Atrial fibrillation detection using heart rate variability and atrial activity: A hybrid approach
作者：
Highlights：
• A hybrid model for low resolution, real-time detection of atrial fibrillation.
• Subject wise cross validation reveals over optimism of conventional evaluation.
• A hybrid classification approach leading to improvements on all metrics.
• A total of 24 statistical features and three classifiers were used and evaluated.
• Empirical mode decomposition combines filtering and feature pre-processing.
摘要
•A hybrid model for low resolution, real-time detection of atrial fibrillation.•Subject wise cross validation reveals over optimism of conventional evaluation.•A hybrid classification approach leading to improvements on all metrics.•A total of 24 statistical features and three classifiers were used and evaluated.•Empirical mode decomposition combines filtering and feature pre-processing.
论文关键词：Atrial fibrillation,Ensemble classifier,Empirical mode decomposition,Heart rate variability,Atrial activity,Automatic detection
论文评审过程：Received 4 October 2019, Revised 6 November 2020, Accepted 3 December 2020, Available online 16 December 2020, Version of Record 25 December 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114452
