An improved UNet++ model for congestive heart failure diagnosis using short-term RR intervals

• Main Authors: Lei, Meng, Li, Jia, Li, Ming, Zou, Liang, Yu, Han
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2021
• 主題: Engineering::Computer science and engineering; Congestive Heart Failure; Short-Term RR Intervals
• 在線閱讀: https://hdl.handle.net/10356/153896
• 機構: Nanyang Technological University

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...