Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings

Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings

Abstract Advancements in medical technology have extended long-term electrocardiogram (ECG) monitoring from the traditional 24 h to 7–14 days, significantly enriching ECG data. However, this poses unprecedented challenges for physicians in analyzing these extensive datasets. While artificial neural...

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Bibliographic Details
Main Authors: Tan Lyu, Miao Ye, Minjie Yuan, Haina Chen, Sijie Han, Lifang Yu, Chen Li
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-96622-2
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