An EEG-based attention recognition method: fusion of time domain, frequency domain, and non-linear dynamics features.

Front Neurosci · 2023 · PMC10368951 · PMID 37502681

Europe PMC DOI

hedged sentence

—

closest p

—

boldest claim

The sentences

highly significantno p-value reported

For instance, the features D 14 (Teager–kaiser energy) exhibit a highly significant difference between attention and non-attention states, as shown in Figure 11 , which indicates that Teager–kaiser energy D 14 is an excellent feature.

also in 132,142 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.