the objective of this study is development of driver’s sleepiness using visually evoked potentials (vep). vep computed from eeg signals from the visual cortex. we use the steady state veps (ssveps) that are one of the most important eeg signals used in human computer interface systems. ssvep is a response to visual stimuli presented. we present a classification method to discriminate between cl...

Brain-Computer interface systems are a new mode of communication which provides a new path between brain and its surrounding by processing EEG signals measured in different mental states.  Therefore, choosing suitable features is demanded for a good BCI communication. In this regard, one of the points to be considered is feature vector dimensionality. We present a method of feature reduction us...

It has been reported that human subjects exposed to electromagnetic fields exhibit changes in human EEG signals at the frequency of stimulation. The aim of the present study was to expose different parts of the brain to extremely low-frequency magnetic fields locally and investigate EEG power spectrum alters at the frequency of stimulation. EEG relative power spectrum were evaluated at 3, 5, 10...

There are numerous studies on EEG (electroencephalogram) activity during seizures, natural sleep, and administration of central nervous system (CNS)acting drugs such as antiepileptics, antipsychotics, adrenergic agonists, and anesthetics Two common methods of analyzing EEG activity under such conditions are power spectrum analysis and aperiodic analysis. There are certain important differences ...

Introduction Schizophrenia (SCZ) is a common and disabling psychiatric condition. Its diagnosis entirely clinical. Many researchers have looked into electroencephalogram (EEG) power spectrum analysis for SCZ to find specific abnormalities. Objectives The objective of this study was analyze the EEG patients with using spectral density compare them those healthy controls, in order look specificit...

background: driver fatigue is one of the major implications in transportation safety and accounted for up to 40% of road accidents. this study aimed to analyze the eeg alpha power changes in partially sleep-deprived drivers while performing a simulated driving task. methods: twelve healthy male car drivers participated in an overnight study. continuous eeg and eog records were taken during driv...

brain-computer interface systems are a new mode of communication which provides a new path between brain and its surrounding by processing eeg signals measured in different mental states.  therefore, choosing suitable features is demanded for a good bci communication. in this regard, one of the points to be considered is feature vector dimensionality. we present a method of feature reduction us...