학술논문

Feature extraction of event-related potential waveforms by neural networks
Document Type
Conference
Source
IEEE International Conference on Neural Networks Neural Networks, 1993., IEEE International Conference on. :1532-1537 vol.3 1993
Subject
Computing and Processing
Components, Circuits, Devices and Systems
Signal Processing and Analysis
Feature extraction
Neural networks
Artificial neural networks
Multiple sclerosis
Enterprise resource planning
Biological neural networks
Signal to noise ratio
Signal processing
Delay
Nervous system
Language
Abstract
Artificial neural network (ANN) Methods may be useful in brain signal analysis, in which the signal characteristics are unknown and signal-to-noise ratios are well below one. The development of a neural network for classifying event-related potential data obtained from normal control subjects and from patients with multiple sclerosis is described. The classification strategy is then decoded by network analysis and compared with that obtained statistically. The network decision-making process is illustrated by three examples, showing the variation of the responses of internal hidden units to different input stimuli.ETX