@inproceedings{59da00aa9d5d49bb86cd825b312c4078,
title = "Classification of CO2 waveforms using artificial neural networks",
abstract = "A computer-based system for continuous analysis of CO2 waveforms for capnography has been developed which utilizes traditional algorithmic methods to partition the waveform and artificial neural networks for waveform classification. The system uses the CO2 waveform to detect the mode of breathing during anaesthesia. As initial steps, detection of spontaneous breaths, mechanical breaths, and mechanical breaths with attempts to breath against the ventilator was attempted. The system was trained on data from 5 surgical cases and was tested on 12 cases. Of 21 breaths with signs of patient attempts to breathe against the ventilator, 18 were properly identified by the system. There were no false identifications.",
author = "Navabi, {Mohammad J.} and Watt, {Richard C.} and Mylrea, {Kenneth C.} and Hameroff, {Stuart R.}",
year = "1990",
language = "English (US)",
isbn = "0879425598",
series = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
publisher = "Publ by IEEE",
number = "pt 3",
pages = "1455--1456",
booktitle = "Biomedical Engineering Perspectives",
edition = "pt 3",
note = "Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 01-11-1990 Through 04-11-1990",
}