Application of Photoplethysmography Combined with Deep Learning in Postoperative Monitoring of Flaps
ObjectivePhotoelectric volumetric tracing (PPG) exhibits high sensitivity and specificity in flap monitoring. Deep learning (DL) is capable of automatically and robustly extracting features from raw data. In this study, we propose combining PPG with 1D convolutional neural networks (1D-CNN) to preli...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Chinese Journal of Medical Instrumentation
2024-07-01
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| Series: | Zhongguo yiliao qixie zazhi |
| Subjects: | |
| Online Access: | https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.230624 |
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