Premature Ventricular Contraction Beat Detection with Deep Neural Networks

@article{Jun2016PrematureVC,
  title={Premature Ventricular Contraction Beat Detection with Deep Neural Networks},
  author={Tae Joon Jun and Hyun Ji Park and Nguyen Hoang Minh and Daeyoung Kim and Young-Hak Kim},
  journal={2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)},
  year={2016},
  pages={859-864}
}
A deep neural networks is proposed for the classification of premature ventricular contraction (PVC) beat, which is an irregular heartbeat initiated by Purkinje fibers rather than by sinoatrial node. Several machine learning approaches were proposed for the detection of PVC beats although they resulted in either achieving low accuracy of classification or using limited portion of data from existing electrocardiography (ECG) databases. In this paper, we propose an optimized deep neural networks… CONTINUE READING

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