Since the discovery of the EEG principles by Berger in the 20's, procedures for artifact
removal have been essential in its pre-processing. In literature, diverse approaches based …

Inspired by ongoing evolutions in the field of wireless body area networks (WBANs), this
tutorial paper presents a conceptual and exploratory study of wireless …

This paper considers the general problem of detecting change in non-stationary signals
using features observed in the time–frequency (t, f) domain, obtained using a class of …

Eye-blinks are known to substantially contaminate EEG signals, and thereby severely impact
the decoding of EEG signals in various medical and scientific applications. In this work, we …

The recent embedding of electroencephalographic (EEG) electrodes in wearable devices
raises the problem of the quality of the data recorded in such uncontrolled environments …

Eye blinks take an important role for electroencephalography (EEG) signals that on one
hand, they can severely impact the EEG signals, and on the other hand, they may provide …

Rapid Serial Visual Presentation (RSVP) has gained popularity as a method for presenting
text on wearable devices with limited screen space. Nonetheless, it remains unclear how to …

The electroencephalography (EEG) data records vast amounts of human cerebral activity yet
is still reviewed primarily by human readers. Most of the times, the data is contaminated with …

The increasing frequency of vehicle accidents presents a significant challenge in our
society. Unsafe behaviors, such as distracted driving (eg, eating, texting, and talking on the …

Electroencephalography (EEG) is a promising technique to record brain activities in natural
settings. However, EEG signals are usually contaminated by Ocular Artifacts (OA) such as …