Does the watch can detect cardiac arrhythmias?
DOI:
https://doi.org/10.12775/JEHS.2023.13.02.042Keywords
smartwatch, cardiac arrhythmia, mHealth, screening, wearable devicesAbstract
Introduction and purpose:
The prevalence of cardiac arrhythmias in the population is not exactly known. Since cardiac arrhythmias are often episodic, they cannot be detected by conventional methods such as electrocardiography (ECG), which takes only a few seconds to record. The purpose of this review is to analyze the latest information regarding the use of smart watches to detect cardiac arrhythmias.
Material and methods:
This review is based on available data collected in the PubMed database published between 2015 and 2022. The search was performed by browsing keywords such as: "smartwatch", "cardiac arrhythmia", "mHealth", "screening", "wearable devices".
Results:
The results suggest that the detection of atrial fibrillation (AF) using commercially available smartwatches shows very high diagnostic accuracy. Accuracy in smartwatch arrhythmia detection demonstrated a cumulative sensitivity of 100% (95% CI 1.00-1.00) in 16 studies with 5,050 participants. Sensitivity ranged from 25% (95% CI 0.14-0.36) to 100% (95% CI 1.00-1.00), specificity ranged from 68% (95% CI 0.65 -0.70) to 100% (95% Cl 1.00-1.00). Insufficient quality of the PPG signal resulted in the exclusion of some data in many studies. The analyzes showed no difference in diagnostic accuracy between photoplethysmography (PPG) and single-lead electrocardiography used in these devices.
Conclusions:
The prevalence of arrhythmias in the form of atrial fibrillation and other forms of arrhythmia in the middle-aged and older population is significant. This review highlights the increasing role of electronic devices in the detection of cardiac arrhythmias. Smartwatches show promising accuracy in detecting arrhythmias, but more research is needed to make this method of arrhythmia recognition a common screening method.
References
Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MS, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UK, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS, American Heart Association Council on Epidemiology Prevention Statistics Committee Stroke Statistics Subcommittee Heart Disease and Stroke Statistics-2019 Update: a report from the American Heart Association. Circulation. 2019 Mar 05;139(10):56–528. doi: 10.1161/CIR.0000000000000659.
Rahman F, Kwan GF, Benjamin EJ. Global epidemiology of atrial fibrillation. Nat Rev Cardiol. 2014 Nov 12;11(11):639–54. doi: 10.1038/nrcardio.2014.118.nrcardio.2014.118
Heeringa J, van der Kuip DA, Hofman A, Kors JA, van Herpen G, Stricker BH, Stijnen T, Lip GY, Witteman JC. Prevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study. Eur Heart J. 2006 Apr;27(8):949–53. doi: 10.1093/eurheartj/ehi825.ehi825
Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham study. Stroke. 1991 Aug;22(8):983–8. doi: 10.1161/01.str.22.8.983.
Park H, Pei J, Shi M, Xu Q, Fan J. Designing wearable computing devices for improved comfort and user acceptance. Ergonomics. 2019 Nov 03;62(11):1474–84. doi: 10.1080/00140139.2019.1657184.
Gil MA. Standard and precordial leads obtained with an Apple Watch. Ann Intern Med. 2020 Mar 17;172(6):436–7. doi: 10.7326/M19-2018.2756147
Turakhia MP, Desai M, Hedlin H, Rajmane A, Talati N, Ferris T, Desai S, Nag D, Patel M, Kowey P, Rumsfeld JS, Russo AM, Hills MT, Granger CB, Mahaffey KW, Perez MV. Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: the Apple Heart Study. Am Heart J. 2019 Jan;207:66–75. doi: 10.1016/j.ahj.2018.09.002.
Nazarian S, Lam K, Darzi A, Ashrafian H. Diagnostic Accuracy of Smartwatches for the Detection of Cardiac Arrhythmia: Systematic Review and Meta-analysis. J Med Internet Res. 2021 Aug 27;23(8):e28974. doi: 10.2196/28974. PMID: 34448706; PMCID: PMC8433941.
Zhang H, Zhang J, Li H, Chen Y, Yang B, Guo Y, Chen Y. Validation of single centre pre-mobile atrial fibrillation apps for continuous monitoring of atrial fibrillation in a real-world setting: pilot cohort study. J Med Internet Res. 2019 Dec 03;21(12):e14909. doi: 10.2196/14909.
Bumgarner JM, Lambert CT, Hussein AA, Cantillon DJ, Baranowski B, Wolski K, Lindsay BD, Wazni OM, Tarakji KG. Smartwatch algorithm for automated detection of atrial fibrillation. J Am Coll Cardiol. 2018 May 29;71(21):2381–8. doi: 10.1016/j.jacc.2018.03.003.
Dörr M, Nohturfft V, Brasier N, Bosshard EM, Djurdjevic A, Gross S, Raichle CJ, Rhinisperger M, Stöckli R, Eckstein J. The WATCH AF Trial: SmartWATCHes for detection of atrial fibrillation. JACC Clin Electrophysiol. 2019 Feb;5(2):199–208. doi: 10.1016/j.jacep.2018.10.006.
Bashar SK, Han D, Hajeb-Mohammadalipour S, Ding E, Whitcomb C, McManus DD, Chon KH. Atrial fibrillation detection from wrist photoplethysmography signals using smartwatches. Sci Rep. 2019 Oct 21;9(1):15054. doi: 10.1038/s41598-019-49092-2. doi: 10.1038/s41598-019-49092-2.10.1038/s41598-019-49092-2
Rajakariar K, Koshy A, Sajeev J, Nair S, Roberts L, Teh A. Smartwatch based arrhythmia detection: accuracy of clinician interpretation of unclassified tracings. Heart Lung Circ. 2019;28:S228. doi: 10.1016/j.hlc.2019.06.221.
Prasitlumkum N, Cheungpasitporn W, Chokesuwattanaskul A, Thangjui S, Thongprayoon C, Bathini T, Vallabhajosyula S, Kanitsoraphan C, Leesutipornchai T, Chokesuwattanaskul R. Diagnostic accuracy of smart gadgets/wearable devices in detecting atrial fibrillation: A systematic review and meta-analysis. Arch Cardiovasc Dis. 2021 Jan;114(1):4-16. doi: 10.1016/j.acvd.2020.05.015. Epub 2020 Sep 10. PMID: 32921618.
Rao P, Seshadri DR, Hsu JJ. Current and Potential Applications of Wearables in Sports Cardiology. Curr Treat Options Cardiovasc Med. 2021 Oct;23(10):65. doi: 10.1007/s11936-021-00942-1. Epub 2021 Oct 14. PMID: 36213377; PMCID: PMC9536770.
Leader N, Dorian P, Lam J, Lee C, Woo A, Chow C. Evaluation of heart rate trackers in patients with atrial fibrillation. Can J Cardiol. 2018 Oct;34(10):152–3. doi: 10.1016/j.cjca.2018.07.174.
Koshy AN, Sajeev JK, Nerlekar N, Brown AJ, Rajakariar K, Zureik M, Wong MC, Roberts L, Street M, Cooke J, Teh AW. Utility of photoplethysmography for heart rate estimation among inpatients. Intern Med J. 2018 May 02;48(5):587–91. doi: 10.1111/imj.13777.
Hindricks G, Potpara T, Dagres N, Arbelo E, Bax JJ, Blomström-Lundqvist C, Boriani G, Castella M, Dan G, Dilaveris PE, Fauchier L, Filippatos G, Kalman JM, La Meir M, Lane DA, Lebeau J, Lettino M, Lip GY, Pinto FJ, Thomas GN, Valgimigli M, Van Gelder IC, Van Putte BP, Watkins CL, ESC Scientific Document Group 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J. 2021 Feb 01;42(5):373–498. doi: 10.1093/eurheartj/ehaa612.5899003
U.S. wearable user penetration 2017, by age. Statista. 2016. [2020-09-24].
US Preventive Services Task Force. Curry SJ, Krist AH, Owens DK, Barry MJ, Caughey AB, Davidson KW, Doubeni CA, Epling JW, Kemper AR, Kubik M, Landefeld CS, Mangione CM, Silverstein M, Simon MA, Tseng CW, Wong JB. Screening for atrial fibrillation with electrocardiography: US Preventive Services Task Force recommendation statement. J Am Med Assoc. 2018 Aug 07;320(5):478–84. doi: 10.1001/jama.2018.10321.2695678
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Copyright (c) 2023 Paweł Kozieł, Maria Grodkiewicz, Klaudia Artykiewicz , Kamila Gorczyca , Marcin Czarkowski , Aleksandra Słupczyńska , Weronika Urbaś , Klaudia Podgórska , Aleksandra Puła , Urszula Krzysiek
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