Publication
Body sensor network mobile solutions for biofeedback monitoring
dc.contributor.author | Pereira, Orlando | |
dc.contributor.author | Caldeira, J.M.L.P. | |
dc.contributor.author | Rodrigues, Joel | |
dc.date.accessioned | 2013-12-02T15:51:31Z | |
dc.date.available | 2013-12-02T15:51:31Z | |
dc.date.issued | 2011 | |
dc.date.updated | 2012-09-11T15:40:08Z | |
dc.description.abstract | Body sensor networks (BSN) appeared as an application of Wireless Sensor Networks (WSN) to medicine and biofeedback. Such networks feature smart sensors (biosensors) that capture bio-physiological parameters from people and can offer an easy way for data collection. BSNs also need suitable interfaces for data processing, presentation, and storage for latter retrieval. As a result, Bluetooth technology can be used to communicate with several more powerful and graphical user interface (GUI)-enabled devices such as mobile phones or regular computers. Taking into account that people currently use mobile and smart phones, it offers a good opportunity to propose a suitable mobile system for BSN networks. This paper presents a BSN mobile solution for biofeedback monitoring using the four major smart phone platforms: Symbian, Windows Mobile, Android, and iPhone. As case study, a sensing health with intelligence modularity, mobility and experimental reusability (SHIMMER) platform with a core-body temperature sensor enabled to construct the BSN was used. The four mobile applications were evaluated and validated, and are ready for use. | por |
dc.identifier.citation | PEREIRA, Orlando; CALDEIRA, João M. L. P.; RODRIGUES, Joel (2011) - Body sensor network mobile solutions for biofeedback monitoring. Mobile Networks and Applications. ISSN 1383-469X. Vol. 16, nº 6, p. 713-732. | por |
dc.identifier.issn | 1572-8153 | |
dc.identifier.uri | http://hdl.handle.net/10400.11/2130 | |
dc.language.iso | eng | por |
dc.peerreviewed | yes | por |
dc.publisher | Springer | por |
dc.relation.publisherversion | http://download.springer.com/static/pdf/390/art%253A10.1007%252Fs11036-010-0278-y.pdf?auth66=1386170925_27a2d226b3310a80ea71f577a58aa335&ext=.pdf | por |
dc.subject | Mobile and pervasive computing | por |
dc.subject | Ubiquitous computing | por |
dc.subject | Biosensor | por |
dc.subject | Biofeedback | por |
dc.subject | E-Health | por |
dc.subject | Body sensor networks | |
dc.title | Body sensor network mobile solutions for biofeedback monitoring | por |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.title | Mobile Networks and Applications | por |
person.familyName | Caldeira | |
person.familyName | Puga Coelho Rodrigues | |
person.givenName | João | |
person.givenName | Joel José | |
person.identifier.ciencia-id | A91B-85B8-C27E | |
person.identifier.ciencia-id | D615-299E-7C68 | |
person.identifier.orcid | 0000-0001-5830-3790 | |
person.identifier.orcid | 0000-0001-8657-3800 | |
person.identifier.scopus-author-id | 27067580500 | |
rcaap.rights | restrictedAccess | por |
rcaap.type | article | por |
relation.isAuthorOfPublication | 8eebc97c-5334-4f29-b7ee-71c4c436aa69 | |
relation.isAuthorOfPublication | 4d33cf94-b340-4ff0-a117-9624e5fe3bab | |
relation.isAuthorOfPublication.latestForDiscovery | 4d33cf94-b340-4ff0-a117-9624e5fe3bab |