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Apple Heart Study: Assessment of Wristwatch-Based Photoplethysmography to Identify Cardiac Arrhythmias

Apple Heart Study: Assessment of Wristwatch-Based Photoplethysmography to Identify Cardiac Arrhythmias

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03335800
Enrollment
419927
Registered
2017-11-08
Start date
2017-11-29
Completion date
2019-02-21
Last updated
2020-03-30

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

Conditions

Arrhythmias, Cardiac, Atrial Fibrillation, Atrial Flutter

Brief summary

The Apple Heart Study (AHS) is a research study conducted to evaluate whether the Apple Heart Study App can use data collected on the Apple Watch to identify irregular heart rhythms, including those from potentially serious heart conditions such as atrial fibrillation. Up to 500,000 can participate in the study.

Interventions

DEVICEApple Heart Study App

The Apple Heart Study app is a mobile medical app that analyzes pulse rate data. The app identifies episodes of irregular heart rhythms consistent with atrial fibrillation and other arrhythmias.

Sponsors

Stanford University
CollaboratorOTHER
Apple Inc.
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE

Eligibility

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

Inclusion criteria

Possession of the following at time of eligibility screening, ascertained from automatic hardware/software/device pairing check: * iPhone (5s or later) with iOS version 11.0 or later defined as iPhone model/iOS version used to complete screening eligibility. * Apple Watch (Series 1 or later) with watchOS version 4.0 or later defined as Apple Watch model/watchOS paired with iPhone used to complete screening eligibility. * Current resident of the United States at time of eligibility screening, defined by self-reported state of residence within the 50 states of the United States or District of Columbia. * Proficient in written and spoken English, defined by self-report of comfort reading, writing, and speaking English on iPhone. * Valid phone number associated with iPhone, ascertained from self-report. * Valid email address, ascertained from self-report.

Exclusion criteria

* Self-reported diagnosis of Atrial Fibrillation. * Self-reported diagnosis of Atrial Flutter. * Currently on anti-coagulation therapy.

Design outcomes

Primary

MeasureTime frameDescription
Atrial Fibrillation (AF) of Greater Than 30 SecondsDuring ambulatory ECG monitoring (up to 8 days)Proportion of notified participants who received an irregular pulse notification and that had AF detected on the ambulatory ECG.
Confirmed AF With a Detection by a Component of the AppDuring ambulatory ECG monitoring (up to 8 days)Simultaneous ambulatory ECG monitoring indicating an irregular rhythm consistent with AF during time intervals when an app component (tachogram) is positive for an irregular pulse among those who received an irregular heartbeat notification.

Secondary

MeasureTime frameDescription
Concordant AF With App Algorithm NotificationDuring ambulatory ECG monitoring (up to 8 days)Simultaneous ambulatory ECG monitoring indicating an irregular rhythm consistent with AF when the app based algorithm is positive for an irregular pulse among those who received a notification.
Self-reported Contact With a Health Care Provider90 days to 15 monthsPercentage of participant who self-reported contact with a health care provider within 90 days following an irregular pulse watch notification. Participants could self-report this health-care provider contact from 90 days following notification until the study survey went offline at end of study.

Countries

United States

Participant flow

Recruitment details

Participants downloaded the app; those with irregular pulse notification had a first teleconference visit with telehealth provider; an ECG patch was shipped to eligible participants to wear for 7 days, then they returned the patch for analysis and had a second teleconference visit to review the findings with the telehealth provider.

Participants by arm

ArmCount
Apple Heart Study (AHS) App Users
Participants used the AHS App to detect episodes of irregular heart rhythms consistent with atrial fibrillation and other arrhythmias.
419,927
Total419,927

Baseline characteristics

CharacteristicApple Heart Study (AHS) App Users
Age, Continuous41 years
STANDARD_DEVIATION 13
Race/Ethnicity, Customized
American Indian
4696 Participants
Race/Ethnicity, Customized
Asian
26156 Participants
Race/Ethnicity, Customized
Black
32275 Participants
Race/Ethnicity, Customized
Hispanic
48775 Participants
Race/Ethnicity, Customized
Middle Eastern
3652 Participants
Race/Ethnicity, Customized
Not Reported
8102 Participants
Race/Ethnicity, Customized
Other or mixed race
7958 Participants
Race/Ethnicity, Customized
Pacific Islander
1493 Participants
Race/Ethnicity, Customized
White
286190 Participants
Region of Enrollment
United States
419927 Participants
Sex/Gender, Customized
Female
177087 Participants
Sex/Gender, Customized
Male
238700 Participants
Sex/Gender, Customized
Not Reported
3114 Participants
Sex/Gender, Customized
Other
396 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
2 / 419,927
other
Total, other adverse events
0 / 419,927
serious
Total, serious adverse events
62 / 419,927

Outcome results

Primary

Atrial Fibrillation (AF) of Greater Than 30 Seconds

Proportion of notified participants who received an irregular pulse notification and that had AF detected on the ambulatory ECG.

Time frame: During ambulatory ECG monitoring (up to 8 days)

Population: Participant who returned ECG Patch

ArmMeasureValue (NUMBER)
Apple Heart Study (AHS) App UsersAtrial Fibrillation (AF) of Greater Than 30 Seconds0.34 Proportion of participants
Primary

Confirmed AF With a Detection by a Component of the App

Simultaneous ambulatory ECG monitoring indicating an irregular rhythm consistent with AF during time intervals when an app component (tachogram) is positive for an irregular pulse among those who received an irregular heartbeat notification.

Time frame: During ambulatory ECG monitoring (up to 8 days)

ArmMeasureValue (NUMBER)
Apple Heart Study (AHS) App UsersConfirmed AF With a Detection by a Component of the App0.71 Proportion of Tachograms with AF
Secondary

Concordant AF With App Algorithm Notification

Simultaneous ambulatory ECG monitoring indicating an irregular rhythm consistent with AF when the app based algorithm is positive for an irregular pulse among those who received a notification.

Time frame: During ambulatory ECG monitoring (up to 8 days)

ArmMeasureValue (NUMBER)
Apple Heart Study (AHS) App UsersConcordant AF With App Algorithm Notification0.84 Proportion of Participants
Secondary

Self-reported Contact With a Health Care Provider

Percentage of participant who self-reported contact with a health care provider within 90 days following an irregular pulse watch notification. Participants could self-report this health-care provider contact from 90 days following notification until the study survey went offline at end of study.

Time frame: 90 days to 15 months

ArmMeasureValue (NUMBER)
Apple Heart Study (AHS) App UsersSelf-reported Contact With a Health Care Provider57 Percentage of participants

Source: ClinicalTrials.gov · Data processed: Mar 5, 2026