Skip to content

Observational Clinical Investigation of EKG Diagnostic Performance of the Apple Watch Augmented With an AI Algorithm

Investigation Clinique Observationnelle Des Performances de Diagnostic Electrocardiographique de l'Apple Watch (App ECG Version 2.0) augmentée d'un Algorithme d'Intelligence Artificielle

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05045456
Enrollment
200
Registered
2021-09-16
Start date
2021-11-09
Completion date
2022-02-23
Last updated
2022-03-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atrial Fibrillation

Brief summary

This observational prospective clinical investigation will evaluate the performance on an Artificial Intelligence (AI) solution interpreting ECG (electrocardiogram) collected from an Apple Watch (AI-AW) in the detection of Atrial Fibrillation (AF)

Detailed description

Each patient hospitalized for ablation or cardioversion and having given consent to participate in the clinical investigation will have ECG recordings by Apple Watch performed simultaneously with a 12D ECG measurement by a cardiologist before and/or after treatment, in accordance with the existing patient monitoring protocol. Similarly, patients attending a rhythmology consultation or hospitalized in the cardiology department will have simultaneous ECG recordings with an Apple Watch during the scheduled routine 12D ECG recording.

Interventions

Two Apple Watch recordings (one recording with the watch on the wrist and one on the left side of the abdomen) interpreted by Cardiologs AI done simultaneously with each 12-lead ECG

Sponsors

Cardiologs Technologies
Lead SponsorINDUSTRY

Study design

Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
22 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patient aged 22 or older, able and willing to participate in the study * Patient admitted to hospital for ablation, cardioversion or cardiac electrophysiological exploration or who comes for regular rhythmology consultations or hospitalized in cardiology department * Patient who has read the information note and has given his or her consent before any procedure related to the study * Patient affiliated to social security

Exclusion criteria

* Pregnant or breastfeeding women * Patient with a pacemaker, implantable defibrillator or cardiac resynchronisation therapy device. * Subject related to the investigator or any other staff member directly involved in the conduct of the study * Patient incapable of giving consent, minor or adult patient protected by law

Design outcomes

Primary

MeasureTime frameDescription
Performance of AF detection1 dayPerformance of AF detection by an artificial intelligence (AI) solution interpreting ECG collected via Apple Watches (AI-AW), compared to physician's diagnosis from the 12 leads ECG

Secondary

MeasureTime frameDescription
AW versus AI-AW1 dayComparison of Apple Watch (AW) and AI-AW AF detection performance
AI-AW versus AI-12lead1 dayComparison of the performance of AF detection by AI-AW and AI applied to the 12-lead ECG

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026