Compression and Comparison of ECG Signals using DWT and DWPT

Beenu Riju; P  Sreevidya  and K  Smitha

doi:10.17485/ijst/2015/v8i24/83319

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Compression and Comparison of ECG Signals using DWT and DWPT

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i24/83319

Year: 2015, Volume: 8, Issue: 24, Pages: 1-5

Original Article

Compression and Comparison of ECG Signals using DWT and DWPT

Beenu Riju¹, P. Sreevidya¹ and K. Smitha²

¹ Electronics and Instrumentation Department, FISAT, Angamaly, Ernakulam - 683577, Kerala, India; [email protected], [email protected]
² Applied Electronics and Instrumentation Department, ASIET, Kalady, Ernakulam - 683574, Kerala, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The work here attempts to incorporate the power of frequency domain tools like wavelets and wavelet packets for aiding data compression using runlength encoding. An attempt is made here to compare between the performance of wavelets and wavelet packets for data compression. The DWT is performed in one level with sym8, the coefficients are threshold by hard rule and encoding is done by zero run length. In case of DWPT the best tree is selected from level 8 decomposition based on maximum energy content in them and out of that sub bands, best bands are selected based on SVD.
Keywords: DWPT, DWT, ECG, Runlength Encoding