brain-computer interfaces (bci) record brain signals, analyze and translate them into control commands which are relayed to output devices that carry out desired actions. these systems do not use normal neuromuscular output pathways. actually, the principal goal of bci systems is to provide better life style for physically-challenged people which are suffered from cerebral palsy, amyotrophic la...

we compare performance of adaptive schemes which are based on radial-basis functions and kalman filters for fast extraction of auditory evoked potentials. moreover, we propose a new method based on evoked potential modeling in the kalman filter framework, which can improve the accuracy compared to the existing methods. simulation results show that adaptive schemes and the kalman method are not ...

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...

Simultaneous EEG-fMRI is a non-invasive investigation technique developed to localize the generators of interictal epileptiform discharges (IED) in patients with epilepsy. Although the value of EEG-fMRI in epilepsy presurgical evaluation is being assessed clinically, its utility is still controversial. In this review, we considered EEG-fMRI applications in epilepsy presurgical evaluation with a...

Methods for rapid and objective quantification of interictal spikes in raw, unprocessed electroencephalogram (EEG) samples are scarce. We evaluated the accuracy of a tailored automated spike quantification algorithm. The automated quantification was compared with the quantification by two board-certified clinical neurophysiologists (gold-standard) in five steps: 1) accuracy in a single EEG chan...

Introduction Simultaneous acquisition of fMRI and EEG is thought to be a potential solution for enhancing the temporal resolution of fMRI. To enhance the temporal resolution of fMRI with aids of the EEG data, it is essential to match the fMRI data precisely with the EEG data in the spatial domain. For better spatial matching between fMRI and EEG, we applied EEG source localization to the EP/ERP...

EEG contains a wealth of physiological, psychological and pathological information, EEG signal analysis and processing are either in clinical of some brain disease diagnosis and treatment, or in the cognitive science research fields are very important. According to the basic characteristics of EEG signal, discusses the EEG signal acquisition principle, method and the design train of thought. Pr...

ASSESSMENT OF FETAL HEART RATE VARIABILITY AND REACTIVITY DURING LABOUR – A NOVEL APPROACH Sofia Blad 1 ENTROPY OF THE NEONATAL EEG Nils Löfgen 3 DETECTION OF BURSTS IN THE EEG OF POST ASPHYCTIC NEWBORNS Johan Löfhede 5 THE TRANSCEPHALIC ELECTRICAL IMPEDANCE METHOD PRINCIPLES FOR BRAIN TISSUE STATE MONITORING Fernando Seoane 7 SPECTRAL FEATURES OF THE EEG ARE UNLIKELY TO DIFFERENTIATE BETWEEN N...

introduction: temporal lobe epilepsy (tle) is the most common and drug resistant epilepsy in adults. due to behavioral, morphologic and electrographic similarities, pilocarpine model of epilepsy best resembles tle. this study was aimed at determination of the changes in electroencephalogram (eeg) sub-bands amplitude during focal seizures in the pilocarpine model of epilepsy. analysis of these c...