Title :
A new method for approximation of physiological signals
Author :
Raifel, M. ; Ron, S. ; Gur, S.
Author_Institution :
Occupational Health & Rehabilitation Inst., Ra´´anana, Israel
Abstract :
A new robust method for the approximation of physiological signals is proposed. The noise must satisfy only one condition: that the probabilities for positive and negative values are equal. The authors´ results illustrate that the proposed method provides a more accurate approximation of signals than either the least square error or the least absolute deviation method in cases that include unknown noise density.
Keywords :
approximation theory; medical signal processing; accurate signal approximation; least absolute deviation method; least square error; negative value probability; physiological signals approximation method; positive value probability; unknown noise density; Acoustic noise; Approximation error; Approximation methods; Biomedical measurements; Biomedical signal processing; Density functional theory; Least squares approximation; Measurement standards; Noise robustness; Signal processing; Artifacts; Bias (Epidemiology); Least-Squares Analysis; Models, Statistical; Normal Distribution; Probability; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
