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A New Method for EEG Compressive SensingFIRA, M.   , GORAS, L. |
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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. |
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[1] Development of a Medical Care Terminal for Efficient Monitoring of Bedridden Subjects, Pereira, Filipe, Carvalho, Vítor, Soares, Filomena, Machado, José, Bezerra, Karolina, Silva, Rui, Matos, Demétrio, Journal of Engineering, ISSN 2314-4904, Issue , 2016.
Digital Object Identifier: 10.1155/2016/3591059 [CrossRef]
[2] Prediction and Detection of Ventricular Fibrillation Using Complex Features and AI-Based Classification, Fira, Monica, Costin, Hariton-Nicolae, Goras, Liviu, Applied Sciences, ISSN 2076-3417, Issue 7, Volume 14, 2024.
Digital Object Identifier: 10.3390/app14073050 [CrossRef]
[3] Combined Sparsifying Transforms for Compressive Image Fusion, WU, C., WANG, H., XU, X., ZHAO, L., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.04014 [CrossRef] [Full text]
[4] Research into a novel surface acoustic wave sensor signal-processing system based on compressive sensing and an observed-signal augmentation method based on secondary information prediction, Han, Wei, Bu, Xiongzhu, Song, Meiqiu, Huang, Xinhao, Measurement Science and Technology, ISSN 0957-0233, Issue 7, Volume 32, 2021.
Digital Object Identifier: 10.1088/1361-6501/abe3ab [CrossRef]
[5] Multi-Channel Transcranial Direct Current Stimulation (tDCS) utilizing A.I. and IoT Technologies for Remote Tele-Treatment, Shum, Anthony, Li, C. K., Lak, Davis, 2020 IEEE 2nd International Workshop on System Biology and Biomedical Systems (SBBS), ISBN 978-1-6654-0460-0, 2020.
Digital Object Identifier: 10.1109/SBBS50483.2020.9314934 [CrossRef]
[6] Reconstruction of compressed sensed ECG signals using patient specific dictionaries, Fira, Monica, Goras, Liviu, Barabasa, Constantin, International Symposium on Signals, Circuits and Systems ISSCS2013, ISBN 978-1-4673-6143-9, 2013.
Digital Object Identifier: 10.1109/ISSCS.2013.6651246 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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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.
