Algorithm for Classifying Arrhythmia using Extreme Learning Machine and Principal Component Analysis

@article{Kim2007AlgorithmFC,
  title={Algorithm for Classifying Arrhythmia using Extreme Learning Machine and Principal Component Analysis},
  author={Jinkwon Kim and Hangsik Shin and Yonwook Lee and Myoungho Lee},
  journal={2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2007},
  pages={3257-3260}
}
In this paper, we developed the novel algorithm for cardiac arrhythmia classification. Until now, back propagation neural network (BPNN) was frequently used for these tasks. However, general gradient based learning method is far slower than what is required for their application. The proposed algorithm adapts extreme learning machine (ELM) that has the advantage of very fast learning speed and high accuracy. In this paper, we classify beats into normal beat, left bundle branch block beat, right… CONTINUE READING
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