Detecting Atrial Fibrillation with Smartphone Camera Heart Rate Signals
Official title: Detection of Atrial Fibrillation Using Photoplethysmography From Smartphone Cameras
Run by Happitech BV · NCT07779213 · Data updated 2026-11-12
This study tests whether a smartphone camera-based PPG algorithm can detect atrial fibrillation in adults who are being evaluated for AF, by comparing its output to a standard 12-lead ECG.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 22 Minutes and up |
| Sex | All |
| Enrollment | 554 (estimated) |
| Sponsor | Happitech BV Industry-sponsored |
| Locations | 5 sites (Jonesboro, Arkansas and 4 other locations) |
| Status | Recruiting |
| Started | June 30, 2026 |
| Main results expected | November 2026 |
| Study ends | November 2026 |
| Registry record updated | August 21, 2026 |
| Trial ID | NCT07779213 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults 22+ with a smartphone who are already seeing a cardiology clinic for suspected or known AF.
✕Probably not a fit
Patients without AF or whose AF is not detectable by the device may not receive diagnostic benefit from this specific test.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study enrolls adults 22 and older at multiple sites who own smartphones and are evaluated for AF. The Heart Rhythm Software algorithm runs on participants’ smartphones to generate AF detections from PPG signals captured via the camera, and results are compared to simultaneous 12-lead ECG measurements. The goal is to assess how well the smartphone-based method identifies AF episodes in a real-world, diverse patient population. Participants provide consent, and data are collected at sites including Nair Research, South Denver Cardiology, Tulane University, and Happitech’s collaborating centers. The study addresses the need for accessible, inexpensive AF detection tools that could support earlier diagnosis and management.
Why it matters
Potential benefit: If successful, the smartphone-based AF detection could offer a convenient, low-cost screening option to prompt timely clinical evaluation and treatment.
How similar studies have gone: Other wearable and smartphone-based methods have shown promise, but this study adds evaluation of a dedicated smartphone PPG algorithm across diverse sites.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Adults aged 22 years or older 2. Owns a smartphone and knows how to operate and navigate different applications. 3. Individuals able to read, understand, and sign the consent form. 4. Cardiology patients consulting the cardiac outpatient clinic. 5. History of persistent AF or other cardiac rhythm Exclusion Criteria: 1. Participants with cognitive impairments 2. Individuals who cannot read, speak, and/or understand English 3. Patients with implantable neurostimulators, cardiac implantable device in an atrial or ventricular paced rhythm documented on a 12-lead ECG during the initial study visit
Where it's running
-
Nair Research, LLC dba Arrhythmia Research Group LLC
Jonesboro, Arkansas, United States Recruiting -
South Denver Cardiology
Littleton, Colorado, United States Recruiting -
CardioVascular Health Clinic
Oklahoma City, Oklahoma, United States Recruiting -
Isala Zwolle
Zwolle, Overijssel, Netherlands Recruiting -
Tulane University
New Orleans, Louisiana, United States Not yet recruiting
Study contacts
- Study coordinator: Yosef Safi Harb, CEO
- Email: yosef@happitech.com
- Phone: +31 (0) 681885565
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.