Power Spectral Density (PSD)#

Power spectral density (PSD) views characterize frequency-domain burden and are used to detect narrowband interference (for example mains harmonics) and broad-band contamination.

For execution steps, see Tutorial.

Subject-report PSD views#

View

Encoding

What it reveals

PSD SNR pie

signal vs detected noise contribution

proportion of spectral burden attributable to flagged noise frequencies

Welch periodograms

PSD curves per channel

peak frequencies, harmonics, and channel-specific contamination

Channel-wise PSD topomap

PSD-derived burden mapped to sensors

spatial concentration of spectral contamination

Relative band pie

delta/theta/alpha/beta/gamma/other contributions

dominant frequency content profile

1) PSD SNR summary#

PSD SNR

Interpretation:

  • high noise slice indicates strong narrowband contamination burden,

  • useful for quick triage before detailed spectrum inspection.

2) Welch PSD detail by channel#

PSD curves by channel

Interpretation:

  • narrow tall peaks at fixed frequencies suggest interference,

  • channel-specific peaks suggest localized hardware/environment interaction,

  • broadband elevation can indicate muscle/noise floor increase.

Interactive controls:

PSD axis controls PSD legend-based channel selection

3) PSD topomap#

PSD topomap

Shows where PSD burden is strongest in sensor space.

4) Relative area by bands#

PSD relative band amplitude

Shows proportion of spectral energy in standard frequency bands and other.

PSD summary table in QC summary#

In QC summary -> PSD, MEGqc derives compact values from SimpleMetrics:

  • MAG/GRAD global noisy-frequency count: number of globally detected noisy frequencies for that sensor type.

  • MAG/GRAD local noisy-channel burden: channels with local PSD-noise evidence (affected/total (percentage)).

This summary is not a replacement for curves/topomaps; it is a compact QC descriptor.

QC implications#

  • large local noisy-channel burden suggests channel-targeted QC,

  • high global noisy-frequency count suggests global filtering/interference mitigation review,

  • always interpret with task context and raw spectra.

The same spectral analysis applies to both MAG and GRAD channels. Common interference sources (power line harmonics, environmental noise) typically affect both channel types similarly.