Wavelet-based Machine Learning Techniques for ECG Signal Analysis

@inproceedings{Martis2014WaveletbasedML,
  title={Wavelet-based Machine Learning Techniques for ECG Signal Analysis},
  author={Roshan Joy Martis and Chandan Chakraborty and Ajoy Kumar Ray},
  booktitle={Machine Learning in Healthcare Informatics},
  year={2014}
}
Machine learning of ECG is a core component in any of the ECG-based healthcare informatics system. Since the ECG is a nonlinear signal, the subtle changes in its amplitude and duration are not well manifested in time and frequency domains. Therefore, in this chapter, we introduce a machine-learning approach to screen arrhythmia from normal sinus rhythm from the ECG. The methodology consists of R-point detection using the Pan-Tompkins algorithm, discrete wavelet transform (DWT) decomposition… CONTINUE READING

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