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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2012 - 11

 HIGHLY CITED PAPER 

A New Method for EEG Compressive Sensing

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
 
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Download PDF pdficon (622 KB) | Citation | Downloads: 710 | Views: 3,697

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

References keywords
sensing(11), signal(7), information(6), processing(5), systems(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-11-30
Volume 12, Issue 4, Year 2012, On page(s): 71 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.04011
Web of Science Accession Number: 000312128400011
SCOPUS ID: 84872762175

Abstract
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The paper investigates the possibility of using compressive sensing techniques for the acquisition and reconstruction of EEG signals containing the evoked potential P300. A method of EEG compressive sensing based on the physiological correlation of EEG channels is proposed. The reconstruction of 55 EEG channels signals acquired by compressive sensing uses a dictionary consisting of EEG signals from other nine channels with normal acquisition.


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

[1] D. Donoho, "Compressed sensing," IEEE Transactions on Information Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
[CrossRef] [Web of Science Times Cited 16236] [SCOPUS Times Cited 20513]


[2] S.S. Chen , D.L. Donoho , M.A. Saunders , "Atomic Decomposition by Basis Pursuit", SIAM Journal on Scientific Computing, Vol. 43, No. 1, 2005

[3] J. Haupt, R. Nowak, "Signal reconstruction from noisy random projections", IEEE Trans. on Information Theory, 52(9), pp. 4036-4048, September 2006
[CrossRef] [Web of Science Times Cited 356] [SCOPUS Times Cited 430]


[4] E. Candes, M. Wakin, "An introduction to compressive sampling", IEEE Signal Processing Magazine, 25(2), pp. 21 - 30, March 2008
[CrossRef] [Web of Science Times Cited 6076] [SCOPUS Times Cited 7490]


[5] Bernard Fong, A.C.M. Fong, C.K. Li, "Telemedicine Technologies: Information Technologies in Medicine and Telehealth", Wiley, 2010
[CrossRef] [SCOPUS Times Cited 66]


[6] M. Merah, A. Ouamri, A. Nait-Ali, M. Keche, "Fault Tolerant Neural Network for ECG Signal Classification Systems", Advances in Electrical and Computer Engineering, Number 3, pp. 17-24, 2011
[CrossRef] [Full Text] [Web of Science Times Cited 5] [SCOPUS Times Cited 6]


[7] Luisa F. Polania, Rafael E. Carrillo, Manuel Blanco-Velasco and Kenneth E. Barner, "ECG compression via matrix completion", in Proc. European Signal Processing Conference EUSIPCO 2011

[8] Luisa F. Polania, Rafael E. Carrillo, Manuel Blanco-Velasco, Kenneth E. Barner, "Compressed sensing based method for ECG compression", in Proc.IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
[CrossRef] [Web of Science Times Cited 68] [SCOPUS Times Cited 102]


[9] Chunguang Wang, Jinjiang Liu, Jixiang Sun, „Compression algorithm for electrocardiograms based on sparse decomposition", Frontiers of Electrical and Electronic Engineering in China, 4(1): 10-14, 2009
[CrossRef] [SCOPUS Times Cited 14]


[10] Hossein Mamaghanian, Nadia Khaled, David Atienza, Pierre Vandergheynst, "Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes", IEEE Transaction on Biomedical Engineering, Sep;58(9):2456-66, 2011
[CrossRef] [Web of Science Times Cited 460] [SCOPUS Times Cited 530]


[11] Karim Kanoun, Hossein Mamaghanian, Nadia Khaled, David Atienza, „A Real-Time Compressed Sensing-Based Personal Electrocardiogram Monitoring System", in Proc. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2011,

[12] Hong-xin Zhang, Hai-qing Wang, Xiao-ming Li, Ying-hua Lu, Li-kun Zhang, "Implementation of compressive sensing in ECG and EEG signal processing", The Journal of China Universities of Posts and Telecommunications, Vol. 17 (6), pp. 122-126, 2010
[CrossRef] [SCOPUS Times Cited 14]


[13] Desney S. Tan, , Anton Nijholt, Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction, Springer, 2010

[14] Blankertz, B., BCI competition III webpage [Online]: http://www.bbci.de/competition/iii/desc_II.pdf

[15] A. Rakotomamonjy, V. Guigue, "BCI Competition III : Dataset II - Ensemble of SVMs for BCI P300 speller", IEEE Transaction on Biomedical Engineering, Vol. 55, No. 3, pp 1147-1154, 2008.
[CrossRef] [Web of Science Times Cited 300] [SCOPUS Times Cited 369]


[16] Reza Fazel-Rezai, Waqas Ahmad, Recent Advances in Brain-Computer Interface Systems, InTech, 2001

[17] T. Picton, "The P300 Wave of the Human Event-Related Potential", Journal of Clinical Neurophysiology, 9 (4), 456-479, 1992.
[CrossRef] [Web of Science Times Cited 1281] [SCOPUS Times Cited 1353]


[18] Rauhut, H. Schnass, K. Vandergheynst, P, "Compressed Sensing and Redundant Dictionaries", IEEE Transactions on Information Theory, May, Vol. 54, pp .2210-2219, 2008
[CrossRef] [Web of Science Times Cited 323] [SCOPUS Times Cited 435]


[19] M. Fira, L. Goras, C. Barabasa, N. Cleju, „On ECG Compressed Sensing using Specific Overcomplete Dictionaries", Advances in Electrical and Computer Engineering, Volume 10, Issue 4, Year 2010, pp. 23 - 28
[CrossRef] [Full Text] [Web of Science Times Cited 20] [SCOPUS Times Cited 26]


[20] Seda Senay, Luis F. Chaparro, Mingui Sun, Robert J. Sclabassi, "Compressive Sensing and Random Filtering of EEG Signals Using Slepian Basis", in Proc. European Signal Processing Conference, EUSIPCO 2008

[21] A. M. Abdulghani, A. J. Casson, and E. Rodriguez-Villegas, "Quantifying the feasibility of compressive sensing in portable electroencephalography systems," in HCI international, San Diego, July 2009

[22] S. Aviyente, "Compressed sensing framework for EEG compression," in Proc. IEEE/SP SSP, Madison, August 2007.
[CrossRef] [Web of Science Times Cited 100] [SCOPUS Times Cited 129]


[23] M. Fira, "Detection of P300 in a BCI Speller", Communications in Computer and Information Science, Convergence and Hybrid Information Technology (ICHIT 2011), Volume 206 / 2011, Part 7, pag. 481-487, Springer-Verlag Berlin Heidelberg 2011,

[24] G. Antoniol, P. Tonella, "EEG data compression techniques", IEEE Transaction on Biomedical Engineering, 44:105-114, 1997
[CrossRef] [Web of Science Times Cited 115] [SCOPUS Times Cited 139]


[25] Y. Wongsawat, S. Oraintara, T. Tanaka, K.R. Rao, "Lossless multi-channel EEG compression", in: Proc. of the IEEE international symposium on circuits and systems, Kos, IEEE, Piscataway, pp 1611-1614, 2006
[CrossRef] [Web of Science Times Cited 31]


[26] Amir M. Abdulghani, Alexander J. Casson, Esther Rodriguez-Villegas, "Compressive sensing scalp EEG signals: implementations and practical performance", Medical & Biological Engineering & Computing , September 2011



References Weight

Web of Science® Citations for all references: 25,371 TCR
SCOPUS® Citations for all references: 31,616 TCR

Web of Science® Average Citations per reference: 940 ACR
SCOPUS® Average Citations per reference: 1,171 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 2021-11-16 03:06 in 110 seconds.




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