Home-based videoplethysmographic detection of atrial fibrillation

心房颤动的家庭视频体积描记检测

基本信息

批准号：
9356762
负责人：
JEAN-PHILIPPE Y COUDERC
金额：
$ 49.95万
依托单位：
UNIVERSITY OF ROCHESTER
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-07-10 至 2021-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9356762
关键词：
Ablation Affect Aging Anticoagulation Arrhythmia Atrial Fibrillation Blood Blood Volume Cardiology Clinical Congestive Heart Failure Data Data Set Detection Devices Diagnosis Diagnostic Procedure Disease Disease Progression Early Diagnosis Electric Countershock Electrocardiogram Electronic Mail Enrollment Evaluation Event Face Feasibility Studies Flushing General Population Goals Health Healthcare Heart Home environment Hospitalization Hospitals Hour Individual Internet Lead Learning Measures Modernization Monitor Patient Monitoring Patients Performance Physicians Physiologic pulse Prevalence Probability Procedures Process Protocols documentation Pulse Rates Quality of life Radiofrequency Catheter Ablation Radiofrequency Interstitial Ablation Recurrence Resources Risk Factors Shock Signal Transduction Sinus Skin Specificity Symptoms Tablet Computer Tablets Techniques Technology Time United States Validation Variant Video Recording Work base burden of illness clinical practice cohort cost cost efficient follow-up health care service utilization health economics heart rhythm improved interest mortality novel outcome forecast skin color

项目摘要

Abstract Atrial fibrillation (AF) prevalence is estimated to 1% of the general population in the United States. A shocking 30% to 60% of patients with AF are unaware of their diagnosis (silent AF). Therefore, optimal management of AF patients represents one of the most significant challenges of modern clinical cardiology. In the proposed project, we will evaluate a novel concept of patient monitoring utilizing a contactless video-based technology. Our preliminary results revealed that the presence of AF can be detected from the video of an individual's face. We will evaluate our AF detection technology when embedded into a tablet that automatically record facial videos when the user works on email, browses the internet or watches videos. We will conduct a study in which we will enroll symptomatic AF patients going through either radiofrequency ablation or electrical cardioversion. We will follow these patients during 14 days after their procedure. Using a patch continuously recording ECG during the follow-up period, we will evaluate if the proposed video technology can detect the early recurrence of AF in these patients. The primary goal of the study is to demonstrate that non-constraining contactless video- based technology represents a robust home-based monitoring technology for AF detection.

抽象的心房颤动（AF）患病率估计为联合的总人群的1％国家。令人震惊的30％至60％的AF患者没有意识到自己的诊断（无声AF）。因此，AF患者的最佳管理代表了最重大的挑战之一现代临床心脏病学。在拟议的项目中，我们将评估一个新颖的概念使用基于非接触式视频的技术，患者监视。我们的初步结果发现可以从个人脸部的视频中检测到AF的存在。我们将嵌入到自动记录的平板电脑中时，评估我们的AF检测技术当用户处理电子邮件时，浏览互联网或观看视频时，面部视频。我们将进行一项研究，我们将注册有症状的AF患者。射频消融或电静脉反应。我们将在14天内关注这些患者在他们的程序之后。在随访期间，使用补丁连续记录ECG，我们将评估提出的视频技术是否可以检测到AF的早期复发患者。该研究的主要目的是证明非限制的非接触式视频 - 基于基于的技术是一种强大的基于家庭的监测技术，用于AF检测。