Deep learning for biosignal control: insights from basic to real-time methods with recommendations.
- DOI
- 10.1088/1741-2552/ac4f9a
- Published
- 2022 Feb 28
- Container
- Journal of neural engineering
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1088/1741-2552/ac4f9a,
title = {Deep learning for biosignal control: insights from basic to real-time methods with recommendations.},
author = {Dillen A and Steckelmacher D and Efthymiadis K and Langlois K and De Beir A and Marusic U and Vanderborght B and Nowé A and Meeusen R and Ghaffari F and Romain O and De Pauw K},
year = {2022},
journal = {Journal of neural engineering},
doi = {10.1088/1741-2552/ac4f9a},
url = {https://doi.org/10.1088/1741-2552/ac4f9a}
}RIS
TY - JOUR TI - Deep learning for biosignal control: insights from basic to real-time methods with recommendations. AU - Dillen A AU - Steckelmacher D AU - Efthymiadis K AU - Langlois K AU - De Beir A AU - Marusic U AU - Vanderborght B AU - Nowé A AU - Meeusen R AU - Ghaffari F AU - Romain O AU - De Pauw K PY - 2022 JO - Journal of neural engineering DO - 10.1088/1741-2552/ac4f9a UR - https://doi.org/10.1088/1741-2552/ac4f9a ER -
APA
A, D., D, S., K, E., K, L., A, D. B., U, M., B, V., A, N., R, M., F, G., O, R., & K, D. P. (2022). Deep learning for biosignal control: insights from basic to real-time methods with recommendations.. Journal of neural engineering. https://doi.org/10.1088/1741-2552/ac4f9a
Source records
- pubmed · retrieved 2026-09-26T12:35:08.962Z