DWLT compression method based on MSVQ for a real-time ECG monitoring system in WSNs

Authors:
Bonam Kim;Inkyo Jung;Insung Lee;YoungJun Kim
Affiliations:
Chungbuk National University, Chungju, Korea;Chungbuk National University, Chungju, Korea;Chungbuk National University, Chungju, Korea;Chungbuk National University, Chungju, Korea
Venue:
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
Year:
2008

Citing 2
Cited 0

A Survey on Data Compression in Wireless Sensor Networks

ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
Design and Implementation of a Ubiquitous ECG Monitoring System Using SIP and the Zigbee Network

FGCN '07 Proceedings of the Future Generation Communication and Networking - Volume 02

Quantified Score

Hi-index	0.00

Visualization

Abstract

The use of a Zigbee network in various health monitoring systems has become well accepted. However, such a system has limited storage, power supply, bandwidth for communication, and processing speed when massive volumes of bio signals, especially ECG signals are involved. Various effective methods, including using low power hardware, have been proposed to maximize the limited resources. Data compression is one of the most efficient methods. In this paper, we propose an ECG compression algorithm based on a Discrete Wavelet lifting Transform (DWLT) and Multistage Vector Quantization (MSVQ) methods for a ubiquitous ECG monitoring system over the Zigbee Network. We performed an evaluation of the results of the proposed compression method through an ECG monitoring system and experimentation with a pervasive computing test bed.