Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings

Matias Rusanen, Riku Huttunen, Henri Korkalainen, Sami Myllymaa, Juha Töyräs, Katja Myllymaa, Sigríður Sigurðardóttir, Kristin A. Olafsdottir, Timo Leppänen, Erna S. Arnardottir, Samu Kainulainen. Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings. IEEE Transactions on Information Technology in Biomedicine, 27(4):1869-1880, April 2023. [doi]

@article{RusanenHKMTMSOLAK23,
  title = {Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings},
  author = {Matias Rusanen and Riku Huttunen and Henri Korkalainen and Sami Myllymaa and Juha Töyräs and Katja Myllymaa and Sigríður Sigurðardóttir and Kristin A. Olafsdottir and Timo Leppänen and Erna S. Arnardottir and Samu Kainulainen},
  year = {2023},
  month = {April},
  doi = {10.1109/JBHI.2023.3240437},
  url = {https://doi.org/10.1109/JBHI.2023.3240437},
  researchr = {https://researchr.org/publication/RusanenHKMTMSOLAK23},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Information Technology in Biomedicine},
  volume = {27},
  number = {4},
  pages = {1869-1880},
}