Complexity Analysis of EEG Signals Based on Fuzzy Entropy: Power Spectrum and Entropy Features Across Different Levels of Consciousness.
- DOI
- 10.1109/embc58623.2025.11251864
- Published
- 2025 Jul
- Container
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/embc58623.2025.11251864,
title = {Complexity Analysis of EEG Signals Based on Fuzzy Entropy: Power Spectrum and Entropy Features Across Different Levels of Consciousness.},
author = {Zhang S and Tao T and Zhang S and Xu G and Li H and Zhang K},
year = {2025},
journal = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference},
doi = {10.1109/embc58623.2025.11251864},
url = {https://doi.org/10.1109/embc58623.2025.11251864}
}RIS
TY - JOUR TI - Complexity Analysis of EEG Signals Based on Fuzzy Entropy: Power Spectrum and Entropy Features Across Different Levels of Consciousness. AU - Zhang S AU - Tao T AU - Zhang S AU - Xu G AU - Li H AU - Zhang K PY - 2025 JO - Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference DO - 10.1109/embc58623.2025.11251864 UR - https://doi.org/10.1109/embc58623.2025.11251864 ER -
APA
S, Z., T, T., S, Z., G, X., H, L., & K, Z. (2025). Complexity Analysis of EEG Signals Based on Fuzzy Entropy: Power Spectrum and Entropy Features Across Different Levels of Consciousness.. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. https://doi.org/10.1109/embc58623.2025.11251864
Source records
- pubmed · retrieved 2026-09-26T15:18:15.002Z