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Conference Paper: Semi-automatic remote medicine monitoring system of miners

TitleSemi-automatic remote medicine monitoring system of miners
Authors
Liu, LinluZhao, WeidanYang, YongjianDu, Zhanwei
KeywordsMobile
Remote medical care system
Ontology model
Issue Date2015
Citation
UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015, p. 93-96 How to Cite?
DOI: http://dx.doi.org/10.1145/2800835.2800879
AbstractThe advances in biological sensors have resulted in rapid development of various remote medical care systems, which enable extended independent living at home and improvement of life quality for individuals. Now, it's possible for us to monitor not only people's physical health but also mental health. Considering incomplete utilization of mental sensors and electronic health record in most Remote medical care systems of miners, we propose a remote medical care system to monitor miners' physical and mental health, with the ontology model of Electronic health record knowledge. In this study, health solutions about the EHR and emotion (ontology model of EHR and emotion detection method) are shown. Finally, some preliminary tests are given out to show this system's practicability and novelty.
Persistent Identifierhttp://hdl.handle.net/10722/296128

 

DC FieldValueLanguage
dc.contributor.authorLiu, Linlu-
dc.contributor.authorZhao, Weidan-
dc.contributor.authorYang, Yongjian-
dc.contributor.authorDu, Zhanwei-
dc.date.accessioned2021-02-11T04:52:53Z-
dc.date.available2021-02-11T04:52:53Z-
dc.date.issued2015-
dc.identifier.citationUbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015, p. 93-96-
dc.identifier.urihttp://hdl.handle.net/10722/296128-
dc.description.abstractThe advances in biological sensors have resulted in rapid development of various remote medical care systems, which enable extended independent living at home and improvement of life quality for individuals. Now, it's possible for us to monitor not only people's physical health but also mental health. Considering incomplete utilization of mental sensors and electronic health record in most Remote medical care systems of miners, we propose a remote medical care system to monitor miners' physical and mental health, with the ontology model of Electronic health record knowledge. In this study, health solutions about the EHR and emotion (ontology model of EHR and emotion detection method) are shown. Finally, some preliminary tests are given out to show this system's practicability and novelty.-
dc.languageeng-
dc.relation.ispartofUbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers-
dc.subjectMobile-
dc.subjectRemote medical care system-
dc.subjectOntology model-
dc.titleSemi-automatic remote medicine monitoring system of miners-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1145/2800835.2800879-
dc.identifier.scopuseid_2-s2.0-84962600971-
dc.identifier.spage93-
dc.identifier.epage96-

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