Online robust R-peaks detection in noisy electrocardiograms using a novel iterative smart processing algorithm
作者：
Highlights：
• A 20-s sliding window is used to analyze the electrocardiogram in real time.
• Interpolated median filtering performs an efficient baseline wander removal.
• Signal and noise intensities are processed to separate R-peaks from artifacts.
• Area over the peak curve is used to detect R-peaks with low processing requirements.
• Incorrect heart periods are detectable using distance-based rules between R-peaks.
摘要
•A 20-s sliding window is used to analyze the electrocardiogram in real time.•Interpolated median filtering performs an efficient baseline wander removal.•Signal and noise intensities are processed to separate R-peaks from artifacts.•Area over the peak curve is used to detect R-peaks with low processing requirements.•Incorrect heart periods are detectable using distance-based rules between R-peaks.
论文关键词：Electrocardiogram,ECG processing,R-peak detection,Filtering,Smart computing,State machine
论文评审过程：Received 11 July 2019, Revised 26 September 2019, Accepted 13 October 2019, Available online 1 November 2019, Version of Record 1 November 2019.
论文官网地址：https://doi.org/10.1016/j.amc.2019.124839
