About USOur mission is to support health sciences based on a community-, data-, and technology-driven approach to health, thereby enhancing the mental and physical health of people and societies. The Health SciTech’s focus is defined by “Technology” which refers to preventive care, patient care, and patient safety through the application of sensing technologies (e.g., Internet of Things and Wearable Technology), mobile computing and effective data management methodologies.
- Aug 2019 We are organizing a special issues in IEEE Journal of Biomedical and Health Informatics (IF: 4.2).
- Aug 2019 A book chapter was accepted to Wiley's Fog Computing: Theory and Practice book.
- Aug 2019 A paper was accepted to 2019 IEEE/ACM Conference on Connected Health (CHASE)
- Jul 2019 An article was accepted to ACM Transactions on Computing for Healthcare (HEALTH) journal.
Pain is an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage (IASP 2015). It is a subjective sensation and patients self-report is considered the most reliable indicator of pain. However, assessment of pain is particularly difficult when the ability of the patient to communicate is limited or impossible e.g. during critical illness, under sedation and …
Quality of Experience (QoE) is a key metric for the successful delivery of end-user services for IoT-enabled applications. Achieving consistent end-user QoE poses tremendous challenges in the face of resource constraints and dynamic variations at multiple scales of the IoT system stack: at the application, network, resource, and device levels. This proposal outlines a self-aware cognitive architecture – the Internet of Cognitive Things (IoCT) – that delivers acceptable QoE by adapting …
Preterm birth (PTB) is the most common cause of neonatal deaths. Due to the high rate of PTBs (15M/y), it is extremely beneficial to identify the women at risk at early stage and prevent PTB. Physiological parameters could help us to uncover and model multifactorial processes that lead to PTB. Continuous monitoring of such parameters holds significant promise to successful prevention. Internet of Things (IoT) technologies can be leveraged to perform such monitoring pregnancy. In this project, we tackle PTB issues by proposing an IoT platform …