Abstract
Over the last years significant efforts have been made to prevent and/or minimize exposure to a wide range of environmental risks (e.g. air pollution and nutrition) that adverse health effects especially among vulnerable populations including pregnant women. Towards this direction, mHealth approaches can provide the means for remotely capturing the environmental factors that affect maternal health, and replace traditional, tedious ways of logging, e.g. face-to-face interviews. This work presents mMamee, a mHealth platform for monitoring and assessing maternal environmental exposure. mMamee employs a client-server architecture and addresses the integration of sensing data and descriptive input on maternal daily habits. The future application of this platform to monitor environmental exposure during pregnancy is outlined. The conclusions derived highlight the feasibility of mMamee for the realization of long-term epidemiological studies.
Original language | English |
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Title of host publication | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 163-168 |
Number of pages | 6 |
Volume | 2015-July |
ISBN (Print) | 9781467367752 |
DOIs | |
Publication status | Published - 24 Jul 2015 |
Event | 28th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2015 - Sao Carlos and Ribeirao Preto, Brazil Duration: 22 Jun 2015 → 25 Jun 2015 |
Conference
Conference | 28th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2015 |
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Country/Territory | Brazil |
City | Sao Carlos and Ribeirao Preto |
Period | 22/06/2015 → 25/06/2015 |
Keywords
- Client-server architectures
- Environmental Exposure
- Maternal Health
- mHealth
- Mobile Computing