Title :
Non-parametric system identification of dynamic baroreflex from step response
Author_Institution :
NCGG, Obu
Abstract :
In cardiovascular diseases, the assessment of baroreflex function requires the quantitative evaluation of dynamic properties. The wavelet-based time-frequency analysis was applied to the model baroreflex response in anesthetized rabbits with isolated carotid sinuses. The dynamic baroreflex properties could be accurately extracted from short-term step responses, regardless of background noises, compared to the standard FFT method. The results indicate that be applicable to clinical assessment of dynamic baroreflex function.
Keywords :
biocontrol; cardiovascular system; diseases; fast Fourier transforms; parameter estimation; step response; time-frequency analysis; wavelet transforms; anesthetized rabbits; baroreflex response; cardiovascular diseases; clinical assessment; dynamic baroreflex function; dynamic baroreflex property; isolated carotid sinuses; nonparametric system identification; standard FFT method; step response; wavelet-based time-frequency analysis; Background noise; Baroreflex; Cardiovascular diseases; Delay; Frequency; Heart rate; Rabbits; System identification; Transfer functions; Wavelet analysis; arterial pressure; cardiovascular control; heart rate; sympathetic nerve activity; wavelet analysis;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4655212
