Lucian Andrei Gheorghe

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Brain error processing plays a key role in goal-directed behavior and learning in human brain. Directed transfer function (DTF) on EEG signal brings unique features for discrimination between correct and error cases in brain-computer interface (BCI) system. We describe the first application of brain connectivity features for recognizing error-related(More)
Continuous and discrete components may be integrated in diverse embedded systems ranging across defense, medical, communication, and automotive applications. The global validation of these systems requires new validation techniques, the main challenge being the definition of global simulation models able to accommodate the different concepts specific to(More)
OBJECTIVE The ability of an automobile to infer the driver's upcoming actions directly from neural signals could enrich the interaction of the car with its driver. Intelligent vehicles fitted with an on-board brain-computer interface able to decode the driver's intentions can use this information to improve the driving experience. In this study we(More)
In this paper we present the preliminary results of a pioneering attempt to predict the timing of steering actions in a driving task from non-invasive EEG measurements. The experiment took place with the subjects driving a car at a constant speed on a simulated highway in a driving simulator. The EEG activity was analyzed during periods of straight driving(More)
This work presents EEG-based Brain-computer interface (BCI) that uses error related brain activity to improve the prediction of driver's intended turning direction. In experiments while subjects drive in a realistic car simulator, we show a directional cue before reaching intersection, and analyze error related EEG potential to infer if the presented(More)
OBJECTIVES Recent studies have started to explore the implementation of brain-computer interfaces (BCI) as part of driving assistant systems. The current study presents an EEG-based BCI that decodes error-related brain activity. Such information can be used, e.g., to predict driver's intended turning direction before reaching road intersections. APPROACH(More)
Finite element analysis is employed to estimate bone stress distribution in hip joint after hip resurfacing treatment for osteoarthritis. The numerical model of bone segment was elaborated on the basis of " in vivo " post operative multi sliced computed tomography images. Von Mises stress was evaluated on bone matrix, on the femoral and iliac cups revealing(More)
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