An electroencephalogram (EEG) is a recording of various frequencies electrical activity in the brain. EEG signal very useful for diagnosis brain related diseases at early stage to prevent severe issues which may lead loss life. The raw captured through leads contain different type noises not susceptible diagnosis. In this paper, an efficient algorithm proposed process combat noise. To obtain no...

The detection of stress is important because it contributes to diverse pathophysiological changes including sudden death. Various techniques have been used evaluate in terms questionnaire or by quantifying the physiological signals. Electroencephalogram signals are highly useful measuring human stress. Therefore, solve and detect problem, this work had extracted electroencephalogram features th...

Substance abuse is an important hygienic, psychic and social problem in the world. Gabapentin is a new antiepileptic drug that is used in neurological and psychiatric disorders. Moreover, the effects of gabapentin on increasing the analgesic effect of morphine and its inhibitory effect on dopamine release due to morphine in animal models have been proved. In the present study, the effect of gab...

Substance abuse is an important health, psychological and social problem in the world. Gabapentin is a new antiepileptic drug. It is used in neurological and psychiatric disorders. Moreover the effects of gabapentin on increasing the analgesic effect of morphine and its inhibitory effects on dopamine release due to morphine in animal models have been proved. In the present study, the effect of ...

Substance abuse is an important hygienic, psychic and social problem in the world. Gabapentin is a new antiepileptic drug that is used in neurological and psychiatric disorders. Moreover, the effects of gabapentin on increasing the analgesic effect of morphine and its inhibitory effect on dopamine release due to morphine in animal models have been proved. In the present study, the effect of gab...

In this paper, we will consider the problem of classifying electroencephalogram (EEG) signals of normal subjects, and subjects suffering from psychiatric disorder, e.g., obsessive compulsive disorder, schizophrenia, using a class of artificial neural networks, viz., multi-layer perceptron. It is shown that the multilayer perceptron is capable of classifying unseen test EEG signals to a high deg...

This paper describes a study regarding the detection of silent visual reading and non reading mental activities through electroencephalogram (EEG) processing. Our work is in the context of human computer interaction research field, and we pretend to integrate EEG signals in applications to assist and analyze reading tasks. The need of users to be constantly and tightly coupled with the applicat...