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Опубликовано 2018-11-12 Опубликовано на SciPeople2018-11-12 12:55:03

An integral Solution for Assistive and Restorative Brain-Machine Interfaces: Current Approaches, Reguirements and Design
Силина Екатерина Владимировна (профессор); Тулина Инна Андреевна (доцент); Несвижский Юрий Владимирович (профессор) / Юлия Волкова
Аннотация Bio signal data acquisition and subsequent processing became not an option for neuroscience studies, but the requirement. A number of publications appeared during last decade, which brought some new core conceptions of brain-machine interfaces (BMI) as a valuable tool for science, medical and industry use and even entertainment. The BMI technology is far from maturity yet, but the number of real world applications grows rapidly. Because of the interest to close the gap between sensor device and driven equipment, various approaches were proposed. The purpose of this article is to propose the concept of a universal smart interface device based on current requirements for BMI system applications. This study consists of three main parts. First, we briefly introduce the background and development of mind-controlled robot technologies and its applications. We focus on main requirements and features needed to be implemented in BMI devices. Then, a structural scheme of a portable hybrid software-driven BMI device will be briefly explained. And, after that, we’ll review main methods and applications of BMIs in common, and proposed device, in particular, as a driver for a number of standard neurosignal-driven equipment and different data-processing systems.
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