Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Nov 2016
Next issue: Feb 2017
Avg review time: 97 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


TRAFFIC STATS

1,460,476 unique visits
469,501 downloads
Since November 1, 2009



No robots online now


SJR SCImago RANK

SCImago Journal & Country Rank


SEARCH ENGINES

aece.ro - Google Pagerank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 16 (2016)
 
     »   Issue 4 / 2016
 
     »   Issue 3 / 2016
 
     »   Issue 2 / 2016
 
     »   Issue 1 / 2016
 
 
 Volume 15 (2015)
 
     »   Issue 4 / 2015
 
     »   Issue 3 / 2015
 
     »   Issue 2 / 2015
 
     »   Issue 1 / 2015
 
 
 Volume 14 (2014)
 
     »   Issue 4 / 2014
 
     »   Issue 3 / 2014
 
     »   Issue 2 / 2014
 
     »   Issue 1 / 2014
 
 
 Volume 13 (2013)
 
     »   Issue 4 / 2013
 
     »   Issue 3 / 2013
 
     »   Issue 2 / 2013
 
     »   Issue 1 / 2013
 
 
  View all issues  


FEATURED ARTICLE

ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
Issue 3/2016

AbstractPlus






LATEST NEWS

2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

2015-Dec-04
Starting with Issue 2/2016, the article processing charge is 300 EUR for each article accepted for publication. The charge of 25 EUR per page for papers over 8 pages will not be changed. Details are available in the For authors section.

2015-Jun-10
Thomson Reuters published the Journal Citations Report for 2014. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.529, and the JCR 5-Year Impact Factor is 0.476.

2015-Feb-09
Starting on the 9th of February 2015, we require all authors to identify themselves, when a submission is made, by entering their SCOPUS Author IDs, instead of the organizations, when available. This information will let us better know the publishing history of the authors and better assign the reviewers on different topics.

2015-Feb-08
We have more than 500 author names on the ban-list for cheating, including plagiarism, false signatures on the copyright form, false E-mail addresses and even tentative to impersonate well-known researchers in order to become a reviewer of our Journal. We maintain a full history of such incidents.

Read More »


    
 

  4/2010 - 4

On ECG Compressed Sensing using Specific Overcomplete Dictionaries

FIRA, M. See more information about FIRA, M. on SCOPUS See more information about FIRA, M. on IEEExplore See more information about FIRA, M. on Web of Science, GORAS, L. See more information about  GORAS, L. on SCOPUS See more information about  GORAS, L. on SCOPUS See more information about GORAS, L. on Web of Science, BARABASA, C. See more information about  BARABASA, C. on SCOPUS See more information about  BARABASA, C. on SCOPUS See more information about BARABASA, C. on Web of Science, CLEJU, N. See more information about CLEJU, N. on SCOPUS See more information about CLEJU, N. on SCOPUS See more information about CLEJU, N. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,849 KB) | Citation | Downloads: 1,650 | Views: 3,932

Author keywords
compressed sensing, biomedical signal processing, electrocardiography, pursuit algorithms, signal processing algorithms

References keywords
signal(12), wavelet(6), sensing(6), processing(6), biomed(6), tbme(5), signals(5), sampling(5), classification(5), science(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-11-30
Volume 10, Issue 4, Year 2010, On page(s): 23 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.04004
Web of Science Accession Number: 000284782700004
SCOPUS ID: 78649711600

Abstract
Quick view
Full text preview
The paper presents a number of results regarding the construction of specific overcomplete dictionaries for ECG compressed sensing (CS). The dictionaries were built using normal and patological cardiac patterns extracted from 24 recordings of the MIT-BIH Arrhythmia Database. It has been shown that the compression results obtained using the CS concept based on specific dictionaries are better that those using the wavelet overcomplete dictionaries. Starting from the concept of sparse signal with respect to a given overcomplete dictionary the paper present several results regarding the possibility of simple pattern classification as well.


References | Cited By  «-- Click to see who has cited this paper

[1] Tai, S. C., Sun, C. C., Yan, W. C. (2005). A 2-D ECG compression method based on wavelet transform and modified SPIHT. IEEE Transactions on Biomedical Engineering, 52(6), 999-1008.
[CrossRef] [PubMed] [Web of Science Times Cited 49] [SCOPUS Times Cited 65]


[2] M. Hilton, "Wavelet and wavelet packet compression of electrocardiograms," IEEE Trans. on Biomedical Engineering, vol. 44, pp. 394-402, 1997.
[CrossRef] [PubMed] [Web of Science Times Cited 200] [SCOPUS Times Cited 265]


[3] R. Sameni, M. B. Shamsollahi, C. Jutten, and G. D. Clifford, "A nonlinear Bayesian filtering framework for ECG denoising," IEEE Trans. on Biomedical Engineering, vol. 54, pp. 2172-2185, 2007. [PubMed]

[4] Sandor M. Szilagyi, Laszlo Szilagyi and Zoltan Benyo, "Adaptive ECG Compression Using Support Vector Machine", Progress in Pattern Recognition, Image Analysis and Applications, Lecture Notes in Computer Science, 2007, Volume 4756/2007
[CrossRef]


[5] A. Ebrahimzadeh, A. Khazaee, "An Efficient Technique for Classification of Electrocardiogram Signals," Advances in Electrical and Computer Engineering, vol. 9, no. 3, pp. 89-93, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 9]


[6] Ching-Kun Chen; Chun-Liang Lin; Yen-Ming Chiu, Data Encryption Using ECG Signals with Chaotic Henon Map, 2010 International Conference on Information Science and Applications (ICISA), April 2010

[7] David Salomon, "Data Compression", Springer, 2007 [PermaLink]

[8] K. R. Rao and P. C. Yip., "The Transform and Data Compression Handbook", CRC Press LLC, 2001. [PermaLink]

[9] Y. Zigel, A. Cohen, A. Katz, "The Weighted Diagnostic Distortion (WDD) Measure for ECG Signal Compression", IEEE Trans. on Biomed. Eng, vol. 47, no. 11, November, 2000, pp. 1422-1430.
[CrossRef] [PubMed] [Web of Science Times Cited 122] [SCOPUS Times Cited 187]


[10] M. Fira, L. Goras, "An ECG signals compression method and its validation using NN's", IEEE Trans Biomed Eng 2008, 45, pp. 1319-1326.
[CrossRef] [PubMed] [Web of Science Times Cited 34] [SCOPUS Times Cited 57]


[11] Y. Zigel, A. Cohen, and A. Katz, "ECG Signal Compression Using Analysis by Synthesis Coding", IEEE Trans. on Biomed. Eng, Vol. 47, No. 10, October, 2000, pp. 1308-1316.
[CrossRef] [PubMed] [Web of Science Times Cited 57] [SCOPUS Times Cited 89]


[12] S. S. Chen , D. L. Donoho , Michael , A. Saunders, "Atomic decomposition by basis pursuit", SIAM J. Sci. Comput., vol. 20, no. 1, pp. 33-61, Jan. 1999.
[CrossRef] [Web of Science Times Cited 2106]


[13] David Donoho, "Compressed sensing", IEEE Trans. on Information Theory, 52(4), pp. 1289-1306, April 2006
[CrossRef] [Web of Science Times Cited 8028] [SCOPUS Times Cited 11334]


[14] Emmanuel Candes, Compressive sampling, Int. Congress of Mathematics, 3, pp. 1433-1452, Madrid, Spain, 2006

[15] Emmanuel Candes and Michael Wakin, "An introduction to compressive sampling", IEEE Signal Processing Magazine, 25(2), pp. 21 - 30, March 2008
[CrossRef] [Web of Science Times Cited 2738] [SCOPUS Times Cited 3880]


[16] Richard Baraniuk, "Compressive sensing", IEEE Signal Processing Magazine, 24(4), pp. 118-121, July 2007
[CrossRef] [Web of Science Times Cited 1249] [SCOPUS Times Cited 2102]


[17] Justin Romberg, "Imaging via compressive sampling", IEEE Signal Processing Magazine, 25(2), pp. 14 - 20, March 2008
[CrossRef] [Web of Science Times Cited 331] [SCOPUS Times Cited 492]


[18] Vivek K Goyal, Alyson K. Fletcher, and Sundeep Rangan, "Compressive sampling and lossy compression", IEEE Signal Processing Magazine, 25(2), pp. 48-56, March 2008
[CrossRef] [Web of Science Times Cited 90] [SCOPUS Times Cited 141]


[19] David Donoho and Yaakov Tsaig, "Fast solution of ell-1-norm minimization problems when the solution may be sparse", Stanford University Department of Statistics Technical Report 2006-18, 2006

[20] Thong T. Do, Trac D. Tran, and Lu Gan, "Fast compressive sampling with structurally random matrices". (Preprint, 2007)

[21] S. D. Howard, A. R. Calderbank, and S. J. Searle, "A fast reconstruction algorithm for deterministic compressive sensing using second order Reed-Muller codes", Conf. on Info. Sciences and Systems (CISS), Princeton, New Jersey, March 2008

[22] Marco Duarte, "Fast reconstruction from random incoherent projections", Rice ECE Department Technical Report TREE 0507, May 2005

[23] Rauhut, H., Schnass, K., Vandergheynst, P., "Compressed Sensing and Redundant Dictionaries", IEEE Transactions on Information Theory, May 2008, Vol. 54 Issue: 5 pp. 2210-2219
[CrossRef] [Web of Science Times Cited 203] [SCOPUS Times Cited 291]


[24] W. Johnson, J. Lindenstrauss, "Extensions of Lipschitz mappings into a Hilbert space", Contemporary Mathematics, 26:189-206, 1984

[25] Jong Chul Ye, "Compressed sensing shape estimation of star-shaped objects in Fourier imaging", Preprint, 2007

[26] Kush R. Varshney, Mujdat Cetin, John W. Fisher, and Alan S. Willsky, "Sparse representation in structured dictionaries with application to synthetic aperture radar", IEEE Transactions on Signal Processing, 56(8), pp. 3548-3561, August 2008
[CrossRef] [Web of Science Times Cited 74] [SCOPUS Times Cited 115]


[27] Holger Rauhut, Karin Schass, and Pierre Vandergheynst, "Compressed sensing and redundant dictionaries", (Preprint, 2006)

[28] Monica Fira, L. Goras, "Biomedical Signal Compression based on Basis Pursuit", International Journal of Advanced Science and Technology, Science and Engineering Research Support Center (SERSC), Vol. 14, pag. 1-14, January 2010, ISSN: 2005-4238

[29] Liviu Goras, Monica Fira, "Preprocessing Method for Improving ECG Signal Classification and Compression Validation", 4th International Scientific Conference on Physics and Control - PHYSCON 2009, Catania, Italia, Paper ID 262, Procceding IEEE, 1-4 Septembrie 2009

[30] Temporary on-line reference link removed - see the PDF document

[31] A. Al-Shrouf, M. Abo-Zahhad, S. M. Ahmed, "A novel compression algorithm for electrocardiogram signal based on the linear prediction of the wavelet coefficients", Digital Signal Processing, vol. 13, 2003, pp. 604-622.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 54]


[32] Z. Lu, D. Y. Kim, and W. A. Pearlman, "Wavelet Compression of ECG Signals by the Set Partitioning in Hierarchical Trees (SPIHT) Algorithm," IEEE Trans. on Biomed. Eng, Vol. 47, July, 2000, pp. 849-856. [PubMed]

[33] A. Bilgin, M.W. Marcellin, M.I. Altbach, Wavelet compression of ECG signals by JPEG2000, Proceedings Data Compression Conference DDC2004, pp.527, 2004

[34] Kim, H.; Yazicioglu, R. F.; Merken, P.; Van Hoof, C.; Yoo, H.-J., "ECG Signal Compression and Classification Algorithm With Quad Level Vector for ECG Holter System", IEEE Transactions on Information Technology in Biomedicine, Volume 14, Issue 1, Jan. 2010 Page(s):93-100, 2010.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 57]


[35] P. De Chazal, M. O'Dwayer, R. B. Reilly, "Automatic Classification of Heartbeats Using ECG Morphology and Heartbeat Interval Features", IEEE Trans. on Biomed. Eng, Vol. 51, No. 7, July, 2004, pp. 1196- 1206.
[CrossRef] [PubMed] [Web of Science Times Cited 219] [SCOPUS Times Cited 455]


[36] G. Krishna Prasad, J. S. Sahambi, "Classification of ECG Arrhythmias using Multi Resolution Analysis and Neural Networks", Proceedings of Convergent Technologies for the Asia-Pacific Region (Tencon), 2003.

[37] S. Osowski, L. T. Hoai, T. Markiewicz, "Support Vector Machine based expert system for reliable heartbeat recognition", IEEE Trans. on Biomed. Eng, Vol. 51, No. 4, April, 2004, pp. 582- 589.
[CrossRef] [PubMed] [Web of Science Times Cited 142] [SCOPUS Times Cited 194]




References Weight

Web of Science® Citations for all references: 15,716 TCR
SCOPUS® Citations for all references: 19,787 TCR

Web of Science® Average Citations per reference: 414 ACR
SCOPUS® Average Citations per reference: 521 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-11-30 22:02 in 109 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2016
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: