Resource-Constrained mHealth

One of my major research focus areas is Resource-Constrained mHealth, that is, leveraging telelmedicine, mHealth, data mining, artificial intelligence and signal processing to improve automated or semi-automated diagnostics using low cost computational power readily available in billions of mobile phones and could computing environments. Existing supply chains in resource-poor regions are leveraged, rather than the building new supply chains. Education, sustainability and human factors are also considered, and therefore the technology is co-designed by public & primary healthcare specialists, anthropologists and business entitites.

Together with students in teh Department of Engineering Science at Oxford, we have started Engineering World Health in Oxford - EWH-Oxford.
EWH-Oxford is a group of students, researchers and faculty at the University of Oxford working on projects realted to healthcare in resource-poor regions and is a chapter of Engineering World Health (EWH). EWH's mission is "To inspire and mobilize the biomedical engineering community to improve the quality of health care in vulnerable communities. ... [through] activities such as travelling to developing countries to work in hospitals, designing novel medical technologies appropriate for resource-poor settings, [repairing, maintaining and] building medical devices for use in developing countries, and promoting understanding and goodwill between the developed and developing world."
EWH-Oxford's approach is closely related to EWH's mission, although we concentrate on the core strengths of Oxford's Institute of Biomedical Engieering (IBME), where we are based. In particular, our projects tend to focus on mHealth intiatives to provide rapid, high quality information transmission, and low-cost diagnsotic systems which utilize the almost ubiquitous global cellular networks. Our projects aim to adapt advanced signal processing and machine learning methods to run on low-cost handheld internet-connected devices.