Automatic detection and analysis of the EEG sharp wave-slow wave patterns evoked by fluorinated inhalation anesthetics
| Autor: | Adam Jozwik, Tomasz Byrczek, Radosław Marciniak, Aleksander Sobieszek, Tiaza Bem, Wojciech Zmyslowski, Przemysław Jałowiecki, Elzbieta Olejarczyk |
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| Rok vydání: | 2011 |
| Předmět: |
Methyl Ethers
Electroencephalography Sevoflurane Inhalation Anesthetics Desflurane Nuclear magnetic resonance Physiology (medical) medicine Humans Arthroplasty Replacement Knee Aged medicine.diagnostic_test Isoflurane Chemistry Volatile anesthetic Brain Signal Processing Computer-Assisted Middle Aged Brain Waves Sensory Systems Neurology Anesthesia Anesthetic Anesthetics Inhalation Neurology (clinical) Sharp wave medicine.drug |
| Zdroj: | Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 123(8) |
| ISSN: | 1872-8952 |
| Popis: | The aim of this study was to develop a method for the automatic detection of sharp wave-slow wave (SWSW) patterns evoked in EEG by volatile anesthetics and to identify the patterns' characteristics.The proposed method consisted in the k-NN classification with a reference set obtained using expert knowledge, the morphology of the EEG patterns and the condition for their synchronization. The decision rules were constructed and evaluated using 24h EEG records in ten patients.The sensitivity, specificity and selectivity of the method were 0.88 ± 0.10, 0.81 ± 0.13 and 0.42 ± 0.16, respectively. SWSW patterns' recruitment was strictly dependent on anesthetic concentration. SWSW patterns evoked by different types of anesthetics expressed different characteristics.Synchronization criterion and adequately selected morphological features of "slow wave" were sufficient to achieve the high sensitivity and specificity of the method.The monitoring of SWSW patterns is important in view of possible side effects of volatile anesthetics. The analysis of SWSW patterns' recruitment and morphology could be helpful in the diagnosis of the anesthesia effects on the CNS. |
| Databáze: | OpenAIRE |
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