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Öğe Comparison of some spectral analysis methods in detection of sleep spindles using YSA [Uyku I?ci?i Tespitinde Bazi Spektral Analiz Yöntemlerinin YSA kullanilarak Karşilaştirilmasi](Institute of Electrical and Electronics Engineers Inc., 2015) Ozsen S.; Dursun M.; Yosunkaya S.Sleep spindle is a very determinant factor for detection of Non-REM2 stage in sleep staging studies. When it is considered that about half of the sleep consists of Non-REM2 stage, the importance of automatic sleep spindle detection stands out. In this study, three different spectral analysis method- FFT, Welch and AR have been used to estimate the frequency spectrum of sleep EEG signal and feature extraction from this spectrum has been realized. Obtained features have been used in ANN to classify EEG epochs as epochs with spindle and epochs without spindle. It has been observed that least classification error was obtained with FFT as 15.16%. © 2015 IEEE.Öğe Detection of the electrode disconnection in sleep signals [Uyku Sinyallerindeki Elektrod Kopuklu?unun Tespit Edilmesi](Institute of Electrical and Electronics Engineers Inc., 2015) Yücelbaş C.; Özşen S.; Yücelbaş S.; Tezel G.; Dursun M.; Yosunkaya S.; Küççüktürk S.Sleep staging process that is performed in sleep laboratories in hospitals has an important role in diagnosing some of the sleep disorders and disturbances which are seen in sleep. And also it is an indispensable method. It is usually performed by a sleep expert through examining during the night of the patients (6-8 hours) recorded Electroencephalogram (EEG), Electrooculogram (EOG), Electromyogram (EMG), electrocardiogram (ECG) and other some signals of the patients and determining the stages of sleep in different time sections named as epochs. Manual sleep staging is preferred among the sleep experts but because it is rather tiring and time consuming task, automatic sleep stage scoring studies has come to the fore. However, none of the so far made automatic sleep staging was not accepted by the experts. The most important reason is that the results of the automated systems are not desired accuracy. There are many factors that affecting the accuracy of the systems, such as noise, the inter-channel interference, excessive body movements and disconnection of electrodes. In this study, we examined the written an algorithm to be able to determine to what extent the disconnection of electrodes in EEG signal that obtained one healthy person at the sleep laboratory of Meram Medicine Faculty of Necmettin Erbakan University. According to the obtained application results, the electrodes disconnection in EEG signal could be detected maximum of 100% and minimum of 99.12% accuracy. Accordingly, based on the success achieved in the study, this algorithm is thought to contribute positively to the researchers that the work on and will work on sleep staging problems and increase the success of automatic sleep staging systems. © 2015 IEEE.Öğe Evaluation of hemostatic changes during isoflurane and desflurane anaesthesia using thrombelastography in intracranial mass surgery [İntrakraniyal kitle cerrahisinde desfluran ve i?zofluran anestezisinin hemostatik sistem üzerine olan etkilerinin tromboelastografi yöntemi ile de?erlendirilmesi](2008) Dursun M.; Tavlan A.; Topal A.; Erol A.; Otelcio?lu Ş.Aim: The aim of this study is evaluation of hemostatic changes during isoflurane and desflurane anaesthesia using thrombclastography in intracranial mass surgery. Material and Methods: Fourty ASA I-III patients between ages 18-65 undergoing supratentorial craniotomy operations were included in the study. Heart rate, mean arterial pressure, peripheral oxygen saturation, PaCO 2, ETCO2 pressure, peripheral body temperatures were monitorized. All patients were applied 1 pg kg-1 remifentanil iv bolus for 60 seconds during anaesthesia induction. Following the remifentanil application, 2 mg kg-1 iv bolus propofol was applied. After loss of consciousness, tracheal intubation was faeiliated with 0.5 mg kg-1 atracurium. For maintenance of anaesthesia, 0.5 MAC isoflurane for group I, 0.5 MAC desflurane for group D was used. TEG parameters were performed preoperatively, at the 60th minute of induction, and at 24th hour postoperatively. Results: No statistically significant difference was present in measurement of reaction time, coagulation time, alpha angle and maximum amplitude values among and in between the groups (P>0,05). Conclusion: In this study we compared hemostatic changes during isoflurane and desflurane anaesthesia using thrombclastography in intracranial mass surgery; we concluded that both desflurane and isoflurane do not change TEG parameters, do not have any negative effect on hemostatic system and can be used safely in major surgery such as intracranial mass surgery.