Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG).

Mohamed AMA, Uçan ON, Bayat O, Duru AD

DOI: 10.1155/2020/8853238
Published: 2020
Container: Applied bionics and biomechanics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2020/8853238,
  title = {Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG).},
  author = {Mohamed AMA and Uçan ON and Bayat O and Duru AD},
  year = {2020},
  journal = {Applied bionics and biomechanics},
  doi = {10.1155/2020/8853238},
  url = {https://doi.org/10.1155/2020/8853238}
}

RIS

TY  - JOUR
TI  - Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG).
AU  - Mohamed AMA
AU  - Uçan ON
AU  - Bayat O
AU  - Duru AD
PY  - 2020
JO  - Applied bionics and biomechanics
DO  - 10.1155/2020/8853238
UR  - https://doi.org/10.1155/2020/8853238
ER  -

APA

AMA, M., ON, U., O, B., & AD, D. (2020). Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG).. Applied bionics and biomechanics. https://doi.org/10.1155/2020/8853238

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pubmed · retrieved 2026-09-24T19:01:36.414Z