| 4/2010 - 4 |
On ECG Compressed Sensing using Specific Overcomplete DictionariesFIRA, M.   , GORAS, L. , BARABASA, C. , CLEJU, N. |
View the paper record and citations in  |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (1,859 KB) | Citation | Downloads: 2,282 | Views: 7,013 |
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
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 94] [SCOPUS Times Cited 108] [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 278] [SCOPUS Times Cited 357] [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] [SCOPUS Times Cited 1] [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 15] [SCOPUS Times Cited 22] [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 286] [SCOPUS Times Cited 351] [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 104] [SCOPUS Times Cited 125] [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 90] [SCOPUS Times Cited 126] [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 3955] [SCOPUS Times Cited 5322] [13] David Donoho, "Compressed sensing", IEEE Trans. on Information Theory, 52(4), pp. 1289-1306, April 2006 [CrossRef] [Web of Science Times Cited 19011] [SCOPUS Times Cited 24128] [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 7017] [SCOPUS Times Cited 8660] [16] Richard Baraniuk, "Compressive sensing", IEEE Signal Processing Magazine, 24(4), pp. 118-121, July 2007 [CrossRef] [Web of Science Times Cited 1820] [SCOPUS Times Cited 4343] [17] Justin Romberg, "Imaging via compressive sampling", IEEE Signal Processing Magazine, 25(2), pp. 14 - 20, March 2008 [CrossRef] [Web of Science Times Cited 687] [SCOPUS Times Cited 872] [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 172] [SCOPUS Times Cited 224] [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 352] [SCOPUS Times Cited 472] [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 129] [SCOPUS Times Cited 170] [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 66] [SCOPUS Times Cited 84] [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 96] [SCOPUS Times Cited 132] [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 973] [SCOPUS Times Cited 1278] [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 336] [SCOPUS Times Cited 437] Web of Science® Citations for all references: 35,481 TCR SCOPUS® Citations for all references: 47,212 TCR Web of Science® Average Citations per reference: 934 ACR SCOPUS® Average Citations per reference: 1,242 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 2024-04-24 19:26 in 109 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. 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 ©2001-2024
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.
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.
