Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/73968
Title: Mobile Hardware-Information System for Neuro-Electrostimulation
Authors: Kublanov, V. S.
Babich, M. V.
Dolganov, A. Y.
Issue Date: 2018
Publisher: Hindawi Limited
Citation: Kublanov V. S. Mobile Hardware-Information System for Neuro-Electrostimulation / V. S. Kublanov, M. V. Babich, A. Y. Dolganov // Mobile Information Systems. — 2018. — Vol. 2018. — 2168307. — DOI: 10.1155/2018/2168307.
Abstract: The article describes organizational principles of the mobile hardware-informational system based on the multifactorial neuro-electrostimulation device. The system is implemented with two blocks: the first block forms the spatially distributed field of low-frequency monopolar current pulses between two multielement electrodes in the neck region. Functions of the second block, specialized control interface, are performed by a smartphone. Information is exchanged between two blocks through a telemetric channel. The mobile hardware-informational system allows to remotely change the structure of the current pulses field, to control its biotropic characteristics and to change the targets of the stimulation. Moreover, it provides patient data collection and processing, as well as access to the specialized databases. The basic circuit solutions for the neuro-electrostimulation device, implemented by means of microcontroller and elements of high-level hardware integration, are described. The prospects of artificial intelligence and machine learning application for treatment process management are discussed. © 2018 Vladimir S. Kublanov et al.
Keywords: ARTIFICIAL INTELLIGENCE
COMPUTER AIDED INSTRUCTION
DATA HANDLING
HOSPITAL DATA PROCESSING
LEARNING SYSTEMS
CONTROL INTERFACES
ELECTROSTIMULATION
HARDWARE INTEGRATIONS
INFORMATIONAL SYSTEM
MACHINE LEARNING APPLICATIONS
MOBILE HARDWARE
ORGANIZATIONAL PRINCIPLES
TREATMENT PROCESS
HARDWARE
URI: http://elar.urfu.ru/handle/10995/73968
Access: cc-by
RSCI ID: 38679568
SCOPUS ID: 85058226317
WOS ID: 000451861300001
PURE ID: 8423406
ISSN: 1574-017X
1875-905X
DOI: 10.1155/2018/2168307
Sponsorship: )is study was supported by the Act 211 of the Government of the Russian Federation (contract no. 02.A03.21.0006) and was funded by RFBR (project no, 18-29-02052).
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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