Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17473
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dc.contributor.authorKostoska, Magdalenaen_US
dc.contributor.authorKoteska, Bojanaen_US
dc.contributor.authorSimjanoska, Monikaen_US
dc.contributor.authorTashkoski, Martinen_US
dc.contributor.authorAckovska, Nevenaen_US
dc.contributor.authorMadevska Bogdanova, Anaen_US
dc.contributor.authorGolubovski, Romanen_US
dc.date.accessioned2022-04-19T11:34:32Z-
dc.date.available2022-04-19T11:34:32Z-
dc.date.issued2016-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/17473-
dc.description.abstract— The current state of the biosensors market offers a big spectra of technologies and prices. The professional biosensors used in professional facilities are still expensive. Our idea is to create a more accessible platform using less expensive biosensors. The main point is to offer the same functionalities of the professional platforms for better price – performance ratio. The proposed platform considers easily accessible biosensors which are used to monitor and process bio signals in real time and store the results in the cloud for further examination and processing.en_US
dc.subjectbiosensors; ehealth; platform; clouden_US
dc.titleeHealth platform prototype for real-time biosensor data transferen_US
dc.typeProceeding articleen_US
dc.relation.conference13th Conference for Informatics and Information Technology (CIIT 2016)en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Natural Sciences and Mathematics-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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