A Lightweight Central Learning Approach for Arrhythmia Detection from ECG Signals

Abdulla Aboumadi, Elias Yaacoub, Khalid Abualsaud. A Lightweight Central Learning Approach for Arrhythmia Detection from ECG Signals. In 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Melbourne, Australia, December 6-8, 2021. pages 37-42, IEEE, 2021. [doi]

@inproceedings{AboumadiYA21,
  title = {A Lightweight Central Learning Approach for Arrhythmia Detection from ECG Signals},
  author = {Abdulla Aboumadi and Elias Yaacoub and Khalid Abualsaud},
  year = {2021},
  doi = {10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00021},
  url = {https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00021},
  researchr = {https://researchr.org/publication/AboumadiYA21},
  cites = {0},
  citedby = {0},
  pages = {37-42},
  booktitle = {2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Melbourne, Australia, December 6-8, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1762-4},
}