| 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: 2,280 | Views: 7,002 |
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 |
Web of Science® Times Cited: 27 [View]
View record in Web of Science® [View]
View Related Records® [View]
Updated today
SCOPUS® Times Cited: 32
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
Updated today
[1] On ECG reconstruction using weighted‐compressive sensing, Zonoobi, Dornoosh, Kassim, Ashraf A., Healthcare Technology Letters, ISSN 2053-3713, Issue 2, Volume 1, 2014.
Digital Object Identifier: 10.1049/htl.2013.0038 [CrossRef]
[2] 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]
[3] A Study on Dictionary Selection in Compressive Sensing for ECG Signals Compression and Classification, Fira, Monica, Costin, Hariton-Nicolae, Goraș, Liviu, Biosensors, ISSN 2079-6374, Issue 3, Volume 12, 2022.
Digital Object Identifier: 10.3390/bios12030146 [CrossRef]
[4] Automatic screening method for atrial fibrillation based on lossy compression of the electrocardiogram signal, Zhang, Hongpo, Dong, Zhongren, Gao, Junli, Lu, Peng, Wang, Zongmin, Physiological Measurement, ISSN 1361-6579, Issue 7, Volume 41, 2020.
Digital Object Identifier: 10.1088/1361-6579/ab979f [CrossRef]
[5] 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]
[6] TP-CNN: A Detection Method for atrial fibrillation based on transposed projection signals with compressed sensed ECG, Zhang, Hongpo, Dong, Zhongren, Sun, Mengya, Gu, Hongzhuang, Wang, Zongmin, Computer Methods and Programs in Biomedicine, ISSN 0169-2607, Issue , 2021.
Digital Object Identifier: 10.1016/j.cmpb.2021.106358 [CrossRef]
[7] Application of Compressed Sensing Based on Adaptive Dynamic Mode Decomposition in Signal Transmission and Fault Extraction of Bearing Signal, Cai, Zhixin, Dang, Zhang, Wen, Ming, Lv, Yong, Duan, Haochun, Machines, ISSN 2075-1702, Issue 5, Volume 10, 2022.
Digital Object Identifier: 10.3390/machines10050353 [CrossRef]
[8] Compressed Sensing Approach for Physiological Signals: A Review, Lal, Bharat, Gravina, Raffaele, Spagnolo, Fanny, Corsonello, Pasquale, IEEE Sensors Journal, ISSN 1530-437X, Issue 6, Volume 23, 2023.
Digital Object Identifier: 10.1109/JSEN.2023.3243390 [CrossRef]
[9] A New Method for EEG Compressive Sensing, FIRA, M., GORAS, L., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 12, 2012.
Digital Object Identifier: 10.4316/AECE.2012.04011 [CrossRef] [Full text]
[10] An Efficient Method to Learn Overcomplete Multi-Scale Dictionaries of ECG Signals, Luengo, David, Meltzer, David, Trigano, Tom, Applied Sciences, ISSN 2076-3417, Issue 12, Volume 8, 2018.
Digital Object Identifier: 10.3390/app8122569 [CrossRef]
[11] ECG compression retaining the best natural basis k-coefficients via sparse decomposition, Adamo, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Lin, Jianyi, Biomedical Signal Processing and Control, ISSN 1746-8094, Issue , 2015.
Digital Object Identifier: 10.1016/j.bspc.2014.09.002 [CrossRef]
[12] DENOISING AND REMOTE MONITORING OF ECG SIGNAL WITH REAL-TIME EXTENDED KALMAN FILTER IN A WEARABLE SYSTEM, Ozkaraca, Osman, Guler, Inan, Biomedical Engineering: Applications, Basis and Communications, ISSN 1016-2372, Issue 01, Volume 27, 2015.
Digital Object Identifier: 10.4015/S101623721550009X [CrossRef]
[13] Optimization of Discrete Anamorphic Stretch Transform and Phase Recovery for ECG Signal Compression, Thilagavathy, R., Venkataramani, B., IETE Journal of Research, ISSN 0377-2063, Issue 10, Volume 69, 2023.
Digital Object Identifier: 10.1080/03772063.2021.2012281 [CrossRef]
[14] CS-based multi-task learning network for arrhythmia reconstruction and classification using ECG signals, Tang, Suigu, Deng, Zicong, Physiological Measurement, ISSN 0967-3334, Issue 7, Volume 44, 2023.
Digital Object Identifier: 10.1088/1361-6579/acdfb5 [CrossRef]
[15] CSNet: A deep learning approach for ECG compressed sensing, Zhang, Hongpo, Dong, Zhongren, Wang, Zhen, Guo, Lili, Wang, Zongmin, Biomedical Signal Processing and Control, ISSN 1746-8094, Issue , 2021.
Digital Object Identifier: 10.1016/j.bspc.2021.103065 [CrossRef]
[16] Gabor frames for classification of paroxysmal and persistent atrial fibrillation episodes, Ortigosa, Nuria, Galbis, Antonio, Fernández, Carmen, Cano, Óscar, Medical Engineering & Physics, ISSN 1350-4533, Issue , 2017.
Digital Object Identifier: 10.1016/j.medengphy.2016.10.013 [CrossRef]
[17] A novel ECG signal compression using wavelet and discrete anamorphic stretch transforms, R, Thilagavathy, B, Venkataramani, Biomedical Signal Processing and Control, ISSN 1746-8094, Issue , 2022.
Digital Object Identifier: 10.1016/j.bspc.2021.102773 [CrossRef]
[18] A 1V 9pA analog front end with compressed sensing for electrocardiogram monitoring, Kuo, Liang-Ting, Hou, Chun-Chih, Wu, Meng-Hsuan, Shu, Yun-Shiang, 2015 IEEE Asian Solid-State Circuits Conference (A-SSCC), ISBN 978-1-4673-7191-9, 2015.
Digital Object Identifier: 10.1109/ASSCC.2015.7387484 [CrossRef]
[19] JSM-2 based ECG compression with statistical support prediction, Yu, Sucheng, Liu, Bin, Qiao, Wei, Zhang, Chi, Chen, Chang Wen, Cai, Jian, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), ISBN 978-1-4673-5801-9, 2013.
Digital Object Identifier: 10.1109/HealthCom.2013.6720670 [CrossRef]
[20] Robust reconstruction of compressively sensed ECG signals, Cleju, Nicolae, Fira, Monica, Barabasa, Constantin, Goras, Liviu, ISSCS 2011 - International Symposium on Signals, Circuits and Systems, ISBN 978-1-61284-944-7, 2011.
Digital Object Identifier: 10.1109/ISSCS.2011.5978770 [CrossRef]
[21] JSM-2 based joint ECG compressed sensing with partially known support establishment, Wei Qiao, , Bin Liu, , Chang Wen Chen,, 2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom), ISBN 978-1-4577-2040-6, 2012.
Digital Object Identifier: 10.1109/HealthCom.2012.6379455 [CrossRef]
[22] 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]
[23] A Clustering Approach to Construct Multi-scale Overcomplete Dictionaries for ECG Modeling, Meltzer, David, Luengo, David, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 978-1-4799-8131-1, 2019.
Digital Object Identifier: 10.1109/ICASSP.2019.8682758 [CrossRef]
[24] A new method for ECG compression evaluation, Fira, Monica, Goras, Liviu, 2015 International Symposium on Signals, Circuits and Systems (ISSCS), ISBN 978-1-4673-7488-0, 2015.
Digital Object Identifier: 10.1109/ISSCS.2015.7203924 [CrossRef]
[25] On the KNN Classifier, the Type of Distance Used and the Weighting of the Votes, Fira, Monica, Goras, Liviu, 2022 E-Health and Bioengineering Conference (EHB), ISBN 978-1-6654-8557-9, 2022.
Digital Object Identifier: 10.1109/EHB55594.2022.9991398 [CrossRef]
Updated today
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
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.
