Comparison of wavelet transform and FFT methods in the analysis of EEG signals
M Akin - Journal of medical systems, 2002 - Springer
In this study, whether the wavelet transform method is better for spectral analysis of the brain
signals is investigated. For this purpose, as a spectral analysis tool, wavelet transform is …
signals is investigated. For this purpose, as a spectral analysis tool, wavelet transform is …
[PDF][PDF] Zemberek, an open source NLP framework for Turkic languages
AA Akın, MD Akın - Structure, 2007 - Citeseer
Most of the NLP solutions in the IT world are based on Indo-European languages. The inherent
challenges of agglutinative languages and lack of present solutions for Turkic languages …
challenges of agglutinative languages and lack of present solutions for Turkic languages …
Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application
Electroencephalography (EEG) is widely used in clinical settings to investigate neuropathology.
Since EEG signals contain a wealth of information about brain functions, there are many …
Since EEG signals contain a wealth of information about brain functions, there are many …
[PDF][PDF] Automatic Detection of Schizophrenia by Applying Deep Learning over Spectrogram Images of EEG Signals.
Accepted: 20 March 2020 This study presents a method that aims to automatically diagnose
Schizophrenia (SZ) patients by using EEG recordings. Unlike many literature studies, the …
Schizophrenia (SZ) patients by using EEG recordings. Unlike many literature studies, the …
Can white spot lesions be treated effectively?
M Akin, FA Basciftci - The Angle Orthodontist, 2012 - meridian.allenpress.com
Objective: To compare the effects of sodium fluoride mouth rinse, casein phosphopeptide-amorphous
calcium phosphate (CPP-ACP), and the microabrasion technique in treating white …
calcium phosphate (CPP-ACP), and the microabrasion technique in treating white …
Estimating vigilance level by using EEG and EMG signals
We developed a new method for estimation of vigilance level by using both EEG and EMG
signals recorded during transition from wakefulness to sleep. Previous studies used only EEG …
signals recorded during transition from wakefulness to sleep. Previous studies used only EEG …
A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals
This study presents a method with high accuracy performance that aims to automatically detect
schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related literature …
schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related literature …
Automatic recognition of alertness level by using wavelet transform and artificial neural network
We propose a novel method for automatic recognition of alertness level from full spectrum
electroencephalogram (EEG) recordings. This procedure uses power spectral density (PSD) …
electroencephalogram (EEG) recordings. This procedure uses power spectral density (PSD) …
COLOR: a randomized clinical trial comparing laparoscopic and open resection for colon cancer
…, K Giffard, J Miller, M Schein, C Erenoglu, ML Akin… - Digestive surgery, 2000 - karger.com
Background: Laparoscopic surgery has proven to be safe and effective. However, the value
of laparoscopic resection for malignancy in terms of cancer outcome can only be assessed …
of laparoscopic resection for malignancy in terms of cancer outcome can only be assessed …
Estimation of sleep stages by an artificial neural network employing EEG, EMG and EOG
Abstract Analysis and classification of sleep stages is essential in sleep research. In this
particular study, an alternative system which estimates sleep stages of human being through a …
particular study, an alternative system which estimates sleep stages of human being through a …
