Abstract
Based on the analysis delayed ischemia after subarachnoid hemorrhage indicators, a new approach to the analysis of data from long-term electroencephalographic patients monitoring is proposed and described. It is based on the analysis of the wavelet transforms ridges, in which the power spectrum density, frequency and phase, are equal to the square amplitude, the frequency and the phase of the signal respectively. The main formulas justifying this approach are given. Illustrations of the use Morlet wavelet spectrograms in the electroencephalogram’s analysis of the patient in prefrontal leads are presented the first day after subarachnoid hemorrhage before the development of delayed cerebral ischemia and the seventh day, when the patient had an acute period of delayed ischemia. One of the indicators of delayed ischemia, which has a prognostic value of its development, is the number of events of epileptiform activity per unit of time (usually per hour). A new method for detecting epileptiform activity based on the detection of interchannel synchronization of wavelet spectrogram ridges has been proposed and described.
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