The foot complications constitute a tremendous challenge for diabetic patients, caregivers, and the healthcare system. The proposed sparse representation/reconstruction system can: (1) Reconstruct the pressure image of foot using a personalized plantar pressure model; (2) Collect pressure data continuously with a low-power data acquisition system and wirelessly transmits it; (3) Use the smart phone to run risk assessment analytics to provide instant feedback to the patient; (3) Enable healthcare providers to run a comprehensive analysis tool on the long-term collected data on the base-station to make a better treatment advice and plan for each patient.
Selected Publication:
- “Spatially-Continuous Plantar Pressure Reconstruction Using Compressive Sensing,” MLHC’17.
- “A Knowledge-Based Modeling for Plantar Pressure Image Reconstruction”, TBME’14.
- “Continuous Plantar Pressure Modeling Using Sparse Sensors”, BIBE’12.
- “Sensor Architectural Tradeoff for Diabetic Foot Ulcer Monitoring”, EMBC’2012.