Background: Muscle fatigue has been known to influence brain activity, but very little is known about how cortical centers respond to muscle fatigue.Objective: This study was conducted to investigate the effects of muscle contraction and fatigue induced by two different percents of maximal voluntary contraction (MVC) on Electroencephalography (EEG) signals.Material and Methods: In t...

It is often needed to label electroencephalogram (EEG) signals by segments of similar characteristics that are particularly meaningful to clinicians and for assessment by neurophysiologists. Within each segment, the signals are considered statistically stationary, usually with similar characteristics such as amplitude and/or frequency. In order to detect the segments boundaries of a signal, we ...

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: according to role of emotions in human’s life, if they can be recognized contemporary with facial expression by eeg signals, it can discriminate between real abd artificial emotions. this ability can be applied in lie detector and be also helpful to patients that able to feel emotions but can’t show it with facial expression. methods: in this study, some emotion induction experime...

Localization of sources in patients with focal seizure has recently attracted many attentions. In the severe cases of focal seizure, there is a possibility of doing neurosurgery operation to remove the defected tissue. The prosperity of this heavy operation completely depends on the accuracy of source localization. To increase this accuracy, this paper presents a new weighted beamforming method...

Many biological signal analyses have been proceeded in various research fields. In particular, electroencephalographic (EEG) signal analyses have attracted attention because the EEG signal includes a mixture of endogenous brain activities. However, the EEG signal is often mixed physiological artifacts such as the eye blinking, oculogyration, heart beat, or muscle activity. Specifically, humans ...

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...

we propose a novel approach for detecting precursors to epileptic seizures in intracranial electroencephalograms (ieeg), which is based on the analysis of system dynamics. in the proposed scheme, the largest lyapunov exponent of the discrete wavelet packet transform (dwpt) of the segmented eeg signals is considered as the discriminating features. such features are processed by a support vector ...