Swiss Scientists studied Respiratory rate estimation from multi-channel signals using auto-regulated adaptive extended Kalman filter

Last Updated on May 28, 2024 by pg@petergamma.org

and the published their results in «Biomedical Signal Processing and Control» 84 (2023) 104977

https://www.sciencedirect.com/science/article/pii/S174680942300410X

Conclusion

  • Auto-regulated adaptive EKF allows tracking of fast changing respi-
    ratory signals and the RR even with interferences from cardiac activity
    and motion artifacts.
  • AA-EKF is able to incorporate multi-channel information and empirical knowledge of the signal characteristics to improve estimation accuracy.
  • With further improvements, such as inclusion of multiple signal modalities and automated patient specific optimization, RR estimation may become a reliable monitoring tool even for acute situations in the intensive care settings.

We hope to read more soon about this topic in “Nature” & “Science”