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临床试验/NCT07154303
NCT07154303Enrolling By Invitation不适用

Smartphone-Based Use of Phonocardiography, Electrocardiography Accessory, and/or Facial Photoplethysmography to Detect Atrial Fibrillation: Diagnostic Performance Study

The University of Hong Kong1 个研究点 分布在 1 个国家目标入组 209 人开始时间: 2025年8月27日最近更新:

试验速览

阶段
不适用
状态
Enrolling By Invitation
入组人数
209
试验地点
1
主要终点
Differentiation of Atrial Fibrillation from Sinus Rhythm in Heart Sound Recordings

研究概览

简要总结

The purpose of this 4-in-1 observational study is to test the performance of artificial intelligences (AIs) in distinguishing irregularly irregular heart rhythm called atrial fibrillation (AF) from normal heart rhythm using physiological signals collected by smartphones' built-in hardware and/or external accessories.

Participants will:

  • Have their weight, height, resting heart rate and blood pressures measured
  • Have 12-lead electrocardiogram (ECG) of their heart electrical activities recorded
  • Have their heart sounds and 1-lead ECG recorded from their chest, and optical-based blood flow data (photoplethysmography or PPG) and 1-lead ECG recorded from their fingers using smartphones' built-in microphone, camera, and/or external accessories
  • Optionally have their optical-based blood flow data recorded from their face using smartphones' built-in camera (remote PPG or rPPG).

The researchers will also create a database containing the physiological signals collected in this study along with the participants' medically relevant information to help train and test future AIs for medical applications.

详细描述

4 observational studies have been combined into 1 observational study to share the same pool of participants. These 4 studies are designated as AUSC-AF, ECG-AF, AUSC+ECG-AF, and rPPG-AF corresponding to the signal modality/modalities used for AF detection (see outcome measures) and designated as AUSC/ECG/rPPG-AF when combined as 1 study.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Cross Sectional

入排标准

年龄范围
22 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Age: ≥22 years (adult)
  • Patients who have one of the following:
  • Permanent atrial fibrillation, or
  • Long-standing persistent atrial fibrillation (12 months or longer), or
  • Confirmed 12-lead ECG diagnosis for persistent atrial fibrillation (> 7 days) or sinus rhythm within 12 months at the time of their normal attendance at the hospital

排除标准

  • Any of the following:
  • Implanted active medical devices in the torso, such as pacemakers and defibrillators
  • Patients without atrial fibrillation who have another arrhythmia
  • Completely missing one or more limbs, or missing any hand
  • Disability in using their hands or arms
  • Lack of both index fingers, or all fingers in any hand
  • Both index fingers with any of the following characteristics:
  • Tattooed/inked
  • Reduced blood flow in the fingertip (e.g. perniosis or callus formation)

结局指标

主要结局

Differentiation of Atrial Fibrillation from Sinus Rhythm in Heart Sound Recordings

时间窗: Day 0

AUSC-AF: Identification of atrial fibrillation (AF) from sinus rhythm in recorded heart sounds (phonocardiogram \[PCG\]) as verified by the gold standard 12-lead electrocardiography (ECG) interpretation, measured in the form of sensitivity and specificity.

次要结局

  • Differentiation of Atrial Fibrillation from Sinus Rhythm in Heart Sound Recordings(Day 0)
  • Differentiation of Atrial Fibrillation from Sinus Rhythm in PCG and 1-Lead ECG Signals(Day 0)
  • Differentiation of Atrial Fibrillation from Sinus Rhythm in 1-Lead ECG Signals(Day 0)
  • Differentiation of Atrial Fibrillation from Sinus Rhythm in Facial Photoplethysmography Signals(Day 0)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Wong Chun Ka

Clinical Assistant Professor

The University of Hong Kong

研究点 (1)

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