Direct Reconstruction of High-Fidelity Electrocardiogram Signals From Vector-Based PDF Files With Integrated Deep Learning for Multiparameter Estimation: Retrospective Methodological Study

Shian-Sen Shie, Po-Yen Huang, Ming-Shien Wen, Chao-Yung Wang

Open source

DOI
10.2196/80597
Published
2026-07-24
Container
JMIR Formative Research
Publisher
JMIR Publications Inc.
Open access
unknown

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BibTeX

@article{allodium:10.2196/80597,
  title = {Direct Reconstruction of High-Fidelity Electrocardiogram Signals From Vector-Based PDF Files With Integrated Deep Learning for Multiparameter Estimation: Retrospective Methodological Study},
  author = {Shian-Sen Shie and Po-Yen Huang and Ming-Shien Wen and Chao-Yung Wang},
  year = {2026},
  journal = {JMIR Formative Research},
  doi = {10.2196/80597},
  url = {https://doi.org/10.2196/80597}
}

RIS

TY  - JOUR
TI  - Direct Reconstruction of High-Fidelity Electrocardiogram Signals From Vector-Based PDF Files With Integrated Deep Learning for Multiparameter Estimation: Retrospective Methodological Study
AU  - Shian-Sen Shie
AU  - Po-Yen Huang
AU  - Ming-Shien Wen
AU  - Chao-Yung Wang
PY  - 2026
JO  - JMIR Formative Research
DO  - 10.2196/80597
UR  - https://doi.org/10.2196/80597
ER  - 

APA

Shie, S., Huang, P., Wen, M., & Wang, C. (2026). Direct Reconstruction of High-Fidelity Electrocardiogram Signals From Vector-Based PDF Files With Integrated Deep Learning for Multiparameter Estimation: Retrospective Methodological Study. JMIR Formative Research. https://doi.org/10.2196/80597

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