A wavelet-packet method for the identification of ventilator influence on heart rate variability

Author

Mainardi, L.T. ; Korhonen, I. ; Bonacina, S. ; Cerutti, S.

Author_Institution

Dept. of Biomed. Eng., Polytech. Univ., Milan, Italy

Volume

1

fYear

2001

fDate

2001

Firstpage

500

Abstract

We studied the respiratory related modifications of RR interval (RRI) variability in post-operative, artificially ventilated patients during their recovery from anesthesia after cardiac surgery. An ARX model was used to exploit the relationships between RRI and respiration in sub-bands signals obtained through wavelets packets decomposition. We found that the recovery from anesthesia is accompanied by progressive reduction of the influence of ventilation on RR variability and by the reappearance of physiological modulations of the sinus node activity.

Keywords

electrocardiography; medical signal processing; patient monitoring; pneumodynamics; surgery; wavelet transforms; anesthesia monitoring; cardiac surgery; heart rate variability; physiological modulations; recovery from anesthesia; respiration; sedation; sinus node activity; sub-bands signals; ventilator influence identification; wavelet-packet method; wavelets packets decomposition; Anesthesia; Biomedical monitoring; Frequency; Heart rate measurement; Heart rate variability; Rail to rail inputs; Signal processing; Surgery; Ventilation; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1018977

Filename

1018977