Wireless Smartphone ECG Enables Large‐Scale Screening in Diverse Populations. (19th March 2015)

• Record Type: Journal Article
• Authors: HABERMAN, ZACHARY C.; JAHN, RYAN T.; BOSE, RUPAN; TUN, HAN; SHINBANE, JEROLD S.; DOSHI, RAHUL N.; CHANG, PHILIP M.; SAXON, LESLIE A.
• Is Part Of: Journal of cardiovascular electrophysiology. Volume 26:Number 5(2015:May)
• Page Start: 520
• Page End: 526
• Publication Date: 2015-03-19
• Subjects: Blood vessels -- Physiology -- Periodicals; Electrophysiology -- Periodicals; Heart -- Physiology -- Periodicals; 612.1
• DOI: 10.1111/jce.12634
• Languages: English
• ISSNs: 1045-3873

Abstract

<abstract abstract-type="main"> <title>Twelve‐Lead ECG as a Cardiovascular Screening Tool</title> <sec id="jce12634-sec-0010" sec-type="section"> <title>Background</title> <p>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.</p> </sec> <sec id="jce12634-sec-0020" sec-type="section"> <title>Objective</title> <p>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.</p> </sec> <sec id="jce12634-sec-0030" sec-type="section"> <title>Methods</title> <p>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.</p> </sec> <sec id="jce12634-sec-0040" sec-type="section"> <title>Results</title> <p>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.</p> </sec> <sec id="jce12634-sec-0050" sec-type="section"> <title>Conclusion</title> <p>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.</p> </sec> </abstract>