Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 75 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

2,485,580 unique visits
989,841 downloads
Since November 1, 2009



Robots online now
SemanticScholar
bingbot
Googlebot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

AbstractPlus






LATEST NEWS

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

Read More »


    
 

  3/2020 - 6

Effective Wavelet Algorithm for an Automatic Detection of Atrial Fibrillation

ARVINTI, B. See more information about ARVINTI, B. on SCOPUS See more information about ARVINTI, B. on IEEExplore See more information about ARVINTI, B. on Web of Science, ISAR, A. See more information about  ISAR, A. on SCOPUS See more information about  ISAR, A. on SCOPUS See more information about ISAR, A. on Web of Science, COSTACHE, M. See more information about COSTACHE, M. on SCOPUS See more information about COSTACHE, M. on SCOPUS See more information about COSTACHE, M. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,545 KB) | Citation | Downloads: 723 | Views: 1,645

Author keywords
adaptive algorithms, biomedical signal processing, performance evaluation, threshold, wavelet

References keywords
fibrillation(13), atrial(13), wavelet(7), cardiology(6), wavelets(4), transform(4), signals(4), optim(4), heart(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-08-31
Volume 20, Issue 3, Year 2020, On page(s): 49 - 56
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.03006
Web of Science Accession Number: 000564453800006
SCOPUS ID: 85090361684

Abstract
Quick view
Full text preview
Cardiac anomalies are usually marked through irregular cardiac cycles. Atrial fibrillation is given through a rapid beating of the atria, announcing a possible heart failure or stroke. Electrocardiograms are an efficient way of supervising the electric activity of the heart. We have developed an effective, simple to implement automatic detection algorithm for identifying changes of the cardiac rhythm. The algorithm is based on wavelets and an enhanced time domain thresholding procedure. We take into account a variation of the electrocardiograms amplitudes, to avoid loss of clinical features. The interval between beats is computed and provided for a reliable diagnosis. The results are validated both with objective evaluation criteria and displayed graphically, assisting the medical diagnosis procedure.


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

[1] Kannathal N, Rajendra Acharya U, Joseph P, Lim Choo Min, Suri J.S, "Analysis of Electrocardiograms", Springer, Berlin Heidelberg, 2010.
[CrossRef]


[2] A. Dupre, S. Vincent, P. A. Iaizzo, "Basic ECG Theory, Recordings and Interpretation", In: Iaizzo P.A. (eds) Handbook of Cardiac Anatomy, Physiology, and Devices, Humana Press, pp. 191-201, 2005,
[CrossRef]


[3] J.N. Watson, P.S. Addison, N. Grubb, G.R. Clegg , C.E. Robertson, K.A.A. Fox, "Wavelet-Based Filtering for The Clinical Evaluation Of Atrial Fibrillation", 23rd Annual International Conference Of The IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey, 2001,
[CrossRef]


[4] Konstantinos C. Siontis, Jeffrey B. Geske, Bernard J. Gersh, "Atrial Fibrillation Pathophysiology and Prognosis. Insights From Cardiovascular Imaging", Circ Cardiovasc Imaging, vol.8, No.6, 2015,
[CrossRef] [Web of Science Times Cited 11]


[5] Raul Alcaraz, Jose Joaquin Rieta, "Central Tendency Measure and Wavelet Transform Combined in the Non-Invasive Analysis of Atrial Fibrillation Recordings", Biomedical Engineering Online, 11:46, 2012,
[CrossRef] [Web of Science Times Cited 9]


[6] Munger TM, Wu LQ, Shen WK, "Atrial fibrillation", Journal of Biomedical Research, vol. 28 (1), pp.1-17, Jan. 2014,
[CrossRef] [Web of Science Times Cited 51]


[7] Alma Secerbegovic, Asmir Gogic, Nermin Suljanovic, Matej Zajc, Aljo Mujcic, "Computational Balancing Between Wearable Sensor And Smartphone Towards Energy-Efficient Remote Healthcare Monitoring", Advances in Electrical and Computer Engineering, vol. 18, number 4, pp. 3-10, 2018,
[CrossRef] [Full Text] [Web of Science Times Cited 5]


[8] Duverney D, Gaspoz J-M, Pichot V, Roche F, Brion R, Antoniadis A, Barthelemy J-C, "High Accuracy Of Automatic Detection Of Atrial Fibrillation Using Wavelet Transform Of Heart Rate Intervals", Journal of Pacing and Clinical Electrophysiology, Vol 25 (4), Part 1, April 2002,
[CrossRef] [Web of Science Times Cited 44]


[9] Dwight F. Mix, Kraig J. Olejniczak, "Elements of Wavelets for Engineers and Scientists", John Wiley & Sons, Inc., Hoboken, New Jersey, 2003,
[CrossRef]


[10] Alan S. Said Ahmad, Majd S. Matti, Omar A.M. ALhabib, Sabri Shaikhow, "Denoising of Arrhythmia ECG Signals", International Journal of Medical Research & Health Sciences, vol. 7(3), pp. 83-93, 2018, ISSN No: 2319-5886, WOS:000429485200011

[11] D. Arotaritei, H. Costin, A. Pasarica, C. Rotariu, "A Proposal For Cardiac Arrhythmia Classification Using Complexity Measures", Advances in Electrical and Computer Engineering, vol 17, nr 3, pp. 29-34, 2017,
[CrossRef] [Full Text] [Web of Science Times Cited 4]


[12] Miguel Martinez-Iniesta, Juan Ródenas, Jose J. Rieta, Raúl Alcaraz, "Application of Joint Notch Filtering and Wavelet Transform for Enhanced Powerline Interference Removal in Atrial Fibrillation Electrograms", Computing in Cardiology 2018; vol 45, ISSN: 2325-887X,
[CrossRef] [Web of Science Times Cited 1]


[13] E. Castillo, D. P. Morales, A. Garcia, F. Martinez-Marti, L. Parrilla, and A. J. Palma, "Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques", Journal Of Applied Mathematics, Volume 2013, Article Id 763903, 2013,
[CrossRef] [Web of Science Times Cited 30]


[14] R. Dubois, P. Roussel, M. Hocini, F. Sacher, M. Haissaguerre, G. Dreyfus, "A Wavelet Transform for Atrial Fibrillation Cycle Length Measurements", Computers in Cardiology Conference, vol.36, ISSN 0276−6574, pp. 501-504, 2009

[15] B. Arvinti, M. Costache, D. Toader, A. Isar, "Electrocardiogram Baseline Wander Removal Using Stationary Wavelet Approximations", 12th International Conference Optimization of Electrical and Electronic Equipment OPTIM 2010, Brasov, Romania, 2010, pp. 890-895,
[CrossRef] [Web of Science Times Cited 12]


[16] A. Graps (1995), "An Introduction to Wavelets", IEEE Computational Science and Engineering, 2: 50-61, published 12 March 2013,
[CrossRef] [Web of Science Times Cited 850]


[17] D. L. Donoho, "De-Noising by Soft-Thresholding" IEEE Transactions On Information Theory, Vol. 41, No. 3, 1995, pp. 613-627,
[CrossRef] [Web of Science Times Cited 6398]


[18] Somesh Morya, Sudhir Agrawal, Shivangini Morya, "Denoising of ECG Signal using Soft Thresholding and Empirical Mode Decomposition", International Journal on Recent and Innovation Trends in Computing and Communication, Volume: 5 Issue: 4, 2017, pp. 131 - 137, ISSN: 2321-8169,
[CrossRef]


[19] Ahsan A. Khan, Gregory Y. H. Lip, Alena Shantsila, "Heart rate variability in atrial fibrillation: The balance between sympathetic and parasympathetic nervous system", Eur J Clin Invest. 2019;49:e13174,
[CrossRef] [Web of Science Times Cited 80]


[20] C. Rotariu, H. Costin, "Wireless Monitoring System for Patients Having Cardiac Pacemakers with Atrial Fibrillation Detectors", Environmental Engineering and Management Journal (EEMJ), Vol. 12, No. 6, 2013, pp. 1215-1221, print ISSN: 1582-9596, eISSN: 1843-3707,
[CrossRef] [Web of Science Times Cited 3]


[21] H. Costin, C. Rotariu, A. Pasarica, "Atrial Fibrillation Onset Prediction using Variability of ECG Signals", Proc. of the 8th Int. Symp. on Advanced Topics in Electrical Engineering (ATEE), Univ. POLITEHNICA of Bucharest, May 23-25, 2013, section EMB3, ISBN: 978-1-4673-5978-8,
[CrossRef] [Web of Science Times Cited 15]


[22] Marcus Vollmer, "Robust, Simple And Reliable Measure Of Heart Rate Variability Using Relative RR Intervals", Computing in Cardiology Conference, France, 2015,
[CrossRef]


[23] Moody GB, "Spontaneous Termination of Atrial Fibrillation: A Challenge from PhysioNet and Computers in Cardiology 2004", Computers in Cardiology, vol. 31, pp. 101−104, 2004,
[CrossRef]


[24] Moody GB, Mark RG, Goldberger AL, "PhysioNet: A research resource for studies of complex physiologic and biomedical signals", Computers in Cardiology 2000, pp. 179-182, 2000,
[CrossRef] [Web of Science Times Cited 43]


[25] B. Arvinti, A. Isar, D. Toader, M. Costache, "Optimization of an Electrocardiogram Compression Technique Based on Wavelets", 13th Optimization of Electrical and Electronic Equipment OPTIM 2012, Romania, pp. 1140-1145, 2012,
[CrossRef]


[26] B. Arvinti, M. Costache, "The Performance of the Daubechies Mother Wavelets on ECG Compression", 11th IEEE International Symposium on Electronics and Telecommunications (ISETC), Proceedings of the ISETC 2014, Timisoara, Romania, ISBN 978-1-4799-7265-4, 2014,
[CrossRef]


[27] Salim Graja, Jean Marc Boucher, "SVM Classification of patients prone to atrial fibrillation", IEEE International Workshop On Intelligent Signal Processing (Wisp), Faro, Portugal, 2005, pp. 370-374,
[CrossRef]


[28] Trong Tuyen Nguyen, Trong Huu Tran, Mau Thach Nguyen, Z.M. Yuldashev, "Heart Rhythm Intelligent Monitoring Algorithm for the Atrial Fibrillation Episodes Detection in the Telemedicine System", 13th International Symposium "Intelligent Systems" (INTELS'18), Procedia Computer Science 150 (2019), pp. 352-360,
[CrossRef] [Web of Science Times Cited 3]


[29] Tijn Hendrikx, Mårten Rosenqvist, Per Wester, Herbert Sandström and Rolf Hörnsten, "Intermittent short ECG recording is more effective than 24-hour Holter ECG in detection of arrhythmias", BMC Cardiovascular Disorders 2014, 14:41, April 2014,
[CrossRef] [Web of Science Times Cited 54]




References Weight

Web of Science® Citations for all references: 7,613 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 254 ACR
SCOPUS® Average Citations per reference: 0

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 2024-03-12 23:40 in 153 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.




Website loading speed and performance optimization powered by: 


DNS Made Easy