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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-96622-2 |
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