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Fast time-varying linear filters for suppression of baseline drift in electrocardiographic signals.

Jiří KozumplíkValentine Provaznik
Published in: Biomedical engineering online (2017)
We proved that a 0.5 dB decrease in transfer function, at a time-varying cut-off frequency of HP filter controlled by an instant heart rate, is acceptable when related to maximum error due to filtering. Presented in the article are the algorithms that enable the realization of time-variable filters with very low computational costs. We propose fast linear HP filters for the suppression of baseline wander with time-varying cut-off frequencies controlled by instant heart rate. The filters fulfil accepted professional standards and increase the efficiency of the noise suppression.
Keyphrases
  • heart rate
  • heart rate variability
  • blood pressure
  • machine learning
  • air pollution
  • heart failure