Publication:
Application of stockwell coherence to prediction of alertness under anaesthesia

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2010

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Akan, Aydın
Demiralp, Tamer

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Research Projects

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Abstract

In this paper, we represent an application of Stockwell Coherence to scalp EEG signals under anesthesia. By the analysis of overlapping, stationary data segments, we obtained the time-varying Stockwell coherence, which reveals the time evolution of coherence changes between any selected channel pair. After the injection and release of the anesthetic agent, time-varying Stockwell coherence analyses demonstrate similar characteristics for different patients.

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