PREMIERTOGO is a research initiative to advance a smart, AI-driven above-knee prosthesis and an adaptive amputee healthcare service. Building on a TRL-4 prototype, the project integrates embedded sensors, generative design and 3D-printed modular covers with a real-time human–machine interface to enhance mobility, comfort and power efficiency. It also develops a Patient/Prosthesis Management System that uses live data and AI to support proactive aftercare, predictive maintenance and clinician decision-making.
Most prosthetic legs provide little information about pressure or movement. PREMIERTOGO introduces embedded sensors that give real time feedback to improve comfort and prevent complications.
Some powered prostheses are often bulky and inefficient. PREMIERTOGO uses generative design and optimised actuators to create lighter, stronger and more energy efficient devices.
Prosthetics have historically prioritised function over appearance, leading to rejection by some users. PREMIERTOGO designs covers that are both functional and visually appealing, encouraging pride and acceptance.
Most prosthetics are stand-alone devices with little connection to healthcare systems. PREMIERTOGO develops an AI powered service system that links prosthetic data with patient management for predictive care.