Permutation Entropy: Too Complex a Measure for EEG Time Series?
Research article (Entropy, 2017) · cited 67× · AI/ML
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Direct Wikidata claims
- [2] ↑ Permutation Entropy: Too Complex a Measure for EEG Time Series? — instance of (P31): scholarly article. wikidata.org.
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4ort.xyz Knowledge Graph. (2026). Permutation Entropy: Too Complex a Measure for EEG Time Series?. Retrieved May 24, 2026, from https://4ort.xyz/entity/permutation-entropy-too-complex-a-measure-for-eeg-time-series
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“Permutation Entropy: Too Complex a Measure for EEG Time Series?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/permutation-entropy-too-complex-a-measure-for-eeg-time-series.
BibTeX
@misc{4ortxyz_permutation-entropy-too-complex-a-measure-for-eeg-time-series_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Permutation Entropy: Too Complex a Measure for EEG Time Series?}}, year = {2026}, url = {https://4ort.xyz/entity/permutation-entropy-too-complex-a-measure-for-eeg-time-series}, note = {Accessed: 2026-05-24}}
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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Permutation Entropy: Too Complex a Measure for EEG Time Series? — https://4ort.xyz/entity/permutation-entropy-too-complex-a-measure-for-eeg-time-series (retrieved 2026-05-24)
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