Performance Analysis of ECG Signal Compression using SPIHT Cover

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Performance Analysis of ECG Signal Compression using SPIHT

International Journal on Smart Sensing and Intelligent Systems

Volume 6 (2013): Issue 5 (January 2013)

By: Sani Muhamad Isa, M. Eka Suryana, M. Ali Akbar, Ary Noviyanto, Wisnu Jatmiko and Aniati Murni Arymurthy

Open Access

|Dec 2013

Authors

Sani Muhamad Isa

sani.muhamad@ui.ac.id

Faculty of Computer Science, University of Indonesia Depok, Indonesia

M. Eka Suryana

eka.suryana@gmail.com

Faculty of Computer Science, University of Indonesia Depok, Indonesia

M. Ali Akbar

Faculty of Computer Science, University of Indonesia Depok, Indonesia

Ary Noviyanto

ary.noviyanto@ui.ac.id

Faculty of Computer Science, University of Indonesia Depok, Indonesia

Wisnu Jatmiko

wisnuj@cs.ui.ac.id

Faculty of Computer Science, University of Indonesia Depok, Indonesia

Aniati Murni Arymurthy

aniati@cs.ui.ac.id

Faculty of Computer Science, University of Indonesia Depok, Indonesia

DOI: https://doi.org/10.21307/ijssis-2017-624 | Journal eISSN: 1178-5608

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Language: English

Page range: 2011 - 2039

Submitted on: Jul 12, 2013

Accepted on: Nov 3, 2013

Published on: Dec 16, 2013

Published by: Professor Subhas Chandra Mukhopadhyay

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

ECG compression,

set partitioning in hierarchical trees (SPIHT),

wavelet transform,

multirate signal processing.

Related subjects:

Introductions and overviews,

Engineering, other

© 2013 Sani Muhamad Isa, M. Eka Suryana, M. Ali Akbar, Ary Noviyanto, Wisnu Jatmiko, Aniati Murni Arymurthy, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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