Principal Component Analysis and Gabortransform in analysing burst-suppression EEG under propofol anaesthesia
SourceSleep-Wake Research in the Netherlands, 12, (2001), pp. 75-80
Article / Letter to editor
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SW OZ DCC SMN
Sleep-Wake Research in the Netherlands
The electroencephalogram (EEG) can be used in a variety of fields to examine the state and the dynamics of the human brain. The normal states of vigilance such as sleep and wakefulness but also system disorders such as epilepsy and brain damage, as well as abnormal levels of vigilance such as coma and anaesthesia can be studied by the EEG. To gain more insight in the possibility to use the EEG during operative monitoring, an experiment was carried out with 20 patients to study the changes in the EEG during deepening of anaesthesia. Burst Suppression Pattern (BSP) is a characteristic signal which can be recognised in the EEG during deepening of anaesthesia. It consists of high-voltage periods of bursts and low-voltage periods of suppression, both lasting from 1.5 to 6 seconds. This pattern occurs in different conditions ranging from brain damage, anoxia, coma and neonates 'at risk' to deep anaesthesia. In this study the focus is on BSP during propofol-anaesthesia in humans. This paper gives an overview of two techniques used to analyse the EEG during BSP. The two techniques are the Principal Component Analysis (PCA) and the Gabortransform. Both techniques do not depend on amplitude and duration derived from the BSP. The aim of the experiment is to search for basic patterns in the BSP EEG. To this end the two mentioned techniques were used to find basic patterns in the BSP.
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