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Browsing Biyomedikal Mühendisliği Enstitüsü by Subject "Electroencephalography."

Browsing Biyomedikal Mühendisliği Enstitüsü by Subject "Electroencephalography."

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  • Auditory brain response detection using a portable EEG headset 
    Koç Söker, Zeliha. (Thesis (M.S.) - Bogazici University. Institute of Biomedical Engineering, 2013., 2013.)
    In general terms, evoked potentials are electrical signals generated by the nervous system in response to a stimulus. Auditory evoked potentials (AEPs) are generated in response to an acoustic stimulus. Measuring the ...
  • Bayesian EEG source reconstruction using Markov chain Monte Carlo methods 
    Yıldız, Gökçen. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2007., 2007.)
  • Correlation between fMRI and source reconstructed EEG of steady state visual evoked potentials 
    Eryılmaz, Hüseyin Hamdi. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2007., 2007.)
    Electroencephalography (EEG) is a common technique for studying and understanding the functioning of the brain. In addition, functional Magnetic Resonance Imaging (fMRI), in the recent years has been a very conventional ...
  • Correlation dimension computation of EEG time series 
    Taşkın, Ersin. (Thesis (M.A.) - Bogazici University. Institute of Biomedical Engineering, 1997., 1997.)
    In this thesis, a software package, to be used in correlation dimension (D2) computation of human electroencephalograms (EEG), is developed. The main algorithm calculating the D2 is based on the Grassberger Procaccia (G-P) ...
  • Design of a brain computer interface (BCI) system based on electroencephalogram (EEG) 
    Günaydın, Ozan. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2010., 2010.)
    A Brain Computer Interface (BCI), sometimes called a Brain Machine Interface (BMI) is a communication device between the brain and an external device, usually a computer. The main purpose of BCI systems is repairing or ...
  • Development of a recurrent netural network based estimation algorithms for ankle power by using surface EMG 
    Atal, Alper. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2022., 2022.)
    Estimation of ankle power can be used in identification of gait abnormalities and establishing timings of net power generation in powered prosthetic devices. Cur rent inverse dynamics calculations of ankle power rely on ...
  • EEG data classification using multilinear regression model 
    Akgün Demir, Ayşe. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2019., 2019.)
    Brain Computer Interfaces (BCI) are systems that facilitate people to use a computer, to control an electromechanical or a neuroprosthetic device without using their motor nervous system. It is possible to obtain an ...
  • Emotion recognition of EEG data using tensor logistic regression 
    Cansu, İbrahim. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2022., 2022.)
    Emotion recognition is a research area gaining momentum in the last three decades with a strong impact on our daily life. One of the most widely used methods to study emotion recognition is using physiological signals such ...
  • Functional parcellation of memory related brain networks by spectral clustering of EEG data 
    Aydın, Çağatay. (Thesis (M.S.) - Bogazici University. Institute of Biomedical Engineering, 2012., 2012.)
    The EEG signal and its oscillatory components may relate with temporal modulation of information processing of a sensory activation in a local electrical eld and neural populations. In this study, we investigate the ...
  • Graph theoretical analysis of functional human brain network 
    Günebakan, Adem Umut. (Thesis (M.S.) - Bogazici University.Institute of Biomedical Engineering, 2011., 2011.)
    Recent studies suggest that, human brain has a small-world behavior which is reflected by locally and globally efficient processing. To investigate this behavior a short term/working memory experiment was designed which ...
  • Investigation of neurovascular coupling by synchronous EEG and fNIRS measurements during steady-state visual stimuli 
    Özker, Müge. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2009., 2009.)
    In this thesis, the steady state human visual evoked potentials that are generated in response to visual stimulation and its corresponding hemodynamic response are investigated via electroencephalography (EEG) and functional ...
  • Investigation of oscillatory mechanisms and thalamo-cortical circuitry of the visual system by simultaneous EEG-fMRI 
    Bayram, Ali. (Thesis (Ph.D.)-Bogazici University. Institute of Biomedical Engineering, 2015., 2015.)
    Neural oscillation is an indispensable phenomena in the functioning of the cortical networks. Evoked neural oscillations triggered by external rhythmic stimulation mimic spontaneous ongoing oscillations, thus could shed ...
  • Monitoring depth of anesthesia through measurement of phase coupling among spontaneous EEG rhythms 
    Mousavi, Seyed Mortaza. (Thesis (Ph.D.)-Bogazici University. Institute of Biomedical Engineering, 2014., 2014.)
    Awareness during general anesthesia for its serious psychological e ects on patients and some juristically problems for anesthetists has been an important challenge during past decades. Monitoring depth of anesthesia is a ...
  • Predicting epileptic seizures of pediatric patients using phase-amplitude coupling and deep learning 
    Alqam, Lina Mahmoud Saleh. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2022., 2022.)
    Epilepsy is one of the most prevalent neurological disorders in the world. It is estimated that between four and six children out of every thousand suffer from epilepsy. Visually diagnosing seizure activity can be challenging ...
  • Source localization of electrical dipoles in electroencephalogram (EEG) 
    Duru, Adil Deniz. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2004., 2004.)
    As a noninvasive neuroimaging method, the dipole source localization of brain electrical activity has a much higher temporal resolution when compared with the functional magnetic resonance (fMRI) or Positron Emmision ...
  • Spatiotemporal graph convolutional neural networks for motor imagery EEG classification 
    Alramly, Ahmed Mohamed Mohamed Mohamed. (Thesis (M.S.)-Bogazici University. Institute of Biomedical Engineering, 2022., 2022)
    Electroencephalography (EEG) has various applications in medicine, neuro-science, and neural engineering. It records the electrical activity of the brain tissues caused by the interaction among different neuronal communities. ...
  • Tensor analysis of neuroimaging data 
    Karahan Şenvardar, Esin. (Thesis (Ph.D.)-Bogazici University. Institute of Biomedical Engineering, 2015., 2015.)
    Acquisition of large amounts of data in neuroimaging research requires development of new methods that can disentangle the underlying information and reveal the features related to cognitive processes. This thesis attempts ...

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