A mobile health system to identify the onset of paroxysmal atrial fibrillation

Shi Cheng, Lakshman S. Tamil, Benjamin Levine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Atrial Fibrillation (AFib) is increasingly recognized as a risk factor for clots, strokes, heart failure and other complications. One estimate states that 2.7 million individuals are living in U.S. With AFib and this number may increase to 5.6 million by 2050. Identifying patients with paroxysmal AFib early after the onset and treating them immediately may improve clinical outcomes, especially by reducing stroke. Currently AFib cases are identified only when the patients complain of palpitations or discovered during routine heart check ups. Improving early identification warrants a simple screening device to detect the onset of AFib. We have developed an mHealth system with a wearable ECG and an automated algorithm for this purpose. The machine learning based algorithm along with patient user interface can be downloaded as an App.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages189-192
Number of pages4
ISBN (Print)9781467395489
DOIs
Publication statusPublished - Dec 8 2015
Event3rd IEEE International Conference on Healthcare Informatics, ICHI 2015 - Dallas, United States
Duration: Oct 21 2015Oct 23 2015

Other

Other3rd IEEE International Conference on Healthcare Informatics, ICHI 2015
CountryUnited States
CityDallas
Period10/21/1510/23/15

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Keywords

  • AFib
  • Atrial fibrillation
  • mHelath

ASJC Scopus subject areas

  • Health Informatics

Cite this

Cheng, S., Tamil, L. S., & Levine, B. (2015). A mobile health system to identify the onset of paroxysmal atrial fibrillation. In Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015 (pp. 189-192). [7349690] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2015.29