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Iot-Enabled Mobile Device for Electrogastrography Signal Processing

dc.authoridMakhmudjanov, Sarvar/0000-0002-8642-6808
dc.authoridSingh, Dhananjay/0000-0003-3822-9348
dc.authoridZaynidinov, Hakimjon/0000-0002-8098-5246
dc.authoridRajabov, Farkhat/0000-0003-0917-945X
dc.authorwosidMakhmudjanov, Sarvar/GOP-0475-2022
dc.authorwosidSingh, Dhananjay/ABA-9824-2020
dc.authorwosidZaynidinov, Hakimjon/ABB-9196-2020
dc.authorwosidSingh, Dhananjay/I-2459-2014
dc.authorwosidRajabov, Farkhat/HKO-5234-2023
dc.contributor.authorZaynidinov, Hakimjon
dc.contributor.authorMakhmudjanov, Sarvar
dc.contributor.authorRajabov, Farkhad
dc.contributor.authorSingh, Dhananjay
dc.contributor.otherDepartment of Artificial Intelligence
dc.date.accessioned2024-12-16T16:27:52Z
dc.date.available2024-12-16T16:27:52Z
dc.date.issued2021
dc.departmentTashkent University of Information Technologiesen_US
dc.department-temp[Zaynidinov, Hakimjon; Makhmudjanov, Sarvar; Rajabov, Farkhad] Tashkent Univ Informat Technol, Tashkent, Uzbekistan; [Singh, Dhananjay] Hankuk Univ Foreign Studies, Dept Elect Engn, ReSENSE Lab, Seoul, South Koreaen_US
dc.descriptionMakhmudjanov, Sarvar/0000-0002-8642-6808; Singh, Dhananjay/0000-0003-3822-9348; Zaynidinov, Hakimjon/0000-0002-8098-5246; Rajabov, Farkhat/0000-0003-0917-945Xen_US
dc.description.abstractElectrogastrography (EGG) is a powerful instrument that represents and provides high time precision for direct heart activities. After processing the chest skin for the contact process by network electrodes, the conventional method of collecting heart signals involves the presence of electrodes directly connected to the patient's chest using gelatin. One of the most critical activities is tracking the clinical signs of cardiac patients. A real-time EGG signal acquisition and processing device is developed to observe patients in various IoT-based environments is discussed in this article. The EGG signals that are detected are passed to special software. For further protection, it is ensured that the transmission of the EGG signal from the patient without distortion to the doctors should take place. The ambulatory and wearable device for the transmission of real-time EGG signals is discussed in this article in order to monitor patients in various environments. For further analysis, the captured EGG signal is transferred to software and signals are transferred to the doctors for real-time evaluation of the patient.en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.citation3
dc.identifier.doi10.1007/978-3-030-68452-5_36
dc.identifier.endpage356en_US
dc.identifier.isbn9783030684525
dc.identifier.isbn9783030684518
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.scopusqualityQ3
dc.identifier.startpage346en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-68452-5_36
dc.identifier.urihttps://tuit-demo.gcris.com/handle/123456789/78
dc.identifier.volume12616en_US
dc.identifier.wosWOS:000833522600036
dc.identifier.wosqualityN/A
dc.institutionauthorZaynidinov, Hakimjon
dc.language.isoenen_US
dc.publisherSpringer international Publishing Agen_US
dc.relation.ispartof12th International Conference on Intelligent Human Computer Interaction (IHCI) -- NOV 24-26, 2020 -- Daegu, SOUTH KOREAen_US
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInternet of Thingsen_US
dc.subjectGastroenterological signalen_US
dc.subjectHealthcareen_US
dc.subjectFilteringen_US
dc.subjectB-splineen_US
dc.subjectWeb technologiesen_US
dc.subjectBluetoothen_US
dc.subjectSensorsen_US
dc.titleIot-Enabled Mobile Device for Electrogastrography Signal Processingen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoverydf075cf5-df14-47f6-9426-7614ac1eb8d0
relation.isOrgUnitOfPublication23cc2802-d886-477f-bb84-03d2f542d30f
relation.isOrgUnitOfPublication.latestForDiscovery23cc2802-d886-477f-bb84-03d2f542d30f

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