Single-trial Extraction of Evoked Potential from Single channel Based on Temporal Autocorrelation Function
Qiu Tian-shuang · Signal Processing · 2012
The single channel signal separation is an important issue in signal processing field and has been widely researched in recent years.Its main purpose is to separate the signals of interest from the single channel observations.And one of its typical applications is the single channel extraction of evoked potentials.In this paper,we proposed an optimization method whose objective function is based on the temporal autocorrelation function of the underlying signal.The initial value of the optimization and the temporal autocorrelation were estimated by using the wavelet transform modulus maxima method.This approach was employed to extract the evoked potential signal in single-trial from single channel.The correlation coefficient and the power of the error signal between the extracted result and the underlying signal were respectively 0.98 and 0.25 under 0 dB signal-to-noise ratio conditions,and both the amplitude and latency of the evoked potential signal were accurately extracted.Experimental results showed that the algorithm could extract the evoked potential signal well in single-trial from single channel.