ECG classification using ensemble of features

@article{Gunal2013ECGCU,
  title={ECG classification using ensemble of features},
  author={Serkan Gunal and Semih Ergin and Efnan Sora Gunal and Alper Kursat Uysal},
  journal={2013 47th Annual Conference on Information Sciences and Systems (CISS)},
  year={2013},
  pages={1-5}
}
In the literature, countless efforts have been made to analyze and classify electrocardiogram (ECG) signals belonging to various heart problems. In all these efforts, many feature extraction strategies have been used to expose discriminative information from ECG signals. In this paper, the contributions of widely used features to the classification performance and the required processing times to extract those features are comparatively analyzed. The utilized features can be briefly listed as… CONTINUE READING
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