Special Issue "EEG Electrodes"
Deadline for manuscript submissions: closed (30 November 2018).
The measurement of electrical activity from the scalp surface (using the electroencephalogram; EEG, or event-related potentials; ERPs) has been consistently applied to determine neuroelectrical correlates of visuo-motor and cognitive activities in humans, over the last three decades. Impressive advancements have been made in the area of EEG signal processes, both in spatial and temporal domains, with the introduction of powerful methodologies (e.g., source localization, functional connectivity estimates, etc.).
On the other hand, the standard “passive” EEG sensors employed for the detection of scalp activities, until a decade ago, were barely innovated since their standardization in the 1950s.
However, in the last decade, the interest in the use of high-resolution EEG (using full coverage of the scalp surface with 64–128 electrodes) poses new challenges relative to the use of new classes of EEG sensors. Such sensors are supposed easy to mount and to achieve a good quality of the collected cerebral EEG activity.
Different classes of EEG sensors have been recently introduced, based on capacity effects (e.g., dry electrodes) or with improved quality for signal collection (active EEG electrodes). In addition to these different classes of sensors, different “low cost” EEG devices that present integrated sensors and data transmission were sold from the shelf by many vendors. New class of devices, not for clinical use, seemed promising since are sold to the general public, but the quality of the sensors they offered has been not completely and reliably assessed.
In this Special Issue of Sensors you are invited to submit papers related to the characterization and comparison of EEG sensors that are actually available from clinical EEG vendors or “non-clinical” vendors. Furthermore, papers related to the characterization of EEG and ERP activities, detected from particular dry or “active” electrodes are also welcomed. Papers describing the performance of innovative classes of EEG sensors are also considered, as well as studies about the behavior of different classes of EEG sensors in different recording situations outside of the laboratory. Additionally, investigations of innovative signal processing algorithms aimed to address critical issues related to these new kinds of electrodes (e.g., low signal-to-noise ratio) are welcomed as well.
The idea of the Special issue Is to provide to the readership with the state-of-the-art of scientific research in the area of EEG and ERP sensors, by providing new ideas and also systematizing comparisons between different classes of EEG sensors (dry vs. active and passive electrodes).Prof. Dr. Fabio Babiloni
Prof. Dr. Wanzeng Kong
Dr. Gianluca Di Flumeri
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Dry EEG electrodes
- Active EEG electrodes
- Signal processing