Title :
Respiratory Flow Estimation from Tracheal Sound by Adaptive Filters
Author :
Golabbakhsh, M. ; Moussavi, Z. ; Aboofazeli, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.
Abstract :
In this study, average power of tracheal sound (Pave) was used to estimate flow by parametric method as well as adaptive filters as a nonparametric method. Based on some preliminary studies, an exponential model was used for describing the relationship between flow and Pave for parametric method. It was assumed that flow signal of at least one breath from each target flow is available for calibration. The error for flow estimation with parametric method, was found to be 9plusmn3% and 10plusmn4% for inspiration and expiration, respectively. Considering nonparametric method, the estimation error was the least for the third order adaptive filter using the average power of the tracheal sound (dB), which was 10plusmn3 % and 11plusmn4 % for inspiration and expiration, respectively
Keywords :
adaptive filters; bioacoustics; calibration; medical signal processing; pneumodynamics; adaptive filters; calibration; estimation error; expiration; inspiration; nonparametric method; parametric method; respiratory flow estimation; tracheal sound; Accelerometers; Adaptive filters; Aging; Calibration; Cutoff frequency; Estimation error; Fluid flow measurement; Microphones; Pediatrics; Pressure measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615394