Home ›
Entities
› academia
› Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI
Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI
Research article (Journal of Neural Engineering, 2019) · cited 52× · AI/ML
Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI
Summary
Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI is a scholarly article[1].
Key Facts
Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI'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). Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-motor-imagery-and-execution-signals-with-population-level-feature-sets-implications-for-probe-design-i
MLA“Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-motor-imagery-and-execution-signals-with-population-level-feature-sets-implications-for-probe-design-i.
BibTeX@misc{4ortxyz_classification-of-motor-imagery-and-execution-signals-with-population-level-feature-sets-implications-for-probe-design-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-motor-imagery-and-execution-signals-with-population-level-feature-sets-implications-for-probe-design-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI — https://4ort.xyz/entity/classification-of-motor-imagery-and-execution-signals-with-population-level-feature-sets-implications-for-probe-design-i (retrieved 2026-05-24)
