Robust Time Delay Estimation of Biomedical Signals Based on Variable Step-Size Affine Projection Algorithms

This electronic propagation is the most important spatial characteristics of bioelectrical signals, whereas time delay estimation (TDE) is the most effective quantitative method in the spatial propagation feature extraction of biomedical signals. A new robust TDE algorithm using the variable step-size affine projection ( RVSAPA) and its application experiments are presented in this paper. Due to it is free of the assumption that the biomedical signals and noises are certain known stochastic distribution, the algorithm is more robust than many traditional analysis methods. Simulation and real application experiments are conducted to precise estimate the evoked potentials (EP) latency changes under background electroencephalograph (EEG) noises and analyze the propagation velocities of gastric myoelectrical activity (GMA) during different phases of the migrating myoelectrical complex (MMC).