A comparative evaluation of signal quality between a research-grade and a wireless dry-electrode mobile EEG system.


Journal

Journal of neural engineering
ISSN: 1741-2552
Titre abrégé: J Neural Eng
Pays: England
ID NLM: 101217933

Informations de publication

Date de publication:
19 09 2019
Historique:
pubmed: 17 5 2019
medline: 25 8 2020
entrez: 17 5 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31096191
doi: 10.1088/1741-2552/ab21f2
doi:

Types de publication

Comparative Study Evaluation Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

054001

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS047293
Pays : United States

Auteurs

Francesco Marini (F)

Swartz Center for Computational Neuroscience, University of California San Diego, La Jolla, CA, United States of America. Center for Neuromodulation, University of California San Diego, La Jolla, CA, United States of America.

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Classifications MeSH