ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning.

Jahangir R, Islam MN, Islam MS, Islam MM

DOI: 10.1186/s12872-025-04678-9
Published: 2025 Apr 7
Container: BMC cardiovascular disorders
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12872-025-04678-9,
  title = {ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning.},
  author = {Jahangir R and Islam MN and Islam MS and Islam MM},
  year = {2025},
  journal = {BMC cardiovascular disorders},
  doi = {10.1186/s12872-025-04678-9},
  url = {https://doi.org/10.1186/s12872-025-04678-9}
}

RIS

TY  - JOUR
TI  - ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning.
AU  - Jahangir R
AU  - Islam MN
AU  - Islam MS
AU  - Islam MM
PY  - 2025
JO  - BMC cardiovascular disorders
DO  - 10.1186/s12872-025-04678-9
UR  - https://doi.org/10.1186/s12872-025-04678-9
ER  -

APA

R, J., MN, I., MS, I., & MM, I. (2025). ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning.. BMC cardiovascular disorders. https://doi.org/10.1186/s12872-025-04678-9

Source records

pubmed · retrieved 2026-09-26T11:42:31.715Z