Manuscripts on this dataset

1. 

   CMS Manager @ 5:50 pm on 12 Feb 2024

   Manuscripts on this dataset, "ds003670"

2. 

   CMS Manager @ 5:50 pm on 12 Feb 2024

   1. N Gebodh, V Miskovic, S Laszlo, A Datta, M Bikson, A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning, bioRxiv, 2023, Cited by 0, https://www.biorxiv.org/content/10.1101/2023.01.18.524615.abstract
   2. S Nair, DLMEKL: Design of an Efficient Deep Learning Model for Analyzing the Effect of ECG and EEG Disturbances on Kidney, Lungs and Liver Functions, International Conference on Advanced Communication and Intelligent Systems, 2023, Cited by 0, https://link.springer.com/chapter/10.1007/978-3-031-45124-9_6
   3. N Gebodh, V Miskovic, S Laszlo, A Datta, M Bikson, A Scalable Framework for Closed-Loop Neuromodulation with, Sciences, 2022, Cited by 0, https://drive.google.com/file/d/12QccdMCam6Xc1rgkTsWHt1HRlXzH7WQY/view
   4. N Gebodh, Z Esmaeilpour, A Datta, M Bikson, Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation, Scientific Data, 2021, Cited by 9, https://www.nature.com/articles/s41597-021-01046-y
   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. N Gebodh, Z Esmaeilpour, A Datta, M Bikson, Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation-BIDS, Cited by 1

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