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Detection of Atrial Fibrillation Using PPG From Smartphone Cameras (FLASH AF)

19. august 2026 opdateret af: Happitech BV

Detection of Atrial Fibrillation Using Photoplethysmography From Smartphone Cameras

The protocol is designed to enroll patients from at least 3 diverse clinical sites with smartphones who are being evaluated for the presence or absence of atrial fibrillation (AF) using the Heart Rhythm Software algorithm running on their smartphones. Algorithm output will be compared to a gold standard of 12-lead ECG recorded with a simultaneous PPG measurement.

Studieoversigt

Status

Rekruttering

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

Atrial fibrillation (AF) is the most common sustained arrhythmia worldwide, and its prevalence is increasing and is expected to continue increasing for decades,. Detection of AF episodes may be useful for the identification of undiagnosed AF and in making clinical management decisions that include oral anticoagulation, restoration and maintenance of sinus rhythm, control of ventricular rate, and risk factor modification. Treatment of AF is associated with improvements of quality of life, stroke prevention, and reduced risk of heart failure.

Traditionally, diagnosis of AF is done using an electrocardiogram, with low amplitude or absent p-waves and narrow complex "irregularly irregular" pattern intervals seen on the ECG,. After diagnosis, there are a variety of methods that can be used to manage AF. Ambulatory ECG monitoring, implantable monitoring devices, and over-the-counter wrist-worn devices have been used to manage patients with AF,,. However, these devices are inconvenient and expensive which limits their wide adoption into clinical practice. There is an unmet clinical need for an easy to use and inexpensive over-the-counter FDA-cleared products that can detect episodes of AF in real-time and notify patients to seek out further care when AF is suspected.

Recent technological advancements have allowed for the identification of AF using smartwatches, with device manufacturers gaining over-the-counter regulatory clearance for their irregular heart rate detection algorithms,. These wrist-worn devices use a light-based measurement method called photoplethysmography (PPG) to measure changes in light absorbance and reflectance to understand changes in blood flow in superficial vasculature. The waveform generated from this measurement can be used to measure parameters like pulse rate, respiratory rate, pulse rate variability and others in addition to detecting AF. The increasing ubiquity of smartphones worldwide has led to greater availability of heart rhythm diagnostics using smartphone photoplethysmography (PPG). Smartphone camera PPG technology uses the light-emitting diode in cameras to measure pulsatile changes in light intensity that are reflected from a finger and can be used to detect AF. The widespread availability of this technology has the potential to improve the accessibility and convenience of heart rhythm monitoring, particularly in remote or underserved areas. This could result in improvements in early detection and management of AF, leading to better patient outcomes. Several smartphone PPG-based algorithms have been developed that utilize smartphones' built-in cameras to detect AF. The sensitivity and specificity of these algorithms for the detection of AF range between 81%-100% and 85%-100% respectively. However, there is a lack of evidence regarding the performance of these algorithms in detecting AF in an out-of-hospital setting using a gold-standard reference.

Happitech has developed a proprietary software development kit (SDK) that can be utilized to measure patients' cardiovascular parameters and identify potential pathologies including AF. Happitech's algorithm requires users to place a digit directly against their phone camera, and the camera and underlying algorithm detect subtle differences in blood flow to calculate physiological parameters for monitoring and clinical use.

The purpose of this study is to validate the performance of Happitech's PPG-based algorithm for the detection of AF against a 12-lead ECG in a diverse population of patients including cardiology patients being evaluated as inpatients or at a cardiology clinic visit.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

554

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Undersøgelse Kontakt Backup

Studiesteder

    • Arkansas
      • Jonesboro, Arkansas, Forenede Stater, 72401
        • Rekruttering
        • Nair Research, LLC dba Arrhythmia Research Group LLC
        • Kontakt:
        • Ledende efterforsker:
          • Devi Nair, Doctor
    • Colorado
      • Littleton, Colorado, Forenede Stater, 80210
        • Rekruttering
        • South Denver Cardiology
        • Kontakt:
        • Ledende efterforsker:
          • Srikanth Sundaram, Doctor
    • Louisiana
      • New Orleans, Louisiana, Forenede Stater, 70112
        • Ikke rekrutterer endnu
        • Tulane University
        • Kontakt:
          • Kunal Sameer, Associate Director of Ops
          • Telefonnummer: 203-285-5666
          • E-mail: ksameer@tulane.edu
        • Ledende efterforsker:
          • Nassair Marrouchi, Doctor
    • Oklahoma
      • Oklahoma City, Oklahoma, Forenede Stater, 73134
        • Rekruttering
        • CardioVascular Health Clinic
        • Kontakt:
        • Ledende efterforsker:
          • Monica Lo, Doctor
    • Overijssel
      • Zwolle, Overijssel, Holland, 8025 AB
        • Rekruttering
        • Isala Zwolle
        • Kontakt:
        • Ledende efterforsker:
          • Sebastien Krul, Doctor

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Barn
  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

Ingen

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

Male and female patients aged 22 years or older who are cardiology patients consulting the cardiac outpatient clinic, 50% of whom have a rhythm of atrial fibrillation at the time of enrollment, and own a smartphone.

Beskrivelse

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

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Kohorter og interventioner

Gruppe / kohorte
Intervention / Behandling
Sinus Rhythm
Patient visiting the Cardiology Clinic in Sinus Rhythm
12 Lead ECG is compared to a smartphone based PPG
Atrial Fibrillation
Patient visiting the Cardiology Clinic in Atrial Fibrillation
12 Lead ECG is compared to a smartphone based PPG
Other
Patient visiting the Cardiology Clinic with neither Sinus Rhythm or Atrial Fibrillation
12 Lead ECG is compared to a smartphone based PPG

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
To evaluate the sensitivity and specificity of the Heart Rhythm Software
Tidsramme: Through study completion, an average of 6 months

To evaluate the sensitivity and specificity of the Heart Rhythm Software algorithm running on a commercially available smartphone to detect atrial fibrillation segments using photoplethysmography (PPG) as measured through the phone's camera.

Se is defined as the percentage of patients with 90 second interval recordings scored by the Heart Rhythm Software algorithm as AF, out of all intervals determined by the Clinical Adjudication Committee (CAC) to be AF (gold standard).

Sp is defined as the percentage of patients with 90 second intervals scored by the Heart Rhythm Software algorithm as NSR out of all ECG recordings determined by the CAC to be NSR.

Through study completion, an average of 6 months

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Sensitivity & Specificity across subgroups
Tidsramme: through study completion, an average of 6 months
The accuracy of the Happitech Heart Rhythm Software algorithm in detecting irregular rhythm suspected of AF and regular rhythm suspected normal sinus rhythm will be further investigated in subgroups defined by ethnicity, race, BMI, age group, smartphone type, and Fitzpatrick scale score. The sensitivity and specificity will be presented as an estimate and associated 95% CI's, as well as a Chi-square or Fisher's Exact p-value to assess if all levels of the subgroup are homogeneous.
through study completion, an average of 6 months

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

30. juni 2026

Primær færdiggørelse (Anslået)

1. november 2026

Studieafslutning (Anslået)

1. november 2026

Datoer for studieregistrering

Først indsendt

11. august 2026

Først indsendt, der opfyldte QC-kriterier

19. august 2026

Først opslået (Faktiske)

21. august 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

21. august 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

19. august 2026

Sidst verificeret

1. august 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • HAPP-CTP-FDA-2025-002

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

UBESLUTET

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Ingen

Studerer et amerikansk FDA-reguleret enhedsprodukt

Ja

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Ingen

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