Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3445
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tsapatsoulis, Nicolas | - |
dc.contributor.author | Theodosiou, Zenonas | - |
dc.contributor.other | Τσαπατσούλης, Νικόλας | - |
dc.contributor.other | Θεοδοσίου, Ζήνωνας | - |
dc.date.accessioned | 2015-02-04T15:46:09Z | - |
dc.date.accessioned | 2015-12-08T09:14:02Z | - |
dc.date.available | 2015-02-04T15:46:09Z | - |
dc.date.available | 2015-12-08T09:14:02Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), 2013 vol. 1, no. 3, pp. 68-81 | en_US |
dc.identifier.issn | 21667241 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/3445 | - |
dc.description.abstract | The application of mobile technologies for health monitoring has garnered great attention during the last years. The sensors together with a mobile device form a personal area network that monitors the patient’s health status. It gives advice to the patient, adjusts the environmental conditions according to the patient’s needs, and in the case of an emergency, notifies the patient’s doctor or the corresponding medical center. In the current work the authors present a new attention-based architecture for health monitoring emphasizing on the identification of attention seeking and dangerous health states. The experimental results indicate that the proposed architecture responses very fast to the changes of the patient’s biosignals and accurately in decisions concerning the patient’s health status. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) | en_US |
dc.rights | © International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) | en_US |
dc.subject | Artificial agents | en_US |
dc.subject | Biosignals | en_US |
dc.subject | Context-Awareness | en_US |
dc.subject | Health monitoring | en_US |
dc.subject | Mobile technologies | en_US |
dc.title | Attention-Based Health Monitoring | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Media and Communications | en_US |
dc.journals | Subscription | en_US |
dc.review | Peer Reviewed | en |
dc.country | Cyprus | en_US |
dc.subject.field | Social Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.4018/ijmstr.2013070105 | en_US |
dc.dept.handle | 123456789/100 | en |
dc.relation.issue | 3 | en_US |
dc.relation.volume | 1 | en_US |
cut.common.academicyear | 2020-2021 | en_US |
dc.identifier.spage | 68 | en_US |
dc.identifier.epage | 81 | en_US |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Communication and Marketing | - |
crisitem.author.dept | Department of Communication and Internet Studies | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.orcid | 0000-0002-6739-8602 | - |
crisitem.author.orcid | 0000-0003-3168-2350 | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
crisitem.journal.journalissn | 2166-725X | - |
crisitem.journal.publisher | IGI | - |
Appears in Collections: | Άρθρα/Articles |
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