A Robust Approach to Wavelet Transform Feature Extraction of ECG Signal

Authors

  • Naveen Munjal Lecturer, Department of ECE, Guru Nanak Dev Institute of Technology, Rohini, Delhi
  • Dr Shiv Ratan Singh In charge (Head), Department of ECE, Guru Nanak Dev Institute of Technology, Rohini, Delhi

Keywords:

wavelet transform, feature extraction, ECG signal

Abstract

This proposed paper discusses various techniques and transformations proposed earlier in literature for
extracting feature from an ECG signal. In addition this paper also provides a comparative study of various methods
proposed by researchers in extracting the feature from ECG signal. We also propose an improved algorithm for
feature extraction through wavelet transform. Eighty four original input features were extracted from pre-processed
signals by wavelet transform per 12 lead ECG signal.

Published

2016-12-25

How to Cite

Naveen Munjal, & Dr Shiv Ratan Singh. (2016). A Robust Approach to Wavelet Transform Feature Extraction of ECG Signal. International Journal of Advance Engineering and Research Development (IJAERD), 3(12), 52–61. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/1848