Signal Viewer
Explore raw EEG waveforms across all channels
Power Spectrum
Frequency domain analysis using FFT and Welch method
Band Power Analysis
Decompose EEG into standard frequency bands
Delta
0.5 - 4 Hz -Theta
4 - 8 Hz -Alpha
8 - 13 Hz -Beta
13 - 30 Hz -Gamma
30 - 100 Hz -Digital Filtering
Design and apply filters to clean your EEG signals
Time-Frequency Analysis
Observe how the frequency content of your signal evolves over time
Statistical Analysis
Comprehensive statistical measures for each channel
| Channel | Mean uV | Std Dev | Variance | RMS | Min | Max | Peak to Peak | Skewness | Kurtosis | Zero Crossings |
|---|
Topographic Mapping
Spatial distribution of brain activity across the scalp
Export Center
Download your processed data and visualizations
Raw Data CSV
Export the current signal data as a comma-separated values file
JSON Data
Export signal data, metadata, and analysis results in JSON format
Signal Image PNG
Save the current signal viewer display as a high-resolution PNG image
Analysis Report PDF
Generate a comprehensive PDF report with all computed analysis results
Filtered Data CSV
Export filtered signal data, preserving any filter operations you applied
Spectrum Data CSV
Export power spectral density values for further analysis
SVG Vector Image
Export the current signal view as a scalable vector graphic, ideal for publications and presentations
Time Range Data
Export signal data for a specific time window of your choosing
Band Power Data
Export computed band power values for all channels as a CSV, ready for statistical analysis
High Resolution PNG
Save all current visualizations as high resolution images at 300 DPI for print and research papers
MATLAB Compatible JSON
Export data in a structured JSON format that can be easily imported into MATLAB or Python scripts