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dc.contributor.authorKublanov, V.en
dc.contributor.authorPetrenko, A.en
dc.contributor.authorNabiullina, A.en
dc.date.accessioned2020-10-20T16:35:26Z-
dc.date.available2020-10-20T16:35:26Z-
dc.date.issued2017-
dc.identifier.citationKublanov V. Correction of attention in a learning ability task with using non-invasive neurostimulation of peripheral nervous system / V. Kublanov, A. Petrenko, A. Nabiullina. — DOI 10.5220/0006159602690275 // BIOSIGNALS 2017 - 10th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017. — 2017. — Iss. 4. — P. 269-275.en
dc.identifier.isbn9789897582127-
dc.identifier.otherhttps://doi.org/10.5220/0006159602690275pdf
dc.identifier.other1good_DOI
dc.identifier.other8f3f7c35-56c0-44f7-be7a-ea719bc8e6fdpure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85051797988m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/92351-
dc.description.abstractThe paper contains the results of pilot research on neuro-electrostimulation influence with a help of special field of the current pulses on characteristics of attention, which are some of the main parameters of the learning process. The method of dynamic correction of the activity of the sympathetic nervous system implemented by means of the «SYMPATHOCOR-01» device for improving educational and cognitive parameters is proposed. It is shown that the attention parameters such as speed and productivity can be improved by using neuro-electrostimulation. Also, it was shown that some of the autonomic nervous system characteristics, in particular LF and VLF spectral components of heart rate variability, can be chosen as indicators of human efficiency changes. Copyright © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherSciTePressen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceBIOSIGNALS 2017 - 10th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017en
dc.subjectATTENTIONen
dc.subjectLEARNING DIFFICULTIESen
dc.subjectNEURO-ELECTROSTIMULATIONen
dc.subjectNEUROPLASTICITYen
dc.subjectNEUROSCIENCE OF LEARNINGen
dc.subjectBIOMEDICAL ENGINEERINGen
dc.subjectBIOMIMETICSen
dc.subjectSIGNAL PROCESSINGen
dc.subjectATTENTION PARAMETERSen
dc.subjectAUTONOMIC NERVOUS SYSTEMen
dc.subjectCOGNITIVE PARAMETERSen
dc.subjectHEART RATE VARIABILITYen
dc.subjectLEARNING ABILITIESen
dc.subjectPERIPHERAL NERVOUS SYSTEMen
dc.subjectSPECTRAL COMPONENTSen
dc.subjectSYMPATHETIC NERVOUS SYSTEMSen
dc.subjectLEARNING SYSTEMSen
dc.titleCorrection of attention in a learning ability task with using non-invasive neurostimulation of peripheral nervous systemen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.5220/0006159602690275-
dc.identifier.scopus85051797988-
local.affiliationResearch Medical and Biological Engineering Centre of High Technologies, Ural Federal University, Mira 19, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeKublanov, V., Research Medical and Biological Engineering Centre of High Technologies, Ural Federal University, Mira 19, Yekaterinburg, 620002, Russian Federation
local.contributor.employeePetrenko, A., Research Medical and Biological Engineering Centre of High Technologies, Ural Federal University, Mira 19, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeNabiullina, A., Research Medical and Biological Engineering Centre of High Technologies, Ural Federal University, Mira 19, Yekaterinburg, 620002, Russian Federation
local.description.firstpage269-
local.description.lastpage275-
local.issue4-
dc.identifier.wos000413256500036-
local.identifier.pure6018276-
local.identifier.eid2-s2.0-85051797988-
local.identifier.wosWOS:000413256500036-
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