{ "_id": "6ac10ae8552a13804ac7ecd4", "Package": "PhysioEEG", "Title": "EEG Analysis Functions for PhysioExperiment Objects", "Version": "0.7.16", "Authors@R": "person(given = \"Yusuke\",\nfamily = \"Matsui\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mail.to.matsui@gmail.com\")", "Description": "Provides comprehensive electroencephalography (EEG)\nanalysis functions for PhysioExperiment objects. Includes\npreprocessing (filtering, re-referencing, bad channel\ndetection, interpolation, epoching, artifact rejection),\nindependent component analysis (FastICA, Infomax, JADE) with\nautomatic artifact detection, event-related potential (ERP)\ncomponent detection and measurement (N100, P300, N400, P600,\nMMN), source localization (eLORETA, sLORETA, LCMV beamformer),\nEEG microstate analysis (K-means, AAHC), sleep staging (AASM\ncriteria, spindle/K-complex/slow-wave detection),\nbrain-computer interface features (CSP, SSVEP, motor imagery),\nclinical EEG analysis (spike detection, QEEG, asymmetry\nindices), time-frequency analysis (Morlet wavelet, STFT,\nmultitaper, ERSP, ITC), connectivity analysis (coherence, PLV,\nwPLI, Granger causality), visualization (signal traces, ERP\nwaveforms, topographic maps, spectrograms, connectivity plots,\nhypnograms, source maps), and simulated data generators for\ntesting and demonstration.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", 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