotations, providing multi-faceted ground truth for affective neuroscience research.
…Brain–computer interface, P300, Disabled subjects, Fisher's linear discriminant analysis, Bayesian…
…Linear Discriminant Analysis (LDA), shrinkage-LDA - **Feature extraction**: mean amplitudes in 10…
A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes clinical metadata such as seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations, making it suitable for developing and validating automated signal classification algorithms in clinical neurophysiology.
…Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal…
…The dataset was validated using baseline signal analysis methods, with which classification…
…brain-computer interfaces, machine learning, random forests, regularized linear discriminant analysis, sensorimotor…
A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.
…of spatial filters, and Linear Discriminant Analysis (LDA) classifier trained on calibration…