title: Compression and Encryption of ECG Signal Using Wavelet and Chaotically Huffman Code in Telemedicine Application.
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.
authors.affiliation: Department of Biomedical Engineering, Islamic Azad University of Mashhad, Mashhad, Iran. mahsa.raeiati.b@gmail.com.
authors.forename: Mahsa
authors.initials: M
authors.lastname: Raeiatibanadkooki
authors.affiliation: Department of Electronic Engineering, Islamic Azad University of Mashhad, Mashhad, Iran.
authors.forename: Saeed Rahati
authors.initials: SR
authors.lastname: Quchani
authors.affiliation: Department of Biomedical Engineering, Islamic Azad University of Mashhad, Mashhad, Iran.
authors.forename: MohammadMahdi
authors.initials: M
authors.lastname: KhalilZade
authors.affiliation: Kerman University of Medical Sciences, Kerman, Iran.
authors.forename: Kambiz
authors.initials: K
authors.lastname: Bahaadinbeigy
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D017711:Nonlinear Dynamics; D017216:Telemedicine / Q000379:methods*; D058067:Wavelet Analysis
keywords: Chaos; Huffman coding; Mobile monitoring; TCP/IP protocol; Wavelet