Title :
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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Computers in Cardiology, 1999
Conference_Location :
Hannover
Print_ISBN :
0-7803-5614-4
DOI :
10.1109/CIC.1999.826020
