Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Electroencephalography (EEG) is the most popular brain activity recording technique used
in wide range of applications. One of the commonly faced problems in EEG recordings is the …

Brain-machine interfaces (BMIs) can be used to decode brain activity into commands to
control external devices. This paper presents the decoding of intuitive upper extremity …

Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …

Brain-computer interface (BCI)) research seeks to develop new augmentative
communication and control technology for human patients with severe neuromuscular …

In this paper we review classification algorithms used to design brain–computer interface
(BCI) systems based on electroencephalography (EEG). We briefly present the commonly …

Neuromotor prostheses (NMPs) aim to replace or restore lost motor functions in paralysed
humans by routeing movement-related signals from the brain, around damaged parts of the …

A major challenge in motor imagery (MI) of electroencephalogram (EEG) based brain–
computer interfaces (BCIs) is the individual differences for different people. That the …

Chronically implanted recording electrode arrays linked to prosthetics have the potential to
make positive impacts on patients suffering from full or partial paralysis. Such arrays are …

Alexander E. Hramov · Alexey A. Koronovskii · Valeri A. Makarov · Vladimir A. Maksimenko ·
Alexey N. Pavlov Page 1 Springer Series in Synergetics Alexander E. Hramov · Alexey A …