Electroencephalography (EEG) measures the electrical brain activity in real-time by using sensors placed on scalp. Artifacts, due to eye movements and blink, muscular/cardiac generic disturbances, have be recognized eliminated allow a correct interpretation of useful signals (UBS) EEG. Independent Component Analysis (ICA) is effective split signal into independent components (ICs) whose re-proj...

Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...

Recently, a large set of electroencephalography (EEG) data is being generated by several high-quality labs worldwide and is free to be used by all researchers in the world. On the other hand, many neuroscience researchers need these data to study different neural disorders for better diagnosis and evaluating the treatment. However, some format adaptation and pre-processing are necessary before ...

No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without prior written permission from the Publisher. Support vector machine classification of multi-channel EEG traces: A new tool to analyze the brain response to morphine treatment. Classification of singl...

Active rehabilitation involves patient's voluntary thoughts as the control signals of restore device to assist stroke rehabilitation. Although restoration of hand opening stands importantly in patient's daily life, it is difficult to distinguish the voluntary finger extension from thumb adduction and finger flexion using stroke patients' electroencephalography (EMG) on single muscle activity. W...

© The Author(s) 2014 C. Guger et al. (eds.), Brain-Computer Interface Research, SpringerBriefs in Electrical and Computer Engineering, DOI 10.1007/978-3-319-09979-8_2 The major driving force behind the development of brain computer interfaces (BCI) has been the desire to re-establish communication for severely paralyzed or even locked-in patients. As a consequence, different strategies have bee...

Continuous electroencephalography (EEG) is a major tool for monitoring patients admitted to the intensive care unit after refractory convulsive status epilepticus, following control of movements. We review values different EEG patterns observed in critically ill prognosis and seizure risk, together with proposed criteria non-convulsive epilepticus diagnosis (Salzburg Criteria), scores (Epidemio...

how to cite this article: asadi-pooya aa, emami m. effects of antiepileptic drugs on electroencephalographic findings inpatients with idiopathic generalized epilepsy. iranian journal of child neurology 2011;5(4):33-36. objective several antiepileptic drugs (aeds) such as phenobarbital (pb), carbamazepine (cbz), and valproate (vpa) may suppress interictal epileptiform activity. we investigated t...

Electroencephalography, or EEG for short, is a technique used to record the electrical activity of brain. This detects errors that affect how human brain functions. method most commonly recording in laboratory research, clinical investigations, patient health monitoring, diagnostics, and variety other applications due its non-invasiveness cost-benefit ratio. Most recordings are contaminated by ...