The DOI matches its Crossref record; 255 of the 255 references it cites were found in a registry or an index.
Progress in Brain Computer Interface: Challenges and Opportunities
Open accessAbstract
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics, gaming, and neuroscience. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and non-linear brain dynamics and related feature extraction and classification challenges. Time-variant psycho-neurophysiological fluctuations and their impact on brain signals impose another challenge for BCI researchers to transform the technology from laboratory experiments to plug-and-play daily life. This review summarizes state-of-the-art progress in the BCI field over the last decades and highlights critical challenges.
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Cited by
Implantable brain machine interfaces: first-in-human studies, technology challenges and trends
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Revolutionizing Neurology: The Role of Artificial Intelligence in Advancing Diagnosis and Treatment
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Modeling the Intent to Interact With VR Using Physiological Features
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Metadata
- Authors
- Saha, S., Mamun, K. A., Ahmed, K., Mostafa, R., Naik, G. R., Darvishi, S., Khandoker, A. H., & Baumert, M.
- Venue
- Frontiers in Systems Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2021-02-25
- Volume
- 15
- Pages
- 578875-578875
- ISSN
- 1662-5137 (ISSN-L)
- OpenAlex
- W2910098374
- Cited by
- 365
- References
- 255
- FWCI
- 29.16
- Type
- journal article
- Language
- en
- Open access
- gold
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- Saha, S., Mamun, K. A., Ahmed, K., Mostafa, R., Naik, G. R., Darvishi, S., Khandoker, A. H., & Baumert, M. (2021). Progress in Brain Computer Interface: Challenges and Opportunities. Frontiers in Systems Neuroscience. https://doi.org/10.3389/fnsys.2021.578875
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