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Authors: Asiya Al-Busaidi and Lazhar Khriji

Affiliation: Sultan Qaboos University, Oman

Keyword(s): Data Compression, ECG, Telecardiology, Wavelet Transform, Running Length Encoding, PRD, CR.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing ; Wavelet Transform

Abstract: This paper presents a development of new size-controlled compression algorithm for Electrocardiogram signal (ECG). Discrete Wavelet Transform (DWT) method, Bit-Field Preserving (BFP) and Running Length Encoding (RLE) are selected as compression tools in this work. Even though DWT-BFP-RLE is a lossy compression method, it has shown a potential in preserving the critical (diagnostic) part of the signal. Knowing that the size of transmitted packets of the battery-powered mobile telecardiology systems is limited within few bytes, the current algorithm is aiming to ensure that the compressed packets fit into the limited payload size. A parametric study of different mother wavelets and decomposition levels of DWT is presented with an emphasize on compression ratio (CR), percentage mean-square difference (PRD) and quality score (QS). The mother wavelet giving the best CR and QS results is then adopted to perform the dynamic compression algorithm on ECG records from MIT-BIH arrhythmia databa se. (More)

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Paper citation in several formats:
Al-Busaidi, A. and Khriji, L. (2015). Packet-size-Controlled ECG Compression Algorithm based on Discrete Wavelet Transform and Running Length Encoding. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - BIOSIGNALS; ISBN 978-989-758-069-7; ISSN 2184-4305, SciTePress, pages 246-254. DOI: 10.5220/0005225202460254

@conference{biosignals15,
author={Asiya Al{-}Busaidi. and Lazhar Khriji.},
title={Packet-size-Controlled ECG Compression Algorithm based on Discrete Wavelet Transform and Running Length Encoding},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - BIOSIGNALS},
year={2015},
pages={246-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005225202460254},
isbn={978-989-758-069-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - BIOSIGNALS
TI - Packet-size-Controlled ECG Compression Algorithm based on Discrete Wavelet Transform and Running Length Encoding
SN - 978-989-758-069-7
IS - 2184-4305
AU - Al-Busaidi, A.
AU - Khriji, L.
PY - 2015
SP - 246
EP - 254
DO - 10.5220/0005225202460254
PB - SciTePress