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.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
756 related items for PubMed ID: 26391728
1. 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. PubMed ID: 26391728 [Abstract] [Full Text] [Related]
2. Arrhythmia discrimination using a smart phone. Chong JW, Esa N, McManus DD, Chon KH. IEEE J Biomed Health Inform; 2015 May; 19(3):815-24. PubMed ID: 25838530 [Abstract] [Full Text] [Related]
6. Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study. Kwon S, Hong J, Choi EK, Lee E, Hostallero DE, Kang WJ, Lee B, Jeong ER, Koo BK, Oh S, Yi Y. JMIR Mhealth Uhealth; 2019 Jun 06; 7(6):e12770. PubMed ID: 31199302 [Abstract] [Full Text] [Related]
8. 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):. PubMed ID: 27444506 [Abstract] [Full Text] [Related]
11. Detection of atrial fibrillation with a smartphone camera: first prospective, international, two-centre, clinical validation study (DETECT AF PRO). Brasier N, Raichle CJ, Dörr M, Becke A, Nohturfft V, Weber S, Bulacher F, Salomon L, Noah T, Birkemeyer R, Eckstein J. Europace; 2019 Jan 01; 21(1):41-47. PubMed ID: 30085018 [Abstract] [Full Text] [Related]
12. Diagnostic reliability of monitoring for premature atrial and ventricular complexes. Måneheim A, Economou Lundeberg J, Persson AP, Edegran A, Grotek-Cuprjak A, Juhlin T, Benezet-Mazuecos J, Ellenbogen KA, Engström G, Healey JS, Johnson LS. Europace; 2024 Aug 03; 26(8):. PubMed ID: 39056247 [Abstract] [Full Text] [Related]
14. Preliminary Results on Density Poincare Plot Based Atrial Fibrillation Detection from Premature Atrial/Ventricular Contractions. Bashar SK, Han D, Zieneddin F, Ding E, Walkey AJ, McManus DD, Chon KH. Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul 01; 2020():2594-2597. PubMed ID: 33018537 [Abstract] [Full Text] [Related]
15. Premature Atrial and Ventricular Contraction Detection using Photoplethysmographic Data from a Smartwatch. Han D, Bashar SK, Mohagheghian F, Ding E, Whitcomb C, McManus DD, Chon KH. Sensors (Basel); 2020 Oct 05; 20(19):. PubMed ID: 33028000 [Abstract] [Full Text] [Related]
18. Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms. Poh MZ, Poh YC, Chan PH, Wong CK, Pun L, Leung WW, Wong YF, Wong MM, Chu DW, Siu CW. Heart; 2018 Dec 05; 104(23):1921-1928. PubMed ID: 29853485 [Abstract] [Full Text] [Related]
19. Atrial fibrillation detection using an iPhone 4S. Lee J, Reyes BA, McManus DD, Maitas O, Chon KH. IEEE Trans Biomed Eng; 2013 Jan 05; 60(1):203-6. PubMed ID: 22868524 [Abstract] [Full Text] [Related]
20. Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry). Fan YY, Li YG, Li J, Cheng WK, Shan ZL, Wang YT, Guo YT. JMIR Mhealth Uhealth; 2019 Mar 05; 7(3):e11437. PubMed ID: 30835243 [Abstract] [Full Text] [Related] Page: [Next] [New Search]