Dataset
Auditory Electrooculogram-based Communication System for ALS patient (pt11)
- 1Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- 2Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany; Wyss Center for Bio- and Neuro-Engineering, Geneva, Switzerland
DOI: 10.12751/g-node.ng4dfr BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 8.1 GiB)
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 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 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