نتایج جستجو برای: eeg بیوفیدبک

تعداد نتایج: 32957  

Journal: یافته 2004
fariba Hooshmand , hojatollah Alaie , mehr afarin Fesharaki ,

Introduction: Lead intoxication in children has been associated with neurodevelopment disabilities that may result in motor and cognitive impairment. The aim of the present study is to evaluate in long term effects of prenatal exposure to low-level Pb2+ on learning, memory and EEG. Materials & Methods: Rat pregnant were exposed to distilled water or 0.05, 0.1, 0.2 % of Pb-acetate in the dr...

ژورنال: پژوهش در پزشکی 2012
آقایاری, هادی, برجسته, سعید, حسن پور عزتی, مجید, قره‌گزلی, کورش , نویدی, حمید رضا ,

Abstract Background: Quantitative Electroencephalography (QEEG) is an effective modality in the study of brain functions in various conditions such as sleep, unconsciousness, seizures and hypnosis. The purpose of the study was to compare sensitivity and specificity of this new analytical procedure (QEEG) in the diagnosis of stroke. Materials and methods: QEEG was performed on 17 healthy p...

2011
Dennis Williams

The first electro encephalo graphy (EEG) on a human was reported by Hans Berger in 1920. The fundamental principle of EEG is to record the electrical activity produced by the brain, using electrodes. In considering the role of EEG in psychiatry almost 25 years later, Dennis Williams (1954) observed that studies of EEG recordings had offered the clinical psychiatrist little of positive value. He...

2013
Yuan Shi Qi Wei Ruijie Liu Yuli Ge

Objective in this paper, we have done Fisher discriminant analysis to Electroencephalogram (EEG) data of experiment objects which are recorded impersonally, come up with a relatively accurate method used in feature extraction and classification decisions. The present study is the groundwork analysis for other analysis in EEG study. Methods In accordance with the strength of  wave, the head ele...

Journal: :journal of ai and data mining 2014
milad azarbad hamed azami saeid sanei a ebrahimzadeh

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 ...

Journal: :BioMedical Engineering OnLine 2017

Journal: :Neurology 2003
Donald L Gilbert Gopalan Sethuraman Uma Kotagal C Ralph Buncher

BACKGROUND EEG results are used for counseling patients with seizures about prognosis and deciding on medications. Published sensitivities of interictal EEG vary widely. OBJECTIVE To account for variation in test characteristics between studies. METHODS Meta-analysis. Medline search, 1970 to 2000, of English language studies. Standard methods for meta-analysis of diagnostic test performance...

2014
Unjoo Lee

Combining Transcranial magnetic stimulation (TMS) and Electroencephaloraphy (EEG) offered insights into neural interaction during cognition which allows the investigation on the causal role of specific brain areas in behavior and the interactive connection between the brain areas. The TMS pulse in the TMS-EEG combining study introduces artifacts in the EEG electrodes which may mask the underlyi...

2000
Robin I. Goldman John M. Stern Jerome Engel Mark S. Cohen

Objective: Electroencephalography (EEG) is a challenge to record simultaneously with functional MRI (fMRI), for it is prone to large artifacts induced by both the static and the time-variant ®elds of the MR scanner. However, truly concurrent EEG/fMRI recording has great potential for clinical and scienti®c neurological applications. We have devised a method for acquiring EEG simultaneously with...

2017
Galina V. Portnova Alina Tetereva Vladislav Balaev Mikhail Atanov Lyudmila Skiteva Vadim Ushakov Alexey Ivanitsky Olga Martynova

Concurrent EEG and fMRI acquisitions in resting state showed a correlation between EEG power in various bands and spontaneous BOLD fluctuations. However, there is a lack of data on how changes in the complexity of brain dynamics derived from EEG reflect variations in the BOLD signal. The purpose of our study was to correlate both spectral patterns, as linear features of EEG rhythms, and nonline...

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