Local-first by design
Raw EDF files, workspace data, analysis results, and exports stay on device by default.
iPhone-first EDF / EDF+ research workspace
Local-first EDF / EDF+ review and research signal inspection on iPhone.
Open, anonymise, inspect, preprocess, analyze, and export EEG recordings locally, with transparent parameters and non-clinical research boundaries.
Privacy and use boundary
EEG TraceLab is built around local review, anonymised metadata, and explicit non-clinical use. The website says the quiet part clearly because the product does too.
Raw EDF files, workspace data, analysis results, and exports stay on device by default.
EDF header fields are rewritten before recordings enter the local library.
Built for non-clinical signal inspection with clear warnings, parameters, and provenance.
EEG TraceLab is not a medical device and does not provide clinical decisions or emergency support.
Core workflow
Open EDF / EDF+ recordings from local iOS file sources.
Create safe recording IDs and keep original identifying fields out of the library.
Review multi-channel traces in a landscape iPhone waveform workspace.
Preview preprocessing choices while preserving the immutable raw EDF source.
Run local selected-window research analysis with transparent parameters.
Share research artifacts, warnings, and provenance as local files.
Signal review
The core workspace is a landscape iPhone signal viewer with the controls expected in real EDF review: channels, montage, filters, annotations, notes, and selected-channel actions.
Vertical channel scrolling, horizontal time navigation, pinch time zoom, gain, amplitude scale, current marker, and bottom timeline.
Search and save channel selections, use original, referential, average reference, automatic bipolar, or manual bipolar views, and preview high-pass, low-pass, band-pass, notch, and downsample settings.
Parse EDF+ annotations, search and jump to events, add local research notes, and show lightweight markers without mutating the recording.
Highlight traces, recolor selected channels, open selected-channel-only review, or launch analysis from the current visible window.
Research analysis
Each result records selected channels, window, sample rate, montage/reference state, filter/downsample state, algorithm parameters, warnings, and provenance.
FFT and Welch PSD, infraslow through gamma band power, peak frequency, and band ratios.
RMS, peak-to-peak, variance, zero crossings, mean, min/max, flatline, and clipping indicators.
Sliding-window PSD-derived heatmaps and tables for selected channels and windows.
Absolute and relative band power over time with dominant band and peak-frequency context.
Compare channels, structures, windows, and bands with grouped charts and research summary metadata.
Fit local log-log PSD background with residual peak plots and transparent fit metrics.
Power spectral analysis is for research signal inspection only. Results depend on EDF metadata, selected montage, preprocessing, and window settings. Not for diagnosis or clinical decision support.
Preprocess Signal
Preprocessing is local, inspectable, and provenance-aware. Suggested bad channels remain signal-quality cues for user review rather than automatic interpretation.
Infraslow is valid only with true DC-coupled recordings.
Workspace and export
EEG TraceLab treats exports as research artifacts: the file matters, and so do the parameters, warnings, source state, and local-only provenance around it.
Organize recordings, analysis runs, notes, presets, excluded windows, exports, and anonymised project manifests.
Reopen Analysis History, save Parameter Presets, manage Preprocessing Runs, and apply repeatable settings across sessions.
Export CSV, JSON, PNG, parameters, warnings, and provenance. Batch export manifests support multi-recording local workflows.
Plans
For lightweight EDF / EDF+ evaluation on iPhone.
A yearly auto-renewable subscription for complete local research workflows.
Support and release pages
Privacy, terms, subscription terms, and support content use the same local-first boundary as the app.