يعرض 1 - 20 نتائج من 41 نتيجة بحث عن '"Fourier domains"', وقت الاستعلام: 0.51s تنقيح النتائج
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    المصدر: Communications in Computer and Information Science

    Relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094123744&doi=10.1007%2f978-3-030-61834-6_21&partnerID=40&md5=5408d11b7328c90e1c98521ae512073e; 1274 CCIS; 245; 256; Acharya, U.R., Application of nonlinear methods to discriminate frac-tionated electrograms in paroxysmal versus persistent atrial fibrillation (2019) Comput. Meth. Prog. Bio., 175, pp. 163-178; Almeida, L.B., The fractional Fourier transform and time-frequency representations (1994) IEEE Trans. Signal Process., 42 (11), pp. 3084-3091; Botteron, G., Smith, J., A technique for measurement of the extent of spatial organization of atrial activation during atrial fibrillation in the intact human heart (1995) IEEE Trans. Biomed. Eng., 42 (6), pp. 579-586; Chen, L.Y., Benditt, D.G., Alonso, A., Atrial fibrillation and its association with sudden cardiac death (2014) Circ. J. Official J. Japanese Circ. Soc., 78 (11), pp. 2588-2593; Cirugeda-Roldán, E.M., Molina Picó, A., Novák, D., Cuesta-Frau, D., Kremen, V., Sample entropy analysis of noisy atrial electrograms during atrial fibrillation (2018) Comput. Math. Methods Med., 2018; Clayton, R.H., Nash, M.P., Analysis of cardiac fibrillation using phase mapping (2015) Card. Electrophysiol. Clin., 7 (1), pp. 49-58; Everett, T.H., IV., Wilson, E.E., Verheule, S., Guerra, J.M., Foreman, S., Olgin, J.E., Structural atrial remodeling alters the substrate and spatiotemporal organization of atrial fibrillation: A comparison in canine models of structural and electrical atrial remodeling (2006) Am. J. Physiol. Heart Circ. Physiol., 291 (6); Gomez, A., Ugarte, J.P., Tobón, C., The fractional Fourier transform as a biomedical signal and image processing tool: A review (2020) Biocybern. Biomed. Eng.; Jacquemet, V., Study of unipolar electrogram morphology in a computer model of atrial fibrillation (2003) J. Cardiovasc. Electrophysiol., 14 (10), pp. 172-179. , suppl; Kampstra, P., Beanplot: A boxplot alternative for visual comparison of distributions (2008) J. Stat. Softw. Code Snippets, 28 (1), pp. 1-9; Lin, Y.J., Tai, C.T., Chen, S.A., Can mapping and ablation of atrial fibrillation be guided by frequency analysis of fibrillatory waves? (2006) J. Cardiovasc. Electrophysiol., 17, pp. 44-49; Mansour, M., Mandapati, R., Berenfeld, O., Chen, J., Samie, F.H., Jalife, J., Left-to-right gradient of atrial frequencies during acute atrial fibrillation in the isolated sheep heart (2001) Circulation, 103 (21), pp. 2631-2636; Miyasaka, Y., Mortality trends in patients diagnosed with first atrial fibrillation. A 21-year community-based study (2007) J. Am. College Cardiol., 49 (9), pp. 986-992; Ng, J., Kadish, A.H., Goldberger, J.J., Effect of electrogram characteristics on the relationship of dominant frequency to atrial activation rate in atrial fibrillation (2006) Heart Rhythm, 3 (11), pp. 1295-1305; Nygren, A., Mathematical model of an adult human atrial cell: The role of K+ currents in repolarization (1998) Circ. Res., 82 (1), pp. 63-81; Ozaktas, H.M., Ankan, O., Kutay, M.A., Bozdagt, G., Digital computation of the fractional Fourier transform (1996) IEEE Trans. Signal Process., 44 (9), pp. 2141-2150; Ozaktas, H.M., Kutay, M.A., Mendlovic, D., Introduction to the fractional Fourier transform and its applications (1999) Adv. Imag. Electron Phys., 106, pp. 239-291; Pincus, S.M., Approximate entropy (ApEn) as a regularity measure (1998) Applications of Nonlinear Dynamics to Developmental Process Modeling, pp. 243-268; Sanders, P., Frequency mapping of the pulmonary veins in paroxysmal versus permanent atrial fibrillation (2006) J. Cardiovasc. Electrophysiol., 17 (9), pp. 965-972; Skanes, A.C., Mandapati, R., Berenfeld, O., Davidenko, J.M., Jalife, J., Spatiotemporal periodicity during atrial fibrillation in the isolated sheep heart (1998) Circulation, 98 (12), pp. 1236-1248; Tan, A.Y., Li, H., Wachsmann-Hogiu, S., Chen, L.S., Chen, P.S., Fishbein, M.C., Autonomic innervation and segmental muscular disconnections at the human pulmonary vein-atrial junction (2006) Implications for Catheter Ablation of Atrial-Pulmonary Vein Junction. J. Am. College Cardiol., 48 (1), pp. 132-143; Tobón, C., Ruiz-Villa, C.A., Heidenreich, E., Romero, L., Hornero, F., Saiz, J., A three-dimensional human atrial model with fiber orientation. Electrograms and arrhythmic activation patterns relationship (2013) Plos ONE, 8 (2); Ugarte, J.P., Dynamic approximate entropy electroanatomic maps detect rotors in a simulated atrial fibrillation model (2014) Plos ONE, 9 (12), pp. 1-19; Ugarte, J.P., Tobón, C., Orozco-Duque, A., Entropy mapping approach for functional reentry detection in atrial fibrillation: An in-silico study Juan (2019) Entropy, 21 (2), pp. 1-17. , https://doi.org/10.3390/e21020194; Zhang, Y., Zhang, Q., Wu, S., Biomedical signal detection based on fractional fourier transform (2008) 5Th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in Conjunction with 2Nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008, Shenzhen, China, pp. 349-352; Zhang, Y.D., A comprehensive survey on fractional Fourier transform (2017) Fun-Damenta Informaticae, 151 (1-4), pp. 1-48; Zheng, L., Shi, D., Maximum amplitude method for estimating compact fractional Fourier domain (2010) IEEE Signal Process. Lett., 17 (3), pp. 293-296; Zlochiver, S., Yamazaki, M., Kalifa, J., Berenfeld, O., Rotor meandering contributes to irregularity in electrograms during atrial fibrillation (2008) Heart Rhythm, 5 (6), pp. 846-854; http://hdl.handle.net/11407/5999

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    المساهمون: Essam, D, Sarker, R

    المصدر: Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN 2012)

    Relation: Ng, Kian, Cunnington, Ross, & Bradley, Andrew (2012) Enhancing the classification accuracy of steady-state visual evoked potential-based brain-computer interface using component synchrony measure. In Essam, D & Sarker, R (Eds.) Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN 2012). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1-6.; https://eprints.qut.edu.au/114195/; Science & Engineering Faculty

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