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Automated Atrial Fibrillation Detection by ECG Signal Processing: A Review

dc.contributor.authorGiraldo-Guzmán, Jader
dc.contributor.authorContreras-Ortiz, Sonia H.
dc.contributor.authorKotas, Marian
dc.contributor.authorCastells, Francisco
dc.contributor.authorMoroń, Tomasz
dc.date.accessioned2023-07-21T15:53:02Z
dc.date.available2023-07-21T15:53:02Z
dc.date.issued2021
dc.date.submitted2023
dc.identifier.citationGiraldo-Guzman, J., Contreras-Ortiz, S. H., Kotas, M., Castells, F., & Moron, T. (2021). Automated Atrial Fibrillation Detection by ECG Signal Processing: A Review. Critical Reviews™ in Biomedical Engineering, 49(3).spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12297
dc.description.abstractCardiovascular diseases are the main cause of death in the world, according to the World Health Organization. Among them, ischemic heart disease is at the top, followed by a stroke. Several studies have revealed that atrial fibrillation (AF), which is the most common cardiac arrhythmia, increases up to five fold the overall risk of stroke. As AF can be asymptomatic, approximately 20% of the AF cases remain undiagnosed. AF can be detected by analyzing electrocardiography records. Many studies have been conducted to develop automatic methods for AF detection. This paper reviews some of the most relevant methods, classified into three groups: analysis of heart rate variability, analysis of the atrial activity, and hybrid methods. Their benefits and limitations are analyzed and compared, and our beliefs about where AF automatic detection research could be addressed are presented to improve its effectiveness and performance. © 2021 by Begell House, Inc.spa
dc.format.extent20 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceBiomedical Engineering, 49(3)spa
dc.titleAutomated Atrial Fibrillation Detection by ECG Signal Processing: A Reviewspa
dcterms.bibliographicCitation(2006) Working together for health: The world health report 2006: Policy briefs. Cited 969 times. Geneva: World Health Orgspa
dcterms.bibliographicCitationGomez, LA. Las enfermedades cardiovasculares: Un problema de salud pública y un reto global (2011) Biomedica, 31 (4). Cited 5 times.spa
dcterms.bibliographicCitationScott, L., Li, N., Dobrev, D. Role of inflammatory signaling in atrial fibrillation (2019) International Journal of Cardiology, 287, pp. 195-200. Cited 82 times. www.elsevier.com/locate/ijcard doi: 10.1016/j.ijcard.2018.10.020spa
dcterms.bibliographicCitationWolf, P.A., Abbott, R.D., Kannel, W.B. Atrial fibrillation as an independent risk factor for stroke: The framingham study (1991) Stroke, 22 (8), pp. 983-988. Cited 5873 times. doi: 10.1161/01.STR.22.8.983spa
dcterms.bibliographicCitation(2017) Cardiovascular diseases. Cited 364 times. Geneva: World Health Org; From http://www.who.int/mediacentre/fact-sheets/fs317/en/spa
dcterms.bibliographicCitationClua-Espuny, J.L., Lechuga-Duran, I., Bosch-Princep, R., Roso-Llorach, A., Panisello-Tafalla, A., Lucas-Noll, J., López-Pablo, C., (...), Gallofré López, M. Prevalence of undiagnosed atrial fibrillation and of that not being treated with anticoagulant drugs: The AFABE study (2013) Revista Espanola de Cardiologia, 66 (7), pp. 545-552. Cited 56 times. doi: 10.1016/j.recesp.2013.03.006spa
dcterms.bibliographicCitationCervigón, R., Moreno, J., Castells, F. Entropy analysis of atrial activity morphology to study atrial fibrillation recurrences after ablation procedure (2015) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9043, pp. 146-154. Cited 5 times. https://www.springer.com/series/558 ISBN: 978-331916482-3 doi: 10.1007/978-3-319-16483-0_14spa
dcterms.bibliographicCitationCervigon, R., Moreno, J., Millet, J., Castells, F. Multiscale principal component analysis to predict atrial fibrillation reversion to sinus rhythm (2016) Computing in Cardiology, 43, art. no. 7868780, pp. 465-468. Cited 2 times. http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000157 ISBN: 978-150900896-4spa
dcterms.bibliographicCitationCervigon, R., Moreno, J., Millet, J., Castells, F. Singular Spectrum Analysis of Atrial Activations to Predict Atrial Fibrillation Recurrence after Ablation Procedure (2018) Computing in Cardiology, 2018-September, art. no. 8743856. http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000157 ISBN: 978-172810958-9 doi: 10.22489/CinC.2018.360spa
dcterms.bibliographicCitationReiffel, J.A., Verma, A., Kowey, P.R., Halperin, J.L., Gersh, B.J., Wachter, R., Pouliot, E., (...), Ziegler, P.D. Incidence of previously undiagnosed atrial fibrillation using insertable cardiac monitors in a high-risk population: The REVEAL AF study (2017) JAMA Cardiology, 2 (10), pp. 1120-1127. Cited 171 times. https://jamanetwork.com/journals/jamacardiology/articlepdf/2650790/jamacardiology_reiffel_2017_oi_170047.pdf doi: 10.1001/jamacardio.2017.3180spa
dcterms.bibliographicCitationCotter, P.E., Martin, M.P.J., Ring, L., Warburton, E.A., Belham, M., Pugh, P.J. Incidence of atrial fibrillation detected by implantable loop recorders in unexplained stroke (2013) Neurology, 80 (17), pp. 1546-1550. Cited 203 times. doi: 10.1212/WNL.0b013e31828f1828spa
dcterms.bibliographicCitationMarsili, I.A., Masè, M., Pisetta, V., Ricciardi, E., Andrighetti, A.O., Ravelli, F., Nollo, G. Optimized algorithms for atrial fibrillation detection by wearable tele-holter devices (2016) IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings, art. no. 7580863. Cited 9 times. ISBN: 978-150901845-1 doi: 10.1109/ISC2.2016.7580863spa
dcterms.bibliographicCitationKinlay, S., Leitch, J.W., Neil, A., Chapman, B.L., Hardy, D.B., Fletcher, P.J. Cardiac event recorders yield more diagnoses and are more cost-effective than 48-hour Holter monitoring in patients with palpitations: A controlled clinical trial (1996) Annals of Internal Medicine, 124 (1 I), pp. 16-20. Cited 204 times. http://annals.org/issues.aspx doi: 10.7326/0003-4819-124-1_part_1-199601010-00003spa
dcterms.bibliographicCitationSchwartzman, D., Blagev, D.P., Brown, M.L., Mehra, R. Electrocardiographic events preceding onset of atrial fibrillation: Insights gained using an implantable loop recorder (2006) Journal of Cardiovascular Electrophysiology, 17 (3), pp. 243-246. Cited 12 times. doi: 10.1111/j.1540-8167.2005.00342.xspa
dcterms.bibliographicCitationBarr, CS. (2013) Comparison of accuracy and diagnostic valid ity of a novel non-invasive electrocardiographic monitoring device with a standard 12-lead ECG recording device. Cited 2 times.spa
dcterms.bibliographicCitationSamol, A., Bischoff, K., Luani, B., Pascut, D., Wiemer, M., Kaese, S. Recording of bipolar multichannel ECGs by a smartwatch: Modern ECG diagnostic 100 years after Einthoven (Open Access) (2019) Sensors (Switzerland), 19 (13), art. no. 2894. Cited 26 times. https://www.mdpi.com/1424-8220/19/13/2894/pdf doi: 10.3390/s19132894spa
dcterms.bibliographicCitationBumgarner, J.M., Lambert, C.T., Hussein, A.A., Cantillon, D.J., Baranowski, B., Wolski, K., Lindsay, B.D., (...), Tarakji, K.G. Smartwatch Algorithm for Automated Detection of Atrial Fibrillation (2018) Journal of the American College of Cardiology, 71 (21), pp. 2381-2388. Cited 262 times. www.elsevier.com/locate/jacc doi: 10.1016/j.jacc.2018.03.003spa
dcterms.bibliographicCitationLogan, B., Healey, J. Robust detection of atrial fibrillation for a long term telemonitoring system (2005) Computers in Cardiology, 32, art. no. 1588177, pp. 619-622. Cited 78 times. ISBN: 0780393376; 978-078039337-0 doi: 10.1109/CIC.2005.1588177spa
dcterms.bibliographicCitationKirchner, J., Schild, S., Fischer, G. Detection of paroxysmal atrial fibrillation: A computationally efficient algorithm for use in a wearable telemedical system (Open Access) (2017) 2017 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2017 - Proceedings, art. no. 7985896, pp. 320-325. Cited 2 times. ISBN: 978-150902983-9 doi: 10.1109/MeMeA.2017.7985896spa
dcterms.bibliographicCitationDash, S., Chon, K.H., Lu, S., Raeder, E.A. Automatic real time detection of atrial fibrillation (2009) Annals of Biomedical Engineering, 37 (9), pp. 1701-1709. Cited 254 times. doi: 10.1007/s10439-009-9740-zspa
dcterms.bibliographicCitationKalsi, M., Prakash, N.R. A new algorithm for detection of Atrial Fibrillation (2016) International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016, art. no. 7755288, pp. 3177-3182. Cited 7 times. ISBN: 978-146739939-5 doi: 10.1109/ICEEOT.2016.7755288spa
dcterms.bibliographicCitationKikillus, N., Hammer, G., Lentz, N., Stockwald, F., Bolz, A. Three different algorithms for identifying patients suffering from atrial fibrillation during atrial fibrillation free phases of the ECG (2007) Computers in Cardiology, 34, art. no. 4745607, pp. 801-804. Cited 22 times. ISBN: 978-142442533-4 doi: 10.1109/CIC.2007.4745607spa
dcterms.bibliographicCitationGhodrati, A., Murray, B., Marinello, S. RR interval analysis for detection of Atrial Fibrillation in ECG monitors (2008) Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", art. no. 4649224, pp. 601-604. Cited 35 times. ISBN: 978-142441815-2 doi: 10.1109/iembs.2008.4649224spa
dcterms.bibliographicCitationJiménez-Serrano, S., Yagüe-Mayans, J., Simarro-Mondéjar, E., Calvo, C.J., Castells, F., Millet, J. Atrial fibrillation detection using feedforward neural networks and automatically extracted signal features (2017) Computing in Cardiology, 44, pp. 1-4. Cited 20 times. http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000157 doi: 10.22489/CinC.2017.341-131spa
dcterms.bibliographicCitationIslam, S., Ammour, N., Alajlan, N. Atrial fibrillation detection with multiparametric RR interval feature and machine learning technique (Open Access) (2017) 2017 International Conference on Informatics, Health and Technology, ICIHT 2017, art. no. 7899003. Cited 10 times. ISBN: 978-146738765-1 doi: 10.1109/ICIHT.2017.7899003spa
dcterms.bibliographicCitationGutiérrez-Rivas, R., García, J.J., Marnane, W.P., Hernández, Á. Novel Real-Time Low-Complexity QRS Complex Detector Based on Adaptive Thresholding (Open Access) (2015) IEEE Sensors Journal, 15 (10), art. no. 7138573, pp. 6036-6043. Cited 100 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361 doi: 10.1109/JSEN.2015.2450773spa
dcterms.bibliographicCitationYao, Z., Zhu, Z., Chen, Y. Atrial fibrillation detection by multi-scale convolutional neural networks (2017) 20th International Conference on Information Fusion, Fusion 2017 - Proceedings, art. no. 8009782. Cited 41 times. ISBN: 978-099645270-0 doi: 10.23919/ICIF.2017.8009782spa
dcterms.bibliographicCitationNuryani, N., Harjito, B., Yahya, I., Lestari, A. Atrial fibrillation detection using support vector machine (Open Access) (2015) Proceedings - Joint International Conference on Electric Vehicular Technology and Industrial, Mechanical, Electrical and Chemical Engineering, ICEVT 2015 and IMECE 2015, art. no. 7496672, pp. 215-218. Cited 9 times. ISBN: 978-146738504-6 doi: 10.1109/ICEVTIMECE.2015.7496672spa
dcterms.bibliographicCitationHernandez, F., Mendez, D., Amado, L., Altuve, M. Atrial Fibrillation Detection in Short Single Lead ECG Recordings Using Wavelet Transform and Artificial Neural Networks (2018) Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2018, pp. 5982-5985. Cited 13 times. doi: 10.1109/EMBC.2018.8513562spa
dcterms.bibliographicCitationXia, Y., Wulan, N., Wang, K., Zhang, H. Atrial fibrillation detection using stationary wavelet transform and deep learning (2017) Computing in Cardiology, 44, pp. 1-4. Cited 15 times. http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000157 doi: 10.22489/CinC.2017.210-084spa
dcterms.bibliographicCitationShen, M., Zhang, L., Luo, X., Xu, J. Atrial fibrillation detection algorithm based on manual extraction features and automatic extraction features (2020) IOP Conference Series: Earth and Environmental Science, 428 (1), art. no. 012050. Cited 11 times. https://iopscience.iop.org/journal/1755-1315 doi: 10.1088/1755-1315/428/1/012050spa
dcterms.bibliographicCitationAndersen, R.S., Peimankar, A., Puthusserypady, S. A deep learning approach for real-time detection of atrial fibrillation (Open Access) (2019) Expert Systems with Applications, 115, pp. 465-473. Cited 227 times. doi: 10.1016/j.eswa.2018.08.011spa
dcterms.bibliographicCitationBashar, S.K., DIng, E., Albuquerque, D., Winter, M., Binici, S., Walkey, A.J., McManus, D.D., (...), Chon, K.H. Atrial Fibrillation Detection in ICU Patients: A Pilot Study on MIMIC III Data∗ (Open Access) (2019) Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, art. no. 8856496, pp. 298-301. Cited 10 times. ISBN: 978-153861311-5 doi: 10.1109/EMBC.2019.8856496spa
dcterms.bibliographicCitationMabrouki, R., Khaddoumi, B., Sayadi, M. Atrial Fibrillation detection on electrocardiogram (Open Access) (2016) 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016, art. no. 7523112, pp. 268-272. Cited 5 times. ISBN: 978-146738526-8 doi: 10.1109/ATSIP.2016.7523112spa
dcterms.bibliographicCitationZhou, X., Ding, H., Wu, W., Zhang, Y. A real-time Atrial fibrillation detection algorithm based on the instantaneous state of heart rate (2015) PLoS ONE, 10 (9), art. no. 0136544. Cited 62 times. http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0136544&representation=PDF doi: 10.1371/journal.pone.0136544spa
dcterms.bibliographicCitationIslam, M.S., Ammour, N., Alajlan, N., Aboalsamh, H. Rhythm-based heartbeat duration normalization for atrial fibrillation detection (2016) Computers in Biology and Medicine, 72, pp. 160-169. Cited 27 times. www.elsevier.com/locate/compbiomed doi: 10.1016/j.compbiomed.2016.03.015spa
dcterms.bibliographicCitationLee, J., McManus, D., Chon, K. Atrial Fibrillation detection using time-varying coherence function and Shannon Entropy (2011) Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, art. no. 6091160, pp. 4685-4688. Cited 19 times. ISBN: 978-142444121-1 doi: 10.1109/IEMBS.2011.6091160spa
dcterms.bibliographicCitationMohebbi, M., Ghassemian, H. Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal (Open Access) (2012) Computer Methods and Programs in Biomedicine, 105 (1), pp. 40-49. Cited 93 times. doi: 10.1016/j.cmpb.2010.07.011spa
dcterms.bibliographicCitationHuang, C., Ye, S., Chen, H., Li, D., He, F., Tu, Y. A novel method for detection of the transition between atrial fibrillation and sinus rhythm (Open Access) (2011) IEEE Transactions on Biomedical Engineering, 58 (4), art. no. 5657251, pp. 1113-1119. Cited 142 times. doi: 10.1109/TBME.2010.2096506spa
dcterms.bibliographicCitationYaghouby, F., Ayatollahi, A., Bahramali, R., Yaghouby, M., Alavi, A.H. Towards automatic detection of atrial fibrillation: A hybrid computational approach (2010) Computers in Biology and Medicine, 40 (11-12), pp. 919-930. Cited 45 times. doi: 10.1016/j.compbiomed.2010.10.004spa
dcterms.bibliographicCitationPiskorski, J., Guzik, P. Geometry of the Poincaré plot of RR intervals and its asymmetry in healthy adults (2007) Physiological Measurement, 28 (3), art. no. 005, pp. 287-300. Cited 218 times. https://iopscience.iop.org/journal/0967-3334 doi: 10.1088/0967-3334/28/3/005spa
dcterms.bibliographicCitationPark, J., Lee, S., Jeon, M. Atrial fibrillation detection by heart rate variability in Poincare plot (Open Access) (2009) BioMedical Engineering Online, 8, art. no. 38. Cited 137 times. http://www.biomedical-engineering-online.com/content/8/1/38 doi: 10.1186/1475-925X-8-38spa
dcterms.bibliographicCitationLian, J., Wang, L., Muessig, D. A simple method to detect atrial fibrillation using RR intervals (Open Access) (2011) American Journal of Cardiology, 107 (10), pp. 1494-1497. Cited 114 times. doi: 10.1016/j.amjcard.2011.01.028spa
dcterms.bibliographicCitationSarkar, S., Ritscher, D., Mehra, R. A detector for a chronic implantable atrial tachyarrhythmia monitor (2008) IEEE Transactions on Biomedical Engineering, 55 (3), pp. 1219-1224. Cited 174 times. doi: 10.1109/TBME.2007.903707spa
dcterms.bibliographicCitationCouceiro, R., Carvalho, P., Henriques, J., Antunes, M., Harris, M., Habetha, J. Detection of Atrial Fibrillation using model-based ECG analysis (Open Access) (2008) Proceedings - International Conference on Pattern Recognition, art. no. 4761755. Cited 85 times. http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000545 ISBN: 978-142442175-6 doi: 10.1109/icpr.2008.4761755spa
dcterms.bibliographicCitationBabaeizadeh, S., Gregg, R.E., Helfenbein, E.D., Lindauer, J.M., Zhou, S.H. Improvements in atrial fibrillation detection for real-time monitoring (2009) Journal of Electrocardiology, 42 (6), pp. 522-526. Cited 138 times. doi: 10.1016/j.jelectrocard.2009.06.006spa
dcterms.bibliographicCitationFaust, O., Ciaccio, E.J., Acharya, U.R. A review of atrial fibrillation detection methods as a service (2020) International Journal of Environmental Research and Public Health, 17 (9), art. no. 3093. Cited 25 times. https://www.mdpi.com/1660-4601/17/9/3093/pdf doi: 10.3390/ijerph17093093spa
dcterms.bibliographicCitationMei, Z., Gu, X., Chen, H., Chen, W. Automatic atrial fibrillation detection based on heart rate variability and spectral features (2018) IEEE Access, 6, art. no. 8468160, pp. 53566-53575. Cited 30 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2018.2871220spa
dcterms.bibliographicCitationZhao, Z., Sǎrkkǎ, S., Rad, A.B. Spectro-temporal ECG analysis for atrial fibrillation detection (2018) IEEE International Workshop on Machine Learning for Signal Processing, MLSP, 2018-September, art. no. 8517085. Cited 19 times. http://ieeexplore.ieee.org/xpl/conferences.jsp ISBN: 978-153865477-4 doi: 10.1109/MLSP.2018.8517085spa
dcterms.bibliographicCitationDuverney, D., Gaspoz, J., Pichot, V., Roche, F., Brion, R., Antoniadis, A., Barthélémy, J. High accuracy of automatic detection of atrial fibrillation using wavelet transform of heart rate intervals (2002) PACE - Pacing and Clinical Electrophysiology, Part I 25 (4), pp. 457-462. Cited 54 times. doi: 10.1046/j.1460-9592.2002.00457.xspa
dcterms.bibliographicCitationYuan, C., Yan, Y., Zhou, L., Bai, J., Wang, L. Automated atrial fibrillation detection based on deep learning network (Open Access) (2016) 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016, art. no. 7831994, pp. 1159-1164. Cited 32 times. ISBN: 978-150904102-2 doi: 10.1109/ICInfA.2016.7831994spa
dcterms.bibliographicCitationAndersen, R.S., Poulsen, E.S., Puthusserypady, S. A novel approach for automatic detection of Atrial Fibrillation based on Inter Beat Intervals and Support Vector Machine (2017) Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, art. no. 8037253, pp. 2039-2042. Cited 25 times. ISBN: 978-150902809-2 doi: 10.1109/EMBC.2017.8037253spa
dcterms.bibliographicCitationPetrenas, A., Marozas, V., Sörnmo, L. Low-complexity detection of atrial fibrillation in continuous long-term monitoring (Open Access) (2015) Computers in Biology and Medicine, 65, pp. 184-191. Cited 87 times. www.elsevier.com/locate/compbiomed doi: 10.1016/j.compbiomed.2015.01.019spa
dcterms.bibliographicCitationLinker, D.T. Accurate, Automated Detection of Atrial Fibrillation in Ambulatory Recordings (2016) Cardiovascular Engineering and Technology, 7 (2), pp. 182-189. Cited 35 times. http://www.springerlink.com/content/1869-408x/ doi: 10.1007/s13239-016-0256-zspa
dcterms.bibliographicCitationLee, J., Nam, Y., McManus, D.D., Chon, K.H. Time-varying coherence function for atrial fibrillation detection (2013) IEEE Transactions on Biomedical Engineering, 60 (10), art. no. 6518126, pp. 2783-2793. Cited 82 times. doi: 10.1109/TBME.2013.2264721spa
dcterms.bibliographicCitationKruger, G.H., Latchamsetty, R., Langhals, N.B., Yokokawa, M., Chugh, A., Morady, F., Oral, H., (...), Berenfeld, O. Bimodal classification algorithm for atrial fibrillation detection from m-health ECG recordings (Open Access) (2019) Computers in Biology and Medicine, 104, pp. 310-318. Cited 15 times. www.elsevier.com/locate/compbiomed doi: 10.1016/j.compbiomed.2018.11.016spa
dcterms.bibliographicCitationAnnavarapu, A, Kora, P. ECG-based atrial fibrillation detection using different orderings of conjugate symmetric– complex hadamard transform (2016) Int J Cardiovas Acad, 2 (3), pp. 151-154. Cited 15 times.spa
dcterms.bibliographicCitationPetrutiu, S., Ng, J., Nijm, G.M., Al-Angari, H., Swiryn, S., Sahakian, A.V. Atrial fibrillation and waveform characterization: A time domain perspective in the surface ECG (Open Access) (2006) IEEE Engineering in Medicine and Biology Magazine, 25 (6), art. no. 14, pp. 24-30. Cited 137 times. doi: 10.1109/EMB-M.2006.250505spa
dcterms.bibliographicCitationSörnmo, L. (2018) Atrial Fibrillation from an Engineering Perspective. Cited 20 times. New York: Springerspa
dcterms.bibliographicCitationLadavich, S., Ghoraani, B. Rate-independent detection of atrial fibrillation by statistical modeling of atrial activity (2015) Biomedical Signal Processing and Control, 18, pp. 274-281. Cited 113 times. http://www.elsevier.com/wps/find/journalbibliographicinfo.cws_home/706718/description#bibliographicinfo doi: 10.1016/j.bspc.2015.01.007spa
dcterms.bibliographicCitationLast, T., Nugent, C.D., Owens, F.J. Multi-component based cross correlation beat detection in electrocardiogram analysis (2004) BioMedical Engineering Online, 3, art. no. 26. Cited 50 times. http://www.biomedical-engineering-online.com/content/3/1/26 doi: 10.1186/1475-925X-3-26spa
dcterms.bibliographicCitationDotsinsky, I. Atrial wave detection algorithm for discovery of some rhythm abnormalities (2007) Physiological Measurement, 28 (5), art. no. 012. Cited 20 times. https://iopscience.iop.org/journal/0967-3334 doi: 10.1088/0967-3334/28/5/012spa
dcterms.bibliographicCitationBuxton, A.E., Josephson, M.E. The role of P wave duration as a predictor of postoperative atrial arrhythmias (Open Access) (1981) Chest, 80 (1), pp. 68-73. Cited 127 times. doi: 10.1378/chest.80.1.68spa
dcterms.bibliographicCitationAndrikopoulos, G.K., Dilaveris, P.E., Richter, D.J., Gialafos, E.J., Synetos, A.G., Gialafos, J.E. Increased variance of P wave duration on the electrocardiogram distinguishes patients with idiopathic paroxysmal atrial fibrillation (2000) PACE - Pacing and Clinical Electrophysiology, 23 (7), pp. 1127-1132. Cited 78 times. http://www.blackwellpublishing.com/journals/PACE doi: 10.1111/j.1540-8159.2000.tb00913.xspa
dcterms.bibliographicCitationMehta, A., Jain, A.C., Mehta, M.C., Billie, M. Usefulness of left atrial abnormality for predicting left ventricular hypertrophy in the presence of left bundle branch block (2000) American Journal of Cardiology, 85 (3), pp. 354-359. Cited 20 times. doi: 10.1016/S0002-9149(99)00746-8spa
dcterms.bibliographicCitationPassman, R., Beshai, J., Pavri, B., Kimmel, S. Predicting post-coronary bypass surgery atrial arrhythmias from the preoperative electrocardiogram (2001) American Heart Journal, 142 (5), pp. 806-810. Cited 41 times. http://www.elsevier.com/inca/publications/store/6/2/3/2/7/2/index.htt doi: 10.1067/mhj.2001.118736spa
dcterms.bibliographicCitationSasikala, P, WahidaBanu, R. Extraction of P wave and T wave in electrocardiogram using wavelet transform (2011) Int J Comput Sci Inf Technol, 2 (1), pp. 489-493. Cited 17 times.spa
dcterms.bibliographicCitationGiraldo-Guzmán, J., Contreras-Ortiz, S.H., Lasprilla, G.I.B., Kotas, M. Fetal ECG extraction using independent component analysis by Jade approach (2017) Proceedings of SPIE - The International Society for Optical Engineering, 10572, art. no. 105720V. Cited 4 times. http://spie.org/x1848.xml ISBN: 978-151061633-2 doi: 10.1117/12.2285962spa
dcterms.bibliographicCitationCastells, F., Laguna, P., Sörnmo, L., Bollmann, A., Roig, J.M. Principal component analysis in ECG signal processing (2007) Eurasip Journal on Advances in Signal Processing, 2007, art. no. 74580. Cited 281 times. doi: 10.1155/2007/74580spa
dcterms.bibliographicCitationRieta, J.J., Castells, F., Sánchez, C., Zarzoso, V., Millet, J. Atrial activity extraction for atrial fibrillation analysis using blind source separation (2004) IEEE Transactions on Biomedical Engineering, 51 (7), pp. 1176-1186. Cited 230 times. doi: 10.1109/TBME.2004.827272spa
dcterms.bibliographicCitationCastells, F., Rieta, J.J., Millet, J., Zarzoso, V. Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias (Open Access) (2005) IEEE Transactions on Biomedical Engineering, 52 (2), pp. 258-267. Cited 135 times. doi: 10.1109/TBME.2004.840473spa
dcterms.bibliographicCitationFischer, R., Klein, G., Widiger, B., Hoy, L., Zywietz, C. Discrimination between atrial flutter and atrial fibrillation by computing a flutter index (2005) Computers in Cardiology, 32, art. no. 1588039, pp. 81-84. Cited 3 times. ISBN: 0780393376; 978-078039337-0 doi: 10.1109/CIC.2005.1588039spa
dcterms.bibliographicCitationHiraki, T., Ikeda, H., Ohga, M., Hamada, T., Kubara, I., Yoshida, T., Ajisaka, H., (...), Imaizumi, T. Frequency- and time-domain analysis of P wave in patients with paroxysmal atrial fibrillation (1998) PACE - Pacing and Clinical Electrophysiology, 21 (1 I), pp. 56-64. Cited 25 times. http://www.blackwellpublishing.com/journals/PACE doi: 10.1111/j.1540-8159.1998.tb01061.xspa
dcterms.bibliographicCitationBollmann, A., Sonne, K., Esperer, H.-D., Toepffer, I., Langberg, J.J., Klein, H.U. Non-invasive assessment of fibrillatory activity in patients with paroxysmal and persistent atrial fibrillation using the Holter ECG (Open Access) (1999) Cardiovascular Research, 44 (1), pp. 60-66. Cited 104 times. doi: 10.1016/S0008-6363(99)00156-Xspa
dcterms.bibliographicCitationBollmann, A., Kanuru, N.K., McTeague, K.K., Walter, P.F., DeLurgio, D.B., Langberg, J.J. Frequency analysis of human atrial fibrillation using the surface electrocardiogram and its response to ibutilide (1998) American Journal of Cardiology, 81 (12), pp. 1439-1445. Cited 238 times. doi: 10.1016/S0002-9149(98)00210-0spa
dcterms.bibliographicCitationRódenas, J., García, M., Alcaraz, R., Rieta, J.J. Wavelet entropy automatically detects episodes of atrial fibrillation from single-lead electrocardiograms (2015) Entropy, 17 (9), pp. 6179-6199. Cited 48 times. http://www.mdpi.com/1099-4300/17/9/6179/pdf doi: 10.3390/e17096179spa
dcterms.bibliographicCitationGarcía, M., Ródenas, J., Alcaraz, R., Rieta, J.J. Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation (2016) Computer Methods and Programs in Biomedicine, 131, pp. 157-168. Cited 70 times. www.elsevier.com/locate/cmpb doi: 10.1016/j.cmpb.2016.04.009spa
dcterms.bibliographicCitationStridh, M., Rosenqvist, M. Automatic screening of atrial fibrillation in thumb-ECG recordings (2012) Computing in Cardiology, 39, art. no. 6420363, pp. 193-196. Cited 17 times. ISBN: 978-146732074-0spa
dcterms.bibliographicCitationPürerfellner, H., Pokushalov, E., Sarkar, S., Koehler, J., Zhou, R., Urban, L., Hindricks, G. P-wave evidence as a method for improving algorithm to detect atrial fibrillation in insertable cardiac monitors (Open Access) (2014) Heart Rhythm, 11 (9), pp. 1575-1583. Cited 93 times. http://www.elsevier.com/inca/publications/store/7/0/2/3/3/3/index.htt doi: 10.1016/j.hrthm.2014.06.006spa
dcterms.bibliographicCitationBruun, I.H., Hissabu, S.M.S., Poulsen, E.S., Puthusserypady, S. Automatic Atrial Fibrillation detection: A novel approach using discrete wavelet transform and heart rate variability (Open Access) (2017) Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, art. no. 8037728, pp. 3981-3984. Cited 12 times. ISBN: 978-150902809-2 doi: 10.1109/EMBC.2017.8037728spa
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dc.identifier.doi10.1615/CritRevBiomedEng.2022041650
dc.subject.keywordsAtrial Fibrillation;spa
dc.subject.keywordsSupraventricular Premature Beat;spa
dc.subject.keywordsBrain Ischemiaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.