100 results for "ICA component classification" · page 1 of 10 · ranked by relevance
…nm000183) Multicenter iEEG dataset for classification of graphoelements and artifactual signals (FNUSA…
…nm000182) Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO…
…automatic labeling of independent components in ICA and is referred to as…
A color change detection task dataset organized in BIDS format containing intracranial electrophysiological (iEEG) recordings from participants performing a visual perception task. Participants were required to detect color changes in visual stimuli while neural activity was recorded from implanted electrodes. The dataset includes raw iEEG data, electrode localization information, and task event markers, organized according to the iEEG-BIDS specification. This standardized format facilitates reproducible analysis and sharing of human intracranial brain imaging data. For complete attribution and dataset documentation, please refer to the dataset files and associated publications.
…Next, the Independent Component Analysis (ICA) method (RunICA algorithm) was performed, transforming…
…Next, the Independent Component Analysis (ICA) method (RunICA algorithm) was performed, transforming…
…iii) ica_components.json includes the independent components excluded in ICA (the…
…the ICA decomposition and dipole model in EEG.etc. The components retained…
…last 3 components using 3s moving window (1s step). Classification: shrinkage LDA…
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