Robust algorithm for arrhythmia classification in ECG using extreme learning machine

@inproceedings{Kim2009RobustAF,
  title={Robust algorithm for arrhythmia classification in ECG using extreme learning machine},
  author={Jinkwon Kim and Hang Sik Shin and Kwangsoo Shin and Myoungho Lee},
  booktitle={Biomedical engineering online},
  year={2009}
}
BACKGROUND Recently, extensive studies have been carried out on arrhythmia classification algorithms using artificial intelligence pattern recognition methods such as neural network. To improve practicality, many studies have focused on learning speed and the accuracy of neural networks. However, algorithms based on neural networks still have some problems concerning practical application, such as slow learning speeds and unstable performance caused by local minima. METHODS In this paper we… CONTINUE READING