Dataset

Auditory Electrooculogram-based Communication System for ALS patient (pt11)

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  1. 1Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
  2. 2Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany; Wyss Center for Bio- and Neuro-Engineering, Geneva, Switzerland

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Published 01 Nov. 2021 | License Creative Commons Attribution-NonCommercial-ShareAlike 4.0


Description

This dataset contains electrooculogram (EOG) recordings during use of a non-invasive BCI system previously described in doi:10.1038/s41598-020-65333-1. This dataset comprises only recordings for participant p11, with additional recordings not part of the originally published dataset.

Keywords

| Neuroscience | BCI | EOG | brain-computer interface | BMI | brain-machine interface | EEG | human | amyotrophic lateral sclerosis | ALS |

References

  • Tonin, A., Jaramillo-Gonzalez, A., Rana, A. et al. Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State. Sci Rep 10, 8452 (2020). https://doi.org/10.1038/s41598-020-65333-1
  • Verbal Communication using Intracortical Signals in a Completely Locked In-Patient. Ujwal Chaudhary, Ioannis Vlachos, Jonas B. Zimmermann, Arnau Espinosa, Alessandro Tonin, Andres Jaramillo-Gonzalez, Majid Khalili-Ardali, Helge Topka, Jens Lehmberg, Gerhard M. Friehs, Alain Woodtli, John P. Donoghue, Niels Birbaumer. medRxiv 2020.06.10.20122408; doi: https://doi.org/10.1101/2020.06.10.20122408

Funding

  • Deutsche Forschungsgemeinschaft (DFG) DFG BI 195/77-1
  • BMBF (German Ministry of Education and Research) 16SV7701
  • CoMiCon
  • LUMINOUS-H2020-FETOPEN-2014-2015-RIA (686764)
  • Wyss Center for Bio and Neuroengineering Geneva

Citation

Tonin A, Jaramillo-Gonzalez A, Rana A, Khalili-Ardali M, Birbaumer N, Chaudhary U (2021) Auditory Electrooculogram-based Communication System for ALS patient (pt11). G-Node. https://doi.org/10.12751/g-node.ng4dfr