Wearable Sensing Technology, Dibatic Foot Ulcers, Inertial Measurement Unit (IMU), Machine Learning, Healthcare System
I am an Engineer, currently working as a Research Associate in the Institute for Manufacturing, Department of Engineering, University of Cambridge. Inspired by my early experiences in resource-limited settings, I am particularly interested in how to improve healthcare services with mobile, wearable sensing technologies and artificial intelligence.
I have developed an in-shoe sensory system for simultaneous measurements of plantar pressure and shear stress across the entire plantar surface. Plantar pressure and shear stress are believed to play an important role in the development of diabetic foot ulcers，which is a huge clinical challenge worldwide. The developed sensory system is helpful to improve our understanding of pathology of DFUs and provide effective prevention of foot ulcers by quantifying the plantar load. My current research is to estimate ankle motion using inertial measurement (IMU) signal. A four-IMU measurement system is designed and used for data collection in a clinical gait lab. The purpose is to collect and analyze data indoor and outdoor in real time meanwhile maximize the battery life, and thus the system can provide continuous measurements for longer time.