Compression and Encryption of ECG Signal Using Wavelet and Chaotically Huffman Code in Telemedicine Application

被引：0

作者：

Mahsa Raeiatibanadkooki

Saeed Rahati Quchani

MohammadMahdi KhalilZade

Kambiz Bahaadinbeigy

机构：

[1] Islamic Azad University of Mashhad,Department of Biomedical Engineering

[2] Islamic Azad University of Mashhad,Department of Electronic Engineering

[3] Kerman University of Medical Sciences,undefined

来源：

Journal of Medical Systems | 2016年 / 40卷

关键词：

Chaos; Huffman coding; Mobile monitoring; TCP/IP protocol; Wavelet;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In mobile health care monitoring, compression is an essential tool for solving storage and transmission problems. The important issue is able to recover the original signal from the compressed signal. The main purpose of this paper is compressing the ECG signal with no loss of essential data and also encrypting the signal to keep it confidential from everyone, except for physicians. In this paper, mobile processors are used and there is no need for any computers to serve this purpose. After initial preprocessing such as removal of the baseline noise, Gaussian noise, peak detection and determination of heart rate, the ECG signal is compressed. In compression stage, after 3 steps of wavelet transform (db04), thresholding techniques are used. Then, Huffman coding with chaos for compression and encryption of the ECG signal are used. The compression rates of proposed algorithm is 97.72 %. Then, the ECG signals are sent to a telemedicine center to acquire specialist diagnosis by TCP/IP protocol.

引用

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