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Items: 1 to 20 of 101

1.

The RITMIA™ Smartphone App for Automated Detection of Atrial Fibrillation: Accuracy in Consecutive Patients Undergoing Elective Electrical Cardioversion.

Reverberi C, Rabia G, De Rosa F, Bosi D, Botti A, Benatti G.

Biomed Res Int. 2019 Jul 2;2019:4861951. doi: 10.1155/2019/4861951. eCollection 2019.

2.

Smartwatch Algorithm for Automated Detection of Atrial Fibrillation.

Bumgarner JM, Lambert CT, Hussein AA, Cantillon DJ, Baranowski B, Wolski K, Lindsay BD, Wazni OM, Tarakji KG.

J Am Coll Cardiol. 2018 May 29;71(21):2381-2388. doi: 10.1016/j.jacc.2018.03.003. Epub 2018 Mar 10.

3.

Assessing the accuracy of an automated atrial fibrillation detection algorithm using smartphone technology: The iREAD Study.

William AD, Kanbour M, Callahan T, Bhargava M, Varma N, Rickard J, Saliba W, Wolski K, Hussein A, Lindsay BD, Wazni OM, Tarakji KG.

Heart Rhythm. 2018 Oct;15(10):1561-1565. doi: 10.1016/j.hrthm.2018.06.037. Epub 2018 Aug 22.

PMID:
30143448
4.

Effectiveness of the Chest Strap Electrocardiogram to Detect Atrial Fibrillation.

Hartikainen S, Lipponen JA, Hiltunen P, Rissanen TT, Kolk I, Tarvainen MP, Martikainen TJ, Castren M, Väliaho ES, Jäntti H.

Am J Cardiol. 2019 May 15;123(10):1643-1648. doi: 10.1016/j.amjcard.2019.02.028. Epub 2019 Feb 23.

PMID:
30878151
5.

PULSE-SMART: Pulse-Based Arrhythmia Discrimination Using a Novel Smartphone Application.

McMANUS DD, Chong JW, Soni A, Saczynski JS, Esa N, Napolitano C, Darling CE, Boyer E, Rosen RK, Floyd KC, Chon KH.

J Cardiovasc Electrophysiol. 2016 Jan;27(1):51-7. doi: 10.1111/jce.12842. Epub 2015 Nov 13.

6.

Systematic analysis of ECG predictors of sinus rhythm maintenance after electrical cardioversion for persistent atrial fibrillation.

Lankveld T, de Vos CB, Limantoro I, Zeemering S, Dudink E, Crijns HJ, Schotten U.

Heart Rhythm. 2016 May;13(5):1020-1027. doi: 10.1016/j.hrthm.2016.01.004. Epub 2016 Jan 8.

PMID:
26776554
7.

Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo-Plethysmography at the Wrist.

Bonomi AG, Schipper F, Eerikäinen LM, Margarito J, van Dinther R, Muesch G, de Morree HM, Aarts RM, Babaeizadeh S, McManus DD, Dekker LRC.

J Am Heart Assoc. 2018 Aug 7;7(15):e009351. doi: 10.1161/JAHA.118.009351.

8.

The significance of the left atrial volume index in cardioversion success and its relationship with recurrence in patients with non-valvular atrial fibrillation subjected to electrical cardioversion: a study on diagnostic accuracy.

Akdemir B, Altekin RE, Küçük M, Yanikoğlu A, Karakaş MS, Aktaş A, Demir İ, Ermiş C.

Anadolu Kardiyol Derg. 2013 Feb;13(1):18-25. doi: 10.5152/akd.2013.003. Epub 2012 Oct 12.

9.

Validation of a novel single lead ambulatory ECG monitor - Cardiostat™ - Compared to a standard ECG Holter monitoring.

Nault I, André P, Plourde B, Leclerc F, Sarrazin JF, Philippon F, O'Hara G, Molin F, Steinberg C, Roy K, Blier L, Champagne J.

J Electrocardiol. 2019 Mar - Apr;53:57-63. doi: 10.1016/j.jelectrocard.2018.12.011. Epub 2018 Dec 19.

PMID:
30641305
10.

Epicardial fat thickness: A new predictor of successful electrical cardioversion and atrial fibrillation recurrence.

Dereli S, Bayramoğlu A, Yontar OC, Cerşit S, Gürsoy MO.

Echocardiography. 2018 Dec;35(12):1926-1931. doi: 10.1111/echo.14178. Epub 2018 Nov 1.

PMID:
30387182
11.
13.

Reverse atrial remodeling in patients who maintain sinus rhythm after electrical cardioversion: evidence derived from the measurement of total atrial conduction time assessed by PA-TDI interval.

Müller P, Schiedat F, Dietrich JW, Shin DI, Kara K, Mügge A, Deneke T.

J Echocardiogr. 2014 Dec;12(4):142-50. doi: 10.1007/s12574-014-0227-z. Epub 2014 Sep 6.

PMID:
27277168
14.

Coarse fibrillatory waves in atrial fibrillation predict success of electrical cardioversion.

Zhao TX, Martin CA, Cooper JP, Gajendragadkar PR.

Ann Noninvasive Electrocardiol. 2018 Jul;23(4):e12528. doi: 10.1111/anec.12528. Epub 2017 Dec 22.

PMID:
29271577
15.

P-wave abnormality predicts recurrence of atrial fibrillation after electrical cardioversion: a prospective study.

Gonna H, Gallagher MM, Guo XH, Yap YG, Hnatkova K, Camm AJ.

Ann Noninvasive Electrocardiol. 2014 Jan;19(1):57-62. doi: 10.1111/anec.12087. Epub 2013 Dec 10.

PMID:
24320565
16.

Types and outcomes of cardioversion in patients admitted to hospital for atrial fibrillation: results of the German RHYTHM-AF Study.

Gitt AK, Smolka W, Michailov G, Bernhardt A, Pittrow D, Lewalter T.

Clin Res Cardiol. 2013 Oct;102(10):713-23. doi: 10.1007/s00392-013-0586-x. Epub 2013 Jun 30.

PMID:
23812041
17.

Heart rate variability parameters in horses distinguish atrial fibrillation from sinus rhythm before and after successful electrical cardioversion.

Broux B, De Clercq D, Decloedt A, Ven S, Vera L, van Steenkiste G, Mitchell K, Schwarzwald C, van Loon G.

Equine Vet J. 2017 Nov;49(6):723-728. doi: 10.1111/evj.12684. Epub 2017 Apr 24.

18.

The significance of the left atrial volume index in prediction of atrial fibrillation recurrence after electrical cardioversion.

Toufan M, Kazemi B, Molazadeh N.

J Cardiovasc Thorac Res. 2017;9(1):54-59. doi: 10.15171/jcvtr.2017.08. Epub 2017 Mar 18.

19.

Advanced interatrial block is an electrocardiographic marker for recurrence of atrial fibrillation after electrical cardioversion.

Fujimoto Y, Yodogawa K, Maru YJ, Oka E, Hayashi H, Yamamoto T, Iwasaki YK, Hayashi M, Shimizu W.

Int J Cardiol. 2018 Dec 1;272:113-117. doi: 10.1016/j.ijcard.2018.07.135. Epub 2018 Jul 29.

PMID:
30072150
20.

Diagnostic Performance of a Smartphone-Based Photoplethysmographic Application for Atrial Fibrillation Screening in a Primary Care Setting.

Chan PH, Wong CK, Poh YC, Pun L, Leung WW, Wong YF, Wong MM, Poh MZ, Chu DW, Siu CW.

J Am Heart Assoc. 2016 Jul 21;5(7). pii: e003428. doi: 10.1161/JAHA.116.003428.

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