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Wireless Fabric Patch Sensors for Wearable Healthcare

DC Field Value Language
dc.contributor.authorYoo, Hoi-Jun-
dc.contributor.authorYoo, Jerald-
dc.contributor.authorYan, Long-
dc.date.accessioned2024-05-03T04:35:32Z-
dc.date.available2024-05-03T04:35:32Z-
dc.date.created2024-05-01-
dc.date.issued2010-
dc.identifier.citationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp.5254-5257-
dc.identifier.issn0589-1019-
dc.identifier.urihttps://hdl.handle.net/10371/200856-
dc.description.abstractTwo novel wireless fabric patch sensor are introduced for low energy wearable healthcare. The first is a wirelessly powered patch sensor that can be attached to a patient to capture electrocardiogram (ECG) while consuming only 12 mu W. By using fabric circuit board technology, the band-aid like sensor is implemented. The second wearable cardiac healthcare sensor, fabricated in the form of 4-layer compact smart poultice type including flexible battery, can extend to monitor bio-impendance together with ECG signals at 16 different sites of the heart with 25 reconfigurable electrodes. It also provides cm-range inductive coupled remote system start-up and duty-cycled data transmission using body as communication channel for a low energy wireless interconnectivity. Both sensors exploit dry fabric electrodes to minimize skin irritation during clinical long term operation.-
dc.language영어-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleWireless Fabric Patch Sensors for Wearable Healthcare-
dc.typeArticle-
dc.identifier.doi10.1109/IEMBS.2010.5626295-
dc.citation.journaltitleAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings-
dc.identifier.wosid000287964005161-
dc.identifier.scopusid2-s2.0-78650814958-
dc.citation.endpage5257-
dc.citation.startpage5254-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorYoo, Jerald-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
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Yoo, Jerald유담
부교수
  • College of Engineering
  • Department of Electrical and Computer Engineering
Research Area Biomedical Applications, Energy-Efficient Integrated Circuits

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