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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: T. Lyu et al.

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Title: 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: T. Lyu et al.
Authors: Lyu, Tan1 (AUTHOR), Ye, Miao1 (AUTHOR), Yuan, Minjie1 (AUTHOR), Chen, Haina1 (AUTHOR), Han, Sijie1 (AUTHOR), Yu, Lifang1 (AUTHOR), Li, Chen1 (AUTHOR) 1138800052@zju.edu.cn
Source: Scientific Reports. 4/7/2025, Vol. 15 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: 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: T. Lyu et al.
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        Value: 10.1038/s41598-025-96622-2
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      – TitleFull: 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: T. Lyu et al.
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              Text: 4/7/2025
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