Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Brain Computer Interfaces (BCI)"”.
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Integrated Real-Time Control And Processing Systems For Multi-Channel Near-Infrared Spectroscopy Based Brain Computer Interfaces
… ysis of Near-infrared spectroscopy (NIRS) based brain-computer interfaces (BCI). These approaches were developed in conjunction with the implemen- tation of a new customized exible multi-channel NIRS based BCI hardware system (Soraghan, 2010). Using a comparable functional imaging modality the …
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A stochastic control framework for the design of observational brain-computer interfaces based on human error potentials
Brain-computer interfaces (BCI) allow human subjects to interact with exogenous systems through neural signals. The goal of this interaction may be to induce behaviors or properties in either the exogenous system or the human subject. In this thesis, we develop a novel framework for designing BCIs …
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Human As We All Are: Posthuman Subjectivity in The Paper Menagerie and The Three-Body Problem
… as artificial intelligence, virtual reality, and brain-computer interfaces (BCI), to analyze the ways in which literature that depicts these technologies disrupt the humanist subject. I also consider the ways in which the disruption of the human subject serves to write against imperialist and …
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Reading Your Own Mind: Dynamic Visualization of Real-Time Neural Signals
<p>Brain Computer Interfaces: BCI) systems which allow humans to control external devices directly from brain activity, are becoming increasingly popular due to dramatic advances in the ability to both capture and interpret brain signals. Further advancing BCI systems is a compelling goal both …
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Methods and Applications of Controlling Biomimetic Robotic Hands
… fourth chapter focuses on the feasibility of the brain computer interfaces (BCI) and successfully demonstrates the implementation of a simple brain computer interface in controlling a robotic hand.
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A pilot study toward the development of ERD and SSVEP based hybrid brain computer interface
Brain-computer interfaces (BCI) are devices that allow for the brain to communicate information to a computer. In situations where a victim of brain trauma or disease has suffered damage causing paralysis or impaired movement, BCIs may be the answer in providing assistance to neurological function. …
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Device design factors for enhancing the functionality of chronic intracortical microelectrodes
… microelectrodes are devices used in brain-computer interfaces (BCI) to help regain lost motor, sensory, and cognitive functions of individuals with neurological disorders. However, the long-term performance of microelectrode arrays is hampered by a series of inflammatory tissue …
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Classification of electroencephalogram (EEG) for lower limb movement of post stroke patients using artificial neural network (ANN)
… intentions, hence requires novel therapies. Brain-Computer Interfaces (BCI) provides the means to decode mental states and activate devices according to user intentions. However, conventional BCI cannot be used fully, due to the lack of accuracy, and need some improvement. In addition to …
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Έλεγχος του δείκτη ποντικιού μέσω Διεπαφής Εγκεφάλου-Υπολογιστή και σύγκριση επιδόσεων με το συμβατικό ποντίκι
… της Αλληλεπίδρασης Ανθρώπου-Υπολογιστή (Human-Computer Interaction – HCI) έχει οδηγήσει στην ανάδυση καινοτόμων τεχνολογιών εισόδου, πέραν των παραδοσιακών μέ-σων όπως το ποντίκι και το πληκτρολόγιο. Στο πλαίσιο αυτό, οι Διεπαφές Εγκεφάλου-Υπολογιστή (Brain-Computer Interfaces – BCI) επιτρέπουν …
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Brain computer interface using detection of movement intention
… paralysis, developments in the emerging area of Brain Computer Interfaces (BCI) offer the prospect that some level of independent function can be regained by using signals recorded from the brain to control mobility aids or other forms of assistive technology. However, current BCI's are often …
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EEG-based Brain Computer Interface with Deep Learning
Electroencephalogram (EEG)-based Brain Computer Interfaces (BCI) are very important and have been widely used in multiple application domains, ranging from human-computer interaction to medical and biomedical applications. To overcome the challenge of EEG representation learning, we propose a Long …
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Spiking Neural Network Framework for Brain Computer Interfaces
In the field of Brain-computer interfaces (BCI), the majority of studies often rely on electroencephalography (EEG) over invasive methods despite the influence of noise and insufficient spatial resolution due to EEG's simplicity for practical usage. However, with EEG being an accumulation of …
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Investigations into Brain-Computer Interfacing for Stroke Rehabilitation
A stroke is the loss of brain function following the cessation of blood supply to a region of the brain caused by either a blockage or haemorrhage in the vasculature. It is a leading cause of death worldwide but survival rates have increased significantly in the past 25 years with recent estimates …
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Efficiency evaluation of external environments control using bio-signals
… of electroencephalographic signals in Brain-Computer Interfaces (BCI) (variant of Human-Computer Interfaces (HCI)) as an implement, which enables direct and fast communication between the human brain and an external device, has become recently very popular. Currently available on the …
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A supervised machine-learning method for detecting steady-state visually evoked potentials for use in brain computer interfaces: A comparative assessment
… frequency has application in SSVEP-based brain computer interfaces (BCI), where users are presented with flashing stimuli and user intent is decoded by identifying which stimulus the subject is attending to. We investigate the ability of the model of VEPs to fit the initial portions of …
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A distance adaptable brain-computer interface based on steady-state visual evoked potential
Brain-computer interfaces (BCI) provide an alternative communication channel which does not rely on the brain's normal output pathway between patients suffering from neuromuscular diseases and their external environment. BCI requires at least one brain signal as input in order to interpret the …
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Disentangling the neural correlates of attention decrement: from Cognitive Neuroscience to Cognitive Engineering
… impacts the development of efficient passive Brain- Computer interfaces (BCI), capable of detecting the occurrence of potentially dangerous attention decrements during the performance of everyday activities. Both issues have been addressed in this thesis. In terms of Cognitive Neuroscience, I …
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Sampling Controlled Stochastic Recursions: Applications to Simulation Optimization and Stochastic Root Finding
… estimation problem arising in the context of brain-computer interfaces (BCI). Specifically, we formulate and reduce the problem of probabilistically deciphering the electroencephalograph (EEG) signals recorded from the brain of a paralyzed patient attempting to perform one of a specified set …