Selvam, V.S. and Shenbagadevi, S. (2011) Brain Tumor Detection Using Scalp Eeg With Modified Wavelet-ICA and Multi Layer Feed Forward Neural Network. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, 30 August-3 September 2011, 6104-6109.
https://doi.org/10.1109/IEMBS.2011.6091508

has been cited by the following article:

• TITLE: Intelligent BCI Headphone for a Healthier and a Deeper Immersive Gameplay

  AUTHORS: Ilman Shazhaev, Dmitry Mikhaylov, Abdulla Shafeeg

  KEYWORDS: BCI, Immersive Gaming, Artificial Intelligence, Videogames, Health

  JOURNAL NAME: International Journal of Intelligence Science, Vol.13 No.2, April 18, 2023

  ABSTRACT: The developments in the area of brain research by analysing brain activity of individuals have given rise to many useful applications, such as diagnosing mental disorders more efficiently, treatment of cognitive disorders, and developing of brain-computer interfaces for treatment, communication and entertainment purposes. However, the development of such applications is hindered by a shortage of easy-to-use and comfortable sensors, as well as a lack of high-quality brain activity data. In the first part of this paper, a review of the status of BCI applications is presented followed by a proposal of a framework for developing an intelligent BCI headphone that takes leverages of the huge amount of data coming from playing video games to let the players experience a full immersive gaming experience.