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Impact of QRS misclassifications on heart-rate-variability parameters (results from the CARLA cohort study).

Frank SauerbierJohannes HaertingDaniel SeddingRafael MikolajczykKarl WerdanSebastian NudingKarin H GreiserCees A SwenneJan A KorsAlexander Kluttig
Published in: PloS one (2024)
We have shown that the use of the automated MEANS algorithm may lead to an overestimation of HRV due to the misclassification of non-sinus beats, especially in frequency domain parameters. However, in population-based studies, this has no effect on the observed associations of HRV with risk factors, and therefore an automated ECG analyzing algorithm as MEANS can be recommended here for the determination of HRV parameters.
Keyphrases
  • heart rate variability
  • heart rate
  • machine learning
  • deep learning
  • risk factors
  • blood pressure
  • mass spectrometry
  • neural network
  • high resolution