ClinicalTrials.gg
CompletedNCT05167058Updated Oct 3, 2023

Electrocardiographic Diagnostic Performance of the Apple Watch Augmented With an Artificial Intelligence Algorithm

An observational study in Atrial Fibrillation, Tachycardia and Bradycardia, sponsored by Cardiologs Technologies. Completed at 3 sites in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2023-10-03.

Sponsored by Cardiologs Technologies (part of Philips) · Observational

Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
220
Ages
18 Years and older
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 993 studies in Atrial Fibrillation with a site in United States — 161 open to participants now, 220 under way, 15 of them phase 3. Atrial Fibrillation · United States.

Enrollment
144th of 308
220 · median 200
Started
2022
with 53 others
Observational
308 of 993
59 open now
Registered
757th of 993
by date

Among the 993 studies in Atrial Fibrillation with a site in United States, this one is the 144th largest by enrollment of the 308 observational ones, is one of 54 that started in 2022, is one of 308 observational ones, and was the 757th registered.

By phase

993 studies; the count open now beside each. This study's row is marked.

No phase405 · 67 open
Observationalthis study308 · 59 open
Phase 3100 · 11 open
Phase 487 · 10 open
Phase 255 · 7 open
Phase 121 · 5 open
Phase 1/29 · 2 open
Phase 2/37 · 0 open
Other kind1 · 0 open

By the year they started

First in 1989; this study’s year is marked. 54 started in 2022.

Size and results

Median enrollment 127 across the 679 interventional studies, 200 across the 308 observational. Of the 675 that completed or were terminated, 304 (45%) have results posted.

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02

Study summary

The SWAF study will compare the performance of a smartwatch combined with Cardiologs Platform algorithm in the detection of Atrial Fibrillation and other arrhythmias with that measured on a manually read 12-lead ECG in subjects hospitalized for cardioversion or AF ablation.

Read the detailed description

The SWAF study is a prospective, non-significant risk, non-randomized, multicentric, open, comparative, confirmatory study.

Under subject consent, subjects hospitalized for cardioversion or AF ablation will have a smartwatch ECG recording done simultaneously with 12-lead ECG measurement right before the intervention. If a subject is found in Normal Sinus Rhythm he/she will be discharged otherwise the patient will undergo cardioversion and will have simultaneous recordings done a second time after the intervention. All the measurements will be done in accordance with the existing subject monitoring protocol.

03

Conditions studied

  • Atrial Fibrillation
  • Tachycardia
  • Bradycardia
  • Premature Supraventricular Beat
  • Premature Ventricular Contraction
04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

200 subjects: subjects who are hospitalized for cardioversion or AF ablation procedure per standard of care

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Subjects over 18, able and willing to participate in the study
  • Subjects who are admitted to the hospital for a cardioversion or AF ablation procedure.
  • Subjects having read the patient information letter and provided his/her consent to participate in writing, by dating and signing the prior to any trial-related procedure being conducted

Exclusion criteria

Exclusion Criteria:

  • Subjects with paced rhythm or implanted electronic devices
  • Pregnant or breast-feeding subjects
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
220 participants (actual)
Patient registry
No

Interventions

  • DeviceCardiologs Platform

    Smartwatch recordings interpreted by Cardiologs AI done simultaneously with each 12-lead ECG

    Also known as: Smartwatch

06

What researchers measure

Primary outcomes

  1. Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting AF (Atrial Fibrillation or Flutter) as identified by the physician on the 12-lead ECG

    Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting AF (Atrial Fibrillation or Flutter) as identified by the physician on the 12-lead ECG in the independent annotation center, providing the ground truth from the 12-lead ECG

    Time frame: Readings taken simultaneously right before and right after the cardioversion according to the monitoring protocol at the hospital

Secondary outcomes

  1. Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting AF as identified by the physician on the smartwatch ECG

    Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting AF as identified by the physician on the smartwatch ECG in the independent annotation center, providing the ground truth from the smartwatch ECG.

    Time frame: Readings taken simultaneously right before and right after the cardioversion according to the monitoring protocol at the hospital

  2. Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Sinus Rhythm as identified by the physician on the smartwatch ECG

    Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Sinus Rhythm as identified by the physician on the smartwatch ECG in the independent annotation center, providing the ground truth from the smartwatch ECG.

    Time frame: Readings taken simultaneously right before and right after the cardioversion according to the monitoring protocol at the hospital

  3. Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Tachycardia as identified by the physician on the smartwatch ECG

    Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Tachycardia as identified by the physician on the smartwatch ECG in the independent annotation center, providing the ground truth from the smartwatch ECG.

    Time frame: Readings taken simultaneously right before and right after the cardioversion according to the monitoring protocol at the hospital

  4. Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Bradycardia as identified by the physician on the smartwatch ECG

    Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Bradycardia as identified by the physician on the smartwatch ECG in the independent annotation center, providing the ground truth from the smartwatch ECG.

    Time frame: Readings taken simultaneously right before and right after the cardioversion according to the monitoring protocol at the hospital

  5. Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Premature Supraventricular Complexes as identified by the physician on the smartwatch ECG

    Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Premature Supraventricular Complexes as identified by the physician on the smartwatch ECG in the independent annotation center, providing the ground truth from the smartwatch ECG.

    Time frame: Readings taken simultaneously right before and right after the cardioversion according to the monitoring protocol at the hospital

  6. Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Premature Ventricular Complexes as identified by the physician on the smartwatch ECG

    Evaluation of the performance of smartwatch ECG interpreted by Cardiologs Artificial Intelligence in detecting Premature Ventricular Complexes as identified by the physician on the smartwatch ECG in the independent annotation center, providing the ground truth from the smartwatch ECG.

    Time frame: Readings taken simultaneously right before and right after the cardioversion according to the monitoring protocol at the hospital

  7. Assessment of the proportion of smartwatch ECGs identified as inconclusive by Cardiologs Artificial Intelligence and by the physician

    Assessment of the proportion of smartwatch ECGs identified as inconclusive by Cardiologs Artificial Intelligence and by the physician. Inconclusive may mean that there may have been too much artefact or noise to acquire a good signal or that the rhythm is unclassifiable or contains other abnormal rhythm.

    Time frame: Readings taken simultaneously right before and right after the cardioversion according to the monitoring protocol at the hospital

07

Study locations

3 sites
  • Hackensack Meridian School of Medicine
    Hackensack, New Jersey 07601, United States
  • The Valley Hospital
    Ridgewood, New Jersey 07450, United States
  • Columbia University Medical Center/ NewYork Presbyterian Hospital
    New York, New York 10032, United States
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Apr 2022 to primary completion in Jan 2023, 8 months.

Of 148 industry-sponsored observational studies under Atrial Fibrillation, half reached primary completion within 26 months of starting (the median), counting those still running; a quarter within 14 and three quarters within 42. This study's 8 months is below that.

Counting every sponsor, half of 698 studies reached it within 38 months; a quarter within 22 and three quarters within 76.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 8, 2021
First posted
Dec 22, 2021
StartActual
Apr 21, 2022
Primary completionActual
Jan 20, 2023
CompletionActual
Mar 31, 2023
Last update
Oct 3, 2023
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Oct 3, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05167058
Responsible party
Sponsor
First posted
Dec 22, 2021
Start date
Apr 21, 2022
Primary completion
Jan 20, 2023
Completion
Mar 31, 2023
Last update
Oct 3, 2023

Study contacts

Elaine Y Wan, MD
principal investigator · Columbia University, New York

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Oct 2023. You cannot join it, but the record below documents what was studied.

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Discussion

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