Minimal adaptive notch filter for respiratory frequency tracking

Author

Caiani, EG ; Porta, A. ; Terrani, M. ; Guzzetti, S. ; Malliani, A. ; Cerutti, S.

Author_Institution

Dipt. di Bioingegneria, Politecnico di Milano, Italy

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

511

Lastpage

514

Abstract

A method based on the use of a minimal order adaptive notch filter able to monitor changes in the respiratory frequency is proposed. The notch frequency of the filter is updated via a recursive least squared algorithm. The respiratory frequency is tracked during spontaneous and controlled breathing in healthy young subjects. Results demonstrate that, even when paced, respiratory frequency is variable and its variability depends on the breathing rate

Keywords

adaptive filters; biocontrol; cardiovascular system; filtering theory; least squares approximations; medical signal processing; notch filters; patient monitoring; pneumodynamics; recursive filters; signal reconstruction; breathing rate; change monitoring; controlled breathing; healthy young subjects; heart period; minimal adaptive notch filter; minimal order adaptive notch filter; recursive least squared algorithm; respiratory frequency tracking; spontaneous breathing; variable respiratory frequency; Adaptive filters; Bandwidth; Cardiology; Delay; Frequency measurement; Heart; Hoses; Monitoring; Narrowband; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 1999

Conference_Location

Hannover

ISSN

0276-6547

Print_ISBN

0-7803-5614-4

Type

conf

DOI

10.1109/CIC.1999.826020

Filename

826020