A novel approach for ECG data compression in healthcare monitoring system

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-progr...

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Bibliographic Details
Published in2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014) pp. 1 - 4
Main Authors Shun-Ren Siao, Chih-Cheng Hsu, Lin, Mark Po-Hung, Shuenn-Yuh Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2014
Subjects
Discrete wavelet transforms
Electrocardiography
Equations
Huffman coding
Medical services
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Summary: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.
DOI:10.1109/ISBB.2014.6820946