DocumentCode :
766358
Title :
Nonlinear alignment and averaging for estimating the evoked potential
Author :
Gupta, Lalit ; Molfese, Dennis L. ; Tammana, Ravi ; Simos, Panagiotis G.
Author_Institution :
Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA
Volume :
43
Issue :
4
fYear :
1996
fDate :
4/1/1996 12:00:00 AM
Firstpage :
348
Lastpage :
356
Abstract :
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 EPs 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 EPs 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 EPs are preserved and the estimates of the EP are quite robust.
Keywords :
bioelectric potentials; electroencephalography; medical signal processing; backtracking; evoked potential estimation; human scalp-recorded evoked potentials; nonlinear alignment procedure; optimal alignment path; pairwise generation; repetitive external stimulus; signal averaging; Additive noise; Brain modeling; Delay; Discrete event simulation; Electroencephalography; Humans; Noise measurement; Noise reduction; Noise robustness; Signal to noise ratio; Adult; Algorithms; Brain; Electroencephalography; Electrooculography; Evoked Potentials; Humans; Models, Neurological; Nonlinear Dynamics; Photic Stimulation; Scalp; Time Factors;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.486255
Filename :
486255
Link To Document :
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