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Wearable Devices Combined with Artificial Intelligence-A Future Technology for Atrial Fibrillation Detection?
Mäkynen, Marko; Ng, G Andre; Li, Xin; Schlindwein, Fernando S.
Afiliação
  • Mäkynen M; School of Engineering, University of Leicester, Leicester LE1 7RH, UK.
  • Ng GA; National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester LE5 4PW, UK
  • Li X; Department of Cardiovascular Sciences, University of Leicester, UK, Leicester LE1 7RH, UK
  • Schlindwein FS; School of Engineering, University of Leicester, Leicester LE1 7RH, UK.
Sensors (Basel) ; 22(22)2022 11 08.
Article em En | MEDLINE | ID: mdl-36433186
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article