A novel approach for ECG data compression in healthcare monitoring system

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

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
發行者IEEE Computer Society
ISBN(列印)9781479927708
DOIs
出版狀態Published - 1 一月 2014
事件2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 - Chung Li, Taiwan
持續時間: 11 四月 201414 四月 2014

出版系列

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

Conference

Conference2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
國家/地區Taiwan
城市Chung Li
期間11/04/1414/04/14

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