A novel approach for ECG data compression in healthcare monitoring system

Shun Ren Siao; Chih Cheng Hsu; Mark Po Hung Lin; Shuenn Yuh Lee

doi:10.1109/ISBB.2014.6820946

A novel approach for ECG data compression in healthcare monitoring system

Shun Ren Siao, Chih Cheng Hsu, Mark Po Hung Lin, Shuenn Yuh Lee

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper presents a novel approach for electrocardiogram (ECG) data compression in a healthcare monitoring system, which helps to reduce power consumption during wireless communication. The proposed ECG data compression approach consists of multilevel vector (MLV) compression, integer-linear- programming (ILP)-based compression, and Huffman coding. The MLV compression provides different compression levels for different parts of ECG signal. The ILP-based compression achieves even higher compression ratio while satisfying tolerable error rate. The Huffman coding encodes compressed ECG data without data loss. Experimental results based on the MIT-BIH arrhythmia database show that our approach result in the best quality and accuracy in terms of compression ratio and error rate compared with the previous works.

Original language	English
Title of host publication	2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
Publisher	IEEE Computer Society
ISBN (Print)	9781479927708
DOIs	https://doi.org/10.1109/ISBB.2014.6820946
Publication status	Published - 2014 Jan 1
Event	2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 - Chung Li, Taiwan Duration: 2014 Apr 11 → 2014 Apr 14

Publication series

Name	2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014

Other

Other	2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
Country/Territory	Taiwan
City	Chung Li
Period	14-04-11 → 14-04-14

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Health Informatics

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10.1109/ISBB.2014.6820946

Cite this

Siao, S. R., Hsu, C. C., Lin, M. P. H., & Lee, S. Y. (2014). A novel approach for ECG data compression in healthcare monitoring system. In 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 Article 6820946 (2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014). IEEE Computer Society. https://doi.org/10.1109/ISBB.2014.6820946

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title = "A novel approach for ECG data compression in healthcare monitoring system",

abstract = "This paper presents a novel approach for electrocardiogram (ECG) data compression in a healthcare monitoring system, which helps to reduce power consumption during wireless communication. The proposed ECG data compression approach consists of multilevel vector (MLV) compression, integer-linear- programming (ILP)-based compression, and Huffman coding. The MLV compression provides different compression levels for different parts of ECG signal. The ILP-based compression achieves even higher compression ratio while satisfying tolerable error rate. The Huffman coding encodes compressed ECG data without data loss. Experimental results based on the MIT-BIH arrhythmia database show that our approach result in the best quality and accuracy in terms of compression ratio and error rate compared with the previous works.",

author = "Siao, {Shun Ren} and Hsu, {Chih Cheng} and Lin, {Mark Po Hung} and Lee, {Shuenn Yuh}",

year = "2014",

month = jan,

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doi = "10.1109/ISBB.2014.6820946",

language = "English",

isbn = "9781479927708",

series = "2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014",

publisher = "IEEE Computer Society",

booktitle = "2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014",

address = "United States",

note = "2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 ; Conference date: 11-04-2014 Through 14-04-2014",

}

Siao, SR, Hsu, CC, Lin, MPH & Lee, SY 2014, A novel approach for ECG data compression in healthcare monitoring system. in 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014., 6820946, 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014, IEEE Computer Society, 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014, Chung Li, Taiwan, 14-04-11. https://doi.org/10.1109/ISBB.2014.6820946

A novel approach for ECG data compression in healthcare monitoring system. / Siao, Shun Ren; Hsu, Chih Cheng; Lin, Mark Po Hung et al.
2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014. IEEE Computer Society, 2014. 6820946 (2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - This paper presents a novel approach for electrocardiogram (ECG) data compression in a healthcare monitoring system, which helps to reduce power consumption during wireless communication. The proposed ECG data compression approach consists of multilevel vector (MLV) compression, integer-linear- programming (ILP)-based compression, and Huffman coding. The MLV compression provides different compression levels for different parts of ECG signal. The ILP-based compression achieves even higher compression ratio while satisfying tolerable error rate. The Huffman coding encodes compressed ECG data without data loss. Experimental results based on the MIT-BIH arrhythmia database show that our approach result in the best quality and accuracy in terms of compression ratio and error rate compared with the previous works.

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A novel approach for ECG data compression in healthcare monitoring system

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