Literature DB >> 31660316

Apple Watch, Wearables, and Heart Rhythm: where do we stand?

Joel M Raja1, Carol Elsakr2, Sherif Roman3, Brandon Cave4, Issa Pour-Ghaz1, Amit Nanda1, Miguel Maturana1, Rami N Khouzam5.   

Abstract

Atrial fibrillation (AF) poses a major health concern in the United States by affecting over 5 million people accounting for at least 15% to 25% of strokes. It can be asymptomatic or subclinical with its first presentation being stroke in 18%, and AF being only detected at the time of stroke. With evidence of subclinical AF associated with increased risk of ischemic stroke, recent developments indeed point towards wearables, especially smart watches, being quite effective and representing a novel method for screening for silent AF in the general population, and thereby reducing mortality and morbidity associated with it. This manuscript aims to review whether the photoplethysmography (PPG) technology, employed in the wearables to monitor heart rate, is accurate enough to aid in the diagnosis of AF that may remain asymptomatic or paroxysmal. It also explores the option of actually employing this method in the general population, the feasibility of this mode of diagnosis, sensitivity and specificity of this method compared to the conventional electrocardiogram (EKG), and the actual follow up with a practitioner and subsequent treatment of AF, if diagnosed. We conducted a Medline search using various combinations of "smart watch" "atrial fibrillation" "wearables", and "Kardia" to identify pivotal randomized trials published before June 1, 2019, for inclusion in this review. Concurrently, major practice guidelines, trial bibliographies, and pertinent reviews were examined to ensure inclusion of relevant trials. A consensus among the authors was used to choose items for narrative inclusion. The following section reviews data from pivotal trials to determine the effectiveness of smart watch technology in detecting AF in the general population. Trials reviewed evaluated apple watch, Kardia, Samsung wearables in diagnosis of AF. The fact that there is an increase in consumer use of wearables, smart devices, which can serve as health monitoring devices that can be used as a non-invasive, ambulatory assessment of heart rate and rhythm, is definitely novel. Intermittent short EKG recordings repeated over a longer-term period produced significantly better sensitivity for AF detection, with 4 times as many cases diagnosed compared with a single time-point measurement. Since there are limitations and further research into this new field is required, the wearable technology may not serve as the ultimate tool for diagnosis of AF, rather a nidus for the general population to seek medical advice for confirmation on being notified of having an irregular rhythm leading to prevention of morbidity and mortality associated with it. 2019 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Apple watch; arrhythmia; atrial fibrillation (AF); single lead electrocardiogram (single lead EKG); wearables

Year:  2019        PMID: 31660316      PMCID: PMC6787392          DOI: 10.21037/atm.2019.06.79

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


  17 in total

1.  Smart watches for heart rate assessment in atrial arrhythmias.

Authors:  Anoop N Koshy; Jithin K Sajeev; Nitesh Nerlekar; Adam J Brown; Kevin Rajakariar; Mark Zureik; Michael C Wong; Louise Roberts; Maryann Street; Jennifer Cooke; Andrew W Teh
Journal:  Int J Cardiol       Date:  2018-09-01       Impact factor: 4.164

2.  Secular trends in incidence of atrial fibrillation in Olmsted County, Minnesota, 1980 to 2000, and implications on the projections for future prevalence.

Authors:  Yoko Miyasaka; Marion E Barnes; Bernard J Gersh; Stephen S Cha; Kent R Bailey; Walter P Abhayaratna; James B Seward; Teresa S M Tsang
Journal:  Circulation       Date:  2006-07-03       Impact factor: 29.690

3.  Accuracy of blinded clinician interpretation of single-lead smartphone electrocardiograms and a proposed clinical workflow.

Authors:  Anoop N Koshy; Jithin K Sajeev; Kazuaki Negishi; Michael C Wong; Christopher B Pham; Sumudu P Cooray; Yeganeh Khavar; Louise Roberts; Jennifer C Cooke; Andrew W Teh
Journal:  Am Heart J       Date:  2018-08-23       Impact factor: 4.749

4.  A cost-effectiveness analysis of screening for silent atrial fibrillation after ischaemic stroke.

Authors:  Lars-Åke Levin; Magnus Husberg; Piotr Doliwa Sobocinski; Viveka Frykman Kull; Leif Friberg; Mårten Rosenqvist; Thomas Davidson
Journal:  Europace       Date:  2014-10-27       Impact factor: 5.214

5.  Economic Burden of Undiagnosed Nonvalvular Atrial Fibrillation in the United States.

Authors:  Mintu P Turakhia; Jason Shafrin; Katalin Bognar; Dana P Goldman; Philip M Mendys; Younos Abdulsattar; Daniel Wiederkehr; Jeffrey Trocio
Journal:  Am J Cardiol       Date:  2015-06-04       Impact factor: 2.778

6.  Cost-effectiveness of mass screening for untreated atrial fibrillation using intermittent ECG recording.

Authors:  Mattias Aronsson; Emma Svennberg; Mårten Rosenqvist; Johan Engdahl; Faris Al-Khalili; Leif Friberg; Viveka Frykman-Kull; Lars-Åke Levin
Journal:  Europace       Date:  2015-04-12       Impact factor: 5.214

7.  Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch.

Authors:  Geoffrey H Tison; José M Sanchez; Brandon Ballinger; Avesh Singh; Jeffrey E Olgin; Mark J Pletcher; Eric Vittinghoff; Emily S Lee; Shannon M Fan; Rachel A Gladstone; Carlos Mikell; Nimit Sohoni; Johnson Hsieh; Gregory M Marcus
Journal:  JAMA Cardiol       Date:  2018-05-01       Impact factor: 14.676

8.  Utility of photoplethysmography for heart rate estimation among inpatients.

Authors:  Anoop N Koshy; Jithin K Sajeev; Nitesh Nerlekar; Adam J Brown; Kevin Rajakariar; Mark Zureik; Michael C Wong; Louise Roberts; Maryann Street; Jennifer Cooke; Andrew W Teh
Journal:  Intern Med J       Date:  2018-05       Impact factor: 2.048

9.  Mass Screening for Untreated Atrial Fibrillation: The STROKESTOP Study.

Authors:  Emma Svennberg; Johan Engdahl; Faris Al-Khalili; Leif Friberg; Viveka Frykman; Mårten Rosenqvist
Journal:  Circulation       Date:  2015-04-24       Impact factor: 29.690

10.  Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study.

Authors:  Mintu P Turakhia; Manisha Desai; Haley Hedlin; Amol Rajmane; Nisha Talati; Todd Ferris; Sumbul Desai; Divya Nag; Mithun Patel; Peter Kowey; John S Rumsfeld; Andrea M Russo; Mellanie True Hills; Christopher B Granger; Kenneth W Mahaffey; Marco V Perez
Journal:  Am Heart J       Date:  2018-09-08       Impact factor: 4.749

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  25 in total

1.  Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiography.

Authors:  Boyang Tom Jin; Raj Palleti; Siyu Shi; Andrew Y Ng; James V Quinn; Pranav Rajpurkar; David Kim
Journal:  J Am Med Inform Assoc       Date:  2022-10-07       Impact factor: 7.942

Review 2.  Wearables for Neurologic Conditions: Considerations for Our Patients and Research Limitations.

Authors:  Mia T Minen; Eric J Stieglitz
Journal:  Neurol Clin Pract       Date:  2021-08

3.  Application of Patient-Generated Health Data in Managing Chronic Conditions in Hospital Kuala Lumpur: A Qualitative Study.

Authors:  Ao Lik Lee; Nik Nur Eliza Mohamed
Journal:  Malays J Med Sci       Date:  2022-06-28

4.  Recommendations for determining the validity of consumer wearable heart rate devices: expert statement and checklist of the INTERLIVE Network.

Authors:  Jan M Mühlen; Julie Stang; Esben Lykke Skovgaard; Pedro B Judice; Pablo Molina-Garcia; William Johnston; Luís B Sardinha; Francisco B Ortega; Brian Caulfield; Wilhelm Bloch; Sulin Cheng; Ulf Ekelund; Jan Christian Brønd; Anders Grøntved; Moritz Schumann
Journal:  Br J Sports Med       Date:  2021-01-04       Impact factor: 13.800

Review 5.  Wearable Devices: Current Status and Opportunities in Pain Assessment and Management.

Authors:  Andrew Leroux; Rachael Rzasa-Lynn; Ciprian Crainiceanu; Tushar Sharma
Journal:  Digit Biomark       Date:  2021-04-19

6.  Outcome measures based on digital health technology sensor data: data- and patient-centric approaches.

Authors:  Kirsten I Taylor; Hannah Staunton; Florian Lipsmeier; David Nobbs; Michael Lindemann
Journal:  NPJ Digit Med       Date:  2020-07-23

7.  Feasibility and Reliability of SmartWatch to Obtain 3-Lead Electrocardiogram Recordings.

Authors:  Amirali Behzadi; Alireza Sepehri Shamloo; Konstantinos Mouratis; Gerhard Hindricks; Arash Arya; Andreas Bollmann
Journal:  Sensors (Basel)       Date:  2020-09-07       Impact factor: 3.576

8.  Can Smartwatch Prevent Sudden Cardiac Deaths? A Case Of Smartwatch Failure in Arrhythmogenic Right Ventricular Dysplasia.

Authors:  Sengottaian Sivakumar; Navdeep Bhatti
Journal:  Cureus       Date:  2021-06-24

Review 9.  The role of non-invasive devices for the telemonitoring of heart failure patients.

Authors:  A Faragli; D Abawi; C Quinn; M Cvetkovic; T Schlabs; E Tahirovic; H-D Düngen; B Pieske; S Kelle; F Edelmann; Alessio Alogna
Journal:  Heart Fail Rev       Date:  2021-09       Impact factor: 4.214

Review 10.  Lessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare.

Authors:  Hun-Sung Kim; Kun-Ho Yoon
Journal:  Endocrinol Metab (Seoul)       Date:  2020-09-22
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