Automated classification of stages of anaesthesia by populations of evolutionary optimized fuzzy rules
The detection of stages of anaesthesia is mainly performed on evaluating the vital signs of the patient. In addition the frontal one-channel electroencephalogram can be evaluated to increase the correct detection of stages of anaesthesia. As a classification model fuzzy rules are used. These rules a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2015-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Online Access: | http://www.degruyter.com/view/j/cdbme.2015.1.issue-1/cdbme-2015-0020/cdbme-2015-0020.xml?format=INT |