Assessing a wearable sensor for use in pre-surgical hip replacement planning

Variation exists in total hip replacement surgery outcomes.  Our previous research has demonstrated that factors such as how the patient moves, implant position and design of the hip replacement can influence the performance of a hip replacement.  We believe that assessment of how a patient moves when a surgeon is planning their hip replacement surgery has the potential to improve outcomes.  However, routine current gait analysis is impractical. This project will assess if a low cost, simple wearable sensor can provide motion data of sufficient fidelity to predict performance using computational models we have previously developed.