Application of MEMS sensors to develop condition monitoring techniques for humans

The overall goal of this PhD is to develop a sensor-based system’s solution for condition monitoring of human movement, with a focus on the lower limbs. The outcome will be a model that would predict, track and monitor changes in joint function. Currently, sensor systems are not deployed in this sector and there is limited knowledge as to how to monitor movement, the variability between individuals and changes due to specific medical conditions. It is therefore not possible to assess accurately and consistently a condition and determine if there are any significant changes which may lead to a failure. Musculoskeletal testing is typically used as a means of assessing the functionality of the lower extremities, yet there is no common protocol that will test all joints, muscles, ligaments and tendons. In sports, tests are undertaken to support diagnosis of an individual’s injury or to monitor changes in performance. In the medical field very basic walk and limited functional tests are performed. Furthermore, these tests are generally visually assessed and generally different protocols are used, although new bio mechanical systems that can be used for this application are now becoming available. This means that currently common objective data is not available to determine the capability between individuals and subsequently any indicators of a problem occurring cannot be shared between groups.