Low-Cost Health-Monitoring in Limited-Resource Settings

Posted on

< Project Overview >

Conventional intensive monitoring of ICU patients’ vital signs requires high-quality monitors and well-trained staff, both of which are unaffordable and unavailable in limited-resource settings, particularly during health emergencies. Low-cost wearable physiological monitors, such as fitness trackers, offer an affordable solution to monitor physiological data in limited-resource settings.

This project will take into account both wearable IoT and the connected infrastructure to produce data driven vital sign monitoring. The immediate impact of the project can rapidly provide intelligent insights by using low-cost wearables connected to the cloud to monitor patients and assist clinical decision-making thus compensating for the lack of healthcare workers and equipment. Longer-term the insights from experiments during this time can support the development of sustainable and impactful IoT infrastructure that has the ability to increase capacity efficiently given short notice.

The project’s primary objective is to provide proof-of-principle that a low-cost health-monitoring using low-cost wearable sensors, recognising the infrastructure they are connected to, can be used to develop predictive monitoring systems for the early detection of patient deterioration in limited-resource settings.


  1. To establish the suitability and usability of existing low-cost wearable sensors to capture key clinical and physiological data for patients in limited-resource settings;
  2. To apply existing expertise to develop a matrix to evaluate the wearable sensors suitable to connect to a health-monitoring system in limited-resource settings;
  3. To assess the potential cost effectiveness of the proposed low-cost health-monitoring system for out-of-hospital monitoring; and
  4. To develop a framework for developing an automated health-monitoring system for scoring physiological data in a limited-resource setting.


Project Lead

Professor David Clifton – University of Oxford

Heloise Greeff – University of Oxford

< Theme >
< Barriers >
< Share >