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A Survey of Brainwaves using Electroencephalography to develop Robust Brain-Computer Interfaces - 2019

A Survey Of Brainwaves Using Electroencephalography To Develop Robust Brain-Computer Interfaces

Research Area:  Machine Learning


It is amazing to know that cells in our brain are electrical signals which are generated by information processing units of the brain called Neurons. The most important factor for mapping these electrical activities to develop robust Brain-Computer Interfaces is the methods used for processing these electrical signals. The electrical activities in the brain can be captured using multiple electrophysical measures such as Electroencephalogram (EEG). EEG captures neurocognitive processes, the cognitive dynamics in the time frame in which cognition occurs, and multidimensional space of brain processing. This comprehensive survey presents various processing techniques and algorithms for developing robust Brain-Computer Interfaces using EEG.


Author(s) Name:  Munaza Ramzan; Suma Dawn

Journal name:  

Conferrence name:  9th International Conference on Cloud Computing, Data Science & Engineering (Confluence)

Publisher name:  IEEE

DOI:  10.1109/CONFLUENCE.2019.8776890

Volume Information: