A Support Vector Machine approach for reliable detection of atrial fibrillation events

@article{Colloca2013ASV,
  title={A Support Vector Machine approach for reliable detection of atrial fibrillation events},
  author={Roberta Colloca and Alistair Ew Johnson and Luca T. Mainardi and Gari D. Clifford},
  journal={Computing in Cardiology 2013},
  year={2013},
  pages={1047-1050}
}
There is a need for accurate and reliable detectors of asymptomatic atrial fibrillation (AF). Several ECG-based algorithms have been described in the literature, but no open comparison of features on out of-sample data has been published. Therefore, ten R-peak related features were selected from detectors available in literature and their classification performances were assessed both univariately and when combined using a Support Vector Machine (SVM). The MIT-BIH AFDB was used as the training… CONTINUE READING
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