Book chapter
EEG-Based BCI Systems for Neurorehabilitation Applications
Digital Health, Department of Health Technology, Technical University of Denmark1
Brain Computer Interface, Digital Health, Department of Health Technology, Technical University of Denmark2
Department of Health Technology, Technical University of Denmark3
Department of Technology, Management and Economics, Technical University of Denmark4
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.
| Language: | English |
|---|---|
| Publisher: | CRC Press |
| Year: | 2021 |
| Pages: | 189-219 |
| ISBN: | 0367552973 , 036755299x , 1000387151 , 1003092888 , 9780367552978 , 9780367552992 , 9781000387155 and 9781003092889 |
| Types: | Book chapter |
| ORCIDs: | Khan, Muhammad Ahmed , Das, Rig , Hansen, John Paulin and Puthusserypady, Sadasivan |
