Automatic near real-time outlier detection and correction in cardiac interbeat interval series for heart rate variability analysis: singular spectrum analysis-based approach

HIGHLIGHTS

  • who: Unknown from the Graduate School of Excellence Computational Engineering, Technische Universität, Germany have published the article: Automatic Near Real-Time Outlier Detection and Correction in Cardiac Interbeat Interval Series for Heart Rate Variability Analysis: Singular Spectrum Analysis-Based Approach, in the Journal: (JOURNAL)
  • what: The aim of this study was to introduce a general framework of low computational complexity that allows for an automatic near real-time detection and correction of outliers in the R-R series based on the singular spectrum analysis (SSA). For this study, simplicity was prioritized over (more often . . .

     

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