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Signal Quality

Good EEG data starts with good electrode contact. The recordings page shows real-time signal quality metrics during active recording so you can adjust headset fit before capturing important data.

How It Works

Signal quality is calculated from the standard deviation of voltage values over a 1-second sliding window (256 samples at 256 Hz). Lower deviation means cleaner, more stable signal.
Standard Deviation (µV)RatingBar ColorMeaning
1.5 – 10Great🟩 GreenClean neural signal, good contact
10 – 15Good🟨 YellowAcceptable, minor noise
> 15Poor🟥 RedHigh noise, adjust electrode
< 1.5No contact⬜ GrayElectrode not touching scalp

Quality Panel

During recording, two views appear:

Bar Chart

A per-channel bar chart updating every second. Each bar is colored by the quality rating above. Aim for mostly green bars before starting your real recording.

Brain Montage (2D)

A top-down head diagram (nose at top) showing electrode positions from the 10-20 system. Each electrode dot is colored by its current quality rating, giving you a spatial sense of where contact is poor.

Tips for Good Signal

Neurosity Crown

  • Dampen the rubber sensors with saline or water
  • Press the band firmly against the back of your head
  • Check that forehead sensors (F5, F6) have contact — push hair aside if needed
  • Sit still for 5 seconds and watch the quality bars settle

Muse Headband

  • Ensure the forehead sensors (AF7, AF8) sit flat on skin, not on hair
  • The ear sensors (TP9, TP10) should press firmly behind each ear
  • Tighten the band if temporal channels show poor quality
  • Relax your jaw — jaw clenching adds muscle artifacts

When to Start Recording

  • All green: Ideal — start immediately
  • Mostly green, one yellow: Acceptable for most analyses. ZUNA can clean mild artifacts
  • Red or gray channels: Adjust the headset. Red means high noise; gray means no contact at all
ZUNA can remove many artifacts, but it works best when the raw signal has decent contact quality. Starting with poor signal quality means losing neural information that can’t be recovered.