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• W2945714862 abstract "Electroencephalography (EEG) is widely used by clinicians, scientists, engineers and other professionals worldwide, with an increasing number of low-cost, commercially-oriented EEG systems that have become available in recent years. One such system is the Cognionics Quick-20 (Cognionics Inc., San Diego, USA), which uses dry electrodes and offers the convenience of portability thanks to its built-in amplifier and wireless connection. Because of such characteristics, this system has been used in several applications for both clinical and basic research studies. However, an investigation of the quality of the signals that are recorded using this system has not yet been reported.To bridge this gap, here we conducted a systematic comparison of signal quality between the Cognionics Quick-20 system and the Brain Products actiCAP/actiCHamp (Brain Products GmbH, Munich, Germany), a state-of-the-art, wet-electrode, research-oriented EEG system. Resting-state EEG data were recorded from twelve human participants at rest in eyes open and eyes closed conditions. For both systems we evaluated the similarity of mean recorded power spectral density, and detection of alpha suppression associated with eyes open relative to eyes closed.Power spectral densities were highly correlated across systems, with only minor topographical variability across the scalp. Both systems recorded alpha suppression during eyes open relative to eyes closed conditions.These results attest to the robustness and reliability of the dry-electrode Cognionics system relatively to the widely used Brain Products laboratory EEG system, and thus validate its utility for clinical and basic research purposes, at least in studies in which participants do not move." @default.
• W2945714862 created "2019-05-29" @default.
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• W2945714862 date "2019-09-19" @default.
• W2945714862 modified "2023-10-04" @default.
• W2945714862 title "A comparative evaluation of signal quality between a research-grade and a wireless dry-electrode mobile EEG system" @default.
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• W2945714862 doi "https://doi.org/10.1088/1741-2552/ab21f2" @default.
• W2945714862 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31096191" @default.
• W2945714862 hasPublicationYear "2019" @default.
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