A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction.

Wöhrle H, Tabie M, Kim SK, Kirchner F, Kirchner EA

Open source

DOI
10.3390/s17071552
Published
2017 Jul 3
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s17071552,
  title = {A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction.},
  author = {Wöhrle H and Tabie M and Kim SK and Kirchner F and Kirchner EA},
  year = {2017},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s17071552},
  url = {https://doi.org/10.3390/s17071552}
}

RIS

TY  - JOUR
TI  - A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction.
AU  - Wöhrle H
AU  - Tabie M
AU  - Kim SK
AU  - Kirchner F
AU  - Kirchner EA
PY  - 2017
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s17071552
UR  - https://doi.org/10.3390/s17071552
ER  -

APA

H, W., M, T., SK, K., F, K., & EA, K. (2017). A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s17071552

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