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心电图研究进展:从动态单导联记录到多导联可穿戴设备,辅以计算机器学习算法。

The electrocardiogram endeavour: from the Holter single-lead recordings to multilead wearable devices supported by computational machine learning algorithms.

机构信息

Heart Sector, Hygeia Hospitals Group, Athens, Greece.

Imperial College London, London, UK.

出版信息

Europace. 2020 Jan 1;22(1):19-23. doi: 10.1093/europace/euz249.

DOI:10.1093/europace/euz249
PMID:31535151
Abstract

This review aims to provide a comprehensive recapitulation of the evolution in the field of cardiac rhythm monitoring, shedding light in recent progress made in multilead ECG systems and wearable devices, with emphasis on the promising role of the artificial intelligence and computational techniques in the detection of cardiac abnormalities.

摘要

本文旨在全面综述心脏节律监测领域的发展,重点介绍多导联心电图系统和可穿戴设备的最新进展,并强调人工智能和计算技术在心脏异常检测中的应用前景。

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