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

Journal of Medical Systems
Mahsa RaeiatibanadkookiKambiz Bahaadinbeigy

Abstract

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.

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Citations

Mar 2, 2017·Journal of Medical Systems·M A Murillo-EscobarC Cruz-Hernández
May 4, 2017·IEEE Journal of Biomedical and Health Informatics·Ting Yu LiuHsi Chun Wu
Nov 7, 2018·Australasian Physical & Engineering Sciences in Medicine·Ponnambalam MathivananAthi Balaji Ganesh
Oct 27, 2020··Suonan JiancuoRenqing Nuobu

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