Search Results - "Kocaaslan Atli, Sibel"
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1
Epileptic seizure classifications using empirical mode decomposition and its derivative
Published in Biomedical engineering online (14-02-2020)“…Epilepsy is one of the most common neurological disorders associated with disruption of brain activity. In the classification and detection of epileptic…”
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Journal Article -
2
Attention deficit hyperactivity disorder recognition based on intrinsic time-scale decomposition of EEG signals
Published in Biomedical signal processing and control (01-03-2023)“…Attention deficit hyperactivity disorder (ADHD), a neuro-developmental condition, is characterized by various degrees of impulsivity, hyperactivity, and…”
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Journal Article -
3
Detection of Attention Deficit Hyperactivity Disorder based on EEG feature maps and deep learning
Published in Biocybernetics and biomedical engineering (01-07-2024)“…Attention Deficit Hyperactivity Disorder (ADHD) is a neurological condition, typically manifesting in childhood. Behavioral studies are used to treat the…”
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Journal Article -
4
Auditory event-related potentials demonstrate early cognitive impairment in children with subclinical hypothyroidism
Published in Journal of pediatric endocrinology & metabolism : JPEM (26-07-2019)“…Background The aim of this study was to examine the cognitive functions of children with subclinical hypothyroidism (SH) and healthy children with the use of…”
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Journal Article -
5
Resting Electroencephalography Differences Between Eyes-Closed and Eyes-Open Conditions in Children with Subclinical Hypothyroidism
Published in Turkish archives of pediatrics (01-01-2023)“…Electroencephalography changes that occur during the transition from eyes-closed to the eyes-open state in resting condition are related to the early phase of…”
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Journal Article -
6
Dynamic Sleep Architecture Revealed: Sleep Auditory Evoked Potentials from N100 to P900
Published in Neurological sciences and neurophysiology (01-01-2024)Get full text
Journal Article -
7
Detection of Attention Deficit Hyperactivity Disorder using Decision-level Fusion of Brain Connectivity Information Based on Deep Learning
Published in 2023 Medical Technologies Congress (TIPTEKNO) (10-11-2023)“…Attention Deficit Hyperactivity Disorder (ADHD) is a neurological disorder that often first appears in children. The condition is treated via behavioral…”
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Conference Proceeding -
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Classification of ADHD by Using Multiple Feature Maps of EEG Signals and Deep Feature Extraction
Published in 2023 31st European Signal Processing Conference (EUSIPCO) (04-09-2023)“…Attention Deficit Hyperactivity Disorder (ADHD) is a neurological condition, typically manifesting in childhood. Behavioral studies are used to treat the…”
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Conference Proceeding -
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Detection of Attention Deficit Hyperactivity Disorder Using EEG Signals and Douglas-Peucker Algorithm
Published in 2022 Medical Technologies Congress (TIPTEKNO) (31-10-2022)“…Attention Deficit Hyperactivity Disorder (ADHD) is a neurological disease that typically appears in childhood. The disease has three main symptoms in children:…”
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Conference Proceeding -
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Synchronization Analysis of EEG Epilepsy by Visibility Network Graph and Cross-correlation
Published in 2018 Medical Technologies National Congress (TIPTEKNO) (01-11-2018)“…Epilepsy is a chronic neurological disorder affects people of all ages; this paper presents cross-correlation and state transfer network method to analyze…”
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Conference Proceeding -
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Selection of Intrinsic Mode Functions for Epileptic EEG Classification Using Ensemble Empirical Mode Decomposition
Published in 2019 Medical Technologies Congress (TIPTEKNO) (01-10-2019)“…In this study, it is aimed to select the Intrinsic mode functions that can best distinguish pre-seizure and seizure segments of epileptic EEG signals by using…”
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Conference Proceeding -
12
Classification of epileptic EEG data by using ensemble empirical mode decomposition
Published in 2018 26th Signal Processing and Communications Applications Conference (SIU) (01-05-2018)“…In this study, our aim is to distinguish pre-seizure and seizure data from epileptic EEG signals using Ensemble Empirical Mode Decomposition (EEMD) and various…”
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Conference Proceeding -
13
Uyku Dinamiğinin Çoklu Ses Uyaranları ile Incelenmesi
Published 01-01-2010“…Amaç:Uykuda beyin yanıtlılığının, klasik uyku evreleme ve BİS sistemine göre farklı dönemlerde, işitsel uyaranlar aracılığıyla ve “Uyarılma Potansiyelleri”…”
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Dissertation