Electroencephalography (EEG) captures the electrical activities of human brain. It is an easy and cost effective tool to characterize motor imager (MI) task used in brain computer interface (BCI) implementation. The MI represented by short time trial multichannel EEG. In this paper, raw EEG regenerated using narrowband signals obtained from individual channel. Each channel decomposed into a set...

SPATIAL DECODING OF OSCILLATORY NEURAL ACTIVITY FOR BRAIN COMPUTER INTERFACING İbrahim Onaran PhD in Electrical and Electronics Engineering Supervisor: Prof. Dr. A. Enis Çetin June, 2013 Neuroprosthetics (NP) aim to restore communication between people with debilitating motor impairments and their environments. To provide such a communication channel, signal processing techniques converting neu...

Brain-Computer Interface (BCI) systems have obtained remarkable results in rehabilitation and robot control processes by converting brain signals into commands. The quantity of movement speed is the fundamental issue BCI that requires additional research. This paper investigated classification slow fast speeds eight different upper limb movements through electroencephalogram (EEG) information a...

Brain-Computer Interfaces (BCI) are an interesting emerging technology that is driven by the motivation to develop an effective communication interface translating human intentions into a control signal for devices like computers or neuroprostheses. If this can be done bypassing the usual human output pathways like peripheral nerves and muscles it can ultimately become a valuable tool for paral...

objectives: acetaminophen (apap) toxicity is known to be common and potentially fatal. this study aims to investigate the protective effects of hydroalcoholic extract, remaining from crocus sativus petals (csp) against apap-induced hepatotoxicity by measuring the blood parameters and studying the histopathology of liver in male rats. materials and methods: wister rats (24) were randomly assigne...

BACKGROUND Stroke is one of the most common disorders among the elderly. A practical problem in stroke rehabilitation systems is that how to separate motor imagery patterns from electroencephalographic (EEG) recordings. There is a sharp decline in performance of these systems when classical algorithms, such as Common Spatial Pattern (CSP), are directly applied on stroke patients. NEW METHOD W...

For efficient decoding of brain activities in analyzing brain function with an application to brain machine interfacing (BMI), we address a problem of how to determine spatial weights (spatial patterns), bandpass filters (frequency patterns), and time windows (time patterns) by utilizing electroencephalogram (EEG) recordings. To find these parameters, we develop a data-driven criterion that is ...

Adaptive Filtering by Optimal Projection (AFOP) is an automatic method for reducing ocular and muscular artifacts on electro-encephalographic (EEG) recordings. This paper presents two additions to this method: an improvement of the stability of ocular artifact filtering and an adaptation of the method for filtering electrode artifacts. With these improvements, it is possible to reduce almost al...