Single heartbeat ECG authentication: a 1D-CNN framework for robust and efficient human identification.

Yuniarti AR, Rizal S, Lim KM

Open source

DOI
10.3389/fbioe.2024.1398888
Published
2024
Container
Frontiers in bioengineering and biotechnology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fbioe.2024.1398888,
  title = {Single heartbeat ECG authentication: a 1D-CNN framework for robust and efficient human identification.},
  author = {Yuniarti AR and Rizal S and Lim KM},
  year = {2024},
  journal = {Frontiers in bioengineering and biotechnology},
  doi = {10.3389/fbioe.2024.1398888},
  url = {https://doi.org/10.3389/fbioe.2024.1398888}
}

RIS

TY  - JOUR
TI  - Single heartbeat ECG authentication: a 1D-CNN framework for robust and efficient human identification.
AU  - Yuniarti AR
AU  - Rizal S
AU  - Lim KM
PY  - 2024
JO  - Frontiers in bioengineering and biotechnology
DO  - 10.3389/fbioe.2024.1398888
UR  - https://doi.org/10.3389/fbioe.2024.1398888
ER  - 

APA

AR, Y., S, R., & KM, L. (2024). Single heartbeat ECG authentication: a 1D-CNN framework for robust and efficient human identification.. Frontiers in bioengineering and biotechnology. https://doi.org/10.3389/fbioe.2024.1398888

Source records