Accuracy of Smartphone Camera Applications for Detecting Atrial Fibrillation
Article 2020 en
Authors
JO
Jack W. O’Sullivan
SG
Sam Grigg
WC
William Crawford
Abstract
1 min read
In this study, all smartphone camera applications had relatively high sensitivity and specificity. The modeled NPV was high for all analyses, but the PPV was modest, suggesting that using these applications in an asymptomatic population may generate a higher number of false-positive than true-positive results. Future research should address the accuracy of these applications when screening other high-risk population groups, their ability to help monitor chronic AF, and, ultimately, their associations with patient-important outcomes.
Louise Sayers, Jeremy Lewin, Damien Kee, Imogen Walpole, Alexandra Sanelli, Alan Herschtal, John Spillane, David Gyorki, David Speakman, Vanessa Estall, Simon Donahoe, Miklos Pohl, Kathy Pope, Margaret Chua, Shahneen Sandhu, Grant A. McArthur, Christopher McCormack, Michael A. Henderson, Rodney J. Hicks, Mark Shackleton
Ming Li, Mingxing Chu, Sihui Zhang, Y M Shen, Xiaobo Sun, Ju Gong, Gang Yang, Jianzhou Shi, Xue Ding, Zejuan Gu, C Z Li, Chaoyi Zhang, Zhongrui Wang, Professor Gregory Lip, M L Chen
Bernadette Corica, Niccolò Bonini, Jacopo Francesco Imberti, Giulio Francesco Romiti, Marco Vitolo, Lisa Attanasio, Stefania Basili, Ben Freedman, Tatjana Potpara, Giuseppe Boriani, Professor Gregory Lip, Marco Proietti
Discussion(0)
No comments yet. Be the first to comment.