A POSTERIORI DIGITAL FILTERING TO REDUCE SIGNAL-AVERAGING OF STEADY-STATE EVOKED-POTENTIALS

被引:0
作者
MAY, JG
HUGHES, LF
机构
[1] Department of Psychology, University of New Orleans, New Orleans, LA
[2] Alzheimers and Related Disease Center, Southern Illinois University, Springfield, IL
关键词
DIGITAL FILTERING; SIGNAL AVERAGING; FOURIER ANALYSIS;
D O I
10.1097/00006324-199202000-00004
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
This paper describes a signal extraction technique that involves taking the time series representation of signals, transforming them into the frequency domain, determining the chance occurrence of power at each frequency, and filtering accordingly. An inverse Fourier transform is then used to recreate the new time domain representation, which has been appropriately filtered for extraneous noise. Thus, this technique involves a posteriori digital filtering based on a statistical criterion for component inclusion. Computer simulation indicated that, at poor signal-to-noise ratios and with fewer samples, this technique is 5 to 10 times better at signal extraction than conventional signal averaging. Examples of pattern-elicited electroretinograms (PERG's) are used to illustrate the efficacy of this method.
引用
收藏
页码:117 / 121
页数:5
相关论文
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