Leveraging Multi-modal User-labeled Data for Improved Accuracy in Interpretation of ECG Recordings
Pages 636 - 641
Abstract
This paper presents our preliminary design of the Reaching the Frail Elderly Patient for Optimizing Diagnosis of Atrial Fibrillation (REAFEL) system that helps to improve accuracy in interpretation of Electrocardiography (ECG) recordings by leveraging multi-modal user-labeled data and other contextual information from mobile devices. We describe the methods to collect and visualize the data, discuss the challenges associated with the project and conclude the paper by outlining future work.
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Index Terms
- Leveraging Multi-modal User-labeled Data for Improved Accuracy in Interpretation of ECG Recordings
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October 2018
1881 pages
ISBN:9781450359665
DOI:10.1145/3267305
Copyright © 2018 ACM.
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- University of Florida: University of Florida
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Published: 08 October 2018
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UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing
October 8 - 12, 2018
Singapore, Singapore
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Overall Acceptance Rate 764 of 2,912 submissions, 26%
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