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A capacitive motion sensor that can detect human walking and motions up to a certain distance was designed using polydimethylsiloxane (PDMS) as the primary sensor material. A read‐out circuit was designed to detect capacitive coupling with the sensor material caused by the motion in the surrounding. The read‐out circuit consists of sensing, filtering, and amplifying stages. A high‐pass filter was...
A pectoral muscle usually resembles a salient dense region, which is roughly triangular shape, in mediolateral oblique (MLO) position mammography. Similarly, masses usually appear to be salient dense in mammograms. Therefore, first of all, most computer-aided detection (CAD) systems remove the pectoral muscle region in order to reduce the number of false positives. In this study, a method is proposed...
Early detection and monitoring of heart diseases increase human quality of life and this can prevent negative consequences. It is even more important because it can prevent sudden deaths. In today's technology, these operations can be done with telemedicine systems. In this work, appropriate methods have been proposed for telemedicine systems. The proposed system is of two classes and is based on...
Detection of ST segment depression, elevation, or an arrhythmia in the ECG signal is very important for the early detection of a myocardial infarction. In this study, an algorithm based on Zhao-Atlas-Mark time-frequency distribution was developed in order to early detection of ST segment depression, elevation or arrhythmia on ECG signal. The performance evaluation of the algorithm was performedon...
Nowadays, detection of limb movements from electroencephalogram (EEG) signals is crucial issue to focus on. Many studies on the movement detection of the limbs such as arm, leg, wrist limbs exist, while there are few studies regarding finger movements. Our study aims to determine the best classified finger pairs using binary classification with highest accuracy among individual finger movements. In...
In this study, the effect of the luminance level on the emotional evaluation was investigated using P300 waves observed in electroencephalography (EEG) records. EEG records of 31 helathy individuals were used in this study. The power graphs of records were examined and statistical analysis of the features obtained these power values was performed. With the findings, it was tried to find out how the...
In this work we proposed an adaptive anisotropic filtering method for removing unwanted noise information that may occur in cone beam computed tomography (CBCT) images. The data used in this study consist of 1200 different image sections obtained from 30 different patients who came to Karadeniz Technical University, Faculty of Dentistry, Department of Oral Diagnosis and Radiology Clinic for routine...
The purpose of the study is to observe the effect of the level of luminance on the emotional evaluation (positive, negative, neutral) in electroencephalography (EEG) records. EEG records of 31 healthy volunteers were used in the study. Features were obtained from these records by using Principle Component Analysis (PCA) method. As a result of the analysis of the features, it was observed that the...
Early detecetion of ST segment's depression or elevation is very important for prevention of myocardial ischemia and it is very important to prevent a myocardial infarction that may occur in the future. In this study, an algorithm based on Choi-Williams time-frequency distribution was developed in order to early detection of ST segment's depressions or elevations. The performance evaluation of the...
The development in information technology and wearable technologies has had a significant impact on clinical decision support systems. In this process a lot of data needs to be transferred and processed. Therefore, it is necessary to compress the data with minimum loss. Compression techniques in electrocardiographic signals is a topic of growing importance. In this study, we analyzed the effect of...
In this study, a method was proposed that eliminated the non-suspicious salient regions for the detection and segmentation of masses in mammograms. Since suspicious regions are generally salient dense regions, the method firstly extracts the maximum regions of interest (ROIs) that have the optimum lifetime. Subsequently, these ROIs are segmented with the rule-based elimination using morphological...
The method of time-frequency analysis are the ways that mainly are used to analyze electroencephalography (EEG) signals. In our previous studies, we proved that watching 2D and 3D of a movie causes different effects in EEG signals. In this paper, we used dataset of previous study and mean of five EEG frequency bands as features. To obtain these frequency bands, a frequency analysis and two time-frequency...
Innovations in the field of health increase with the developing technology nowadays. These technological advances in the health field have enabled us to meet with telemedicine applications. Telemedicine is the use of computer technologies and the Internet infrastructure so that we can access health services without going to the hospital. In telemedicine applications, patients can access past electronic...
By using a brain-computer interface system (BCIs) humans can be enable direct communication with a computer or electronic device. In our previous works, we proved that gaze on the different rotation vanes causes a different effects on EEG signals. This paper proffers a novel BCI system based on this issue. Our BCI system proposes to identify four different rotating vane from EEG Signals that represents...
Speaker identification is a field of which usage grows faster in security systems and forensic sciences. Depending on the tasks, online or offline applications are presented. It is an important problem that how much they are accurate, how much they are fast or how hard is its computation. In this study, the accuracy and the speed of the classifiers that can be used on speaker identification and the...
The aim of this study is to investigate the effect of the difference in level of luminance of visual stimuli on the emotional evaluation (negative, positive, neutral) from electroencephalogram (EEG) data recorded. EEG records of 31 healthy individuals were used in the study. These records were analyzed on the frequency domain using the Welch method and the features obtained after the analysis were...
The accurate detection of the border surrounding the apical lesions observed in cone-beam Computed Tomography (CT) images is very important for the accurate calculation of the features of these lesions. This study describes a semi-automatic hybrid segmentation method that will be used to determine the limits of apical lesions observed in three-dimensional (3D) KIBT images. The apical cyst and tumor...
Telemedicine has started to be beneficial to patients in remote regions. It is very important to monitor the ECG signals of these patients with heart disorders. Developments in information technology have started to provide important contribution to the clinical decision support systems for early detection and diagnosis. This study aimed to be part of clinical decision support systems and used easily...
Detection of mental task in Brain- Computer Interface (BCI) is a crucial issue for different application, especially rehabilitation. As known, frontal lobe the largest cortex of brain is involved in function like thinking, planning and organization. The aim of study is detection of motor imagery-based hand grasping. Thus, channels located on frontal lobe are focused on. Laplacian reference channel...
The aim of this study is to investigate the impact of luminance level on the emotional evaluation from electroencephalography (EEG) records. EEG recordings obtained from 31 healty partipicants were used in this study. Featıres were obtained from EEG recordings using short time fourier transform (STFT) and Hjorth descriptors. According to the performance evaluation results (accuracy percentage), the...
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