ECG signal classification using wavelet transform and Back Propagation Neural Network

@article{Rai2012ECGSC,
  title={ECG signal classification using wavelet transform and Back Propagation Neural Network},
  author={Hari Mohan Rai and Anurag Trivedi},
  journal={2012 5th International Conference on Computers and Devices for Communication (CODEC)},
  year={2012},
  pages={1-4}
}
This paper addressed the use of Back Propagation Neural Network for Classification of ECG waveforms using discrete wavelet transform. We have been selected of MIT-BIH arrhythmia database and picked up 45 files out of 48 files of one minute recording where 25 files are considered as normal class and 20 files of abnormal based on Maximum number of beats present in each record. Proposed method used to classify ECG signal data for abnormal class using BPNN. The features are break up in to two… CONTINUE READING
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