| 4/2012 - 11 |
A New Method for EEG Compressive SensingFIRA, M.   , GORAS, L. |
View the paper record and citations in  |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (622 KB) | Citation | Downloads: 1,012 | Views: 4,420 |
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
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 18997] [SCOPUS Times Cited 24077] [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 383] [SCOPUS Times Cited 471] [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 7018] [SCOPUS Times Cited 8644] [5] Bernard Fong, A.C.M. Fong, C.K. Li, "Telemedicine Technologies: Information Technologies in Medicine and Telehealth", Wiley, 2010 [CrossRef] [SCOPUS Times Cited 78] [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 89] [SCOPUS Times Cited 126] [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 19] [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 518] [SCOPUS Times Cited 607] [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 17] [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 344] [SCOPUS Times Cited 424] [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 1429] [SCOPUS Times Cited 1531] [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 352] [SCOPUS Times Cited 471] [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 27] [SCOPUS Times Cited 32] [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 114] [SCOPUS Times Cited 144] [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 124] [SCOPUS Times Cited 154] [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 33] [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 Web of Science® Citations for all references: 29,433 TCR SCOPUS® Citations for all references: 36,801 TCR Web of Science® Average Citations per reference: 1,090 ACR SCOPUS® Average Citations per reference: 1,363 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 2024-04-17 21:05 in 123 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.
