E-ISSN 2231-3206 | ISSN 2320-4672
 

Review Article 


An approach toward wireless brain–computer interface system using EEG signals: A review

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J.

Abstract
The wireless brain–computer interface (BCI) system can become as powerful aids for people with disability (PWD), especially to help them move independently. The BCI system captures the user’s brain activity and classifies into a signal to which a robot or a computer device can respond. In this article, a review of various electrodes for capturing the electroencephalogram (EEG) signals, key techniques, and their applications of wireless BCI headset along with future development issues proposed by many researchers have been discussed. The central idea is a study on the brain rhythm related to the user’smovements for the control of mobile robots, humanoids, and robotic wheelchair. The BCI system is capable of improving and enriching the lives of PWD and people with neuromuscular disorder and bringing back the quality of free movement for PWD.

Key words: Electroencephalogram (EEG); Brain–Computer Interface (BCI); wireless BCI headsets


 
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How to Cite this Article
Pubmed Style

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J. An approach toward wireless brain–computer interface system using EEG signals: A review. Natl J Physiol Pharm Pharmacol. 2015; 5(5): 350-356. doi:10.5455/njppp.2015.5.0306201555


Web Style

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J. An approach toward wireless brain–computer interface system using EEG signals: A review. http://www.njppp.com/?mno=190449 [Access: November 21, 2018]. doi:10.5455/njppp.2015.5.0306201555


AMA (American Medical Association) Style

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J. An approach toward wireless brain–computer interface system using EEG signals: A review. Natl J Physiol Pharm Pharmacol. 2015; 5(5): 350-356. doi:10.5455/njppp.2015.5.0306201555



Vancouver/ICMJE Style

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J. An approach toward wireless brain–computer interface system using EEG signals: A review. Natl J Physiol Pharm Pharmacol. (2015), [cited November 21, 2018]; 5(5): 350-356. doi:10.5455/njppp.2015.5.0306201555



Harvard Style

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J (2015) An approach toward wireless brain–computer interface system using EEG signals: A review. Natl J Physiol Pharm Pharmacol, 5 (5), 350-356. doi:10.5455/njppp.2015.5.0306201555



Turabian Style

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J. 2015. An approach toward wireless brain–computer interface system using EEG signals: A review. National Journal of Physiology, Pharmacy and Pharmacology, 5 (5), 350-356. doi:10.5455/njppp.2015.5.0306201555



Chicago Style

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J. "An approach toward wireless brain–computer interface system using EEG signals: A review." National Journal of Physiology, Pharmacy and Pharmacology 5 (2015), 350-356. doi:10.5455/njppp.2015.5.0306201555



MLA (The Modern Language Association) Style

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J. "An approach toward wireless brain–computer interface system using EEG signals: A review." National Journal of Physiology, Pharmacy and Pharmacology 5.5 (2015), 350-356. Print. doi:10.5455/njppp.2015.5.0306201555



APA (American Psychological Association) Style

Jenita Amali Rani B, Umamakeswari A, Sree Madhubala J (2015) An approach toward wireless brain–computer interface system using EEG signals: A review. National Journal of Physiology, Pharmacy and Pharmacology, 5 (5), 350-356. doi:10.5455/njppp.2015.5.0306201555





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