@inproceedings{ecdb40ad7ae54117b6128c6584869fdd,
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,
day = "1",
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",
}