A Deep Learning based Model for Decoding Motion Intent of Traumatic Brain Injured Patients' using HD-sEMG Recordings

Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Ejay Nsugbe, Yazan Ali Jarrah, Olumide Olayinka Obe, Yanjuan Geng, Guanglin Li. A Deep Learning based Model for Decoding Motion Intent of Traumatic Brain Injured Patients' using HD-sEMG Recordings. In IEEE International Workshop on Metrology for Industry 4.0 & IoT, MetroInd4.0&IoT 2021, Rome, Italy, June 7-9, 2021. pages 609-614, IEEE, 2021. [doi]

@inproceedings{AsogbonSNJOGL21,
  title = {A Deep Learning based Model for Decoding Motion Intent of Traumatic Brain Injured Patients' using HD-sEMG Recordings},
  author = {Mojisola Grace Asogbon and Oluwarotimi Williams Samuel and Ejay Nsugbe and Yazan Ali Jarrah and Olumide Olayinka Obe and Yanjuan Geng and Guanglin Li},
  year = {2021},
  doi = {10.1109/MetroInd4.0IoT51437.2021.9488440},
  url = {https://doi.org/10.1109/MetroInd4.0IoT51437.2021.9488440},
  researchr = {https://researchr.org/publication/AsogbonSNJOGL21},
  cites = {0},
  citedby = {0},
  pages = {609-614},
  booktitle = {IEEE International Workshop on Metrology for Industry 4.0 & IoT, MetroInd4.0&IoT 2021, Rome, Italy, June 7-9, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1980-2},
}