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...

background diffusion-weighted imaging (dwi) is a form of magnetic resonance imaging (mri) based on measuring the random brownian motion of water molecules within the biological tissues and is particularly useful in tumor characterization. objectives the purpose of this study was to evaluate the diagnostic value of dw mri and the apparent diffusion coefficient (adc) for preoperative grading of a...

Introduction: Mental arithmetic analysis based on Electroencephalogram (EEG) signal for monitoring the state of the user’s brain functioning can be helpful for understanding some psychological disorders such as attention deficit hyperactivity disorder, autism spectrum disorder, or dyscalculia where the difficulty in learning or understanding the arithmetic exists. Most mental arithmetic recogni...

the record of human brain neural activities, namely electroencephalogram (eeg), is generally known as a non-stationary and nonlinear signal. in many applications, it is useful to divide the eegs into segments within which the signals can be considered stationary. combination of empirical mode decomposition (emd) and hilbert transform, called hilbert-huang transform (hht), is a new and powerful ...

With respect to the dramatic increasing use of electronically communicators and wireless modems, concerns have been raised about the possible effects of emitted electromagnetic radiation on human brain. In this paper, the effects of high-frequency wireless modem waves on the brain signal are investigated. To this end, the Electroencephalograph (EEG) recording of 15 volunteers is examined in fou...

The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition (EMD) and Hilbert transform, called Hilbert-Huang transform (HHT), is a new and powerful ...