Implementation of Context Aware e-Health Environments Based on Social Sensor Networks
In this work, context aware scenarios applied to e-Health and m-Health in the framework of typical households (urban and rural) by means of deploying Social Sensors will be described. Interaction with end-users and social/medical staff is achieved using a multi-signal input/output device, capable of...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/16/3/310 |
| _version_ | 1811302373005459456 |
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| author | Erik Aguirre Santiago Led Peio Lopez-Iturri Leyre Azpilicueta Luís Serrano Francisco Falcone |
| author_facet | Erik Aguirre Santiago Led Peio Lopez-Iturri Leyre Azpilicueta Luís Serrano Francisco Falcone |
| author_sort | Erik Aguirre |
| collection | DOAJ |
| description | In this work, context aware scenarios applied to e-Health and m-Health in the framework of typical households (urban and rural) by means of deploying Social Sensors will be described. Interaction with end-users and social/medical staff is achieved using a multi-signal input/output device, capable of sensing and transmitting environmental, biomedical or activity signals and information with the aid of a combined Bluetooth and Mobile system platform. The devices, which play the role of Social Sensors, are implemented and tested in order to guarantee adequate service levels in terms of multiple signal processing tasks as well as robustness in relation with the use wireless transceivers and channel variability. Initial tests within a Living Lab environment have been performed in order to validate overall system operation. The results obtained show good acceptance of the proposed system both by end users as well as by medical and social staff, increasing interaction, reducing overall response time and social inclusion levels, with a compact and moderate cost solution that can readily be largely deployed. |
| first_indexed | 2024-04-13T07:27:04Z |
| format | Article |
| id | doaj.art-7e6f47c23a544ff4bcd17aed9e82cd49 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:27:04Z |
| publishDate | 2016-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7e6f47c23a544ff4bcd17aed9e82cd492022-12-22T02:56:27ZengMDPI AGSensors1424-82202016-03-0116331010.3390/s16030310s16030310Implementation of Context Aware e-Health Environments Based on Social Sensor NetworksErik Aguirre0Santiago Led1Peio Lopez-Iturri2Leyre Azpilicueta3Luís Serrano4Francisco Falcone5Electrical and Electronic Engineering Department, Public University of Navarre, Pamplona 31006, SpainElectrical and Electronic Engineering Department, Public University of Navarre, Pamplona 31006, SpainElectrical and Electronic Engineering Department, Public University of Navarre, Pamplona 31006, SpainSchool of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, MexicoElectrical and Electronic Engineering Department, Public University of Navarre, Pamplona 31006, SpainElectrical and Electronic Engineering Department, Public University of Navarre, Pamplona 31006, SpainIn this work, context aware scenarios applied to e-Health and m-Health in the framework of typical households (urban and rural) by means of deploying Social Sensors will be described. Interaction with end-users and social/medical staff is achieved using a multi-signal input/output device, capable of sensing and transmitting environmental, biomedical or activity signals and information with the aid of a combined Bluetooth and Mobile system platform. The devices, which play the role of Social Sensors, are implemented and tested in order to guarantee adequate service levels in terms of multiple signal processing tasks as well as robustness in relation with the use wireless transceivers and channel variability. Initial tests within a Living Lab environment have been performed in order to validate overall system operation. The results obtained show good acceptance of the proposed system both by end users as well as by medical and social staff, increasing interaction, reducing overall response time and social inclusion levels, with a compact and moderate cost solution that can readily be largely deployed.http://www.mdpi.com/1424-8220/16/3/310social sensorswireless body area networksdeterministic radio planningback office |
| spellingShingle | Erik Aguirre Santiago Led Peio Lopez-Iturri Leyre Azpilicueta Luís Serrano Francisco Falcone Implementation of Context Aware e-Health Environments Based on Social Sensor Networks Sensors social sensors wireless body area networks deterministic radio planning back office |
| title | Implementation of Context Aware e-Health Environments Based on Social Sensor Networks |
| title_full | Implementation of Context Aware e-Health Environments Based on Social Sensor Networks |
| title_fullStr | Implementation of Context Aware e-Health Environments Based on Social Sensor Networks |
| title_full_unstemmed | Implementation of Context Aware e-Health Environments Based on Social Sensor Networks |
| title_short | Implementation of Context Aware e-Health Environments Based on Social Sensor Networks |
| title_sort | implementation of context aware e health environments based on social sensor networks |
| topic | social sensors wireless body area networks deterministic radio planning back office |
| url | http://www.mdpi.com/1424-8220/16/3/310 |
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