Yalcin IslerIzmir Katip Celebi University · Department of Biomedical Engineering
Yalcin Isler
Doctor of Philosophy
Associate Professor
About
134
Publications
29,851
Reads
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1,175
Citations
Introduction
Brain-Computer Interfaces, Medical Devices, Biomedical Signal Processing, Pattern Recognition
Skills and Expertise
Additional affiliations
December 2019 - present
May 2012 - December 2019
February 2010 - May 2012
Education
September 2003 - September 2009
September 1994 - September 1996
September 1988 - February 1993
Publications
Publications (134)
Objective:
To determine the optimum miniscrew head design in orthodontic treatments for primary stability and compare stress distribution on a representative bone structure.
Methods:
Miniscrews with cross heads, mushroom-shaped heads, button heads, bracket heads, and through-hole heads were compared using finite element analysis. Miniscrews, who...
Miniscrews are temporary skeletal anchorage devices that are widely used in orthodontic treatment, and their success depends on the placement area, angle, technique, and screw dimensions. This study aimed to investigate the effects of miniscrew lengths, insertion angles, and force directions on a mandible model consisting of teeth, cortical and can...
Objective. This study aimed to investigate age-related changes in cortical auditory evoked potentials (CAEPs) while considering three crucial factors: aging, high-frequency hearing loss and sensation level of the CAEP stimulus. Method. The electrophysiological and audiometric data of 71 elderly participants were analyzed using multiple regression a...
Introduction
Brain-computer interfaces (BCIs) are systems that acquire the brain's electrical activity and provide control of external devices. Since electroencephalography (EEG) is the simplest non-invasive method to capture the brain's electrical activity, EEG-based BCIs are very popular designs. Aside from classifying the extremity movements, re...
Notetaking is considered, by many educators, as one of the critical actions of learning. There are several note-taking methods and approaches. Based on these methods and approaches, various applications, whether mobile, desktop or -Web-based, were developed. In this paper, a novel note-taking application based on a technique, known as Cornell Techn...
INTRODUCTION: Notetaking is considered, by many educators, as one of the critical actions of learning. There are several note-taking methods and approaches. Based on these methods and approaches, various applications, whether mobile, desktop or -Web-based, were developed.OBJECTIVES: In this paper, a novel note-taking application based on Cornell Te...
Motor Hayali Elektroensefalogram (EEG) sinyalleri, Beyin-Bilgisayar Arayüzlerinde (BBA) yaygın olarak kullanılmaktadır. Son yıllarda, büyük uzuv hareketlerinin motor hayali EEG sinyalleri, çeşitli makine öğrenme yaklaşımları kullanılarak sınıflandırılmaya çalışılmıştır. Ancak, hayali parmak hareketlerinin EEG sinyallerinin sınıflandırılması, parmak...
Background:
This study aims to evaluate and compare stiffness and the load to failure values of our novel medial malleolus compression plate (MP) and 3,5mm 1/3 tubular plate (TP) in the treatment of vertical shear fractures of medial malleolar fractures.
Methods:
Fourteen identical synthetic third generation composite polyurethane bone models of...
In recent studies, in the field of Brain-Computer Interface (BCI), researchers have focused on Motor Imagery tasks. Motor Imagery-based electroencephalogram (EEG) signals provide the interaction and communication between the paralyzed patients and the outside world for moving and controlling external devices such as wheelchair and moving cursors. H...
Paroxysmal Atrial Fibrillation (PAF) is the initial stage of the Atrial Fibrillation that is one of the most common arrhythmia types. Although it does not threaten the life directly, it triggers the fatal disorders and it increases the risk of stroke. Therefore, it is essential to diagnose PAF as earlier as possible. For this purpose, there are man...
The model complexity is strictly connected to both the sample size and the number of features in a conventional pattern recognition study. Although there are some sample reduction methods in the literature, they cannot give the highest classifier performance or are not able to achieve the minimum number of samples in general. In this study, we offe...
Material-related printing errors are frequently encountered in 3D printers based on the Fused Filament Fabrication (FFF) technology. When the materials used are investigated, materials such as PLA, ABS, and Nylon are generally preferred at affordable prices. However, printing problems may occur due to the mechanical characteristics difference betwe...
Motor Imaginary (MI) electroencephalography (EEG) signals are generated with the recording of brain activities when a participant imagines a movement without physically performing it. The correct decoding of MI signals have been became an important task due to the application of these signals in the rehabilitation process of paralyzed patients in r...
In addition to the follow-up of daily and some sportive activities, motion analysis is used in many areas such as musculoskeletal system diseases, fall and impact injuries, musculoskeletal diseases, and prosthesis applications, in the stages of diagnosis, treatment, pre-operative planning, and post-treatment recovery. At this point, instead of simp...
Medical devices, which are very expensive in general, are frequently used in all stages of the healthcare. However, as similar to every electronic device, they have a particular lifetime. Over the time, devices may lose their functions and give continuous malfunctions with a need to renew. In addition, outdated technology treats the hospital budget...
Early detection of ovarian cancer is crucial for a good outlook. Different machine learning methods have already proven useful to that effect, but using many features and samples often yields a complex structure of classifier algorithms. This study investigates the effect of four different manifold learning methods prior to well-known classificatio...
Motor Imaginary (MI) electroencephalography (EEG) signals are obtained when a subject imagines a task without essentially applying it. The accurate decoding of MI EEG signals plays an important role in the design of brain-computer interface (BCI) systems due to the use of these signals in the rehabilitation process of paralyzed patients in recent s...
Abstract
Objectives: One of the fields, where additive manufacturing has numerous applications, is biomedical engineering. 3D printing is preferred over traditional manufacturing methodologies, mostly while developing subject-specific implants and medical devices. This study aims to provide a process flow detailing all the stages starting from the...
Introduction
Steady-state visually evoked potentials (SSVEPs) have become popular in brain-computer interface (BCI) applications in addition to many other applications on clinical neuroscience (neurodegenerative disorders, schizophrenia, epilepsy, etc.), cognitive (visual attention, working memory, brain rhythms, etc.), and use of engineering resea...
Jaundice is a condition that results from an increase in bilirubin level in the blood. Its prevalence in newborns is around 60-70%. When this temporary jaundice becomes pathological and left untreated, significant damages may occur such as brain damage, vision loss, lung and kidney dysfunction, and even death. One of the methods used for the treatm...
Anteroposterior (AP) lag screw, posteroanterior (PA) lag screw, or posterior buttress plate are usually performed for posterior malleolar fixation, but the biomechanically strongest technique is unclear. The aim of our study was to biomechanically compare three different fixation methods for posterior malleolar fractures; AP lag screw, PA lag screw...
In this study, we aimed to detect paroxysmal atrial fibrillation episodes before they occur so that patients can take precautions before putting their and others’ lives in potentially life-threatening danger. We used the atrial fibrillation prediction database, open data from PhysioNet, and assembled our process based on convolutional neural networ...
Wavelet transform (WT) is an important tool to analyze the time-frequency structure of a signal. The WT relies on a prototype signal that is called the mother wavelet. However, there is no single universal wavelet that fits all signals. Thus, the selection of mother wavelet function might be challenging to represent the signal to achieve the optimu...
In this study, we investigated the effect of principal component analysis (PCA) in congestive heart failure (CHF) diagnosis using various machine learning algorithms from 5-min HRV data. The extracted 59 heart rate variability (HRV) features consist of statistical time-domain measures, frequency-domain measures (power spectral density estimations f...
Brain-Computer Interface (BCI) is a system that enables people to communicate with the outside world and control various electronic devices by interpreting only brain activity (motor movement imagination, emotional state, any focused visual or auditory stimulus, etc.). The visual stimulation-based recording is one of the most popular methods among...
Paroxysmal Atrial Fibrillation (PAF) is the early stage of atrial fibrillation that is one of the most common arrhythmia types. It affects approximately 6% of the US population over the age of 65. Heart rate variability (HRV) has become popular in diagnosing many types of cardiovascular system problems especially. Only a few studies inquired about...
Brain-computer interface (BCI) system based on steady-state visual evoked potentials (SSVEP) have been acceleratingly used in different application areas from entertainment to rehabilitation, like clinical neuroscience, cognitive, and use of engineering researches. Of various electroencephalography paradigms, SSVEP-based BCI systems enable apoplect...
This study aimed to detect and classify 20 different malfunctions in an industrial facility that involves nonlinear processes from various chemical units. The IEEEDataPort online dataset, acquired from a large industrial plant, was used in this study. It contains measures from 52 process points in Tennessee Eastman Process with 20 different fault t...
Steady-state visual evoked potentials (SSVEPs) have been designated to be appropriate and are in use in many areas such as clinical neuroscience, cognitive science, and engineering. SSVEPs have become popular recently, due to their advantages including high bit rate, simple system structure and short training time. To design SSVEP-based BCI system,...
Abstract-Brain Computer Interface (BCI) is a system that enables people to communicate with the outside world and control various electronic devices by interpreting only brain activity (motor movement imagination, emotional state, any focused visual or auditory stimulus, etc.). The visual stimulation based recording is one of the most popular metho...
Abstract-Brain-computer interface (BCI) system based on steady-state visual evoked potentials (SSVEP) have been acceleratingly used in different application areas from entertainment to rehabilitation, like clinical neuroscience, cognitive, and use of engineering researches. Of various electroencephalography paradigms, SSVEP-based BCI systems enable...
Dementia is one of the most common diseases in the world. The number of patients with dementia is increasing rapidly day by day. Patients with dementia are commonly older than 65 years, and they already use additional drugs for other diseases. It becomes a challenge for individuals in this age group to keep track of their drug timings themselves fo...
Diabetes is a serious life-long disease caused by the insufficient production of insulin hormones in the human body or the inefficient use of the insulin hormone in the human body. Diabetes is becoming more common day by day and it is a very important disease. Even so, people do not take diabetes seriously because they do not have enough informatio...
X-rays are a type of electromagnetic energy which widely used in different areas. Since their discovery, x-rays have been used, especially for medical imaging applications. On the other hand, new efficient x-ray generation methods have still been under investigation. Although new imaging modalities arose, xrays have never lost their popularity in m...
COVID-19 virüsü özellikle yaşlı bireyleri ve kronik rahatsızlığı bulunan hastaları ciddi bir şekilde etkileyen ve ölümlere sebep olmaktadır. Hızlı ve doğru bir erken teşhis ölüm oranını düşürmede ve bu salgının ekonomik maliyetini azaltmada anahtar bir role sahiptir. Bu amaçla, teşhis kitleri, teşhis aletleri ve tıbbi görüntüleme kullanılarak teşhi...
Electroencephalography (EEG) is a noninvasive method to record brain activities. Among different EEG recording methods, the recording, while a visual stimulation is shown to the subject, is one of the most popular methods. Recently, steady-state visually-evoked potentials (SSVEP) where visual objects are blinking at a fixed frequency have been comm...
Discovery of X-Rays is the beginning point of the medical imaging which developed and diversified in years. Since early days of X-Ray discovery they are used in also for imaging of teeth, in 1896, Dr. Otto Walkhoff imaged his mouth with X-Ray exposure. X-Rays helped the dentists to diagnose tooth decays and bone loss, examine dental structures and...
In this study, the intensive care unit patient survival is predicted by machine learning algorithms according to the examinations performed in the first 24 hours. The data of intensive care patients collected from approximately two hundred hospitals over a period of one year were used. Algorithms are run in Python environment. Machine learning mode...
The progress in technological and scientific fields in the 20th century has transformed and shaped the lives of people remarkably. In healthcare, technology can be described as the application of the methods, systems, medicines, devices, vaccines and organized information to improve the quality of life by providing solutions for the needs of both p...
High-rise reinforced concrete buildings have technical, economic and environmental advantages for high density development and they have become a distinctive feature for densely populated urban areas around the world. For this purpose, structural design of high-rise reinforced concrete buildings have become forward and particularly serviceability r...
Durağan durum görsel uyarılmış potansiyeller (DDGUP), diğer beyin bilgisayar ara yüzü (BBA) tekniklerine oranla oldukça yüksek sinyal-gürültü oranları ve bilgi aktarım hızına sahip oldukları için EEG çalışmalarında sıkça kullanılır. Ayrıca durağan durum paradigmaları, dinamik neokorteks süreçlerinde tercih edilen frekansları karakterize etmek için...
This paper presents the design, implementation and polymer nanocomposite mixing application of a robust spatiotemporal chaotic delta robot. Blending fluids efficiently is a vital process for the preparation of graphene nanocomposite mixing. The most commonly used mixing materials are polymeric materials that need to be blended in non-Newtonian flui...
Paroxysmal Atrial Fibrillation (PAF) has been defined as the early stage of atrial fibrillation that is one of the most common cardiac rhythm disorders. It affects approximately 6% of the US population over the age of 65. Heart rate variability (HRV) has become popular in diagnosing many types of cardiovascular system problems especially. Only a fe...
Steady-state visually-evoked potentials (SSVEPs) is a signal that occurs in the visual cortex of the brain when the subject focuses on the visual stimuli that flicker at a certain frequency. Compared to other brain-computer interfaces (BCI) techniques based on electroencephalogram (EEG) signals, SSVEP has been preferred thanks to its higher signal-...
Nowadays, despite the developing technology lots of patients lost their lives because of wrong and late diagnosis. With early diagnosis, most diseases and negative effects of the diseases for the patient can be prevented. Early diagnosis can also prevent cardiological diseases. Although auscultation of the chest with a stethoscope is an effective a...
Epilepsy, also known as Sara in Turkish, is a neurological disorder that is very common in the community. It can have an impact as significant on the quality of life of individuals and cause injury or fatal consequences. The most important symptom of epilepsy is the patient's seizures. In case of seizure, changes in consciousness, behaviour, sensat...
In this study, the development of an algorithm for the classification of heart sound phonocardiogram waveforms such as Normal, Murmur, Extrasystole, Artifact. By presenting the approach used for classification from a general machine learning application point of view, the types of classifiers used were detailed by comparing their features and their...
Today, many patients are treated in hospital or at home. It was determined that only 74% of the patients in 2014 Şişli Etfal Training and Research Hospital used probe bags. Probe bags are frequently used, very simple to use but also a critical bag. In cases where it is not emptied in time, it can cause infection in patients, and in case of explosio...
Brain-Computer Interface (BCI) is a communication system that enables individuals who lack control and use of their existing muscular and nervous systems to interact with the outside world because of various reasons. A BCI enables its user to communicate with some electronic devices by processing signals generated during brain activities. This stud...
This study deals with designing a decentralized multi-input multi-output controller board based on a low-cost microcontroller, which drives both parts of variable-speed scroll compressor and electronic-type expansion valve simultaneously in a chiller system. This study aims to show the applicability of commercial low-cost microcontroller to increas...
Background:
Deteriorated speech understanding is a common complaint in elderly people, and behavioral tests are used for routine clinical assessment of this problem. Cortical auditory evoked potentials (CAEPs) are frequently used for assessing speech detection and discrimination abilities of the elderly, and give promise for differential diagnosis...
The life quality of the patients with plegia and their caregivers is drastically reduced in daily life. Quadriplegia, which means that four limbs and the body trunk are affected from the plegia, is known as the most severe type of plegia. Since patients with quadriplegia can only move their eyes in their bodies and cannot meet their needs themselve...
Thanks to developing technology, robots have been integrated into many parts of daily life. Robots are called programmable, multifunctional, work, and timesaving devices. In this study, it is aimed to enhance a robotic arm to become a new tool for transferring an object to the virtual environment by integrating a three-dimensional digitizing proper...
Nowadays, DC engines have been widely used in daily life. Thanks to its popularity, students are expected to apply their theoretical control algorithms in a DC engine control as an application. Although these necessities and requirements, there is no presented experimental setup for both industrial and educational purposes. In this study, an experi...
Paroxysmal Atrial fibrillation is one of the most common complaints of heart disorders that occur as a result of random vibrations of the atria. PAF episode show a serious increase with age, and the next steps are more difficult especially for the elderly. So, diagnosing in the early stages of this disorder is very important for the PAF patients to...
The Brain-Computer Interface (BCI) is a system that enables individuals who cannot use the existing muscle and nervous system because of various reasons to communicate with the environment. Steady-state visual evoked potentials (SSVEP) from EEG signals have gained wide research interest due to their high signal-to-noise ratio and higher information...
Background and objective:
This study aims to assess the effect of Rapid Maxillary Expansion (RME) on Nasal Septal Deviation (NSD) changes from three-dimensional (3D) images.
Methods:
In this study, cone-beam computed tomography (CBCT) images from 15 patients with maxillary constriction (mean age 12 ± 1.6 years) were included. RME treatment with...
zetçe-Beyin-Bilgisayar Arayüzü (BBA), çeşitli sebeplerden dolayı mevcut kas sistemlerini ve sinir sistemini kullanamayan bireylerin dış dünya ile etkileşimini sağlayan bir iletişim sistemidir. BBA ile kişinin sadece beyin aktivitesi yorumlanarak bazı elektronik cihazlar ile iletişim kurması sağlanmaktadır. Bu çalışmada durağan durum görsel uyarılmı...
Medical imaging history has begun with the discovery of X-rays. X-rays are widely used since their invention in different areas, from projectional radiography to computed tomography. Year by year their technology is improved in many aspects, especially for their generation, their tubes are changed to get the most efficient rays. Nowadays different...
In this study, a platform to develop remote control appliactions via bluetooth communication by using general purpose microcontroller boards and Adroid-based devices was designed. This system was designed to integrate easily into all kind of devices that was developed by students or manufacturers in especially biomedical area. In addition, it has a...
Son zamanlarda yaygın ve ayak taban siğili olan hastalara kriyoterapi ve immünoterapi tedavi yöntemleri
uygulanmaya başlanmıştır. Bununla birlikte hangi tedavi yönteminin başarılı olacağına dair bir kanıt
bulunmamaktadır. Bu çalışmada, bu iki yöntemin siğil tedavisinde başarılı olup olmayacağı lojistik regresyon ve
karar ağacı algoritmaları kullanı...
In this study, we propose an automatic system to diagnose congestive heart failure using short-term heart rate variability analysis. The system involves a multi-stage classifier. The features of heart rate variability are computed from time-domain and frequency-domain measures through power spectral density estimations of different transform method...
Implantable medical devices (IMDs) have a great improvement over the last decade. They have access to human health data at any time. They also regulate the problems in the human body. The most common IMDs are namely, insulin pumps, cardiac pacemakers, and so on. Since IMDs are directly affect human health, the primary design criterion of such devic...
Bu çalışmada elektrokardiyografi (EKG) sinyalleri elde eden bir Arduino eklentisi yapılmıştır. Bu eklenti, üzerindeki seçici entegreler yardımıyla kullanıcı tarafından belirlenen 16 farklı giriş kanalı bulunmaktadır. İlk olarak seçilen kanallardaki EKG sinyalleri enstrümantal yükselteçle yükseltilir. Daha sonra aktif alçak ve yüksek filtrelerden ve...
Atrial fibrillation (AF) is the most common arrhythmia type and its early stage is paroxysmal atrial fibrillation (PAF). PAF affects negatively the quality of life by causing dyspnea, chest pain, feeling of excessive fatigue, and dizziness. In this study, our aim is to predict the onset of paroxysmal atrial fibrillation (PAF) events so that patient...
Son yıllarda sEMG sinyallerinin saptanması ve analizi tıp ve biyomedikal alanındaki klinik ve klinik öncesi çalışmalarda önemli bir noktaya gelmiştir. Bu çalışmada, biyomedikal ve tıp alanında kullanılabilecek ucuz maliyetli temel ekstansiyon ve fleksiyon hareketi yapabilen kişiye özgü 3 kancalı ve tek servo motorlu miyoelektrik el protezi tasarlan...
Özetçe-Bu çalışmada çeşitli kazalar sonucu el ve kol hareketlerinde kayıpları olan kişiler için rehabilitasyon evresini takip edilebilecek ve çeşitli egzersizleri yapabileceği bir sistem tasarımı üzerinde çalışılmıştır. Bu sistem iki eksenli çizme mekanizması ve ele giyilebilen elektronik eldivenden oluşmaktadır. Hastadan çizici mekanizmanın altına...
Özetçe—Endüstri 4.0 sadece fabrikaları etkileyecekmiş gibi görünse de, aslında günlük sosyal yaşantımız da dahil olmak üzere yakın gelecekte tüm sektörleri etkileyecektir. Bu çalışmada, endüstri 4.0 devriminin tıbbi cihaz başta olmak üzere sağlık sektörü üzerine olası etkileri incelenmektedir. Tanım olarak, Endüstri 4.0 ile akıllı robotların üretim...
Abstract:
In this study, it was implemented a wristband design which provides distance measurements to assist blind people. The obstacles were detected by the help of ultrasonic sensors connected to an Arduino microcontroller board. A design that can be adapted to different usage areas (indoor or outdoor) and various stimulus types (vibration only,...
Özetçe—Bu çalışmada, kalp kası ve sinirsel iletim sisteminin çalışması ve kalpte meydana gelen elektriksel faaliyetin normal ve çeşitli düzensiz kalp atım türleri için Boston's Beth Israel Hospital tarafından kaydedilen elektrokardiyografi veri seti incelenmiştir. Bu veri setinde mevcut olan yedi farklı aritmi türünü dört farklı, yaygın kullanılan,...
ABSTRACT
In this study, a Fuzzy C-Means (FCM) based arrhythmia classification system was proposed. It was aimed to determine arrhythmia type using raw ECG directly with no help of any feature extraction techniques. The used ECG data set consists of normal heart beats and six different arrhythmia beats (Left bundle branch block, Right bundle branch...
The study was achieved between March 2009 and March 2010 at the Sinop Inner Harbor on cultured mussels at the offshore submerged longline system. The samples of mussels, sediment and suspended particulate matter were seasonally taken for the purpose of monitoring differences of metal contents. In addition, burnable organic matter, contamination fac...