2019
DOI: 10.1088/1741-2552/ab21f2
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A comparative evaluation of signal quality between a research-grade and a wireless dry-electrode mobile EEG system

Abstract: Objective. 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 sever… Show more

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Cited by 45 publications
(49 citation statements)
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References 53 publications
(7 reference statements)
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“…The current study used a small, portable, wireless, battery-powered, dry-electrode system that has excellent sensitivity compared to gellead systems. 3 The main finding is that electroencephalography and clinical data combined are better than either alone for identifying acute stroke/TIA and LVO. As a proofof-concept study, this is a first step towards demonstrating the feasibility of electroencephalography in the prehospital setting.…”
Section: Discussionmentioning
confidence: 99%
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“…The current study used a small, portable, wireless, battery-powered, dry-electrode system that has excellent sensitivity compared to gellead systems. 3 The main finding is that electroencephalography and clinical data combined are better than either alone for identifying acute stroke/TIA and LVO. As a proofof-concept study, this is a first step towards demonstrating the feasibility of electroencephalography in the prehospital setting.…”
Section: Discussionmentioning
confidence: 99%
“…Four predictor models were evaluated and validated, using acute stroke/TIA (or not) as the dependent measure: (1) clinical data only, using 4 measures that would be available to an Emergency Medical Technician (age, sex, time from last-knownwell to electroencephalography, and Rapid Arterial Occlusion Evaluation score 4 ), using logistic regression modeling; (2) electroencephalography data only, using the Lasso-selected 4 electroencephalography lead-band pairs (F8-T4 alpha, C3-F3 low beta, Cz-C3 high beta, and C4-F4 high beta band), using logistic regression modeling; (3) combined clinical and electroencephalography data using logistic regression, using the most significant clinical predictor from model (1) and Rapid Arterial Occlusion Evaluation score, plus the 4 Lasso-selected electroencephalography lead-band pairs; and (4) combined clinical and electroencephalography data using a deep learning neural network model, using the same six variables as model (3).…”
Section: Statistical Analysesmentioning
confidence: 99%
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“…However, this technology has advanced considerably in recent years, allowing research-grade EEG recordings with fully wireless and minimally invasive headsets. Thus, this approach now appears to be ripe for field recordings of psychedelic use [40].…”
Section: Introductionmentioning
confidence: 99%
“…To our knowledge, this is the first EEG-based dual-task walking study in MS. Cognitive-motor paradigms address more precisely patient-reported multitasking deficits and may therefore improve the sensitivity of patient assessments. Importantly, low cost wireless mobile EEG systems of high signal quality are readily available 58 . We believe that EEG-based measurements of cognitive-motor issues may eventually be sensitive enough to be deployed in the clinical setting to track a patient's disease progression and test therapeutic efficacy of interventions.…”
Section: Msmentioning
confidence: 99%