DWLT Compression Method Based on MSVQ for a real-time ECG monitoring System in WSNs

摘要

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 andrnexperimentation with a pervasive computing test bed.