NCBI PubMed Central
open access
SSVEP-driven BCI authentication with reduced number of EEG electrodes across high and low frequency ranges.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
Checking your browser before accessing pmc.ncbi.nlm.nih.gov ... Click here if you are not automatically redirected after 5 seconds.
Related documents
- EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies \n on Signal Sensing Technologies and Computational Intelligence Approaches and \n their Applications#477093
- Non-Invasive Brain-Computer Interface for Virtual Object Control#897082
- Non-Invasive, Inductive Electrodes for Application in Brain Computer Interfaces#982899
- Reproducible testing for embedded BCIs: a demultiplexing PCB and acquisition system for EEG signal emulation.#265194
- Decoding visual object recognition from EEG signals.#312333
Record · ID 1399 · SHA-256 068cde4da6c79d8c
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive