These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
3. The application of nonlinear metrics to assess organization differences in short recordings of paroxysmal and persistent atrial fibrillation. Alcaraz R; Rieta JJ Physiol Meas; 2010 Jan; 31(1):115-30. PubMed ID: 19946175 [TBL] [Abstract][Full Text] [Related]
4. Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation. Julián M; Alcaraz R; Rieta JJ Comput Biol Med; 2014 May; 48():66-76. PubMed ID: 24642478 [TBL] [Abstract][Full Text] [Related]
5. Prediction of paroxysmal atrial fibrillation using nonlinear analysis of the R-R interval dynamics before the spontaneous onset of atrial fibrillation. Shin DG; Yoo CS; Yi SH; Bae JH; Kim YJ; Park JS; Hong GR Circ J; 2006 Jan; 70(1):94-9. PubMed ID: 16377931 [TBL] [Abstract][Full Text] [Related]
6. Preoperative study of the surface ECG for the prognosis of atrial fibrillation maze surgery outcome at discharge. Hernández A; Alcaraz R; Hornero F; Rieta JJ Physiol Meas; 2014 Jul; 35(7):1409-23. PubMed ID: 24875277 [TBL] [Abstract][Full Text] [Related]
7. Noninvasive organization analysis along consecutive episodes of paroxysmal atrial fibrillation. Alcaraz R; Hornero F; Rieta JJ Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():1467-70. PubMed ID: 22254596 [TBL] [Abstract][Full Text] [Related]
8. Application of frequency and sample entropy to discriminate long-term recordings of paroxysmal and persistent atrial fibrillation. Alcaraz R; Sandberg F; Sörnmo L; Rieta JJ Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4558-61. PubMed ID: 21096222 [TBL] [Abstract][Full Text] [Related]
9. Surface ECG organization time course analysis along onward episodes of paroxysmal atrial fibrillation. Alcaraz R; Hornero F; Rieta JJ Med Eng Phys; 2011 Jun; 33(5):597-603. PubMed ID: 21227732 [TBL] [Abstract][Full Text] [Related]
10. Assessment of non-invasive time and frequency atrial fibrillation organization markers with unipolar atrial electrograms. Alcaraz R; Hornero F; Rieta JJ Physiol Meas; 2011 Jan; 32(1):99-114. PubMed ID: 21119220 [TBL] [Abstract][Full Text] [Related]
11. Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis. Goya-Esteban R; Sandberg F; Barquero-Pérez Ó; García-Alberola A; Sörnmo L; Rojo-Álvarez JL Med Biol Eng Comput; 2014 Dec; 52(12):1053-60. PubMed ID: 25284217 [TBL] [Abstract][Full Text] [Related]
12. Enhancement of atrial fibrillation electrical cardioversion procedures through the arrhythmia organization estimation from the ECG. Alcaraz R; Hornero F; Rieta JJ Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():122-5. PubMed ID: 21096522 [TBL] [Abstract][Full Text] [Related]
13. Heart rate variability measures during sinus rhythm predict cycle length entropy during atrial fibrillation. Segerson NM; Smith ML; Wasmund SL; Lux RL; Daccarett M; Hamdan MH J Cardiovasc Electrophysiol; 2008 Oct; 19(10):1031-6. PubMed ID: 18462335 [TBL] [Abstract][Full Text] [Related]
14. Classification of paroxysmal and persistent atrial fibrillation in ambulatory ECG recordings. Alcaraz R; Sandberg F; Sörnmo L; Rieta JJ IEEE Trans Biomed Eng; 2011 May; 58(5):1441-9. PubMed ID: 21317075 [TBL] [Abstract][Full Text] [Related]
15. Application of dynamical analyses of heart rate to rhythm classification and prognosis. Carrara M; Carozzi L; Cerutti S; Ferrario M; Lake DE; Moorman JR Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1723-6. PubMed ID: 25570308 [TBL] [Abstract][Full Text] [Related]
16. Time and frequency series combination for non-invasive regularity analysis of atrial fibrillation. Vayá C; Rieta JJ Med Biol Eng Comput; 2009 Jul; 47(7):687-96. PubMed ID: 19468772 [TBL] [Abstract][Full Text] [Related]