Obesity is one of the major health risk factors behind the rise of non-communicable conditions. Understanding the factors influencing obesity is very complex since there are many variables that can affect the health behaviors leading to it. Nowadays, multiple data sources can be used to study health behaviors, such as wearable sensors for physical activity and sleep, social media, mobile and health data. In this paper we describe the design of a dashboard for the visualization of actigraphy and biometric data from a childhood obesity camp in Qatar. This dashboard allows quantitative discoveries that can be used to guide patient behavior and orient qualitative research.
|Original language||English (US)|
|Title of host publication||Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017|
|Editors||Panagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|State||Published - Nov 10 2017|
|Event||30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece|
Duration: Jun 22 2017 → Jun 24 2017
|Name||Proceedings - IEEE Symposium on Computer-Based Medical Systems|
|Other||30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017|
|Period||6/22/17 → 6/24/17|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT We would like to acknowledge the contributions of Dr. Mohamed Ahmedna from Qatar University, and all the members of the ICAN project, along with our colleagues at QCRI. The ICAN project was co-funded by the Qatar National Research Fund (a member of Qatar Foundation) under project number NPRP X-036-3-013.
© 2017 IEEE.
- Childhood Obesity
- Wearable data