基于CiteSpace的房颤检测算法研究现状与趋势分析.docx资源-CSDN文库

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摘要

房颤是严重的心房电活动紊乱，可导致心脏衰竭、脑卒中等并发症。随着人工智能领域的发展，深

度学习算法在房颤早期检测中的应用越来越广泛。运用 CiteSpace 软件检索 2001-2022 年中国

知网收录的 174 篇相关文献，从文献发表年份、作者、发表机构、关键词 4 个方面进行文献计量

与可视化分析，以呈现该领域的研究趋势。结果表明，相关文献发文量总体呈上升趋势，但总量仍

较低；作者、机构之间合作度偏低，分布较为稀散；研究主要围绕超限学习机、R 波定位、希式束、

模式识别、QRS 波检测、心室纤颤、P 波、盲源提取、独立成分分析、机器学习、预处理、混沌、

信息熵、波动图、统计性能等展开。使用深度学习算法进行房颤检测已经成为一种趋势，但目前国

内对于该领域的研究还有很大提升空间，如研究需要多样化、算法融合度需提高、研究团队和机构

之间需进一步加强交流与合作等。

Abstract

Atrial fibrillation is a serious disorder of atrial electrical activity， which can lead to

heart failure and stroke. With the development of artificial intelligence， deep

learning algorithm is more and more widely used in the early detection of atrial

fibrillation. CiteSpace software was used to retrieve 174 relevant literatures

collected by CNKI from 2001 to 2022， and bibliometric and visual analysis was

carried out from the four aspects of publication year， author， organization and

keywords， so as to present the research trend in this field. The results show that

the number of papers published in the relevant literature is on the rise， but the

total amount is still low； The degree of cooperation between authors and

institutions is low， and the research distribution is sparse； The research mainly

focuses on transfinite learning machine， R wave localization， Greek bundle，

pattern recognition， QRS wave detection， ventricular fibrillation， P wave， blind

source extraction， independent component analysis， machine learning，

preprocessing， chaos， information entropy， wave graph， statistical

performance， etc. Using deep learning algorithm to detect atrial fibrillation has

become a trend， but there is still much room for improvement in domestic research

in this field， such as the research needs to be diversified， the algorithm fusion

needs to be promoted， and the communication and cooperation between research

teams and institutions need to be further strengthened.

译

关键词

房颤检测; CiteSpace 软件; 深度学习

Keywords

atrial fibrillation detection; CiteSpace software; deep learning

译

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