Compression and Encryption of ECG Signal Using Wavelet and Chaotically Huffman Code in Telemedicine Application.
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 als...
| Publicado en: | Journal of Medical Systems Vol. 40; no. 3; pp. 1 - 9 |
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| Autores principales: | , , , |
| Formato: | equations & formulas pictorial research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
Mar2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115925281&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115925281 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Mar2016 vid: 40 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115925281 115925281 115925281 10.1007/s10916-016-0433-5 115925281 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Compression and Encryption of ECG Signal Using Wavelet and Chaotically Huffman Code in Telemedicine Application. aug: au: Raeiatibanadkooki, Mahsa Quchani, Saeed KhalilZade, MohammadMahdi Bahaadinbeigy, Kambiz affil: Department of Biomedical Engineering, Islamic Azad University of Mashhad, Mashhad Iran sug: subj: Telemedicine Monitoring, Physiologic Methods Wearable Sensors Utilization Electrocardiography Encryption Methods Data Security Methods Image Processing, Computer Assisted Cellular Phone Utilization Mobile Applications Algorithms Artifacts Communication Protocols Noise Descriptive Statistics ab: 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. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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