Nonlinear alignment and averaging for estimating the evoked potential

Lalit Gupta, Dennis L. Molfese, Ravi Tammana, Panagiotis G. Simos

Research output: Contribution to journalArticlepeer-review

126 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)348-356
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Issue number4
StatePublished - Apr 1996
Externally publishedYes

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Nonlinear alignment and averaging for estimating the evoked potential'. Together they form a unique fingerprint.

Cite this