the recent literatures indicate that central nervous system (cns) is highly vulnerable to systemic hyperthermia induced by whole body heating on conscious animals. in the present study, cerebral electrical activity or eeg (electroencephalogram) following exposure to high environmental heat has been studied in moving rats. rats were divided into three group (i) acute heat stress-subjected to a s...

Introduction: Epileptic seizure detection is a key step for both researchers and epilepsy specialists for epilepsy assessment due to the non-stationariness and chaos in the electroencephalogram (EEG) signals. Current research is directed toward the development of an efficient method for epilepsy or seizure detection based the limited penetrable visibility graph (LPVG) algorith...

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Introduction: Ensuring an adequate Depth of Anesthesia (DOA) during surgery is essential for anesthesiologists. Since the effect of anesthetic drugs is on the central nervous system, brain signals such as Electroencephalogram (EEG) can be used for DOA estimation. Anesthesia can interfere among brain regions, so the relationship among different areas can be a key factor in the anesthetic process...

An EEG is a recording of the electrical signals produced by activity within the brain. A variety of cognitive and pathologies yield specific EEG signatures, which are diagnostic of the condition. As a clinical EEG may contain non-stationary signals, we have employed a Daubechies wavelet to automatically detect embedded signals that vary both in their frequency and magnitude from a clinical EEG ...