Objective: Our objective is to study how to obtain features which can reflect the continuity
and internal dynamic changes of electroencephalography (EEG) signals and study an …

Alzheimer's disease (AD) is a neurodegenerative disorder with an unknown etiology and a
significant prevalence. Rapid and accurate detection of AD is crucial to assist in a more …

Background Epilepsy is an important cause of neurological morbidity in children and
adolescents. Clinical parameters are the main diagnostic tools, especially in developing …

The feasibility of using time–frequency (TF) ridges estimation is investigated on multi-
channel electroencephalogram (EEG) signals for emotional recognition. Without decreasing …

A huge amount of people are suffering from brain abnormalities. Different machine learning
approaches and deep learning approaches are implemented on the …

Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons,
causing transient brain dysfunction. The seizures of epilepsy have the characteristics of …

Epilepsy is a common chronic neurological disease of the brain and becomes the second
critical neurological disease following the cerebrovascular disease. It has great significance …

Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics
and assess the general structure of research by analyzing Medical Informatics research with …

For improving the performance of vibration discrimination in terms of dual Mach–Zehnder
interferometric (DMZI) perimeter system, we proposed a novel method based upon the …

Processing visual data and converting it into text plays a crucial role in fields like information
retrieval and data analysis in the digital world. At this juncture, the" image-to-text" …