نتایج جستجو برای: quantitative eeg

تعداد نتایج: 347109  

Journal: :Child and adolescent psychiatric clinics of North America 2005
Jonathan E Walker Gerald P Kozlowski

With electroencephalographic (EEG) biofeedback (or neurofeedback), it is possible to train the brain to de-emphasize rhythms that lead to generation and propagation of seizure and emphasize rhythms that make seizures less likely to occur. With recent improvements in quantitative EEG measurement and improved neurofeedback protocols, it has become possible in clinical practice to eliminate seizur...

2017
Celina A Reis Paula Camille Reategui Bruna Karen de Sousa Costa Caio Queiroz da Fonseca Luana da Silva Edgard Morya Fabricio Lima Brasil

Autism spectrum disorder (ASD) is a neuropsychiatric disorder characterized by the impairment in the social reciprocity, interaction/language, and behavior, with stereotypes and signs of sensory function deficits. Electroencephalography (EEG) is a well-established and noninvasive tool for neurophysiological characterization and monitoring of the brain electrical activity, able to identify abnor...

Journal: :Journal of forensic and legal medicine 2009
Ana Calzada Reyes Alfredo Alvarez Amador

Resting eyes closed electroencephalogram was studied in a group of violent offenders evaluated at Psychiatric Department of the Legal Medicine Institute in Cuba (18 with antisocial personality disorder, ASPD, and 10 without psychiatric diagnosis). Characteristics of the EEG visual inspection and the use of frequency domain quantitative analysis techniques (narrow band spectral parameters) are d...

P Katibeh, S Kazemi

Background: Migraine headache without aura is the most common type of migraine especially among pediatric patients. It has always been a great challenge of migraine diagnosis using quantitative electroencephalography measurements through feature classification. It has been proven that different feature extraction and classification methods vary in terms of performance regarding detection and di...

Journal: :Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology 1999
A D Krystal R Prado M West

OBJECTIVE Those who analyze EEG data require quantitative techniques that can be validly applied to time series exhibiting ranges of non-stationary behavior. Our objective is to introduce a new analysis technique based on formal non-stationary time series models. This novel method provides a decomposition of the time series into a set of 'latent' components with time-varying frequency content. ...

Journal: :Journal of neurophysiology 2013
A Zayachkivsky M J Lehmkuhle J H Fisher J J Ekstrand F E Dudek

Serial EEG recordings from immature rat pups are extremely difficult to obtain but important for analyzing animal models of neonatal seizures and other pediatric neurological conditions as well as normal physiology. In this report, we describe the features and applications of a novel miniature telemetry system designed to record EEG in rat pups as young as postnatal day 6 (P6). First, we have r...

Journal: :Advances in medical sciences 2008
W Sobaniec W Kulak B Bielewicz P Sobaniec

PURPOSE Annual changes in powers of the close-eyed EEG were measured over 12 months in 12 patients with epilepsy. MATERIAL AND METHODS The present study included 12 patients aged 14.6+/-2.7 years with chronic epilepsy, suffering for 6-14 years. EEGs were recorded every month between 9 and 11 a.m. Five patients had generalized seizures and 7 partial complex seizures secondarily generalized. Vi...

Journal: :Journal of neuroscience methods 2001
O A Rosso S Blanco J Yordanova V Kolev A Figliola M Schürmann E Başar

Since traditional electrical brain signal analysis is mostly qualitative, the development of new quantitative methods is crucial for restricting the subjectivity in the study of brain signals. These methods are particularly fruitful when they are strongly correlated with intuitive physical concepts that allow a better understanding of brain dynamics. Here, new method based on orthogonal discret...

ژورنال: بیهوشی و درد 2017

 Aims and background:    This    study    develops    a    computational    framework    for    the    classification    of    different    anesthesia    states,    including    awake,    moderate    anesthesia,    and    general    anesthesia,    using    electroencephalography    (EEG)    signals    and    peripheral    parameters. Materials and Methods: The    proposed    method    proposes ...

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