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Toplam kayıt 10, listelenen: 1-10
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 ...
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 ...
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 ...
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 ...
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 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 ...
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 ...
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 ...
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 ...
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 ...