Unsupervised Learning-Based Non-Invasive Fetal ECG Muti-Level Signal Quality Assessment.

Shi X, Yamamoto K, Ohtsuki T, Matsui Y, Owada K.

Open source

DOI: 10.3390/bioengineering10010066
Published: 2023-01-04
Container: Bioengineering (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bioengineering10010066,
  title = {Unsupervised Learning-Based Non-Invasive Fetal ECG Muti-Level Signal Quality Assessment.},
  author = {Shi X and  Yamamoto K and  Ohtsuki T and  Matsui Y and  Owada K.},
  year = {2023},
  journal = {Bioengineering (Basel)},
  doi = {10.3390/bioengineering10010066},
  url = {https://doi.org/10.3390/bioengineering10010066}
}

RIS

TY  - JOUR
TI  - Unsupervised Learning-Based Non-Invasive Fetal ECG Muti-Level Signal Quality Assessment.
AU  - Shi X
AU  -  Yamamoto K
AU  -  Ohtsuki T
AU  -  Matsui Y
AU  -  Owada K.
PY  - 2023
JO  - Bioengineering (Basel)
DO  - 10.3390/bioengineering10010066
UR  - https://doi.org/10.3390/bioengineering10010066
ER  -

APA

X, S., K, Y., T, O., Y, M., & K., O. (2023). Unsupervised Learning-Based Non-Invasive Fetal ECG Muti-Level Signal Quality Assessment.. Bioengineering (Basel). https://doi.org/10.3390/bioengineering10010066

Source records

europe-pmc · retrieved 2026-09-27T04:23:26.429Z
doaj · retrieved 2026-09-27T04:23:26.429Z