Introduction | Motor Imagery Paradigm | SSVEP Paradigm | Classification Pipeline | Setup | Motor Imagery Analysis | Common Spatial Patterns (CSP) | Feature Extraction | SSVEP Detection | Classification | Performance Evaluation | Classification Accuracy | Cohen's Kappa | Information Transfer Rate (ITR) | Cross-Validation Strategies | Summary
Package: PhysioEEG 0.7.16
Yusuke Matsui
PhysioEEG: EEG Analysis Functions for PhysioExperiment Objects
Provides comprehensive electroencephalography (EEG) analysis functions for PhysioExperiment objects. Includes preprocessing (filtering, re-referencing, bad channel detection, interpolation, epoching, artifact rejection), independent component analysis (FastICA, Infomax, JADE) with automatic artifact detection, event-related potential (ERP) component detection and measurement (N100, P300, N400, P600, MMN), source localization (eLORETA, sLORETA, LCMV beamformer), EEG microstate analysis (K-means, AAHC), sleep staging (AASM criteria, spindle/K-complex/slow-wave detection), brain-computer interface features (CSP, SSVEP, motor imagery), clinical EEG analysis (spike detection, QEEG, asymmetry indices), time-frequency analysis (Morlet wavelet, STFT, multitaper, ERSP, ITC), connectivity analysis (coherence, PLV, wPLI, Granger causality), visualization (signal traces, ERP waveforms, topographic maps, spectrograms, connectivity plots, hypnograms, source maps), and simulated data generators for testing and demonstration.
Authors:
PhysioEEG_0.7.16.tar.gz
PhysioEEG_0.7.16.zip(r-4.7-any)PhysioEEG_0.7.16.zip(r-4.6-any)PhysioEEG_0.7.16.zip(r-4.5-any)
PhysioEEG_0.7.16.tgz(r-4.6-any)PhysioEEG_0.7.16.tgz(r-4.5-any)
PhysioEEG_0.7.16.tar.gz(r-4.7-any)PhysioEEG_0.7.16.tar.gz(r-4.6-any)
PhysioEEG_0.7.16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PhysioEEG/json (API)
| # Install 'PhysioEEG' in R: |
| install.packages('PhysioEEG', repos = c('https://x-biosignal.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/x-biosignal/physioeeg/issues
Pkgdown/docs site:https://x-biosignal.github.io
Last updated from:7a1c2ee336. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 477 | ||
| source / vignettes | OK | 221 | ||
| linux-release | NOTE | 402 | ||
| macos-release | NOTE | 437 | ||
| macos-oldrel | NOTE | 395 | ||
| windows-devel | NOTE | 536 | ||
| windows-release | NOTE | 493 | ||
| windows-oldrel | NOTE | 493 | ||
| wasm-release | OK | 105 |
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Dependencies:abindBiobaseBiocGenericscliDelayedArraydigestgenericsGenomicRangesIRangeslatticelifecycleMatrixMatrixGenericsmatrixStatsPhysioExperimentrlangS4ArraysS4VectorsSeqinfoSparseArraySummarizedExperimentXVector
BCI Classification
Last update: 2026-10-03
Started: 2026-10-03
Clinical EEG Analysis with PhysioEEG
Setup | Spike Detection | Basic Spike Detection | Parameter Tuning | Template Matching | Sensitivity Analysis | Quantitative EEG (QEEG) | Custom Band Definitions | Normative Comparison | Asymmetry Indices | Custom Electrode Pairs and Bands | Clinical Interpretation | EEG Suppression | Interpreting BSR | EEG Slowing | Peak Frequency Method | Focal vs. Generalized Slowing | Full Clinical Workflow | Clinical Interpretation Guidelines | Spike Detection Limitations | QEEG Interpretation | When to Combine with Clinical Judgment
Last update: 2026-10-03
Started: 2026-10-03
Connectivity Analysis
Introduction | Setup | Coherence Analysis | Magnitude-Squared Coherence | Imaginary Coherence | Phase Locking Value (PLV) | Weighted Phase Lag Index (wPLI) | Granger Causality | Building Connectivity Matrices | Thresholding Strategies | Visualization | Heatmap View | Circle Plot | Method Comparison | Practical Recommendations | Frequency Band Considerations | Conclusion | References
Last update: 2026-10-03
Started: 2026-10-03
EEG Preprocessing Pipeline
Introduction | Setup | Filtering with eegFilter() | Highpass Filtering | Lowpass Filtering | Bandpass Filtering | Notch Filtering | FIR vs IIR Filters | Re-referencing with eegRereference() | Average Reference | Mastoid Reference | Single Channel Reference | When to Use Each Type | Bad Channel Detection and Interpolation | Detecting Bad Channels | Interpolating Bad Channels | Recommended Workflow | ICA Artifact Removal | Running ICA | Detecting Artifact Components | Removing Artifact Components | Typical Workflow | Epoching with eegEpoch() | Creating Event Markers | Extracting Epochs | Alternative Baseline Methods | Artifact Rejection with eegArtifactReject() | Threshold-Based Rejection | Gradient-Based Rejection | Joint Probability Method | When to Use Each Method | Full Pipeline with eegPreprocess() | Parameter Selection for Different Paradigms | Best Practices | Recommended Parameter Ranges | Pipeline Order Matters | Always Inspect Data Between Steps | Document Your Pipeline
Last update: 2026-10-03
Started: 2026-10-03
EEG Source Localization with PhysioEEG
Setup | Forward Model | Spherical Head Model | Simplified BEM Model | Leadfield Interpretation | Source Estimation | MNE (Minimum Norm Estimate) | sLORETA (Standardized Low-Resolution Brain Electromagnetic Tomography) | eLORETA (Exact Low-Resolution Electromagnetic Tomography) | Comparing Methods | Beamformer | LCMV Beamformer | DICS Beamformer | Source Power | Custom Frequency Bands | Visualization | Scatter Plot | Flat Map | Comparing Methods Visually | Method Comparison | Distributed Source Imaging vs. Beamforming | Choosing a Method | Best Practices | Electrode Density | SNR Considerations | Regularization | Preprocessing Recommendations
Last update: 2026-10-03
Started: 2026-10-03
ERP Analysis with PhysioEEG
Simulating an Oddball Experiment | ERP Component Detection | ERP Measurement Methods | Fractional Area Latency | Difference Waves | Artifact Removal with ICA Before ERP
Last update: 2026-10-03
Started: 2026-10-03
Getting Started with PhysioEEG
Creating Test Data | Independent Component Analysis (ICA) | ERP Analysis | Quantitative EEG (QEEG) | Microstate Analysis | Brain-Computer Interface (BCI) | Sleep Analysis | Clinical EEG Analysis
Last update: 2026-10-03
Started: 2026-10-03
Sleep EEG Analysis
Introduction | Setup and Data Preparation | Preprocessing for Sleep EEG | Recommended Filter Settings | Artifact Detection and Removal | Automatic Sleep Staging | Sleep Stage Characteristics | Interpreting Staging Output | Sleep Spindle Detection | Detection Parameters | Clinical Significance | K-Complex Detection | Detection Methodology | Clinical Applications | Slow Wave Detection and Analysis | Slow Wave Detection | SWA Dynamics Across the Night | Clinical Interpretation | Sleep Architecture Metrics | Normal Adult Sleep Architecture | Hypnogram Visualization | Clinical Interpretation and Reporting | Complete Analysis Workflow | Abnormalities to Look For | Insomnia Pattern | Sleep Apnea | Depression | Neurodegenerative Disease | Limitations of Automated Staging | Best Practices | Conclusion | References | Session Information
Last update: 2026-10-03
Started: 2026-10-03
Time-Frequency Analysis
Introduction | Setup | Morlet Wavelet Transform | Short-Time Fourier Transform | Multitaper Spectral Analysis | Event-Related Spectral Perturbation (ERSP) | Intertrial Coherence (ITC) | Visualization with eegPlotSpectrogram | Method Comparison Guide | Session Info
Last update: 2026-10-03
Started: 2026-10-03
