Publication | Open Access
Usability of four commercially-oriented EEG systems
211
Citations
28
References
2014
Year
Electroencephalography is increasingly used to study brain function in real‑world, mobile settings, and recent systems aim to improve its usability outside the laboratory. This study compares the usability of three wireless EEG systems—B‑Alert X10, EPOC, and QUASAR Dry Sensor Interface—to the laboratory‑grade BioSemi ActiveTwo, focusing on design, usability, and participant comfort. Participants performed cognitive tasks while wearing each system, and the systems were evaluated on adaptability to head size, comfort, electrode placement variance, connection stability, and timing integration with external events.
Electroencephalography (EEG) holds promise as a neuroimaging technology that can be used to understand how the human brain functions in real-world, operational settings while individuals move freely in perceptually-rich environments. In recent years, several EEG systems have been developed that aim to increase the usability of the neuroimaging technology in real-world settings. Here, the usability of three wireless EEG systems from different companies are compared to a conventional wired EEG system, BioSemi's ActiveTwo, which serves as an established laboratory-grade 'gold standard' baseline. The wireless systems compared include Advanced Brain Monitoring's B-Alert X10, Emotiv Systems' EPOC and the 2009 version of QUASAR's Dry Sensor Interface 10–20. The design of each wireless system is discussed in relation to its impact on the system's usability as a potential real-world neuroimaging system. Evaluations are based on having participants complete a series of cognitive tasks while wearing each of the EEG acquisition systems. This report focuses on the system design, usability factors and participant comfort issues that arise during the experimental sessions. In particular, the EEG systems are assessed on five design elements: adaptability of the system for differing head sizes, subject comfort and preference, variance in scalp locations for the recording electrodes, stability of the electrical connection between the scalp and electrode, and timing integration between the EEG system, the stimulus presentation computer and other external events.
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