Brain-computer interfaces in medicine.
By Jerry J. Shih, Dean J. Krusienski, Jonathan R. Wolpaw. Mayo Clinic proceedings, 2012
654 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/5904e38ea590c7eda3beeabdee5292577a830b84
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
Citations in the corpus
- Brain–computer interface boosts motor imagery practice during stroke recovery (2015, methodology): “Brain–computer interfaces (BCIs) allow one to control external devices through direct brain activity recognition by a computer—that is, bypassing neuromuscularbased systems (voice, use of a mouse or keyboard).(14,15) A widely adopted BCI paradigm uses the modulation of electroencephalographic (EEG) ”
- Progress in Brain Computer Interface: Challenges and Opportunities (2019, background): “For medical applications of BCI, three criteria are essential: (1) a comfortable and convenient signals acquisition device, (2) system validation and dissemination, and (3) reliability and potentiality of BCIs [29].”
- Review of Multimodal Data Acquisition Approaches for Brain–Computer Interfaces (2024, unknown): “However, despite their immense potential, BCIs remain in the nascent stages of development, beset by numerous technical and ethical challenges that demand scrutiny and resolution before widespread integration [2].”
- Methods for Improving Brain-Computer Interface: Using A Brain-Directed Adjuvant and A Second-Generation Artificial Intelligence System to Enhance Information Streaming and Effectiveness of Stimuli (2023, unknown): “Many BCI targets patients surrounded by many electronic pieces of equipment [10].”