Power Spectral Analysis
FFT and Welch PSD, band power, peak frequency, and band ratios for selected channels and windows.
EEG research app
Local EEG Research Analysis on iPhone
EEG TraceLab supports local selected-window EEG research analysis on iPhone, including PSD, band power, time-frequency views, signal metrics, structural comparison, spectral slope, exports, and provenance. Results are for research signal inspection only, not diagnosis or clinical decision support.
This page is written for users comparing EEG research apps, local EEG analysis apps, and EEG analysis on iPhone or iOS. EEG TraceLab focuses on transparent selected-window analysis rather than automatic interpretation.
EEG TraceLab is designed for research, education, and non-clinical signal inspection. It is not a medical device, diagnostic tool, seizure detector, clinical monitor, treatment tool, emergency tool, or medical decision-support system.
Scope
Selected-window research analysis, not clinical interpretation.
EEG TraceLab computes local signal summaries for selected channels and time windows. The app records analysis parameters and warnings so exported results can be reviewed as research artifacts.
Analysis modules
Local analysis modules with short definitions.
The app exposes modules that help users inspect spectral, temporal, and channel/structure-level signal properties.
Time-Domain Signal Metrics
RMS, peak-to-peak, variance, zero crossings, mean, min/max, flatline indicators, and clipping indicators.
Time-Frequency Analysis
Sliding-window PSD-derived heatmaps and tables that show frequency content over time.
Band Power Timeline
Infraslow, delta, theta, alpha, beta, and gamma band power trends over time where recording metadata and sampling support it.
Structural Band Power Comparison
Compare structures, channels, windows, and frequency bands with grouped research summaries.
Aperiodic / Spectral Slope Analysis
Estimate log-log PSD background slope and residual peak context for research signal inspection.
Parameters recorded
Analysis exports keep context attached.
Parameter visibility matters because EEG analysis results depend on channel selection, window, sample rate, montage, preprocessing, and algorithm settings.
Selected channels
Selected window and duration
Sample rate
Montage or reference state
Filter and downsample state
Raw or processed preprocessing source
Welch settings including segment length, overlap, taper, FFT length, and frequency resolution
Outputs
Export research artifacts with provenance.
EEG TraceLab Pro supports exports that keep results and context together for local review and external analysis workflows.
CSV tables
JSON results
PNG figures
Local export bundles
Parameter records
Warnings
Provenance metadata
FAQ
Questions searchers and AI agents often need answered.
These answers keep the product scope specific and keep medical and clinical boundaries visible.
What is PSD in EEG TraceLab?
PSD means power spectral density. EEG TraceLab uses FFT and Welch-style spectral analysis to summarize frequency power in selected windows for research signal inspection.
What is band power?
Band power summarizes signal power in defined frequency bands such as delta, theta, alpha, beta, and gamma, depending on the selected channels, sampling rate, preprocessing, and window settings.
Can EEG TraceLab diagnose EEG?
No. EEG TraceLab does not diagnose EEG and does not provide clinical decision support. Analysis outputs are research artifacts.
How should I choose Raw vs Processed source?
Use Raw when you need the immutable imported samples. Use a saved Processed run when you want analysis to reflect reviewed preprocessing choices, with provenance and warnings attached.