Technical validation of the Zeto wireless, dry electrode EEG system.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Medical Devices

Background:

• Clinical adoption of new EEG technology requires validation against conventional systems.
• Assessing signal quality is crucial for ensuring diagnostic accuracy and patient care.
• Zeto's WR 19 wireless dry electrode EEG system represents an innovation in EEG technology.

Purpose of the Study:

• To evaluate the signal quality of the Zeto WR 19 (zEEG) system against a conventional clinical EEG (cEEG) system.
• To determine the non-inferiority of zEEG signal quality in a clinical setting.
• To compare key signal quality metrics between the two EEG systems.

Main Methods:

• Simultaneous 30-minute EEG recordings were performed on 15 patients using both zEEG and cEEG systems.
• Signal quality was assessed using time domain statistics (Hjorth parameters), waveform correlation, spectral density, signal-to-noise ratio (SNR), and signal stability.
• Statistical comparisons were made to determine equivalence and non-inferiority.

Main Results:

• Time domain statistics showed equivalence between zEEG and cEEG, with zEEG exhibiting reduced sensitivity to electrical noise.
• Point-by-point waveform correlation was acceptable (r > 0.6, P < 0.001).
• High spectral correlation (r > 0.99, P < 0.001) and overlapping spectral density confirmed no systematic signal distortion. The zEEG system showed a 16% improvement in mean SNR (4.82 dB higher than cEEG) and maintained signal stability.

Conclusions:

• The zEEG system is non-inferior to conventional clinical EEG systems across all critical signal quality parameters.
• The Zeto WR 19 wireless dry electrode system provides signal quality equivalent to traditional cEEG recordings.
• This validates the use of the zEEG system for clinical EEG applications, ensuring readability and interpretability.