Real-world evidence for passive video-based cardiac monitoring from smartphones used by patients with a history of AF

IF 1.3 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Journal of electrocardiology Pub Date : 2024-12-26 DOI:10.1016/j.jelectrocard.2024.153860
J.-P. Couderc, A. Page, M. Lutz, T. Pham, G.R. Tsouri, B. Hall
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Abstract

Passive cardiac monitoring has become synonymous with wearable technologies, necessitating patients to incorporate new devices into their daily routines. While this requirement may not be a burden for many, it is a constraint for individuals with chronic diseases who already have their daily routine. In this study, we introduce an innovative technology that harnesses the front-facing camera of smartphones to capture pulsatile signals discreetly when users engage in other activities on their device.
We conducted a clinical study to gather real world evidence that passive video-based cardiac monitoring is feasible and it can be used to gather daily information about cardiac status of patients with a history of atrial fibrillation (AF). The study involved 16 patients who used an application called HealthKam AFib (HK) on their Android smartphone for a period of 14 days. They also wore an ECG patch during the first 7 days that was used as a reference device. Subjects were asked to also perform self testing procedures using video selfies twice a day, but measurements were also collected in the background during normal device usage. The 16 subjects had the HK app installed on their device during an average time period of 12.8±2.3 days. On average, the measurement rate was 2.1±1.6 measurements per hour of utilization of the smartphone. Heart rate measurements were found to be highly accurate, with a mean error equal to −0.3 bpm. The study revealed that passive facial video monitoring collected reliable data in real-world conditions.
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有房颤史的患者使用智能手机进行被动视频心脏监测的真实证据。
被动心脏监测已成为可穿戴技术的代名词,患者必须将新设备纳入日常生活。虽然这一要求对许多人来说可能不是负担,但对于已经有了自己日常生活习惯的慢性病患者来说,却是一种限制。在本研究中,我们介绍了一种创新技术,该技术利用智能手机的前置摄像头,在用户使用设备进行其他活动时悄悄捕捉脉动信号。我们进行了一项临床研究,以收集现实世界的证据,证明基于被动视频的心脏监测是可行的,而且可以用于收集有心房颤动(房颤)病史的患者的日常心脏状态信息。这项研究涉及 16 名患者,他们在安卓智能手机上使用了一款名为 HealthKam AFib (HK) 的应用程序,为期 14 天。在前 7 天,他们还佩戴了一个心电图贴片作为参考设备。受试者还被要求每天两次使用视频自拍进行自我测试,但测量结果也是在正常使用设备时在后台收集的。16 名受试者在设备上安装 HK 应用程序的平均时间为 12.8±2.3 天。智能手机的平均测量率为每小时 2.1±1.6 次测量。研究发现,心率测量非常准确,平均误差为-0.3 bpm。该研究表明,被动面部视频监控可在真实世界条件下收集到可靠的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of electrocardiology
Journal of electrocardiology 医学-心血管系统
CiteScore
2.70
自引率
7.70%
发文量
152
审稿时长
38 days
期刊介绍: The Journal of Electrocardiology is devoted exclusively to clinical and experimental studies of the electrical activities of the heart. It seeks to contribute significantly to the accuracy of diagnosis and prognosis and the effective treatment, prevention, or delay of heart disease. Editorial contents include electrocardiography, vectorcardiography, arrhythmias, membrane action potential, cardiac pacing, monitoring defibrillation, instrumentation, drug effects, and computer applications.
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