Title :
Smoothing and detection of respiratory signals using Chebyshev polynomials
Author :
Motto, A.L. ; Galiana, H.L. ; Brown, K.A. ; Kearney, Robert E.
Author_Institution :
Dept. of Biomed. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
This paper presents a new method for smoothing and detection of respiratory signals in noise. The output of the smoothing filter is obtained as a linear combination of some Chebyshev polynomials over a moving window of finite duration. Each coefficient of the Chebyshev polynomials is computed by the least squares method. The procedure is demonstrated using simulated time series and real neonatal respiratory signals measured in post-anaesthesia recovery rooms.
Keywords :
medical signal detection; medical signal processing; smoothing methods; Chebyshev polynomials; least squares method; neonatal respiratory signals; postanaesthesia recovery rooms; respiratory signals detection; respiratory signals smoothing; simulated time series; smoothing filter; Chebyshev approximation; Filters; Least squares methods; Minimization methods; Pediatrics; Polynomials; Signal detection; Signal to noise ratio; Smoothing methods; Yield estimation;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1280406
