Literature DB >> 29250298

Smartphone-based Arrhythmia Detection: Should we encourage patients to use the ECG in their pocket?

Ryan D White1, Greg Flaker1.   

Abstract

The detection of atrial fibrillation (AF) is important for stroke prevention in patients with AF. This paper aimed to investigate the current landscape of smartphone-based arrhythmia detection and monitoring. The current technology can be divided into smartphone-based photoplethysmography (PPG) and smartphone-based single-lead electrocardiograms (ECGs). Our literature review concluded there are currently no validated PPG applications for the detection of arrhythmias available to the general population. However, an initial validation study indicates that the current development in Cardiio Rhythm PPG application, when made available, could provide an accurate and reliable means to detect AF in patients at risk of developing AF. The smartphone-based single-lead ECG devices are more promising. Multiple studies have shown the AliveCor smartphone ECG to be a reliable and accurate means of detecting atrial fibrillation. A drawback is that this device strictly provides data and is not capable of making a diagnosis of atrial fibrillation. The recorded ECG needs to be sent to a physician or medical professional for further review. In conclusion, these devices show promise in arrhythmia assessment, managing patients with AF, and diagnosing AF early in high risk patients. Caution should be used when assessing data provided by these devices, as validation in a real-world setting is still underway.

Entities:  

Keywords:  Atrial fibrillation; Stroke prevention; Technology

Year:  2017        PMID: 29250298      PMCID: PMC5673348          DOI: 10.4022/jafib.1605

Source DB:  PubMed          Journal:  J Atr Fibrillation        ISSN: 1941-6911


  9 in total

1.  Feasibility and cost-effectiveness of stroke prevention through community screening for atrial fibrillation using iPhone ECG in pharmacies. The SEARCH-AF study.

Authors:  Nicole Lowres; Lis Neubeck; Glenn Salkeld; Ines Krass; Andrew J McLachlan; Julie Redfern; Alexandra A Bennett; Tom Briffa; Adrian Bauman; Carlos Martinez; Christopher Wallenhorst; Jerrett K Lau; David B Brieger; Raymond W Sy; S Ben Freedman
Journal:  Thromb Haemost       Date:  2014-04-01       Impact factor: 5.249

2.  Heart disease and stroke statistics--2015 update: a report from the American Heart Association.

Authors:  Dariush Mozaffarian; Emelia J Benjamin; Alan S Go; Donna K Arnett; Michael J Blaha; Mary Cushman; Sarah de Ferranti; Jean-Pierre Després; Heather J Fullerton; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Simin Liu; Rachel H Mackey; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Paul Muntner; Michael E Mussolino; Khurram Nasir; Robert W Neumar; Graham Nichol; Latha Palaniappan; Dilip K Pandey; Mathew J Reeves; Carlos J Rodriguez; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Joshua Z Willey; Daniel Woo; Robert W Yeh; Melanie B Turner
Journal:  Circulation       Date:  2014-12-17       Impact factor: 29.690

3.  iPhone ECG application for community screening to detect silent atrial fibrillation: a novel technology to prevent stroke.

Authors:  Jerrett K Lau; Nicole Lowres; Lis Neubeck; David B Brieger; Raymond W Sy; Connor D Galloway; David E Albert; Saul B Freedman
Journal:  Int J Cardiol       Date:  2013-03-07       Impact factor: 4.164

4.  Assessing the direct costs of treating nonvalvular atrial fibrillation in the United States.

Authors:  Karin S Coyne; Clark Paramore; Susan Grandy; Marco Mercader; Matthew Reynolds; Peter Zimetbaum
Journal:  Value Health       Date:  2006 Sep-Oct       Impact factor: 5.725

5.  Performance of handheld electrocardiogram devices to detect atrial fibrillation in a cardiology and geriatric ward setting.

Authors:  Lien Desteghe; Zina Raymaekers; Mark Lutin; Johan Vijgen; Dagmara Dilling-Boer; Pieter Koopman; Joris Schurmans; Philippe Vanduynhoven; Paul Dendale; Hein Heidbuchel
Journal:  Europace       Date:  2016-02-17       Impact factor: 5.214

6.  Subclinical atrial fibrillation and the risk of stroke.

Authors:  Jeff S Healey; Stuart J Connolly; Michael R Gold; Carsten W Israel; Isabelle C Van Gelder; Alessandro Capucci; C P Lau; Eric Fain; Sean Yang; Christophe Bailleul; Carlos A Morillo; Mark Carlson; Ellison Themeles; Elizabeth S Kaufman; Stefan H Hohnloser
Journal:  N Engl J Med       Date:  2012-01-12       Impact factor: 91.245

7.  Atrial fibrillation as an independent risk factor for stroke: the Framingham Study.

Authors:  P A Wolf; R D Abbott; W B Kannel
Journal:  Stroke       Date:  1991-08       Impact factor: 7.914

8.  A single-center randomized, controlled trial investigating the efficacy of a mHealth ECG technology intervention to improve the detection of atrial fibrillation: the iHEART study protocol.

Authors:  Kathleen T Hickey; Nicole R Hauser; Laura E Valente; Teresa C Riga; Ashton P Frulla; Ruth Masterson Creber; William Whang; Hasan Garan; Haomiao Jia; Robert R Sciacca; Daniel Y Wang
Journal:  BMC Cardiovasc Disord       Date:  2016-07-16       Impact factor: 2.298

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

Authors:  Pak-Hei Chan; Chun-Ka Wong; Yukkee C Poh; Louise Pun; Wangie Wan-Chiu Leung; Yu-Fai Wong; Michelle Man-Ying Wong; Ming-Zher Poh; Daniel Wai-Sing Chu; Chung-Wah Siu
Journal:  J Am Heart Assoc       Date:  2016-07-21       Impact factor: 5.501

  9 in total
  7 in total

1.  Diagnostic Utility of Smartwatch Technology for Atrial Fibrillation Detection - A Systematic Analysis.

Authors:  Mehmet Ali Elbey; Daisy Young; Sri Harsha Kanuri; Krishna Akella; Ghulam Murtaza; Jalaj Garg; Donita Atkins; Sudha Bommana; Sharan Sharma; Mohit Turagam; Jayashree Pillarisetti; Peter Park; Rangarao Tummala; Alap Shah; Scott Koerber; Poojita Shivamurthy; Chandrasekhar Vasamreddy; Rakesh Gopinathannair; Dhanunjaya Lakkireddy
Journal:  J Atr Fibrillation       Date:  2021-04-30

Review 2.  The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review.

Authors:  Ka Hou Christien Li; Francesca Anne White; Gary Tse; Timothy Tipoe; Tong Liu; Martin Cs Wong; Aaron Jesuthasan; Adrian Baranchuk; Bryan P Yan
Journal:  JMIR Mhealth Uhealth       Date:  2019-02-15       Impact factor: 4.773

3.  Different habitus but similar electrocardiogram: Cardiac repolarization parameters in children - Comparison of elite athletes to obese children.

Authors:  Christian Paech; Janina Moser; Ingo Dähnert; Franziska Wagner; Roman Antonin Gebauer; Toralf Kirsten; Mandy Vogel; Wieland Kiess; Antje Körner; Bernd Wolfarth; Jan Wüstenfeld
Journal:  Ann Pediatr Cardiol       Date:  2019 Sep-Dec

4.  Evaluation of the diagnostic accuracy of smartphone electrocardiogram recorder compared to standard 12 lead electrocardiography in hospital settings.

Authors:  Jawaher Towhari; Nazish Masud; Haitham Alanazi
Journal:  Saudi Med J       Date:  2019-06       Impact factor: 1.484

5.  Use of a Smart Watch for Early Detection of Paroxysmal Atrial Fibrillation: Validation Study.

Authors:  Yohei Kawasaki; Tomohiko Inui; Hiroki Kohno; Kaoru Matsuura; Hideki Ueda; Yusaku Tamura; Michiko Watanabe; Yuichi Inage; Yasunori Yakita; Yutaka Wakabayashi; Goro Matsumiya
Journal:  JMIR Cardio       Date:  2020-01-22

6.  The effect of active occupational stress management on psychosocial and physiological wellbeing: a pilot study.

Authors:  Tomislav Jukic; Alojz Ihan; Vojko Strojnik; David Stubljar; Andrej Starc
Journal:  BMC Med Inform Decis Mak       Date:  2020-12-03       Impact factor: 2.796

7.  Use of Patient Health Records to Quantify Drug-Related Pro-arrhythmic Risk.

Authors:  Mark R Davies; Michael Martinec; Robert Walls; Roman Schwarz; Gary R Mirams; Ken Wang; Guido Steiner; Andy Surinach; Carlos Flores; Thierry Lavé; Thomas Singer; Liudmila Polonchuk
Journal:  Cell Rep Med       Date:  2020-08-25
  7 in total

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