In recent years, an increasing number of brain-computer interface (BCI) systems have been developed for neurorehabilitation applications. These BCI systems record, decode and translate some measurable neurophysiological signals into a comprehensive commands that can be used to control an external device. Due to the advantage of bypassing muscle control and other peripheral nervous systems, BCI has mostly been associated with communication for people with motor disabilities. However, nowadays the fields of interest have expanded to facilitating rehabilitation and providing assistance in daily life activities of disabled individuals. This chapter provides an introduction to the BCI concept, followed by the designing and development of neural-driven BCI systems using electroencephalogram (EEG) signals. It includes a description of different BCI paradigms, BCI based controlling units, and their applications in neurorehabilitation. Moreover, a detailed explanation of the case study regarding the neural implementation of each paradigm is also described.
|Title of host publication||Brain and Behavior Computing|
|Editors||Mridu Sahu, G. R. Sinha|
|Publication status||Published - 2021|