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Review
. 2025 Apr 30;25(9):2848.
doi: 10.3390/s25092848.

Wearable Devices for Arrhythmia Detection: Advancements and Clinical Implications

Ahmed Abdelrazik  1   2   3 , Mahmoud Eldesouky  1   2 , Ibrahim Antoun  1 , Edward Y M Lau  1   2 , Abdulmalik Koya  1 , Zakariyya Vali  1   2 , Safiyyah A Suleman  1 , James Donaldson  1 , G André Ng  1   2   3   4
Affiliations
Review

Wearable Devices for Arrhythmia Detection: Advancements and Clinical Implications

Ahmed Abdelrazik et al. Sensors (Basel). .

Abstract

Cardiac arrhythmias are a growing global health concern, and the need for accessible, continuous monitoring has driven rapid advancements in wearable technologies. This review explores the evolution, capabilities, and clinical impact of modern wearables for arrhythmia detection, including smartwatches, smart rings, ECG patches, and smart textiles. In light of the recent surge in commercially available wearables across all categories, this review offers a detailed comparative analysis of leading devices, evaluating cost, regulatory approval, model specifications, and system compatibility. Smartwatches and patches, in particular, show a strong performance in atrial fibrillation detection, with patches outperforming Holter monitors in long-term monitoring and diagnostic yield. This review highlights a paradigm shift toward patient-initiated diagnostics but also discusses challenges such as false positives, regulatory gaps, and healthcare integration. Overall, wearable devices hold significant promise for reshaping arrhythmia management through early detection and remote monitoring.

Keywords: arrhythmia; arrhythmia detection; wearable devices.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
String galvanometer machine recording ECG.
Figure 2
Figure 2
Old Holter monitor unit showing tape recorder, electrodes, and carrying case.
Figure 3
Figure 3
Wearable devices inverted the paradigm of healthcare delivery.
Figure 4
Figure 4
Demonstrating the process of AF detection using a smartwatch.
See this image and copyright information in PMC

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