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

Shi Cheng; Lakshman S. Tamil; Benjamin Levine

doi:10.1109/ICHI.2015.29

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 proceeding › Conference contribution

8 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 language	English (US)
Title of host publication	Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	189-192
Number of pages	4
ISBN (Print)	9781467395489
DOIs	https://doi.org/10.1109/ICHI.2015.29
State	Published - Dec 8 2015
Event	3rd IEEE International Conference on Healthcare Informatics, ICHI 2015 - Dallas, United States Duration: Oct 21 2015 → Oct 23 2015

Other

Other	3rd IEEE International Conference on Healthcare Informatics, ICHI 2015
Country/Territory	United States
City	Dallas
Period	10/21/15 → 10/23/15

Keywords

AFib
Atrial fibrillation
mHelath

ASJC Scopus subject areas

Health Informatics

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10.1109/ICHI.2015.29

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A mobile health system to identify the onset of paroxysmal atrial fibrillation. / Cheng, Shi; Tamil, Lakshman S.; Levine, Benjamin.
Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 189-192 7349690.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cheng, S, Tamil, LS & 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., 7349690, Institute of Electrical and Electronics Engineers Inc., pp. 189-192, 3rd IEEE International Conference on Healthcare Informatics, ICHI 2015, Dallas, United States, 10/21/15. https://doi.org/10.1109/ICHI.2015.29

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

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Keywords

ASJC Scopus subject areas

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