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28, No 4, 178-180.

  1. - Alcaraz R, Rieta JJ (2007): ‘Organization Deterioration Assessment from the Surface ECG in the Onset and Termination of Paroxysmal Atrial Fibrillation’, Computers in Cardiology, 34, 497−500.

  2. - Alcaraz R, Rieta JJ (2007): ‘Adaptive Singular Value QRST Cancellation for the Analysis of Short Single Lead Atrial Fibrillation Electrocardiograms’, Computers in Cardiology, 34, 513−516.

  3. - Alcaraz R, Rieta JJ (2007): ‘Non-Linear Analysis of the Main AtrialWave to Estimate Organization in Paroxysmal Atrial Fibrillation’, Computers in Cardiology, 34, 545−548.

  4. - Alcaraz R, Rieta JJ (2007): ‘Robust Prediction of Atrial Fibrillation Termination UsingWavelet Bidomain Entropy Analysis’, Computers in Cardiology, 34, 577−580.

  5. - Alcaraz R, Rieta JJ (2007): ‘Non-linear organization analysis of paroxysmal atrial fibrillation’, 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, art. No. 4352672, pp. 1838-1841.

  6. - Alcaraz R, Rieta JJ (2007): ‘Non-Linear Organization Analysis of the Dominant Atrial Frequency to Predict Spontaneous Termination of Atrial Fibrillation’, IFMBE Proceedings of the 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007 MEDICON 2007, 26-30 June 2007, Ljubljana, Slovenia, Publisher Springer Berlin Heidelberg, DOI 10.1007/978-3-540-73044-6_25, pp. 94-98.

  7. - Alcaraz R, Rieta JJ (2007): ‘Wavelet bidomain regularity analysis to predict spontaneous termination of atrial fibrillation’, 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, art. no. 4352701, pp. 1957-1960.

  8. -Alcaraz R, Rieta JJ (2007): ‘Non-linear Regularity Analysis of Cardiac Atrial Signals’, IEEE International Symposium on Intelligent Signal Processing,

DOI: 10.1109/WISP.2007.4447599, 6 pages.

  1. -Alcaraz R, Rieta JJ (2007): ‘Bidomain Sample Entropy to Predict Termination of Atrial Arrhythmias’, IEEE International Symposium on Intelligent Signal Processing,

DOI: 10.1109/WISP.2007.4447600, 6 pages.

  1. -Alcaraz R, Rieta JJ (2007): ‘A New Method to Assess Sinus Rhythm Maintenance Likelihood Before Electrical Cardioversion of Persistent Atrial Fibrillation’, Computers in Cardiology, 34, pp. 225−228.

  2. -Alcaraz R, Rieta JJ (2008): Wavelet bidomain sample entropy analysis to predict spontaneous termination of atrial fibrillation’, Physiological Measurement 29 (1), pp. 65-80.

  3. -Alcaraz R, Rieta JJ (2008): A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation’, Med Biol Eng Comput 46 (7), pp. 625-635.

  4. -Alcaraz R, Rieta JJ, Hornero F (2008):Non-Invasive Characterization of Atrial Activity Immediately Prior to Termination of Paroxysmal Atrial Fibrillation’, Rev Esp Cardiol, 61, pp. 154 – 160.

  5. - Iliev IT, Tabakov SD, Krasteva VT (2008): ‘Combined high-pass and power-line interference rejecter filter for ECG signal processing’, Seventeenth International Scientific and Applied Science Conference 'Electronics 2008', Sozopol, 20-22 September, book 1, pp. 49-54.

  6. - Alcaraz R, Rieta JJ (2008):Predicting Electrical Cardioversion Outcome from Surface ECG Recordings ThroughWavelet Sample Entropy’, Computers in Card., 35, pp1041-1044.

http://cinc.mit.edu/2008/preprints/PC4-3.pdf

  1. - Alcaraz R, Rieta JJ (2008):Optimal Beat Selection Study for QSRT Cancellation Methods in the ECG of Atrial Fibrillation’, Computers in Card., 35, pp. 1045-1048.

http://cinc.mit.edu/2008/preprints/PC4-4.pdf

  1. - Tabakov S, Iliev I, Krasteva V (2008): ’Online digital filter and QRS detector applicable in low resource ECG monitoring systems’, Annals of Biomedical Engineering, 36, (11), pp. 1805-1815.

  2. - Alcaraz R, Rieta JJ, Hornero F (2008): ‘Caracterización no invasiva de la actividad auricular durante los instantes previos a la terminación de la fibrilación auricular paroxística’, Rev Esp Cardiol, 61 (2), pp. 154-160.

  3. - Alcaraz R, Rieta J (2008): ‘Non-invasive organization variation assessment in the onset and termination of paroxysmal atrial fibrillation’, Computer Methods and Programs in Biomedicine, Vol. 93, Issue 2, pp. 148-154.

  4. - Alcaraz R, Rieta JJ, Hornero F (2008): ‘Atrial Activity Non-Invasive Characterization Previous Instants Before Paroxysmal Atrial Fibrillation Termination’, Rev Esp Cardiol, 61, pp. 154 – 160.

  5. - Alcaraz R, Rieta J (2008): ‘Predicting Electrical Cardioversion outcome from surface ECG recordings through wavelet sample entropy, Computers in Cardiology, 35, pp. 1041-1044.

  6. - Alcaraz R, Rieta J (2008): ‘Optimal beat selection study for QSRT cancellation methods in the ECG of atrial fibrillation’, Computers in Cardiology, 35, pp. 1045-1048.

  7. - Alcaraz R, Rieta JJ (2008): ‘Adaptive singular value cancelation of ventricular activity in single-lead atrial fibrillation electrocardiograms’, Physiol Meas, 29, pp. 1351-1369, doi: 10.1088/0967-3334/29/12/001

  8. - Alcaraz R, Rieta JJ, Hornero F (2008): ‘Non-invasive atrial fibrillation organization follow-up under successive attempts of electrical cardioversion’, Med Biol Comput, рр. 1247-1255.

  9. - Alcaraz R, Rieta JJ (2009): ‘A novel application of sample entropy to the electrocardiogram of atrial fibrillation’, Nonlinear Analysis: Real World Applications, doi:10.1016/j.nonrwa.2009.01.047, 2010, 11 (2) pp. 1026-1035.

  10. - Iliev I, Tabakov V, Krastev V (2009): ‘Combined high-pass and power-line interference rejection filter for ECG signal processing’, Peroceedings of the Technical University - Sofia, V. 58, b. 2. pp. 3-13.

  11. - Chudácek V, Georgoulas G, Lhotská L, Stylios C, Petrík M, Cepek M (2009): ’Examining cross-database global training to evaluate five different methods for ventricular beat classification’, Phys. Meas., 30, pp. 661-677.

  12. - Alcaraz R, Rieta JJ (2009): ‘Sample entropy of the main atrial wave predicts spontaneous termination of paroxysmal atrial fibrillation’, Med Eng Phys, pp. 917-922, doi:10.1016/j.medengphy.2009.05.002.

  13. - Alcaraz R, Rieta JJ (2009): ‘Time and frequency recurrence analysis of persistent atrial fibrillation after electrical cardioversion’, Physiol Meas, 30, pp. 479-489, doi: 10.1088/0967-3334/30/5/005

  14. - Alcaraz R, Rieta JJ (2009): Surface ECG organization analysis to predict paroxysmal atrial fibrillation termination’, Computers in Biology and Medicine, 39 (8) pp. 697-706.

  15. - Alcaraz R, Rieta JJ, Martínez A (2009): ‘Comparative study of non-invasive organization estimation strategies to predict spontaneous termination of atrial fibrillation’, Computers in Cardiology 2009, 36, pp. 513−516.

  16. - Alcaraz R, Sandberg F, Sörnmo L, Rieta JJ (2009): ‘Organization Tracking of Long-Term Atrial Fibrillation Recordings: Differences Between Paroxysmal and Persistent Episodes’, Computers in Cardiology, 36, pp. 509−512, ISSN 0276−6574.

  17. - Alcaraz MR, Rieta, JJ, Martínez A (2009): ‘Optimal basis function study in wavelet sample entropy for electrical cardioversion outcome prediction of persistent atrial fibrillation Computers in Cardiology, 36, art. no. 5445259, pp. 809-812.

  18. - Alcaraz R, Rieta JJ (2010): ‘A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms’, Biomed Signal Processing Control, 5 (1) pp. 1-14. http://linkinghub.elsevier.com/retrieve/pii/S1746809409000937doi:10.1016/j.bspc.2009.11.001

  19. -Alcaraz R, Rieta JJ (2010): ‘The application of nonlinear metrics to assess organization differences in short recordings of paroxysmal and persistent atrial fibrillation’, Phys Meas, 31 (1), pp. 115-130.

  20. - Alcaraz R, Abásolo D, Hornero R, Rieta JJ (2010): ‘Optimal parameters study for sample entropy-based atrial fibrillation organization analysis’, Computer Methods and Programs in Biomedicine, 99, (1), pp. 124-132.

Dotsinsky I, Stoyanov T (2005): ‘Power-line interference cancellation in ECG signals’, Biomedical Instrumentation & Technology, March/April, 39, No 2, 155-162.

  1. - Pawan M, Gaikwad K (2005): ‘Development of a portable ECG and pulse oximeter’, Synopsis Report, Department of Electronics, Shivaji University, Kolhapur, India, pp. 1-11, http://www.rkkamat.in/pawan.pdf.

  2. - Christov I (2006): 'Power-line interference elimination from ECG: dynamic evaluation of the linearity criterion', Electrotechnika & Electronica E+E, 7-8, pp. 34-39.

  3. -- Mihov G, Ivanov R, Levkov Ch (2006): ‘Subtraction method for removing powerline interference from ECG in case of frequency deviation’, Electronics ET’2006, book 3, pp. 104-109.

  4. - Михов Г (2007): ‘Електронни устройства, системи и методи за обектно-ориентирана обработка на сигнали за потискане на смущения и идентифициране на полезни компоненти’, хабилитационен труд за присъждане на научното звание ст.н.с. І ст.

  5. - Zheng JW, Zhang ZB, Wu TH, Zhang Y (2007): ‘A wearable mobihealth care system supporting real-time diagnosis and alarm’, Med. Biol. Eng. Compu., 46,  DOI: 10.1007/s11517-007-0221-y.

  6. -Chavan MS, Agarwala RA, Uplane MD (2008): ‘Interference Reduction in ECG using Digital FIR Filters based on rectangular window’, WSEAS Trans. on Signal Processing, 5 (4), pp. 340-349.

http://www.wseas.us/e-library/transactions/signal/2008/27-390.pdf

  1. -Chavan MS, Agarwala RA, Uplane MD (2008):’Suppression of baseline wander and power line interference in ECG using digital IIR filter’, Interna. J. Circuits, Systems and Signal Processing, 2, (2), pp. 356-365.

  2. -Chavan MS, Agarwala RA, Uplane MD (2008): ‘Design and implementation of Digital FIR Equiripple Notch Filter on ECG Signal for removal of Power line Interference’, WSEAS Trans. on Signal Processing, 4 (4), pp. 221-230.

http://www.wseas.us/e-library/transactions/signal/2008/26-157.pdf

  1. - Chavan MS, Agarwala RA, Uplane MD (2008): ‘Rectangular window for interference reduction in ECG’, 7th WSEAS International Conference on Signal Processing, Istanbul, Turkey, May 27-30, pp. 110-114.

  2. - Chavan MS, Agarwala RA, Uplane MD (2008): ‘Suppression of noise in the ECG signal using digital IIR filter’, Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing, Hangzhou, China, pp. 335-343.

  3. - Mihov S, Ivanov R, Popov A (2009): ‘Implementation of real time power-line interference removal procedure from ECG’, Peroceedings of the Technical University - Sofia, V. 58, b. 2. pp. 21-303.

  4. - Smit D, de Cock CC, Thijs A, Smulders YM (2009): ‘Effects of breath-holding position on the QRS amplitudes in the routine electrocardiogram’, J Electrocardiology, 42 (5) pp. 400-404.

  5. - Jason Ng, Borodyanskiy AI, Chang ET, Villuendas R, Dibs S, Kadish AH, Goldberger JJ (2010): Measuring the Complexity of Atrial Fibrillation Electrograms’, Journal of Cardiovascular Electrophysiology, 21 (6), pp. 649-655.

  6. -Михов СГ (2010): ‘Изследване, анализ и проектиране на програмируеми цифрови устройства и системи’, Дисертация за образователната и научна степен “доктор”165 стр.

Mihov G, Dotsinsky I, Georgieva Ts (2005): ‘Subtraction procedure for power-line interference removing from ECG: Improvement for non-multiple sampling’, J Med Eng Technol, 29, No 5, 238-243.

  1. - Christov I (2006): 'Power-line interference elimination from ECG: dynamic evaluation of the linearity criterion', Electrotechnika & Electronica E+E, 7-8, pp. 34-39.

  2. - Chavan MPS (2007): ‘Parameterization and R-peak error estimations of ECG signals using independent component analysis’, Computational and Mathematical Methods in Medicine, 8, Issue 4, pp. 263 – 285.

  3. -Chavan MS, Agarwala RA, Uplane MD (2008): ‘Design and implementation of Digital FIR Equiripple Notch Filter on ECG Signal for removal of Power line Interference’, WSEAS Trans. on Signal Processing, 4 (4), pp. 221-230.

http://www.wseas.us/e-library/transactions/signal/2008/26-157.pdf

  1. - Mihov S, Ivanov R, Popov A (2009): ‘Implementation of real time power-line interference removal procedure from ECG’, Peroceedings of the Technical University - Sofia, V. 58, b. 2. pp. 21-303.

  2. - Kaur M, Singh B (2009): ‘Powerline interference reduction in ECG using combination of MA method and IIR notch’, International Journal of Recent Trends in Engineering, 2, (6), pp. 125-129.

  3. - Kaur M, Arora AS (2010): ‘Combination method for powerline interference reduction in ECG’, International J Computer Applications, 1, (14), pp. 12-17.

  4. -Михов СГ (2010): ‘Изследване, анализ и проектиране на програмируеми цифрови устройства и системи’, Дисертация за образователната и научна степен “доктор”165 стр.

Levkov C, Mihov G, Ivanov R, Daskalov I, Christov I, Dotsinsky I (2005): ’Removal of power-line interference from the ECG: a review of the subtraction procedure’, BioMed Eng OnLine, 4:50.

  1. - Dobrev D, Neycheva T, Mudrov N (2005): ‘Simple two electrode biosignal amplifier’, Med Biol Eng Compu., 43, No 6, pp. 725-730.

  2. -Tomoyuki Kamitani, Naohiro Toda (2006): ‘Power-line Interference Removability of Adaptive Digital Filters’, Institute of Electronics,Information and Communication Engineering, Technical Report, pp. 1-5.

  3. - Adcock DB (2006): Rapid Prototyping of a Single-Channel Electroencephalogram-Based Brain-Computer Interface’, MS Thesis, North Carolina State University, pp.1-106.

  4. -Tomoyuki Kamitani, Naohiro Toda (2006): ‘Alternative Noise Elimination by Adaptive Digital Filter in Biopotential Measurements’, Graduate School of Information Science and Technology, Aichi Prefectural University, Technical Report, pp. 1-4.

  5. - Zheng JW, Zhang ZB, Wu TH, Zhang Y (2007): ‘A wearable mobihealth care system supporting real-time diagnosis and alarm’, Med. Biol. Eng. Comput., 46,  DOI: 10.1007/s11517-007-0221-y.

  6. - Nelson Carlos Medeiros de Vasconcellos (2007): ‘Topografia da coerência espectral dos potenciais eletroencefalográficos relacionados a eventos musculares’, Dissertação, Universidade Federal Fluminense, Niterói, Brasil, 230 pages, http://www.ic.uff.br/PosGraduacao/Dissertacoes/386.pdf

  7. - Cushion TJ (2007): ‘Notch Filtering Electromyography Signal’, Individual Research Project Report, Electronic & Computer Science, University of Southampton, pp. 1-8,

http://portfolio.ecs.soton.ac.uk/17/3/IRP.pdf

  1. -Yacoub S, Raoof K (2008): ‘Power line interference rejection from surface electromyography signal using an adaptive algorithm’, ITBM-RBM, © 2008 Elsevier Masson SAS, in press, doi:10.1016/j.rbmret.2007.09.002

  2. - Dobrev D, Neycheva T, Mudrov N (2008): Bootstrapped two-electrode biosignal amplifier’, Med. Biolog. Eng. Comput., 46, pp. 613-619.

http://www.springerlink.com/content/h768696g72636r73/

  1. - Curione M, Cammaro C, Cardarelli G, Di Bona S, Montesan T, Travasci L, Colandre M, Colott M, Ciancamerl M, Rong G (2008): ‘QRS area monitoring during stress test: a novel index to separate normal to ischaemic patients?’, Arch. Med. Sci., 4, (1), pp. 51-56.

  2. - Dobrev D, Neycheva T, Mudrov N (2008) Digital lock-in techniques for adaptive power-line interference extraction. Physiological Measurement,

http://www.iop.org/EJ/journal/-page=forthart/0967-3334

  1. - Mahesh SC, Agarwala RA, Uplane MD (2008): ‘Interference Reduction in ECG using Digital FIR Filters based on rectangular window’, WSEAS Trans. on Signal Processing, 5 (4), pp. 340-349.

  2. -Chavan MS, Agarwala RA, Uplane MD (2008): ‘ Suppression of baseline wander and power line interference in ECG using digital IIR filter’, Interna. J. Circuits, Systems and Signal Processing, 2, (2), pp. 356-365.

  3. - Chavan MS, Agarwala RA, Uplane MD (2008): ‘Rectangular window for interference reduction in ECG’, 7th WSEAS International Conference on Signal Processing, Istanbul, Turkey, May 27-30, pp. 110-114.

  4. - Iliev IT, Tabakov SD, Krasteva VT (2008): ‘Combined high-pass and power-line interference rejecter filter for ECG signal processing’, Seventeenth International Scientific and Applied Science Conference 'Electronics 2008', Sozopol, 20-22 September, book 1, pp. 49-54.

  5. - Dobrev DP, Neycheva TD, Mudrov NT (2008): ‘Combined high-pass and power-line interference rejecter filter for ECG signal processing’, Seventeenth International Scientific and Applied Science Conference 'Electronics 2008', Sozopol, 20-22 September, book 1, pp. 25-30.

  6. - Chavan MS, Agarwala RA, Uplane MD (2008): ‘Suppression of noise in the ECG signal using digital IIR filter’, Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing, Hangzhou, China, pp. 335-343.

  7. - Tabakov S, Iliev I, Krasteva V (2008): ’Online digital filter and QRS detector applicable in low resource ECG monitoring systems’, Annals of Biomedical Engineering, 36, (11), pp. 1805-1815.

  8. - Szilágyi SM, Szilágyi L, Görög LK, Luca CT, Cozma D, Ivanica G, Benyó Z: (2008) An enhanced accessory pathway localization method for efficient treatment of Wolff-Parkinson-White syndrome’, Lecture Notes in Computer Science 5197, pp. 269-276.

  9. -Yacoub S, Raoof K (2008): ‘Noise removal from surface respiratory EMG signal’, International Journal of Computer, Information, and Systems Science, and Engineering 2, (4), pp. 226-233.

  10. - Jérôme Dumont (2008) : ‘Fouille de dynamiques multivariées, application à des données temporelles en cardiologie’, Dissertation pour obtenir le grade de Docteur de l'université de Rennes 1, No d'ordre: 3682, 150 pages,

 http://hal.archives-ouvertes.fr/docs/00/36/47/20/PDF/these_jdumont.pdf

  1. - Zhidong Z, Chan M. (2008): A novel cancellation method of powerline interference in ECG signal based on EMD and adaptive filter’, International Conference on Communication Technology, ICCT, 10-12 November, Bangkok, Thailand,  pp. 517-520.

  2. - Pasquariello G, Cesarelli M, Bifulco P, Fratini A, La Gatta A, Romano M (2009: ‘Characterisation of baseline oscillation in congenital nystagmus eye movement recordings’, Biomedical Signal Processing and Control, 4 (2), pp. 102-107, doi:10.1016/j.bspc.2009.01.003,

http://linkinghub.elsevier.com/retrieve/pii/S1746809409000044

  1. - Iliev I, Tabakov V, Krastev V (2009): ‘Combined high-pass and power-line interference rejection filter for ECG signal processing’, Peroceedings of the Technical University - Sofia, V. 58, b. 2. pp. 3-13.

  2. - Trigano T, Isserles U, Ritov Y (2009-draft): ‘Semiparametric curve alignment and shift density estimation with application to ECG data’, IEEE Transactions in Signal Processing, http://128.84.158.114/PS_cache/arxiv/pdf/0807/0807.1271v2.pdf

  3. - Querellou E, Meyran D, Petitjean F, Le Dreff P, Maurin O (2009): ‘Ventricular fibrillation diagnosed with trans-thoracic echocardiography’, Resuscitation, doi:10.1016/j.resuscitation.2009.06.033, Vol 80, Issue 10, pp.1211-1213. http://linkinghub.elsevier.com/retrieve/pii/S0300957209003293

  4. - Dobrev DP, Neycheva TD, Mudrov NT (2009): ‘High-Q comb filter for mains interference suppression’, Selected papers of the XVIII International Scientific and Applied Science Conference “ELECTRONICS - ET’2004” (Annual Journal of Electronics), Sozopol, Vol. 3, No 1, 47-49.

  5. - Dobrev DP, Neycheva TD, Mudrov NT (2009): ‘Simple high-Q comb filter for mains interference and baseline drift suppression’, Selected papers of the XVIII International Scientific and Applied Science Conference “ELECTRONICS - ET’2004” (Annual Journal of Electronics), Sozopol, Vol. 3, No 1, 50-52.

  6. - Kaur M, Singh B (2009): ‘Powerline interference reduction in ECG using combination of MA method and IIR notch’, International Journal of Recent Trends in Engineering, 2, (6), pp. 125-129.

  7. - Chaudhuri S, Pawar TD, Duttagupta S (2009): ‘Ambulation Analysis in Wearable ECG’, © Springer, ISBN: 978-1-4419-0723-3, 153 pages.

  8. - Vale-Cardoso AS, Guimarãesl HN (2010): ‘The effect of 50/60 Hz notch filter application on human and rat ECG recordings’, Physiol Meas
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