Objective: Clinical adoption of innovative EEG technology is contingent on the non-inferiority of the new devices relative to conventional ones. We present the four key results from testing the signal quality of Zeto’s WR19 EEG system against a conventional EEG system conducted on patients in a clinical setting. Methods: We performed 30-minute simultaneous recordings using the Zeto WR19 (zEEG) and a conventional clinical EEG system (cEEG) in a cohort of 15 patients. We compared the signal quality between the two EEG systems by computing time domain statistics, spectral density, and signal-to-noise ratio. Results: All the statistical comparisons resulted in signal quality non-inferior relative to cEEG. (i) Time domain statistics, including the Hjorth parameters, showed equivalence between the two systems, except for a significant reduction of sensitivity to electric noise in zEEG relative to cEEG. (ii) The point-by-point waveform correlation between the two systems was acceptable (r>0.6; P<0.001). (iii) Each of the 15 datasets showed a high spectral correlation (r>0.99; P<0.001) and overlapping spectral density across all electrode positions, indicating no systematic signal distortion. (iv) The mean signal-to-noise ratio (SNR) of the zEEG system exceeded that of the cEEG by 4.82 dB, equivalent to 16% improvement. Conclusion: In terms of signal quality, the zEEG system is non-inferior to conventional clinical EEG systems with respect to all relevant technical parameters that determine EEG readability and interpretability. Significance: Zeto’s WR19 wireless dry electrode system has signal quality in the clinical EEG space equivalent to traditional cEEG recordings.