Wireless EEG: A survey of systems and studies

• Published in: NeuroImage (Orlando, Fla.) Vol. 269; p. 119774
• Main Authors: Niso, Guiomar, Romero, Elena, Moreau, Jeremy T., Araujo, Alvaro, Krol, Laurens R.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.04.2023; Elsevier Limited; Elsevier
• Subjects: Brain; Brain research; Communication; Decision making; EEG; Electrodes; Electroencephalography; Electroencephalography - methods; Head; Human brain; Humans; Laboratories; Mobile; Physiology; Portable; R&D; Research & development; Signal processing; Wearable; Wireless; Wireless Technology; Wireless; Human brain; Portable; Wearable; Mobile; EEG
• ISSN: 1053-8119; 1095-9572
• DOI: 10.1016/j.neuroimage.2022.119774

The popular brain monitoring method of electroencephalography (EEG) has seen a surge in commercial attention in recent years, focusing mostly on hardware miniaturization. This has led to a varied landscape of portable EEG devices with wireless capability, allowing them to be used by relatively unconstrained users in real-life conditions outside of the laboratory. The wide availability and relative affordability of these devices provide a low entry threshold for newcomers to the field of EEG research. The large device variety and the at times opaque communication from their manufacturers, however, can make it difficult to obtain an overview of this hardware landscape. Similarly, given the breadth of existing (wireless) EEG knowledge and research, it can be challenging to get started with novel ideas. Therefore, this paper first provides a list of 48 wireless EEG devices along with a number of important—sometimes difficult-to-obtain—features and characteristics to enable their side-by-side comparison, along with a brief introduction to each of these aspects and how they may influence one's decision. Secondly, we have surveyed previous literature and focused on 110 high-impact journal publications making use of wireless EEG, which we categorized by application and analyzed for device used, number of channels, sample size, and participant mobility. Together, these provide a basis for informed decision making with respect to hardware and experimental precedents when considering new, wireless EEG devices and research. At the same time, this paper provides background material and commentary about pitfalls and caveats regarding this increasingly accessible line of research.