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dc.contributor.authorKublanov, V.en
dc.contributor.authorDolganov, A.en
dc.date.accessioned2020-10-20T16:36:53Z-
dc.date.available2020-10-20T16:36:53Z-
dc.date.issued2019-
dc.identifier.citationKublanov V. Processing the results of electroencephalography for patients suffering from depression after neuro-electrostimulation course: Case study / V. Kublanov, A. Dolganov. — DOI 10.5220/0007695605770582 // HEALTHINF 2019 - 12th International Conference on Health Informatics, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019. — 2019. — P. 577-582.en
dc.identifier.isbn9789897583537-
dc.identifier.otherhttps://doi.org/10.5220/0007695605770582pdf
dc.identifier.other1good_DOI
dc.identifier.other00cdaafd-35b2-4626-b3a7-24708dbc4f77pure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85064653358m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/92708-
dc.description.abstractThe article presented the results of electroencephalography (EEG) signal processing in a case study of neuro-electrostimulation application for patients suffering from depression. Neuro-electrostimulation was performed by the SYMPATHOCOR-01 device in two modes - multichannel and single-channel stimulation. The analysis of changes in the EEG activity maps during neuro-electrostimulation course was carried out. The common conclusion for all patients is an increase in the homogeneity for the distribution of spectral power density for EEG signals. A quantitative method for estimating the level of the brain zones activation was proposed. For patients from the multichannel stimulation group, an increase in the activation level was observed. It was noted that for patients from the single-channel stimulation group there were zones in which a significant decrease in the level of activation was observed. © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.en
dc.description.sponsorshipRussian Foundation for Basic Research, RFBR: 18-29-02052en
dc.description.sponsorshipGovernment Council on Grants, Russian Federationen
dc.description.sponsorshipThe EEG signals data acquisition within the study (Chapter 2) was supported by the Act 211 of the Government of the Russian Federation (contract no. 02.A03.21.0006). The EEG signals data processing (Chapter 3) was funded by RFBR (project no, 18-29-02052).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherSciTePressen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceHEALTHINF 2019 - 12th International Conference on Health Informatics, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019en
dc.subjectCASE STUDYen
dc.subjectELECTROENCEPHALOGRAPHYen
dc.subjectNEURO-ELECTROSTIMULATIONen
dc.subjectNEUROVISUALISATIONen
dc.subjectBIOMEDICAL ENGINEERINGen
dc.subjectCHEMICAL ACTIVATIONen
dc.subjectELECTROPHYSIOLOGYen
dc.subjectMEDICAL INFORMATICSen
dc.subjectSIGNAL PROCESSINGen
dc.subjectACTIVATION LEVELen
dc.subjectEEG ACTIVITYen
dc.subjectELECTROSTIMULATIONen
dc.subjectMULTICHANNELen
dc.subjectNEUROVISUALISATIONen
dc.subjectQUANTITATIVE METHODen
dc.subjectSINGLE CHANNELSen
dc.subjectSPECTRAL POWER DENSITYen
dc.subjectELECTROENCEPHALOGRAPHYen
dc.titleProcessing the results of electroencephalography for patients suffering from depression after neuro-electrostimulation course: Case studyen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.5220/0007695605770582-
dc.identifier.scopus85064653358-
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.employeeDolganov, A., Research Medical and Biological Engineering Centre of High Technologies, Ural Federal University, Mira 19, Yekaterinburg, 620002, Russian Federation
local.description.firstpage577-
local.description.lastpage582-
dc.identifier.wos000700363100068-
local.identifier.pure9303841-
local.identifier.eid2-s2.0-85064653358-
local.fund.rffi18-29-02052-
local.identifier.wosWOS:000700363100068-
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