Efficient extraction of data from intra-operative evoked potentials: 1.-Theory and simulations.

ABSTRACT: Quickly and efficiently extracting evoked potential information from noise is critical to the clinical practice of intraoperative neurophysiologic monitoring (IONM). Currently this is primarily done using trained professionals to interpret averaged waveforms. The purpose of this paper is to evaluate and compare multiple means of electronically extracting simple to understand evoked potential characteristics with minimum averaging. A number of evoked potential models are studied and their performance evaluated as a function of the signal to noise level in simulations.

Methods

which extract the least number of parameters from the data are least sensitive to the effects of noise and are easiest to interpret. The simplest model uses the baseline evoked potential and the correlation rece

SUBMITTER: Stecker MM 

PROVIDER: S-EPMC10428058 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature