Computer Recognition of Wave Location in Graphical Data by a Neural Network
Abstract
Five experiments were performed using several neural network architectures to identify the location of a wave in the time ordered graphical results from a medical test. Baseline results from the first experiment found correct identification of the target wave in 85% of cases (n=20). Other experiments investigated the effect of different architectures and preprocessing the raw data on the results. The methods used seem most appropriate for time oriented graphical data which has a clear starting point such as electrophoresis Or spectrometry rather than continuous teSts such as ECGs and EEGs.
Cite
Text
Freeman. "Computer Recognition of Wave Location in Graphical Data by a Neural Network." Neural Information Processing Systems, 1991.Markdown
[Freeman. "Computer Recognition of Wave Location in Graphical Data by a Neural Network." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/freeman1991neurips-computer/)BibTeX
@inproceedings{freeman1991neurips-computer,
title = {{Computer Recognition of Wave Location in Graphical Data by a Neural Network}},
author = {Freeman, Donald T.},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {706-713},
url = {https://mlanthology.org/neurips/1991/freeman1991neurips-computer/}
}