Comprehensive survey of computational ECG analysis: Databases, methods and applications

作者：

Highlights：

• Summary of computational methods in different stages of electrocardiogram analysis.

• Extensive overview of 45 public databases containing electrocardiogram recordings.

• Most notable achievements in 7 electrocardiogram application areas in recent years.

• Identifies future trends in computational electrocardiogram analysis.

• Focus on electrocardiogram data from mobile devices.

摘要

•Summary of computational methods in different stages of electrocardiogram analysis.•Extensive overview of 45 public databases containing electrocardiogram recordings.•Most notable achievements in 7 electrocardiogram application areas in recent years.•Identifies future trends in computational electrocardiogram analysis.•Focus on electrocardiogram data from mobile devices.

论文关键词：ECG,Mobile,Signal processing,Database,Machine learning,Survey

论文评审过程：Received 24 September 2020, Revised 1 December 2021, Accepted 7 April 2022, Available online 23 April 2022, Version of Record 11 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117206