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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10.1155-2018-2168307.pdf | 2,53 MB | Adobe PDF | View/Open |
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