Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning

Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning

Abstract Background Heartbeat interval Lorenz plot (LP) imaging is a promising method for detecting atrial fibrillation (AF) in long-term monitoring, but the optimal segment window length for the LP images is unknown. We examined the performance of AF detection by LP images with different segment wi...

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Bibliographic Details
Main Authors: Masaya Kisohara, Yuto Masuda, Emi Yuda, Norihiro Ueda, Junichiro Hayano
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BioMedical Engineering OnLine
Subjects:
Artificial intelligence
Atrial fibrillation
Convolutional neural network
Holter electrocardiogram
Lorenz plot
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12938-020-00795-y

Internet

http://link.springer.com/article/10.1186/s12938-020-00795-y

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