An improved UNet++ model for congestive heart failure diagnosis using short-term RR intervals
Congestive heart failure (CHF), a progressive and complex syndrome caused by ventricular dysfunction, is difficult to detect at an early stage. Heart rate variability (HRV) was proposed as a prognostic indicator for CHF. Inspired by the success of 2-D UNet++ in medical image segmentation, in this pa...
Main Authors: | Lei, Meng, Li, Jia, Li, Ming, Zou, Liang, Yu, Han |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/153896 |
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