Development of The Brain-Computer Interface based on The Biometric Control Channels and Multi-Modal Feedback to Provide A Human with Neuro-Electronic Systems and Exoskeleton Structures to Compensate The Motor Functions

Natalia Nikolaevna Shusharina¹, Evgeny Anatolyevich Bogdanov¹, Stepan Aleksandrovich Botman¹, Ekaterina Vladimirovna Silina²,Victor Aleksandrovich Stupin³ and Maksim Vladimirovich Patrushev¹

¹Immanuel Kant Baltic Federal University (IKBFU)Nevskogo Str., 14, Kaliningrad, 236041, Russia.

²I.M. Sechenov First Moscow State Medical University (First MSMU)Trubetskaya str, 8, Moscow, 119991, Russia.

³Pirogov´s Russian National Research Medical University (RNRMU)Ostrovityanova str, 1, Moscow, 117997, Russia.

DOI : http://dx.doi.org/10.13005/bbra/2295

ABSTRACT: The aim of this paper is to create a multi-functional neuro-device and to study the possibilities of long-term monitoring of several physiological parameters of an organism controlled by brain activity with transmitting the data to the exoskeleton. To achieve this goal, analytical review of modern scientific-and-technical, normative, technical, and medical literature involving scientific and technical problems has been performed; the research area has been chosen and justified, including the definition of optimal electrodes and their affixing to the body of the patient, the definition of the best suitable power source and its operation mode, the definition of the best suitable useful signal amplifiers, and a system of filtering off external noises. A neuro-device mock-up has been made for recognizing electrophysiological signals and transmitting them to the exoskeleton, also the software has been written. Investigation tests of the neuro-device mock-up have been performed, which showed the quality of electroencephalography, electromyography, electrooculography, photoplethysmography, and thermometry signals. The developed experimental model of the neuro-device will show all elaborated algorithms and hardware solutions in action to prove the claimed characteristics, which will allow to developing recommendations for using the neuro-device and a TDA  to creata prototype of the brain-machine interface for controlling electromechanical devices.

KEYWORDS: bio-electric activity;electroencephalogram;electromyogram;electrooculogram;patterns;neural interface;the wireless telemetry device;motor activity;an Electromechanical device;the exoskeleton

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