Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach

Xintong Shi, Kohei Yamamoto, Tomoaki Ohtsuki, Yutaka Matsui, Kazunari Owada. Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022. pages 1296-1299, IEEE, 2022. [doi]

@inproceedings{ShiYOMO22,
  title = {Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach},
  author = {Xintong Shi and Kohei Yamamoto and Tomoaki Ohtsuki and Yutaka Matsui and Kazunari Owada},
  year = {2022},
  doi = {10.1109/EMBC48229.2022.9870908},
  url = {https://doi.org/10.1109/EMBC48229.2022.9870908},
  researchr = {https://researchr.org/publication/ShiYOMO22},
  cites = {0},
  citedby = {0},
  pages = {1296-1299},
  booktitle = {44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-2782-8},
}