Browsing by Subject "EEG"
Now showing items 1-14 of 14
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Automated Temporal Lobe Epilepsy And Psychogenic Nonepileptic Seizure Patient Discrimination From Multichannel EEG Recordings Using DWT Based Analysis
(2022)Psychogenic nonepileptic seizure (PNES) and epileptic seizure resemble each other, behaviorally. This similarity causes misdiagnosis of PNES and epilepsy patients, thus patients suffering from PNES may be treated with ... -
Automatic Detection of Sleep Spindles With Quadratic Discriminant Analysis
(2018)Sleep, is in the event of temporary loss of consciousness. Sleep and wakefulness causes some different kind of potential changes in brain. Transient waveforms observed in sleep electroencephalography are structures with ... -
Continuous Wavelet Transform Based Method For Detection Of Arousal
(2017)Sleeping is a vital biological requirement in the homeostatic mechanism. Sleep disorders can cause personal health problems and life quality deterioration. Transient waveforms (k-complexes, sleep spindles, arousal, etc.) ... -
Detection of Epilepsy Disease From EEG Signals With Artificial Neural Networks
(2016)The diagnosis of the epilepsy diseases are made by physicians with analyzing the electroencephalography (EEG) records. The epilepsy diseases can be determined with observing the main properties of before and on-time seizure ... -
Detection of K-complexes in Sleep EEG With Support Vector Machines
(2017)Sleep is a state that can be characterized by the electrical oscillations of nerve cells, where brain activity is more stable than waking. Transient waveforms observed in sleep electroencephalography are structures with ... -
Detection of Multiple Sclerosis Disease by EEG Coherence Analysis
(2019)Multiple sclerosis (MS) is a chronic and inflammatory disease affecting the brain and spinal cord. Although the exact cause of MS is not known, genetic, environmental and immunological factors are involved in the etiology ... -
Farklı arka lan Gürültülerin informasyonel maskelemeye etkilerinin araştırılması
(Başkent Üniversitesi Sağlık Bilimleri Enstitüsü, 2022)Arka plan gürültü varlığında hedef sesin anlaşılması işitsel sistemin en büyük zorluklarından biridir. Hedef sesin maskelenmesinde iki mekanizma bulunmaktadır: enerjetik ve informasyonel maskeleme. Enerjetik maskeleme ... -
Health related quality of life in patients admitted for video-electroencephalography monitoring diagnosed with epilepsy or psychogenic non-epileptic seizures
(2016)Objective: To determine the health related quality of life (HRQOL) in patients with epilepsy or psychogenic non-epileptic seizures (PNES). Methods: This cross-sectional study was carried out between December 2010 and ... -
Hyperventilation During Routine Electroencephalography: Are Three Minutes Really Necessary?
(2015)OBJECTIVE: Hyperventilation induces absence seizures in children with absence epilepsy, and routine electroencephalography studies include three minutes of hyperventilation. We studied the duration of hyperventilation ... -
Multipl skleroz (MS) ve sağlıklı elektroensefalografi sinyallerinin sınıflandırılması
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2020)Multipl Skleroz (MS), merkezi sinir sisteminin otoimmün olduğu düşünülen kronik, inflamatuar bir demiyelinizan hastalığıdır. MS’in erken tanısı hastalığın tedavisi ve seyri için büyük önem taşımaktadır. Klinikte MS tanısı ... -
Neurofeedback System Design Based On Discrete Wavelet Transform
(2018)Neurofeedback is a learning strategy that helps to alter brain waves called electroencephalography (EEG). Neurofeedback technique is used in the treatment of various diseases such as epilepsy, sleep disorders, attention ... -
A novel electroencephalography based approach for Alzheimer's disease and mild cognitive impairment detection
(2021)Background and objective: Alzheimer's disease (AD) is characterized by cognitive, behavioral and intellectual deficits. The term mild cognitive impairment (MCI) is used to describe individuals whose cognitive impairment ... -
Sağlıklı, hafif bilişsel bozukluk ve alzheimer hastalığı elektroensefalografi sinyallerinin sınıflandırılması
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2020)Demans terimi, beyin hücrelerinin ölümü veya hasar görmesi nedeniyle bilişsel ve davranışsal fonksiyonların bozulması ile karakterize edilen nörodejeneretif bozukluğu tanımlar. Demansın en yaygın görülen türü olan Alzheimer ... -
Uyku bozukluklarına ait eeg verilerindeki geçici eeg dalga formlarının analizi
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2017)Uykuda anlık olarak ortaya çıkan, kendine özgü yapısal özellikleri, genlik ve frekansları olan, elektroensefalografi (EEG)’nin arka planından ayırt edilmesi zor geçici dalga formları(k-kompleksler, uyku iğcikleri, arousal ...