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Wearable Devices Combined with Artificial Intelligence-A Future Technology for Atrial Fibrillation Detection?

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posted on 2023-02-03, 15:45 authored by Marko Mäkynen, Fernando S Schlindwein
Atrial fibrillation (AF) is the most common cardiac arrhythmia in the world. The arrhythmia and methods developed to cure it have been studied for several decades. However, professionals worldwide are still working to improve treatment quality. One novel technology that can be useful is a wearable device. The two most used recordings from these devices are photoplethysmogram (PPG) and electrocardiogram (ECG) signals. As the price lowers, these devices will become significant technology to increase sensitivity, for monitoring and for treatment quality support. This is important as AF can be challenging to detect in advance, especially during home monitoring. Modern artificial intelligence (AI) has the potential to respond to this challenge. AI has already achieved state of the art results in many applications, including bioengineering. In this perspective, we discuss wearable devices combined with AI for AF detection, an approach that enables a new era of possibilities for the future.

Funding

The study is supported by the NIHR Leicester Biomedical Research Centre. X.L. received funding from the British Heart Foundation (BHF Project Grant no. PG/18/33/33780). G.A.N. (G. André Ng) received funding from a British Heart Foundation Programme Grant (RG/17/3/32774). X.L. (Xin Li), F.S.S. and G.A.N. (G. André Ng) are supported by a Medical Research Council Biomedical Catalyst Developmental Pathway Funding Scheme (MR/S037306/1).

History

Citation

Mäkynen, M.; Schlindwein, F.S.Wearable Devices Combined with Artificial Intelligence—A Future Technology for Atrial Fibrillation Detection? Sensors 2022, 22, 8588. https://doi.org/10.3390/s22228588

Author affiliation

School of Engineering

Version

  • VoR (Version of Record)

Published in

Sensors

Volume

22

Issue

22

Pagination

8588

Publisher

MDPI AG

issn

1424-8220

eissn

1424-8220

Acceptance date

2022-11-03

Copyright date

2022

Available date

2023-02-03

Language

eng

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