Title :
Effectiveness of adaptive filtering in cancelling the respiratory component from cardiovascular series
Author :
Varanini, M. ; Pola, S. ; Emdin, M. ; Macerata, A. ; Cipriani, M. ; Marchesi, C.
Author_Institution :
Inst. of Clinical Physiol., CNR, Pisa, Italy
Abstract :
Spectral analysis of cardiovascular variability signals is currently used as a tool for investigating autonomic neural control of heart activity and vasomotion. However, in many different pathophysiological conditions variations in tidal volume and/or respiratory rate may account for a possible respiratory parasympathetic contribution to low frequency variability of heart rate and blood pressure, currently interpreted as associated with sympathetic modulation. By cancelling respiratory contribution, adaptive filtering allows a better estimation of the purely vasomotor LF component of cardiovascular variability.
Keywords :
adaptive filters; adaptive signal processing; blood pressure measurement; cardiology; electrocardiography; medical signal processing; pneumodynamics; spectral analysis; ECG; adaptive filtering effectiveness; autonomic neural control investigation tool; cardiovascular series; cardiovascular variability signals; heart activity; low frequency variability; pathophysiological conditions; respiratory component cancellation; respiratory parasympathetic contribution; respiratory rate; sympathetic modulation; tidal volume; vasomotion; Adaptive filters; Biomedical monitoring; Blood pressure; Cardiology; Filtering; Hafnium; Heart rate; Resonant frequency; Spectral analysis; Testing;
Conference_Titel :
Computers in Cardiology, 1996
Conference_Location :
Indianapolis, IN, USA
Print_ISBN :
0-7803-3710-7
DOI :
10.1109/CIC.1996.542587
