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dc.contributor.authorKublanov, V. S.en
dc.contributor.authorBabich, M. V.en
dc.contributor.authorDolganov, A. Y.en
dc.date.accessioned2019-06-26T07:41:46Z-
dc.date.available2019-06-26T07:41:46Z-
dc.date.issued2018-
dc.identifier.citationKublanov 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.en
dc.identifier.issn1574-017X-
dc.identifier.issn1875-905X-
dc.identifier.otherhttp://downloads.hindawi.com/journals/misy/2018/2168307.pdfpdf
dc.identifier.other1good_DOI
dc.identifier.other5b580f06-fa27-4bea-a6bb-f27486a4a687pure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85058226317m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/73968-
dc.description.abstractThe 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.en
dc.description.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).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherHindawi Limiteden
dc.rightscc-byother
dc.sourceMobile Information Systemsen
dc.subjectARTIFICIAL INTELLIGENCEen
dc.subjectCOMPUTER AIDED INSTRUCTIONen
dc.subjectDATA HANDLINGen
dc.subjectHOSPITAL DATA PROCESSINGen
dc.subjectLEARNING SYSTEMSen
dc.subjectCONTROL INTERFACESen
dc.subjectELECTROSTIMULATIONen
dc.subjectHARDWARE INTEGRATIONSen
dc.subjectINFORMATIONAL SYSTEMen
dc.subjectMACHINE LEARNING APPLICATIONSen
dc.subjectMOBILE HARDWAREen
dc.subjectORGANIZATIONAL PRINCIPLESen
dc.subjectTREATMENT PROCESSen
dc.subjectHARDWAREen
dc.titleMobile Hardware-Information System for Neuro-Electrostimulationen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArticleen
dc.identifier.rsi38679568-
dc.identifier.doi10.1155/2018/2168307-
dc.identifier.scopus85058226317-
local.affiliationResearch Medical and Biological Engineering Centre of High Technologies, Ural Federal University, Mira 19, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeКубланов Владимир Семеновичru
local.contributor.employeeБабич Михаил Владимировичru
local.contributor.employeeДолганов Антон Юрьевичru
local.volume2018-
dc.identifier.wos000451861300001-
local.contributor.departmentИнститут радиоэлектроники и информационных технологий - РтФru
local.identifier.pure8423406-
local.description.order2168307-
local.identifier.eid2-s2.0-85058226317-
local.identifier.wosWOS:000451861300001-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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