Hybrid CNN-BLSTM architecture for classification and detection of arrhythmia in ECG signals
- DOI
- 10.1038/s41598-025-17671-1
- Published
- 2025-10-03
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-17671-1,
title = {Hybrid CNN-BLSTM architecture for classification and detection of arrhythmia in ECG signals},
author = {Yuguang Ye and Kavimbi Chipusu and Muhammad Awais Ashraf and Bijiao Ding and Yifeng Huang and Jianlong Huang},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-17671-1},
url = {https://doi.org/10.1038/s41598-025-17671-1}
}RIS
TY - JOUR TI - Hybrid CNN-BLSTM architecture for classification and detection of arrhythmia in ECG signals AU - Yuguang Ye AU - Kavimbi Chipusu AU - Muhammad Awais Ashraf AU - Bijiao Ding AU - Yifeng Huang AU - Jianlong Huang PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-17671-1 UR - https://doi.org/10.1038/s41598-025-17671-1 ER -
APA
Ye, Y., Chipusu, K., Ashraf, M. A., Ding, B., Huang, Y., & Huang, J. (2025). Hybrid CNN-BLSTM architecture for classification and detection of arrhythmia in ECG signals. Scientific Reports. https://doi.org/10.1038/s41598-025-17671-1
Source records
- crossref · retrieved 2026-09-27T07:04:52.619Z