Manuscripts on this dataset

1. 

   CMS Manager @ 4:29 pm on 07 Feb 2024

   Manuscripts on this dataset, "ds001787"

2. 

   CMS Manager @ 5:52 pm on 12 Feb 2024

   1. AA Tayade, RN Khobragade, BILMB: Design of a hybrid Bio inspired Incremental Learning-based model for analysing effects of Meditation on different Body-parts, 2023 6th International Conference on Information Systems and Computer Networks (ISCON), 2023, Cited by 0, https://ieeexplore.ieee.org/abstract/document/10112067/
   2. GK Baboo, S Dubey, V Baths, Comparative Study of Neural Networks (G/C/RNN) and Traditional Machine Learning Models on EEG Datasets, Proceedings of the International Conference on Cognitive and Intelligent Computing: ICCIC 2021, Volume 2, 2023, Cited by 0, https://link.springer.com/chapter/10.1007/978-981-19-2358-6_17
   3. D Sihn, SP Kim, Brain infraslow activity correlates with arousal levels, Frontiers in Neuroscience, 2022, Cited by 9, https://www.frontiersin.org/articles/10.3389/fnins.2022.765585/full
   4. DK Liu, Predicting stress in remote learning via advanced deep learning technologies, arXiv preprint arXiv:2109.11076, 2021, Cited by 3, https://arxiv.org/abs/2109.11076
   5. T Brandmeyer, A Delorme, Closed-loop frontal midlineθ neurofeedback: A novel approach for training focused-attention meditation, Frontiers in Human Neuroscience, 2020, Cited by 48, https://www.frontiersin.org/articles/10.3389/fnhum.2020.00246/full
   6. A Delorme, T Brandmeyer, EEG Meditation Study, Cited by 1

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