Literature DB >> 26847074

Smart-watches: a potential challenger to the implantable loop recorder?

Alexander Carpenter1, Antonio Frontera2.   

Abstract

The newest generation of smart-watches offer heart rate monitoring technology via photoplethysmography, a technology shown to demonstrate impressive ability in diagnosing arrhythmias including atrial fibrillation. Combining such technology with the portability, connectivity and other location and activity tracking features smart-watches could represent a powerful new tool in extended non-invasive arrhythmia detection. The technology itself, including potential uses and limitations, is discussed. There is a need for further software development but crucially, further work into clarifying the diagnostic accuracy of such technology. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author 2016. For permissions please email: journals.permissions@oup.com.

Entities:  

Keywords:  Atrial fibrillation detection; Photoplethysmography; Smart-watch; Smartwatch

Mesh:

Year:  2016        PMID: 26847074     DOI: 10.1093/europace/euv427

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  17 in total

1.  Risk Prevention of Spreading Emerging Infectious Diseases Using a HybridCrowdsensing Paradigm, Optical Sensors, and Smartphone.

Authors:  Thierry Edoh
Journal:  J Med Syst       Date:  2018-04-10       Impact factor: 4.460

Review 2.  Unmet Cardiac Clinical Needs in Adult Mucopolysaccharidoses.

Authors:  Karolina M Stepien; Elizabeth A Braunlin
Journal:  Front Cardiovasc Med       Date:  2022-06-10

Review 3.  Wearable Devices for Ambulatory Cardiac Monitoring: JACC State-of-the-Art Review.

Authors:  Furrukh Sana; Eric M Isselbacher; Jagmeet P Singh; E Kevin Heist; Bhupesh Pathik; Antonis A Armoundas
Journal:  J Am Coll Cardiol       Date:  2020-04-07       Impact factor: 24.094

4.  Heart rhythm characterization through induced physiological variables.

Authors:  Jean-François Pons; Zouhair Haddi; Jean-Claude Deharo; Ahmed Charaï; Rachid Bouchakour; Mustapha Ouladsine; Stéphane Delliaux
Journal:  Sci Rep       Date:  2017-07-11       Impact factor: 4.379

5.  Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography.

Authors:  Zuhair Iftikhar; Olli Lahdenoja; Mojtaba Jafari Tadi; Tero Hurnanen; Tuija Vasankari; Tuomas Kiviniemi; Juhani Airaksinen; Tero Koivisto; Mikko Pänkäälä
Journal:  Sci Rep       Date:  2018-06-19       Impact factor: 4.379

Review 6.  Hidden Signals-The History and Methods of Heart Rate Variability.

Authors:  Gernot Ernst
Journal:  Front Public Health       Date:  2017-10-16

7.  Utility of a smartphone based system (cvrphone) to accurately determine apneic events from electrocardiographic signals.

Authors:  Kwanghyun Sohn; Faisal M Merchant; Shady Abohashem; Kanchan Kulkarni; Jagmeet P Singh; E Kevin Heist; Chris Owen; Jesse D Roberts; Eric M Isselbacher; Furrukh Sana; Antonis A Armoundas
Journal:  PLoS One       Date:  2019-06-17       Impact factor: 3.240

8.  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

9.  Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry).

Authors:  Yong-Yan Fan; Yan-Guang Li; Jian Li; Wen-Kun Cheng; Zhao-Liang Shan; Yu-Tang Wang; Yu-Tao Guo
Journal:  JMIR Mhealth Uhealth       Date:  2019-03-05       Impact factor: 4.773

10.  Detection of Atrial Fibrillation Using a Home Blood Pressure Monitor.

Authors:  Thomas Balanis; Bernd Sanner
Journal:  Vasc Health Risk Manag       Date:  2021-07-12
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