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

Detalles Bibliográficos
Autor principal: and Biomechanics, Applied Bionics
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Retraction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586402/
https://www.ncbi.nlm.nih.gov/pubmed/37869039
http://dx.doi.org/10.1155/2023/9759506
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author_facet and Biomechanics, Applied Bionics
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spelling pubmed-105864022023-10-20 Retracted: Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG) and Biomechanics, Applied Bionics Appl Bionics Biomech Retraction Hindawi 2023-10-11 /pmc/articles/PMC10586402/ /pubmed/37869039 http://dx.doi.org/10.1155/2023/9759506 Text en Copyright © 2023 Applied Bionics and Biomechanics. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Retraction
and Biomechanics, Applied Bionics
Retracted: Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)
title Retracted: Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)
title_full Retracted: Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)
title_fullStr Retracted: Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)
title_full_unstemmed Retracted: Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)
title_short Retracted: Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)
title_sort retracted: classification of resting-state status based on sample entropy and power spectrum of electroencephalography (eeg)
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586402/
https://www.ncbi.nlm.nih.gov/pubmed/37869039
http://dx.doi.org/10.1155/2023/9759506
work_keys_str_mv AT andbiomechanicsappliedbionics retractedclassificationofrestingstatestatusbasedonsampleentropyandpowerspectrumofelectroencephalographyeeg

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