Home ›
Entities
› academia
› Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces
Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces
Research article (Frontiers in Neuroinformatics, 2021) · cited 12× · AI/ML
Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces
Summary
Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces is a scholarly article[1].
Key Facts
Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces. Retrieved May 24, 2026, from https://4ort.xyz/entity/influence-of-the-number-of-channels-and-classification-algorithm-on-the-performance-robustness-to-electrode-shift-in-ste
MLA“Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/influence-of-the-number-of-channels-and-classification-algorithm-on-the-performance-robustness-to-electrode-shift-in-ste.
BibTeX@misc{4ortxyz_influence-of-the-number-of-channels-and-classification-algorithm-on-the-performance-robustness-to-electrode-shift-in-ste_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces}}, year = {2026}, url = {https://4ort.xyz/entity/influence-of-the-number-of-channels-and-classification-algorithm-on-the-performance-robustness-to-electrode-shift-in-ste}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces — https://4ort.xyz/entity/influence-of-the-number-of-channels-and-classification-algorithm-on-the-performance-robustness-to-electrode-shift-in-ste (retrieved 2026-05-24)
