Nonlinear alignment and averaging for estimating the evoked potential

被引:132
作者
Gupta, L [1 ]
Molfese, DL [1 ]
Tammana, R [1 ]
Simos, PG [1 ]
机构
[1] SO ILLINOIS UNIV,DEPT PSYCHOL,CARBONDALE,IL 62901
关键词
D O I
10.1109/10.486255
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper addresses the problems associated with averaging brain responses evoked through a repetitive application of an external stimulus, In order to improve the estimate of the evoked potential (EP) through signal averaging, a method which incorporates nonlinear alignment of the EP's into the averaging operation is developed. The method makes no prior assumptions about the properties of the EP or which response in the set best characterizes the EP to be estimated, The nonlinear alignment procedure is designed to pairwise generate optimally aligned EP's by backtracking along the optimal alignment path, The nonlinear alignment and averaging operations are systematically combined to develop methods to estimate the EP, Results from a series of experiments conducted on simulated and real sets of responses show that, through nonlinear alignment and averaging, the events in the EP's are preserved and the estimates of the EP are quite robust.
引用
收藏
页码:348 / 356
页数:9
相关论文
共 28 条
[1]  
AUNON JI, 1981, CRC CRIT REV BIO JUL, P323
[2]   CROSS-MODAL REPETITION EFFECTS ON THE N4 [J].
DOMALSKI, P ;
SMITH, ME ;
HALGREN, E .
PSYCHOLOGICAL SCIENCE, 1991, 2 (03) :173-178
[3]   ERP COMPONENTS IN PICTURE MATCHING IN CHILDREN AND ADULTS [J].
FRIEDMAN, D ;
SUTTON, S ;
PUTNAM, L ;
BROWN, C ;
ERLENMEYERKIMLING, L .
PSYCHOPHYSIOLOGY, 1988, 25 (05) :570-590
[4]   IMPROVED EVENT-RELATED POTENTIAL ESTIMATION USING STATISTICAL PATTERN-CLASSIFICATION [J].
GEVINS, AS ;
MORGAN, NH ;
BRESSLER, SL ;
DOYLE, JC ;
CUTILLO, BA .
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1986, 64 (02) :177-186
[5]   AN ARTIFICIAL NEURAL-NETWORK APPROACH TO ERP CLASSIFICATION [J].
GUPTA, L ;
MOLFESE, DL ;
TAMMANA, R .
BRAIN AND COGNITION, 1995, 27 (03) :311-330
[6]   NONLINEAR ALIGNMENT OF NEURAL NET OUTPUTS FOR PARTIAL SHAPE CLASSIFICATION [J].
GUPTA, L ;
UPADHYE, AM .
PATTERN RECOGNITION, 1991, 24 (10) :943-948
[7]   ROBUST PARTIAL SHAPE CLASSIFICATION USING INVARIANT BREAKPOINTS AND DYNAMIC ALIGNMENT [J].
GUPTA, L ;
MALAKAPALLI, K .
PATTERN RECOGNITION, 1990, 23 (10) :1103-1111
[8]   INVARIANT PLANAR SHAPE-RECOGNITION USING DYNAMIC ALIGNMENT [J].
GUPTA, L ;
SRINATH, MD .
PATTERN RECOGNITION, 1988, 21 (03) :235-239
[9]   3-LAYER PERCEPTRON BASED CLASSIFIERS FOR THE PARTIAL SHAPE CLASSIFICATION PROBLEM [J].
GUPTA, L ;
WANG, JS ;
CHARLES, A ;
KISATSKY, P .
PATTERN RECOGNITION, 1994, 27 (01) :91-97
[10]   EEG WAVEFORM ANALYSIS BY MEANS OF DYNAMIC TIME-WARPING [J].
HUANG, HC ;
JANSEN, BH .
INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING, 1985, 17 (02) :135-144