Mühendislik Fakültesi / Faculty of Engineering Elektrik - Elektronik Mühendisliği / Electrical-Electronic EngineeringAkan, AydınDemiralp, TamerGÜRKAN, GÜRAY2018-12-192018-12-1920101211-412Xhttps://hdl.handle.net/11413/4028In 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.en-USconferenceObject