Manuscripts on this dataset

1. 

   CMS Manager @ 12:12 am on 16 Jan 2024

   Manuscripts on this dataset, "ds003474"

2. 

   CMS Manager @ 5:54 pm on 12 Feb 2024

   1. CP Da Silva, S Tedesco, B O'Flynn, EEG datasets for healthcare: a scoping review, IEEE Access, 2024, Cited by 0, https://ieeexplore.ieee.org/abstract/document/10466559/
   2. B Prakash, GK Baboo, V Baths, A Novel Approach to Learning Models on EEG Data Using Graph Theory Features—A Comparative Study, Big Data and Cognitive Computing, 2021, Cited by 4, https://www.mdpi.com/2504-2289/5/3/39
   3. G KB, B Prakash, V Baths, Application of Graph Theory Features towards EEG Data Classification Models for Working Memory and The Emotional States, Journal Not Specified, 2021, Cited by 0, https://www.researchgate.net/profile/Bhargav-Prakash-2/publication/352566693_Application_of_Graph_Theory_Features_towards_EEG_Data_Classification_Models_for_Working_Memory_and_The_Emotional_States/links/60ed8b2bfb568a7098a6e0ae/Application-of-Graph-Theory-Features-towards-EEG-Data-Classification-Models-for-Working-Memory-and-The-Emotional-States.pdf
   4. M Kang, SH Oh, KS Oh, S Kang, The deep learning method for predict beck's depression inventory score using EEG, 2021 International Conference on Information and Communication Technology Convergence (ICTC), 2021, Cited by 0, https://ieeexplore.ieee.org/abstract/document/9620922/
   5. J HATALA, ARTEFACTS REMOVAL FROM BRAIN EEG SIGNALS USING ADAPTIVE ALGORITHMS, Cited by 0, https://theses.cz/id/i4p8dx/bachelor_thesis_Archive.pdf
   6. JF Cavanagh, EEG: Probabilistic Selection and Depression, Cited by 3

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