{"id":40,"date":"2014-09-19T21:47:54","date_gmt":"2014-09-19T20:47:54","guid":{"rendered":"http:\/\/blog.uclm.es\/raulalcaraz\/?page_id=40"},"modified":"2024-02-11T20:02:41","modified_gmt":"2024-02-11T20:02:41","slug":"publications","status":"publish","type":"page","link":"https:\/\/blog.uclm.es\/raulalcaraz\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

BOOK CHAPTERS<\/strong>
1.<\/strong><\/em> C. Sanchez, JJ. Rieta, F. Castells, R. Alcaraz, J. Millet, \u201cWavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers\u201d, Lecture Notes in Computer Science (Springer-Verlag Berlin Heidelberg)<\/em>, vol. 3195, pp. 1111-1117, 2004.
2<\/strong><\/em>. R. Alcaraz, JJ. Rieta \u201cThe contribution of nonlinear methods in the understanding of atrial fibrillation<\/a>\u201d in Atrial Fibrillation \u2014 Mechanisms and Treatment<\/em>, Tong Liu (Ed.), chap. 8, InTech Open Science, 2013.
3.<\/strong><\/em> J J. Rieta, R. Alcaraz, \u201cApplication of signal analysis to atrial fibrillation<\/a>\u201d in Atrial Fibrillation \u2014 Mechanisms and Treatment<\/em>, L. S\u00f6rnmo (Ed.), chap. 6, InTech Open Science, 2013.
4.<\/strong><\/em> L. S\u00f6rnmo, R. Alcaraz, P. Laguna, JJ. Rieta, \u201cCharacterization of f waves<\/a>\u201d, In: S\u00f6rnmo, L. (Eds) Atrial Fibrillation from an Engineering Perspective. Series in BioEngineering. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-319-68515-1_6.
5.<\/strong><\/em> R. Alcaraz, JJ. Rieta, \u201cAnalysis in atrial fibrillation<\/a>\u201d, In: Golemati, S., Nikita, K. (eds) Cardiovascular Computing\u2014Methodologies and Clinical Applications. Series in BioEngineering. Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-10-5092-3_17<\/p>\n

SELECTED INTERNATIONAL JOURNALS (FROM MORE THAN 80 PUBLICATIONS)
1.\u00a0<\/em><\/strong>M. Garc\u00eda, M. Mart\u00ednez-Iniesta, J. R\u00f3denas, JJ. Rieta, R. Alcaraz, \u00abA novel wavelet-based filtering strategy to remove powerline interference from electrocardiograms with atrial fibrillation<\/a>\u00ab, Physiological Measurement, vol.\u00a039, no. 11, pp. 115006, 2018.
2.<\/strong><\/em> A. Martinez-Rodrigo, B. Garcia-Martinez, R. Alcaraz, P. Gonz\u00e1lez, A. Fernandez-Caballero, \u00abMultiscale entropy analysis for recognition of visually elicited negative stress from EEG recordings<\/a>\u00ab, International Journal of Neural Systems, vol. 29, no. 2, pp. 1850038, 2019.
3.<\/strong><\/em> M. Mart\u00ednez-Iniesta, J. R\u00f3denas, JJ. Rieta, R. Alcaraz, \u00abThe stationary wavelet transform as an efficient reductor of powerline interference for atrial bipolar electrocardiograms in cardiac electrophysiology<\/a>\u00ab, Physiological Measurement, vol. 40, no. 7, pp. 075003, 2019.
4.<\/strong> <\/em>A <\/span>Marti\u0301nez-Rodrigo, B. Garci\u0301a-Marti\u0301nez, L. Zunino, R. Alcaraz, A. Ferna\u0301ndez-Caballero, \u00abMulti-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition<\/a>\u00ab, \u00a0Front. Neuroinform., vol. 13, pp. 40, 2021.\u00a0
<\/span>5.<\/strong><\/em> A. Huerta, A. Martinez-Rodrigo, V. Bertomeu-Gonz\u00e1lez, A. Quesada, JJ. Rieta, R. Alcaraz, \u00abA deep learning approach for featureless robust quality assessment of intermittent atrial fibrillation recordings from portable and wearable devices<\/a>\u00ab, Entropy, vol. 22, no.7, pp. 733, 2020.
6.<\/strong><\/em> R. Alcaraz, A. Martinez-Rodrigo, R. Zangroniz, JJ. Rieta, \u00abBlending inverted lectures and laboratory experiments to improve learning in an introductory course in digital systems<\/a>\u00ab, IEEE Transactions on Education, vol. 63, no. 3, pp. 144-154, 2020.
7.<\/strong><\/em> SB. Chen, F. Rajaee, A. Yousefpour, R. Alcaraz, YM. Chu, JF. G\u00f3mez-Aguilar, S. Bekiros, AA. Aly, H. Jahanshahi, \u00abAntiretroviral therapy of HIV infection using a novel optimal type-2 fuzzy control strategy<\/a>\u00ab, Alexandria Engineering Jornal, vol. 60, no. 1, pp. 1545-1555, 2021.
8.<\/strong><\/em> PY. Xiong, H. Jahanshahi, R. Alcaraz, YM. Chu, JF. G\u00f3mez-Aguilar, FE. Alsaadi, \u00abSpectral entropy analysis and synchronization of multi-stable fractional-order chaotic system using a novel neural network-based chattering-free sliding mode technique<\/a>\u00ab, Chaos, Solitons & Fractals, vol. 144, pp. 110576, 2021.
9.<\/strong><\/em> B. Garcia-Martinez, A. Martinez-Rodrigo, R. Alcaraz, A. Fernandez-Caballero, \u00abA review o nonlinear methods using electroencephalographic recordings for emotion recognition<\/a>\u00ab, IEEE Transaction on Affective Computing, vol. 12, no. 3, pp. 801-820, 2021.
10.<\/strong><\/em> R. Alcaraz, A. Martinez-Rodrigo, R. Zangroniz, JJ. Rieta, \u00abEarly prediction of students at risk of failing a face-to-face course in power electronic systems<\/a>\u00ab, IEEE Transactions on Learning Technologies, vol 14, no. 5, pp. 590-603, 2021.
11.<\/strong><\/em> B.Garc\u00eda-Martinez, A. Fernandez-Caballero, R. Alcaraz, A. Martinez-Rodrigo, \u00abAssessment of dispersion patterns for negative stress detection from electroencephalographic signals<\/a>\u00ab, Pattern Recognition, vol. 119, pp. 108094, 2021.
12.<\/strong><\/em> B. Garci\u0301a-Marti\u0301nez, A. Ferna\u0301ndez-Caballero, \u00a0R. Alcaraz, A. Mart\u00ednez-Rodrigo, \u00abCross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings<\/a>\u00ab. Neural Comput & Applic, vol. 33, pp. 9343\u20139352, 2021.
<\/span>13.<\/strong><\/em> D. Padovano, A. Martinez-Rodrigo, JM. Pastor, JJ. Rieta, R. Alcaraz, \u00abOn the generalization of sleep detection methods based on heart rate variability and machine learning<\/a>\u00ab, IEEE Access, vol. 10, pp. 92710-92725, 2022.
14.<\/strong><\/em> B. Garcia-Martinez, A. Fernandez-Caballero, R. Alcaraz, A. Martinez-Rodrigo, \u00abApplication of dispersion entropy for the detection of emotions with electroencephalographic signals<\/a>\u00ab, IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 3, pp. 1179-1187, 2022.
15.<\/strong><\/em> A. Huerta, A. Martinez-Rodrigo, D. Carneiro, V. Bertomeu-Gonz\u00e1lez, JJ. Rieta, R. Alcaraz, \u00abComparison of supervised learning algorithms for quality assessment of wearable electrocardiograms with paroxysmal atrial fibrillation<\/a>\u00ab, IEEE Access, vol. 11, pp. 106126-106140, 2023.
16.<\/strong><\/em> P. Escribano, J. R\u00f3denas, M. Garc\u00eda, MA. Arias, VM. Hidalgo, S. Calero, JJ. Rieta, R. Alcaraz, \u00abCombination of frequency and time domain characteristics of the fibrillatory waves for enhanced prediction of persistent atrial fibrillation recurrence after catheter ablation<\/a>\u00ab, Heliyon, vol. 10, pp. e25295, 2024.
17.<\/strong><\/em> P. Escribano, J. R\u00f3denas, M. Garc\u00eda, F. Hornero, J.M. Gracia-Baena, R. Alcaraz, JJ. Rieta, \u00abNovel entropy-based metrics for long-term atrial fibrillation recurrence prediction following surgical ablation: Insights from preoperative electrocardiographic analysis<\/a>\u00ab, Entropy, vol. 26, no. 1, pp. 28, 2024.
18.<\/strong><\/em> A. Huerta, A. Martinez-Rodrigo, V. Bertomeu-Gonz\u00e1lez, O. Ayo-Martin, JJ. Rieta, R. Alcaraz, \u00abSingle-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots<\/a>\u00ab, Biomedical Signal Processing and Control, vol. 91, pp. 105920, 2024.<\/p>\n

SELECTED INTERNATIONAL CONFERENCES (FROM MORE THAN 200 PUBLICATIONS)<\/strong>
1.<\/strong><\/em> R. Alcaraz, F. Sandberg, L. S\u00f6rnmo, JJ. Rieta, (invited paper), \u201cApplication of frequency and sample entropy to discriminate long-term recordings of paroxysmal and persistent atrial fibrillation<\/a>\u201d, 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4558-4561, 2010, Buenos Aires (Argentina).
2.<\/strong><\/em> A. Mart\u00ednez, R. Alcaraz, JJ. Rieta, (invited paper), \u201cDetection and removal of ventricular ectopic beats in atrial fibrillation recordings via principal component analysis<\/a>\u201d, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4693-4696, 2011, Boston (USA).
3.<\/strong><\/em> R. Alcaraz, F. Hornero, JJ. Rieta (invited paper), \u201cValidation of surface atrial fibrillation organization indicators through invasive recordings<\/a>\u201d, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5519-5522, 2011, Boston (USA).
4.<\/strong><\/em> JJ. Rieta, R. Alcaraz, (invited paper) \u201cNovel parameters for AF complexity<\/a>\u201d, First European Conference for Standarization of Advanced ECG Analysis in Arrhythmia Diagnostics, 2013, Lugano (Switzerland).
5.<\/strong><\/em> A. Huerta, A. Martinez-Rodrigo, V. Bertomeu-Gonzalez, A. Quesada, JJ. Rieta, R. Alcaraz, \u00abQuality assessment of very long-term ECG recordings using a convolutional neural network<\/a>\u00ab, 7th IEEE E-Health and Bioengineering Conference (EHB), pp. 8970077, 2019. (19 citas, FWCI 3.18). \u00a0
6.<\/strong><\/em> D. Padovano, A. Martinez-Rodrigo, JM. Pastor, JJ. Rieta, R. Alcaraz, \u00abAn experimental review on obstructive sleep apnea detection based on heart rate variability and machine learning techniques<\/a>\u00ab, 8th IEEE E-Health and Bioengineering Conference (EHB), pp. 9280302, 2020. (4 citas, FWCI 0.95).
7.<\/strong><\/em> A. Vraka, V. Bertomeu-Gonz\u00e1lez, J. Osca, F. Ravelli, R. Alcaraz, JJ. Rieta, \u00abStudy on how catheter ablation affects atrial structures in patients with paroxysmal atrial fibrillation: The case of the coronary sinus<\/a>\u00ab, 8th IEEE E-Health and Bioengineering Conference (EHB), pp. 9280243, 2020. (6 citas, FWCI 1.43).
8.<\/strong><\/em> A. Huerta, V. A. Martinez-Rodrigo, JJ. Rieta, R. Alcaraz, \u00abECG quality assessment via deep learning and data augmentation<\/a>\u00ab, Computing in Cardiology, 2021. (4 citas, FWCI 1.11).<\/p>\n\n\n

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BOOK CHAPTERS1. C. Sanchez, JJ. Rieta, F. Castells, R. Alcaraz, J. Millet, \u201cWavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers\u201d, Lecture Notes in Computer Science (Springer-Verlag Berlin Heidelberg), vol. 3195, pp. 1111-1117, 2004.2. R. Alcaraz, JJ. Rieta \u201cThe contribution of nonlinear methods in the understanding of atrial fibrillation\u201d in Atrial Fibrillation […]<\/p>\n","protected":false},"author":56,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"open","template":"page-templates\/front-page.php","meta":{"footnotes":""},"class_list":["post-40","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/pages\/40","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/comments?post=40"}],"version-history":[{"count":18,"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/pages\/40\/revisions"}],"predecessor-version":[{"id":233,"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/pages\/40\/revisions\/233"}],"wp:attachment":[{"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/media?parent=40"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}