Title :
MSE behaviour of biomedical event-related filters [impedance cardiography application]
Author :
Barros, Allan Kardec ; Ohnishi, Noboru
Author_Institution :
Dept. of Inf. Eng., Nagoya Univ., Japan
Abstract :
The mean-squared error (MSE) behaviour for Fourier linear combiner (FLC)-based filters is analyzed, using the independence assumption. The advantage of this analysis is its simplicity compared with previous results. The MSE transient behaviour for this kind of filters is also presented for the first time. Moreover, a time-varying sequence for the least mean square (LMS) algorithm step-size is proposed to provide fast convergence with small misadjustment error. It is shown that for this sequence, the MSE behaves better as the input signal-to-noise ratio (SNR) decreases, but increases with the number of harmonics. Lastly, the authors make a brief analysis on the nonstationary behaviour of these filters, and again they find simple expressions for the MSE behaviour.
Keywords :
adaptive filters; cardiology; electric impedance imaging; medical signal processing; Fourier linear combiner-based filters; biomedical event-related filters; fast convergence; harmonics number; input signal-to-noise ratio; least mean square algorithm step-size; mean-squared error behaviour; small misadjustment error; time-varying sequence; Cardiography; Convergence; Frequency estimation; Impedance; Least squares approximation; Nonlinear filters; Pathology; Power engineering and energy; Power harmonic filters; Transversal filters; Algorithms; Cardiography, Impedance; Electrocardiography; Evoked Potentials; Fourier Analysis; Humans; Male; Reference Values; Signal Processing, Computer-Assisted; Stroke Volume;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
