Dry EEG, Redefined

Challenge: Without conductive gel, the electrical contact between skin and sensor has naturally higher impedance. This can make signals more vulnerable to instability and mislead users into thinking dry EEG is inherently lower quality.

Solution: CGX addresses this by combining specialized dry sensor materials with local pre-amplification at the electrode. This design reduces the impact of high impedance before the signal even reaches the amplifier.

Validation: Side-by-side comparisons show that despite higher impedances, Quick systems produce clean EEG that correlates above r > 0.9 with wet electrodes across alpha, beta, gamma, and theta bands

Challenge: Movement or headset shifts can introduce artifacts, especially with dry sensors alone.

Solution: We created Flex Sensors for stable through-hair contact and engineered headset mechanics to maintain consistent pressure. Combined with low-noise amplification, motion-induced distortion is significantly reduced.

Validation: Oddball ERP tests show clean event-related potentials with dry sensors, virtually indistinguishable from wet results.

Challenge: Dry electrode contact quality can drift during longer sessions, especially in hair-bearing regions.

Solution: Our Quick headsets apply gentle, consistent pressure, adding stability, and Flowpoint software provides real-time impedance monitoring so contact issues are flagged before they affect data.

Validation: Quick systems deliver stable alpha rhythms and reliable ERP responses without loss of signal quality

Challenge: Dry electrodes are more prone to picking up environmental noise, which can make their signals appear noisier than gel-based recordings.

Solution: CGX systems combine advanced electronics - 24-bit A/D conversion, >100 dB CMRR for common-mode noise rejection, μV-level noise floors, and active shielding to suppress interference at the source. These measures ensure clean recordings even when impedances are higher.

Validation: Power spectrum analyses show Quick systems preserve all major EEG features (alpha, beta, gamma, theta) with noise levels comparable to wet electrodes