Başlık için Biyomedikal Mühendisliği Bölümü Bildiri & Sunum Koleksiyonu listeleme
Toplam kayıt 40, listelenen: 1-20
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Assessment of surgeon's stress level and alertness using EEG during laparoscopic simple nephrectomy
(IEEE, 2013)Laparoscopic simple nephrectomy (LSN) is an accepted treatment modality for nonfunctioning kidneys. Besides decreased postoperative morbidity, LSN is an advantage with decreased analgesic requirements and convalescence. ... -
Başlıca Doku Mühendisliği Uygulamalarında Kullanılabilecek Biyoseramik Sentezi ve Karakterizasyonu
(Institute of Electrical and Electronics Engineers Inc., 2018)Various disruptions in the body functions resulting from accidents and injuries, reveal the need for biomaterials. Biomaterials are divided into various classes. One of them is bioceramics. Ceramics such as hydroxyapatite ... -
Can European sea bass (Dicentrarchus labrax) scale be a good candidate for nano-bioceramics production?
(Trans Tech Publications Ltd, 2016)Bioceramics are commonly used biomaterials for orthopedic and dental applications. Among these bioceramics, hydroxyapatite (HA) and tricalcium phosphate (TCP) are of interest and are used in various biomedical applications. ... -
Classification of Neuromuscular Diseases in Neuromuscular Junction and Tendon Recordings with Needle EMG by Using Welch's Method
(IEEE, 2017)In this study, the power spectral density of simulated data which contain neuromuscular diseases and normal motor unit (i.e. control group) scenarios was calculated using Welch's method. Furthermore, the effect of Welch's ... -
Classification of Neuromuscular Junction and Tendon Recordings of Neuromuscular Diseases by Their Spectrogram
(IEEE, 2017)In this study, the effect of spectrograms from neuromuscular junction and tendon records for normal, neurogenic and myopathic motor units being constructed via EMG Simulator v3.6 on the differential diagnosis were investigated. ... -
Comparative Multiple Sclerosis Lesion Segmentation in Magnetic Resonance Images
(IEEE, 2017)In this study, the unsupervised clustering method namely K-means algorithm is applied for identifying the multiple sclerosis (MS) lesions in magnetic resonance (MR) images automatically. MS lesion detection is essential ... -
Comparison of machine learning techniques on MS lesion segmentation
(Institute of Electrical and Electronics Engineers Inc., 2019)Multiple sclerosis arises with conformational change in myelin sheath. Magnetic resonance imaging is frequently used in detection of MS. In this study, to figure out MS lesion, machine learning techniques, namely k means ... -
Design and Implementation of Brain Computer Interface Based on Wireless EEG Measurements: A Pilot Study
(IEEE, 2015)Brain computer interface (BCI), is a direct communication pathway between brain signals and an external device which often serves to support cognitive and emotional motor functions. The implementation and design of a human ... -
Design, Implementation and Performance Analysis of a Microcontroller based Wireless Electromyography Device
(IEEE, 2017)Elektromyography (EMG) signals are the electrical signals that are emerged by muscular contraction. In this study, a wireless EMG device was designed and implemented. The EMG signals are collected by surface electrodes, ... -
Determining Phase Duration of Scanning EMG Signals
(IEEE, 2015)There are more than one motor unit activities recorded simultaneously during scanning EMG recordings. It is not possible to determine the phase duration correctly by inspecting only one sweep. The other motor unit activities, ... -
Development of a Method to Analyze Compound Action Potential (CMAP) Scan Used in the Diagnosis and Monitoring of Neuromuscular Diseases
(IEEE, 2018)Motor Unit Number Estimate (MUNE) is a quantitative method which has been developed to determine the axon number as close as possible to the real axon number. It is used to assess and to monitor neuromuscular diseases such ... -
Development of a new algorithm for the estimation of the step percentage in compound muscle action potential scan
(Institute of Electrical and Electronics Engineers Inc., 2019)Compound Muscle Action Potential (CMAP) Scan used in the diagnosis and in the monitoring of Neuromuscular Diseases is based on recording the responses obtained from the gradual stimulation of a peripheral nerve. Clearly ... -
Dynamic time warping based connectivity classification of event-related potentials
(Institute of Electrical and Electronics Engineers Inc., 2019)Human brain electrical responses measured as Electroencephalogram epochs have different characteristics by means of amplitude and frequency content depending on the conditions and stimuli. Event-related potentials are the ... -
Effect of Plant Oil-Based Crosslinker on Drug Release Behaviour of Hydrogels
(IEEE, 2017)Thermoresponsive hydrogels have great potential in biomedical applications such as drug delivery systems and tissue engineering. Synthesis of hydrogels from renewable resources attracts attention day by day. In this study ... -
Elajik asidin spesifik olarak tanınması için moleküler baskılanmış polimerlerin sentezi
(Institute of Electrical and Electronics Engineers Inc., 2019)Molecular imprinting technique is based on the fact that functional monomers are formed a complex around the template molecule by covalent or non-covalent interactions, and then these interactions are made stable by using ... -
Electrohydrodynamic atomization (EHDA) technique for the health sector of polylactic acid (PLA) nanoparticles
(Institute of Electrical and Electronics Engineers Inc., 2019)Polylactic acid (PLA) is a kind of environmental thermoplastic polymer. Aliphatic polyesters, such as PLA, are a biocompatible polymer with mechanical properties, transparencies and non-toxic properties. These properties ... -
Evrişimsel sinir ağları tabanlı MR-MS imgeleri sınıflandırması
(Institute of Electrical and Electronics Engineers Inc., 2019)Processing of brain images has some difficulties because of the large data size and complexity of the data. Deep learning facilitates hierarchicical feature extraction automatically. However the optimization of deep nets ... -
Extraction of Multiple Sclerosis Lesions in MR Images Based on Active Contours
(IEEE, 2015)In this study, a semi automatic segmentation of multiple sclerosis lesions in magnetic resonance (MR) images based on active contours is done. Based on the seed area selection by the user, the parametric active contours ... -
Göz Hareketleri Takibi ile Elit Sporcularda Bakış Karakteristikleri Analizi: Pilot Çalışma
(IEEE, 2014)Eye movements are essential for natural vision. Eye tracking technology is being used in research in many disciplines to examine the differences in the visual attention of experts and novices. Eye tracking research in ...
