An integral solution for assistive and restorative brain-machine interfaces: Current approaches, requirements and design
Patrushev M. V., Petrov V. A., Botman S. A., Silina E. V., Shusharina N. N.
Journal of Pharmaceutical Sciences and Research
Vol.9, Issue11, P. 2182-2188
Опубликовано: 2017
Тип ресурса: Статья
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 softwa
Ключевые слова:
Brain-machine interface; Electroencephalogram; Magnetoencephalogram; Neuroscience
Article; assistive technology; brain computer interface; brain depth stimulation; classification algorithm; cognitive neuroscience; data processing; electroencephalography; electromyography; electrooculography; functional magnetic resonance imaging; gray matter; human; immunity; information processing; magnetoencephalography; near infrared spectroscopy; neurofeedback; robotics; transcranial electric stimulation; transcranial magnetic stimulation; visual evoked potential
Язык текста: Английский
ISSN: 0975-1459
Patrushev M. V.
Petrov V. A.
Botman S. A.
Silina E. V. Ekaterina Vladimirovna 1980-
Shusharina N. N.
Патрушев М. В.
Петров В. А.
Ботман С. А.
Силина Е. В. Екатерина Владимировна 1980-
Шушарина Н. Н.
An integral solution for assistive and restorative brain-machine interfaces: Current approaches, requirements and design
Текст визуальный непосредственный
Journal of Pharmaceutical Sciences and Research
Vol.9, Issue11 P. 2182-2188
2017
Статья
Brain-machine interface Electroencephalogram Magnetoencephalogram Neuroscience
Article assistive technology brain computer interface brain depth stimulation classification algorithm cognitive neuroscience data processing electroencephalography electromyography electrooculography functional magnetic resonance imaging gray matter human immunity information processing magnetoencephalography near infrared spectroscopy neurofeedback robotics transcranial electric stimulation transcranial magnetic stimulation visual evoked potential
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 softwa