Mobile apps for IBD self: management using wearable devices and sensors

Smart technology, like wearable sensors or biochips, presents a vast capacity for monitoring vital signs, assess patients' behaviour and context, and simultaneously provide feedback with a significant effect in diagnosis, treatment, and control of diseases. Many chronic disease, in particular Inflammatory Bowel Disease (IBD), patients need to monitor their behaviour and register their disease history (e.g. symptoms, medication intake), as well as collect their physiological data, in order to control the disease, find correlations between their behaviour and the disease progress and help doctors to adjust treatment and promote patients behaviour changes. We have been working in the use of m-health applications by chronic disease patients to facilitate self-management of their diseases and increase their autonomy. We are now studying the use of wearable devices and biochips to automatically collect patients' data and empower them in managing their own health conditions.

[1]  L. M. Correia,et al.  Decisões clínicas na doença de Crohn , 2012 .

[2]  Claudia Alexandra Pernencar,et al.  My Crohn's diease on real time information , 2013, 2013 IEEE 2nd International Conference on Serious Games and Applications for Health (SeGAH).

[3]  Teresa Romão,et al.  The design process of an e-Health project: Applying the HSI framework for interface analysis , 2016, 2016 IEEE International Conference on Serious Games and Applications for Health (SeGAH).

[4]  Bin Xu,et al.  Activity-aware heart sensing in mobile healthcare , 2011, mHealthSys '11.

[5]  J. Reginster,et al.  Smart wearable body sensors for patient self-assessment and monitoring , 2014, Archives of Public Health.

[6]  H. Lewy Wearable technologies - future challenges for implementation in healthcare services. , 2015, Healthcare technology letters.

[7]  George Demiris,et al.  Download Alert: Understanding Gastroenterology Patients' Perspectives on Health-Related Smartphone Apps , 2015, Clinical and Translational Gastroenterology.

[8]  Kyung-Yong Chung,et al.  Mobile healthcare application with EMR interoperability for diabetes patients , 2013, Cluster Computing.