Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22820
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dc.contributor.authorVićentić, Teodoraen_US
dc.contributor.authorRašljić Rafajilović, Milenaen_US
dc.contributor.authorIlić, Stefanen_US
dc.contributor.authorKoteska, Bojanaen_US
dc.contributor.authorMadevska Bogdanova, Anaen_US
dc.contributor.authorPašti, Igoren_US
dc.contributor.authorLehocki, Fedoren_US
dc.contributor.authorSpasenović, Markoen_US
dc.date.accessioned2022-09-02T12:14:57Z-
dc.date.available2022-09-02T12:14:57Z-
dc.date.issued2022-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22820-
dc.description.abstractWearable sensors are reaching maturity, at the same time as technologies for communicating physiological data and those for analyzing massive amounts of data. The combination of the three technologies invites for applications in mass screening of personal health through smart algorithm deployment on data from wearable patches. We propose and present an architecture for a wearable patch to be used in mass casualty emergency situations, or for hospital bedside monitoring. The proposed patch will contain multiple sensors of physiological parameters. We propose to create respiration and heartbeat sensors made of laser induced graphene. We show that graphene on flexible substrates can be utilized in conjunction with the Python heart rate analysis toolkit - HeartPy to reliably acquire physiological data from human subjects.en_US
dc.subjectwearables, graphene, Python, sensors, electronicsen_US
dc.titleWearable Patch for Mass Casualty Screening with Graphene Sensorsen_US
dc.typeProceedingsen_US
dc.relation.conference19th International Conference on Informatics and Information Technologies, CIIT 2022en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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