Validation of an algorithm for continuous monitoring of atrial fibrillation using a consumer smartwatch.

Background: Consumer devices with broad reach may be useful in screening for atrial fibrillation (AF) in appropriate populations. However, currently no consumer devices are capable of continuous monitoring for AF.Objective: The purpose of this study was to estimate the sensitivity and specificity of...

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Publicado en:Heart Rhythm Vol. 18; no. 9; pp. 1482 - 1491
Autores principales: Avram, Robert, Ramsis, Mattheus, Cristal, Ashley D., Nathan, Viswam, Zhu, Li, Kim, Jacob, Kuang, Jilong, Gao, Alex, Vittinghoff, Eric, Rohdin-Bibby, Linnea, Yogi, Sara, Seremet, Emina, Carp, Valerie, Badilini, Fabio, Pletcher, Mark J., Marcus, Gregory M., Mortara, David, Olgin, Jeffrey E.
Formato: research Journal Article
Publicado: Elsevier B.V. Sep2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2021
      vid: 18
      iid: 9
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      pub: Elsevier B.V.
      place: New York, New York
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        10.1016/j.hrthm.2021.03.044
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        atl: Validation of an algorithm for continuous monitoring of atrial fibrillation using a consumer smartwatch.
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        au:
          Avram, Robert
          Ramsis, Mattheus
          Cristal, Ashley D.
          Nathan, Viswam
          Zhu, Li
          Kim, Jacob
          Kuang, Jilong
          Gao, Alex
          Vittinghoff, Eric
          Rohdin-Bibby, Linnea
          Yogi, Sara
          Seremet, Emina
          Carp, Valerie
          Badilini, Fabio
          Pletcher, Mark J.
          Marcus, Gregory M.
          Mortara, David
          Olgin, Jeffrey E.
        affil: Division of Cardiology, University of California San Francisco, San Francisco, California
      sug:
        subj:
          Monitoring, Physiologic Equipment and Supplies
          Electrocardiography Methods
          Plethysmography Equipment and Supplies
          Atrial Fibrillation Diagnosis
          Algorithms
          Telemedicine Equipment and Supplies
          Equipment Design
          Retrospective Design
          Male
          Aged
          Female
          Human
          Prospective Studies
          Atrial Fibrillation Physiopathology
          Comparative Studies
          Multicenter Studies
          Evaluation Research
          Validation Studies
          Aged: 65+ years
          Male
          Female
      ab: Background: Consumer devices with broad reach may be useful in screening for atrial fibrillation (AF) in appropriate populations. However, currently no consumer devices are capable of continuous monitoring for AF.Objective: The purpose of this study was to estimate the sensitivity and specificity of a smartwatch algorithm for continuous detection of AF from sinus rhythm in a free-living setting.Methods: We studied a commercially available smartwatch with photoplethysmography (W-PPG) and electrocardiogram (W-ECG) capabilities. We validated a novel W-PPG algorithm combined with a W-ECG algorithm in a free-living setting, and compared the results to those of a 28-day continuous ECG patch (P-ECG).Results: A total of 204 participants completed the free-living study, recording 81,944 hours with both P-ECG and smartwatch measurements. We found sensitivity of 87.8% (95% confidence interval [CI] 83.6%-91.0%) and specificity of 97.4% (95% CI 97.1%-97.7%) for the W-PPG algorithm (every 5-minute classification); sensitivity of 98.9% (95% CI 98.1%-99.4%) and specificity of 99.3% (95% CI 99.1%-99.5%) for the W-ECG algorithm; and sensitivity of 96.9% (95% CI 93.7%-98.5%) and specificity of 99.3% (95% CI 98.4%-99.7%) for W-PPG triggered W-ECG with a single W-ECG required for confirmation of AF. We found a very strong correlation of W-PPG in quantifying AF burden compared to P-ECG (r = 0.98).Conclusion: Our findings demonstrate that a novel algorithm using a commercially available smartwatch can continuously detect AF with excellent performance and that confirmation with W-ECG further enhances specificity. In addition, our W-PPG algorithm can estimate AF burden. Further research is needed to determine whether this algorithm is useful in screening for AF in select at-risk patients.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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