Knowledge-based flash evoked potential recognition system

Authors:
J. Xu;S. Hyman;P. King
Affiliations:
Department of Anesthesiology, Vanderbilt University, Box 6582, Nashville, TN, 37235, USA;Department of Anesthesiology, Vanderbilt University, Box 6582, Nashville, TN, 37235, USA;Department of Anesthesiology, Vanderbilt University, Box 6582, Nashville, TN, 37235, USA
Venue:
Artificial Intelligence in Medicine
Year:
1992

Citing 3
Cited 0

The artificial intelligence approach to pattern recognition—a perspective and an overview

Pattern Recognition
Crafting Knowledge-Based Systems

Crafting Knowledge-Based Systems
Programs for Digital Signal Processing

Programs for Digital Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A knowledge-based evoked potential monitoring and recognition system has been developed to automatically monitor patients' flash evoked potentials and recognize the signals. It also automatically labels the peaks and troughs of the evoked potentials, and calculates the latencies and amplitudes of the evoked potentials. This knowledge-based system was implemented using object-oriented programming. Due to the variability of flash evoked potentials, the system uses temporal and spatial contexts to achieve reliability. The overall accuracy (3 correct of 3 waves, plus 2 correct of three in the presence of noise or low amplitude) is around 95%.