The University of Southampton
University of Southampton Institutional Repository

Diagnostic performance of single-lead electrocardiograms from a smartwatch and a smartring for cardiac arrhythmia detection

Diagnostic performance of single-lead electrocardiograms from a smartwatch and a smartring for cardiac arrhythmia detection
Diagnostic performance of single-lead electrocardiograms from a smartwatch and a smartring for cardiac arrhythmia detection
Background: wearable devices are widely used for atrial fibrillation (AF) detection, yet most validation studies include only sinus rhythm or AF, likely overestimating diagnostic performance.

Objective: this multicenter study assessed the performance of automated AF detection and physician interpretation of single-lead electrocardiograms (SL-ECGs) from the Apple Watch and CART Ring.

Methodology: participants underwent simultaneous 12-lead ECG and SL-ECGs from Apple Watch and CART Ring. Two cardiologists independently adjudicated all ECGs. Apple Watch and CART Ring classified recordings as “AF,” “Not AF,” or “Unclassified.” Diagnostic performance for automated AF detection was evaluated in “worst-case” (all SL-ECGs) and lenient (excluding unclassified SL-ECGs) scenarios. Physician interpretation of SL-ECGs was also compared to 12-lead ECG.

Results: among 483 patients (median age, 66 years; 29% female), 196 (39%) had AF across 3 United Kingdom centers. A total of 2398 ECGs were analyzed. Interobserver variability was excellent (Cohen’s kappa: Apple Watch, 0.85; CART Ring, 0.84). In the “worst-case” analysis, CART Ring outperformed Apple Watch (sensitivity, 84.6% vs 69.1%; specificity, 89.9% vs 72.6%). Apple Watch had more unclassified SL-ECGs (20.1%) than CART Ring (1.9%). The lenient analysis showed an improvement in sensitivity (CART Ring, 84.8 %; Apple Watch, 86.4%) and specificity (CART Ring, 91.2%; Apple Watch, 91.7%). Physician interpretation improved diagnostic performance for AF and sinus rhythm but remained limited for other arrhythmias.

Conclusion: Apple Watch missed approximately 1 in 3 episodes of AF and a high number of unclassified SL-ECG. CART Ring demonstrated superior performance. Physician interpretation significantly improved AF diagnosis but remained unreliable for other arrhythmias, emphasizing the need for cautious integration of wearable ECGs into clinical practice.
Ambulatory monitoring, Apple watch, Atrial fibrillation, CART ring, Digital health, Electrocardiogram, Wearable devices, mHealth
808-817
Rodrigues Pontes Briosa E Gala, Andre
409c30a8-0696-4426-9f9b-2539af465dbd
Sharp, Alexander James
9261cde2-ef6b-4922-aeb8-b8c77ca9c5d0
Schraam, David
225522b4-7789-4a1d-92f9-540f0a9d45ae
Pope, Michael Timothy Bryan
4e7343b7-a8c4-4ce4-a813-ff0d894b0f92
Leo, Milena
3556e3e0-418a-45c6-9259-ebb77096b34e
Varini, Richard
1c4158e9-951b-4efc-9155-f5b0bd63db75
Banerjee, Abhirup
db54813c-c926-4daa-90dd-d5d69764daca
Win, Kyaw Zaw
49ad4a65-c079-472c-aba3-83471c67cd95
Kalla, Manish
01034eba-06ac-433e-b420-0727520f753a
Paisey, John
b1f1229b-a681-4117-bcd7-bc80210bd85b
Curzen, Nick
70f3ea49-51b1-418f-8e56-8210aef1abf4
Betts, Timothy Rider
ddd6271a-7c72-43bc-80f6-7cfd99402c9c
Rodrigues Pontes Briosa E Gala, Andre
409c30a8-0696-4426-9f9b-2539af465dbd
Sharp, Alexander James
9261cde2-ef6b-4922-aeb8-b8c77ca9c5d0
Schraam, David
225522b4-7789-4a1d-92f9-540f0a9d45ae
Pope, Michael Timothy Bryan
4e7343b7-a8c4-4ce4-a813-ff0d894b0f92
Leo, Milena
3556e3e0-418a-45c6-9259-ebb77096b34e
Varini, Richard
1c4158e9-951b-4efc-9155-f5b0bd63db75
Banerjee, Abhirup
db54813c-c926-4daa-90dd-d5d69764daca
Win, Kyaw Zaw
49ad4a65-c079-472c-aba3-83471c67cd95
Kalla, Manish
01034eba-06ac-433e-b420-0727520f753a
Paisey, John
b1f1229b-a681-4117-bcd7-bc80210bd85b
Curzen, Nick
70f3ea49-51b1-418f-8e56-8210aef1abf4
Betts, Timothy Rider
ddd6271a-7c72-43bc-80f6-7cfd99402c9c

Rodrigues Pontes Briosa E Gala, Andre, Sharp, Alexander James, Schraam, David, Pope, Michael Timothy Bryan, Leo, Milena, Varini, Richard, Banerjee, Abhirup, Win, Kyaw Zaw, Kalla, Manish, Paisey, John, Curzen, Nick and Betts, Timothy Rider (2025) Diagnostic performance of single-lead electrocardiograms from a smartwatch and a smartring for cardiac arrhythmia detection. Heart Rhythm O2, 6 (6), 808-817. (doi:10.1016/j.hroo.2025.03.019).

Record type: Article

Abstract

Background: wearable devices are widely used for atrial fibrillation (AF) detection, yet most validation studies include only sinus rhythm or AF, likely overestimating diagnostic performance.

Objective: this multicenter study assessed the performance of automated AF detection and physician interpretation of single-lead electrocardiograms (SL-ECGs) from the Apple Watch and CART Ring.

Methodology: participants underwent simultaneous 12-lead ECG and SL-ECGs from Apple Watch and CART Ring. Two cardiologists independently adjudicated all ECGs. Apple Watch and CART Ring classified recordings as “AF,” “Not AF,” or “Unclassified.” Diagnostic performance for automated AF detection was evaluated in “worst-case” (all SL-ECGs) and lenient (excluding unclassified SL-ECGs) scenarios. Physician interpretation of SL-ECGs was also compared to 12-lead ECG.

Results: among 483 patients (median age, 66 years; 29% female), 196 (39%) had AF across 3 United Kingdom centers. A total of 2398 ECGs were analyzed. Interobserver variability was excellent (Cohen’s kappa: Apple Watch, 0.85; CART Ring, 0.84). In the “worst-case” analysis, CART Ring outperformed Apple Watch (sensitivity, 84.6% vs 69.1%; specificity, 89.9% vs 72.6%). Apple Watch had more unclassified SL-ECGs (20.1%) than CART Ring (1.9%). The lenient analysis showed an improvement in sensitivity (CART Ring, 84.8 %; Apple Watch, 86.4%) and specificity (CART Ring, 91.2%; Apple Watch, 91.7%). Physician interpretation improved diagnostic performance for AF and sinus rhythm but remained limited for other arrhythmias.

Conclusion: Apple Watch missed approximately 1 in 3 episodes of AF and a high number of unclassified SL-ECG. CART Ring demonstrated superior performance. Physician interpretation significantly improved AF diagnosis but remained unreliable for other arrhythmias, emphasizing the need for cautious integration of wearable ECGs into clinical practice.

Text
WEAR-TECH manuscript_final_1.3.25_R1_clean - Accepted Manuscript
Download (1MB)
Text
1-s2.0-S2666501825001205-main - Version of Record
Download (1MB)

More information

Accepted/In Press date: 23 March 2025
e-pub ahead of print date: 26 March 2025
Published date: 26 March 2025
Additional Information: Publisher Copyright: © 2025 Heart Rhythm Society
Keywords: Ambulatory monitoring, Apple watch, Atrial fibrillation, CART ring, Digital health, Electrocardiogram, Wearable devices, mHealth

Identifiers

Local EPrints ID: 501107
URI: http://eprints.soton.ac.uk/id/eprint/501107
PURE UUID: c3f09117-9b41-42f7-8afd-6b99db6cbe05
ORCID for Andre Rodrigues Pontes Briosa E Gala: ORCID iD orcid.org/0000-0002-9145-6374
ORCID for Nick Curzen: ORCID iD orcid.org/0000-0001-9651-7829

Catalogue record

Date deposited: 23 May 2025 16:55
Last modified: 17 Sep 2025 02:08

Export record

Altmetrics

Contributors

Author: Andre Rodrigues Pontes Briosa E Gala ORCID iD
Author: Alexander James Sharp
Author: David Schraam
Author: Michael Timothy Bryan Pope
Author: Milena Leo
Author: Richard Varini
Author: Abhirup Banerjee
Author: Kyaw Zaw Win
Author: Manish Kalla
Author: John Paisey
Author: Nick Curzen ORCID iD
Author: Timothy Rider Betts

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×