Communication, neuro-prosthetics, and environmental control are just a few applications for
disabled persons who use robots and manipulators that use brain-computer interface (BCI) …

Objective. Achieving high precision rapid serial visual presentation (RSVP) task often
requires many electrode channels to obtain more information. However, the more channels …

Motor imagery (MI) brain–computer interfaces (BCIs) have been used for a wide variety of
applications due to their intuitive matching between the user's intentions and the …

This article proposes an approach to select EEG channels based on EEG shapelet
transformation, aiming to reduce the setup time and inconvenience for subjects and to …

In electroencephalography, multi-channel electroencephalogram (EEG) signals are usually
utilized to improve classification accuracy. However, a large set of EEG channels increases …

Amyotrophic lateral sclerosis (ALS) is an idiopathic, fatal, and fast-progressive
neurodegenerative disease characterized by the degeneration of motor neurons. ALS …

To improve the spatial resolution of the electroen-cephalogram (EEG) signal, it is
conventional to use a large number of scalp electrode while recording oscillatory rhythms in …

Motor Imagery (MI) based Brain Computer Interface (BCI) has clinical applications such as
rehabilitation or communication for patients who have lost motor functions. Accurate …

Electromyography (EMG) is a technique that registers the electrical activity from the muscle;
one application for this kind of signal is muscle fatigue analysis, which can be defined as the …

The aim of this thesis is to move one step forward towards the concept of
electroencephalographic (EEG) systems that can achieve the same objectives as high …