An automated Neurological Disorder detection system can be considered as a cost-effective and resource efficient tool for medical healthcare applications. In detection, electroencephalograms are commonly used, but their low signal intensity nonlinear features difficult to analyze visually. A promising approach processing of electroencephalogram signals is the concept entropy, method measure cha...

Understanding the seizure initiation process and its propagation pattern(s) is a critical task in epilepsy research. Characteristics of the pre-seizure electroencephalograms (EEGs) such as oscillating powers and high-frequency activities are believed to be indicative of the seizure onset and spread patterns. In this article, we analyze epileptic EEG time series using nonparametric spectral esti...

Correlation of Continuous Electroencephalograms With Cerebral Blood Flow Measurements During Carotid Endarterectomy • During an 11-month period, 81 endarterectomies under a carefully controlled level of general anesthesia were monitored with continuous electroencephalograms (EEG) and intermittent regional cerebral blood flow (CBF) measurements. There was a high correlation between the CBF (mill...