Home-based videoplethysmographic detection of atrial fibrillation

摘要 房颤(房颤)的患病率估计占美国总人口的1% 各州。令人震惊的是，30%到60%的房颤患者并不知道自己的诊断(静止性房颤)。 因此，房颤患者的最佳管理是最重大的挑战之一 现代临床心脏病学。在拟议的项目中，我们将评估一个新的概念 利用基于视频的非接触式技术对患者进行监控。我们的初步结果 据透露，房颤的存在可以从个人面部的视频中检测到。我们会 评估我们的房颤检测技术，将其嵌入到可自动记录的平板电脑中 当用户处理电子邮件、浏览互联网或观看视频时，面部视频。我们会 进行一项研究，我们将招募有症状的房颤患者经历以下两种情况之一 射频消融或电复律。我们将在14天内对这些患者进行跟踪 在他们的手术后。在随访期内使用贴片连续记录心电，我们 我将评估建议的视频技术是否可以检测到这些患者房颤的早期复发 病人。该研究的主要目标是证明非约束性非接触式视频- 基于技术代表了一种强大的基于家庭的房颤检测监测技术。

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.