Adaptive estimation of latency changes in evoked potentials

Xuan Kong, Nitish V. Thakor

Research output: Contribution to journalArticlepeer-review

Abstract

Changes in latency of evoked potentials (EP) may indicate clinically and diagnostically important changes in the status of the nervous system. A low signal-to-noise ratio of the EP signal makes it difficult to estimate small, transient, time-varying changes in latency, or delays. Here, we present an adaptive algorithm that estimates small delay (latency change) values even when EP signal amplitudes are time-varying. When the delay is time invariant, the adaptive algorithm produces an unbiased estimate with delay estimation error less than half of the sampling interval. A lower estimation error variance is obtained when, in a pair of signals, the adaptive algorithm delays the signal with the higher SNR. The adaptive delay estimation algorithm was tested on intra-operative recordings of somatosensory EP, and analysis of those recordings reveals that the anesthetic etomidate produces a step change in the amplitude and latency of the EP signals.

Original languageEnglish (US)
Pages (from-to)189-197
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Volume43
Issue number2
DOIs
StatePublished - Feb 1996

ASJC Scopus subject areas

  • Biomedical Engineering

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