Brain computer interface: control signals review
By Rabie Abd El-Tawab Ramadan, Athanasios V. Vasilakos. Neurocomputing, 2017
474 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/f2bc778c26f6945ddf1335bd8ec62c8127662967
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
In Cognitive Neuroscience
- Chin-Teng Lin
- Peng Xu
- Alireza Jolfaei
- Xiaotong Gu
- Zehong Cao
- Yang Jiang
- Xiaopeng Zhao
- Soheil Borhani
Citations in the corpus
- EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications (2020, background): “EEG signals, featuring direct measurements of cortical electrical activity and high temporal resolution, have been pursued extensively in many recent BCI studies [23], [24].”
- A comprehensive review of EEG-based brain–computer interface paradigms (2019, background): “Brain activity can be recorded through various neuroimaging methods [3, 5].”