Adaptive filtering of ECG signal for deriving respiratory activity

@article{Varanini1990AdaptiveFO,
  title={Adaptive filtering of ECG signal for deriving respiratory activity},
  author={Maurizio Varanini and Michele Emdin and Flavio Allegri and Mauro Raciti and Fabrizio Conforti and Alberto Macerata and Arnaud Taddei and Romolo Francesconi and Gerold Kraft and Antonio Abbate and Carlo Marchesi},
  journal={[1990] Proceedings Computers in Cardiology},
  year={1990},
  pages={621-624}
}
A new approach is introduced for deriving the respiratory signal from a single-lead electrocardiogram (ECG) by adaptive filtering. The method uses the R-R interval and the R-wave amplitude time series, extracted from the ECG signal, as inputs to the filter, the respiratory activity is estimated as its output. The adaptive filtering is able to enhance the common component between the above series (namely the respiratory influence), attenuating the uncorrelated noise. More than 170 hours of ECG… CONTINUE READING

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