Haberman Zachary C, Jahn Ryan T, Bose Rupan, Tun Han, Shinbane Jerold S, Doshi Rahul N, Chang Philip M, Saxon Leslie A
Keck School of Medicine of USC, Los Angeles, California, USA.
J Cardiovasc Electrophysiol. 2015 May;26(5):520-6. doi: 10.1111/jce.12634. Epub 2015 Mar 19.
The ubiquitous presence of internet-connected phones and tablets presents a new opportunity for cost-effective and efficient electrocardiogram (ECG) screening and on-demand diagnosis. Wireless, single-lead real-time ECG monitoring supported by iOS and android devices can be obtained quickly and on-demand. ECGs can be immediately downloaded and reviewed using any internet browser.
We compared the standard 12-lead ECG to the smartphone ECG in healthy young adults, elite athletes, and cardiology clinic patients. Accuracy for determining baseline ECG intervals and rate and rhythm was assessed.
In 381 participants, 30-second lead I ECG waveforms were obtained using an iPhone case or iPad. Standard 12-lead ECGs were acquired immediately after the smartphone tracing was obtained. De-identified ECGs were interpreted by automated algorithms and adjudicated by two board-certified electrophysiologists.
Both smartphone and standard ECGs detected atrial rate and rhythm, AV block, and QRS delay with equal accuracy. Sensitivities ranged from 72% (QRS delay) to 94% (atrial fibrillation). Specificities were all above 94% for both modalities.
Smartphone ECG accurately detects baseline intervals, atrial rate, and rhythm and enables screening in diverse populations. Efficient ECG analysis using automated discrimination and an enhanced smartphone application with notification capabilities are features that can be easily incorporated into the acquisition process.
联网手机和平板电脑的广泛使用为具有成本效益且高效的心电图(ECG)筛查和按需诊断带来了新机遇。借助iOS和安卓设备支持的无线单导联实时ECG监测能够快速且按需获取。ECG可使用任何网络浏览器立即下载并查看。
我们在健康年轻成年人、精英运动员和心脏病学门诊患者中比较了标准12导联ECG与智能手机ECG。评估了确定基线ECG间期、心率和心律的准确性。
在381名参与者中,使用iPhone保护壳或iPad获取30秒的I导联ECG波形。在获取智能手机心电图后立即采集标准12导联ECG。经过去识别处理的ECG由自动算法解读,并由两名具备专业认证的电生理学家裁定。
智能手机ECG和标准ECG在检测心房率、心律、房室传导阻滞和QRS波群延迟方面具有同等准确性。敏感度范围为72%(QRS波群延迟)至94%(心房颤动)。两种检测方式的特异性均高于94%。
智能手机ECG能够准确检测基线间期、心房率和心律,并能在不同人群中进行筛查。利用自动判别进行高效ECG分析以及具备通知功能的增强型智能手机应用程序,都是可以轻松融入采集过程的特性。