A Deep Learning Framework for Classifications of Pathological Heartbeats from ECG Signals

Raja Vavekanand

Open source

DOI
10.31579/2690-1897/231
Published
2025-01-31
Container
Journal of Surgical Case Reports and Images
Publisher
Auctores Publishing LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 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:10.31579/2690-1897/231,
  title = {A Deep Learning Framework for Classifications of Pathological Heartbeats from ECG Signals},
  author = {Raja Vavekanand},
  year = {2025},
  journal = {Journal of Surgical Case Reports and Images},
  doi = {10.31579/2690-1897/231},
  url = {https://doi.org/10.31579/2690-1897/231}
}

RIS

TY  - JOUR
TI  - A Deep Learning Framework for Classifications of Pathological Heartbeats from ECG Signals
AU  - Raja Vavekanand
PY  - 2025
JO  - Journal of Surgical Case Reports and Images
DO  - 10.31579/2690-1897/231
UR  - https://doi.org/10.31579/2690-1897/231
ER  - 

APA

Vavekanand, R. (2025). A Deep Learning Framework for Classifications of Pathological Heartbeats from ECG Signals. Journal of Surgical Case Reports and Images. https://doi.org/10.31579/2690-1897/231

Source records