Study of Parameters and Properties of Approximate Entropy of EEG at Various Anesthesia Stages
The approach to recognition of anesthesia stages by electroencephalogram (EEG) based on the parameters of theapproximate entropy (Kolmogorov entropy estimation) is considered. The performance properties were studied on model signals and the experiments were conducted that allowed selecting a set of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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FRUCT
2017-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/abstract20/files/Mig.pdf |
| Summary: | The approach to recognition of anesthesia stages by electroencephalogram (EEG) based on the parameters of theapproximate entropy (Kolmogorov entropy estimation) is considered. The performance properties were studied on model signals and the experiments were conducted that allowed selecting a set of parameters of approximate entropy for EEG analysis. It was shown that this method provides reliable recognition of two states: deep anaesthesia and wake condition after awakening. |
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| ISSN: | 2305-7254 2343-0737 |